I’ve recently finished listening to Ian Urbina’s excellent book, The Outlaw Ocean, on my summertime bike rides on the Palouse. He covers a variety of topics in the book, from Paul Watson’s Sea Shepherd crew chasing illegal fishing boats in the Southern Ocean, to the more quixotic adventures on Sealand, an abandoned artillery platform-cum-country just miles off the British coast.
The book is amazing insofar as the author, in writing it, actually survived to write it. There are so many opportunities offered up for assassination during witnessing that Urbina talks about, I can’t even imagine how he survived. And while I do know, from my Class V kayaking days, the attitude of managing incumbent disaster and even enjoying it, I can’t imagine the long, boring hours at sea where one might actually ponder one’s fate. Whitewater’s offers of eternal liberation show up fast and furious, and once you put in on a river, there is beauty aplenty to distract you while you navigate the indifferent forces of water and Mother Nature.
But all that time at sea — I can’t help but think of Nietzsche’s famous quote — stare into the abyss long enough, and the abyss stares back at you.
The most interesting part of the book for me was reading about treatment of the various fishing fleet crews, and the indifference of the various national masters of those fleets, towards either indirect inescapable indentured servitude, or even direct enslavement of crew members. The first form is far more prevalent than the first, but the second is also real. Urbina profiles various individuals sold as human chattels into slavery, and literally traded on the high seas. If you need a picture of modern slavery, you need to look no further. The deep reality is that it is likely not that different than the historic variety, filled with beatings and isolation. Reading the book will fill you with a contempt for Confederate revisionists, that’s for sure. Really? You think slavery was a happy time? Really?
The thing that stuck out to me more than anything, though (not surprisingly, for those that know my writing) is the larger macro labor dynamics involved. Almost all the countries profiled — Taiwan being the most notable — are rapidly rising, middle-class economies. As someone who’s been to Taiwan, I’ve often said in custom and policy it has more in common with Western Europe than its other East Asian neighbors.
But what that does is create conditions for a labor shortage — where the nastiest jobs simply cannot be filled by the native residents. And the native residents still have the demands that they historically had for (in this case) diet. Someone has to do those jobs that no one wants to do. In the case of Taiwan, it’s people from Cambodia, the Philippines, and Indonesia. And lest one think it’s only Taiwan — it’s not. There is a larger dynamic that exists in keeping people in brutal jobs. Urbina’s book leaves no doubt that fishing is one of those jobs. What happens when you generate a social welfare state in the middle of other nations grappling constantly with severe poverty? You create the dynamic for slavery.
Urbina profiles multiple times the various staffing agencies that are used to keep crews on the various nation’s fishing boats coming back, often in the face of the usual smorgasbord of brutality, including rape. What is also discussed is how little the men (and they are basically all men) are paid in the context of the work. I think the easy, go-to answer here regarding low wages is that the fishing companies themselves want to maximize profits, and of course, they do. But there’s an underlying dynamic that’s also prevalent that is likely more important. When people are paid so poorly, they cannot generate any other options for livelihoods. They have to keep coming back, no matter what the conditions. Their families, the recipients of the meager wages, need the money, and there is no way to better one’s economic prospects. So they are literally “wage slaves”, in a way that one-ups any Western version of the same term.
This dynamic, of paying people so poorly, who are often nationally disenfranchised, is not unique to the fishing industry. The media’s coverage of the COVID-19 pandemic seriously turned up the heat on the meat-packing industry back during the real thick of the pandemic. Meat packing plant workers, working in confined spaces, in wet, warm environments, were subject to rapid spread of COVID through working conditions. And indeed, when COVID-19 showed up in those environments, it rapidly spread to everyone in the plant. Testing was (and still is) weak, but it’s safe to say that if you worked in a plant, you were part of what I call the “COVID infectiousness experiment.” The answer to that is “Yes — COVID is very infectious.” But what was not reported, mostly because it wasn’t particularly interesting, was that the COVID death rates were nominal, or likely even under any national average. It’s hard to tell without extensive research. Writing about how the media has handled the pandemic will have to wait. But the short version is that if the storyline in this time doesn’t fit “COVID is the scourge of the ages” — it’s not going to get researched and published.
What I found more shocking and sad than any COVID-19 story about the meatpacking industry is the usual state of affairs extant in the labor situation in the meatpacking industry. A good hunk of the labor force consists of undocumented immigrants, paid a bare minimum wage, with lousy health care, working in slaughterhouses where the noise levels of screaming animals would make you wild. For folks that normally read this blog, yes — I am a meat eater, and I believe that a lack of saturated fat in our diets is actually condemning us to the metabolic syndrome/diabetes crisis that is fueling a part of our national collapse.
But at the same time, one can see where we have created a dynamic not unlike the dynamics on the various fishing boats of rising economies. These are jobs no one wants to do, and the reason for the paltry pay is not so much a factor of increased profits. It’s because if people were paid more, they would leave. Who wants to live in the middle of Iowa, in a collapsed town, in the middle of the winter? It might be palatable in the context of a tight community, where you were paid a living wage and could raise a family. But metaphorically and literally, that ship has sailed for the Somali and Mexican workers working in the business. The Somalis, of course, can’t leave to go back to Somalia with any hope of return. They are trapped on the U.S.S. Iowa. But the Mexicans, who used to at least enjoy the benefits of a more open border, are also trapped. And it’s safe to say that holding a minimum wage job in a slaughterhouse is not something that’s aspirational for future generations.
The problem exists in spades for other professions as well. Nations like the Philippines have long exported their people for low-end service workers. I’ve stood at the gate in the Manila airport where they out-process their people for shipping to other countries — most notably the UAE. And I can remember happier days yucking it up with all the pretty little Filipinas in the malls in Dubai ten years ago. But as the gap between rich and poor grow, one can see that there are larger emergent dynamics in how the system works. Once you drift away from some version of a culture that believes in the entitlement of a robust middle-class as part of any job category, slavery comes back with a vengeance. And there is obviously some line that gets crossed, wage-level-wise, that accelerates that prospect.
There are no easy answers to any of this — especially at the point where we are at right now. Robust workers’ movements require time, and are facilitated by education, both under increasing attack as the gap between rich and poor grow. A moribund, or even hostile body politic obviously doesn’t help, as well as persistent myths of “pulling one up by one’s bootstraps.”
I think it can help to recognize that these dynamics are emergent, however. They are not necessarily drummed up by evil corporate types, though it is also hard to believe that a discussion of the situation hasn’t come up in board rooms in places like Tyson Foods. They are emergent from wage differentials and the socioeconomic system. These systems also generate the demand for the kind of leadership, which inherently has to be low-empathy and insulated, or even empathy-disordered, that will keep the system going. It’s no surprise in the middle of the COVID outbreak that getting those workers back inside the plant became such a high priority — even if COVID itself did not turn out to be the mortal threat it has been portrayed as.
And while automation in the food industry undoubtedly will help — my good friend that is a director of research inside a large food automation firm has told me that the demand for automated solutions has never been higher — in the end, we have constructed a society where the denial of human potential is real, and growing. I liken it to collapsing soil around a large hole. More and more of us are standing on the edge of that hole, with our children in front of us. Declining generational wages are a sign that more and more of our children can, and will slip into that hole.
I strongly recommend reading/listening to Urbina’s book. But don’t stop there. Take the contents of this post and look around to where the same dynamic is happening. And let people know. The crisis we are having is fundamentally one of memetics – the old models of how we understand things simply are failing right and left. And change in the physical world will only happen once we change first our minds.
I’ve been gone for the last couple of weeks, with seven days on the river, lost in the picture above. It’s been a serious psychic relief to be away from the chronic hysteria associated with COVID-19, as well as the economic uncertainty that even I, a tenured full professor, ostensibly locked in my Ivory Tower, feels. For those that know what I do — run a large design clinic where I create situations for students to interact with industry — that last sentence is a little tongue-in-cheek. Let’s just say I recognize my privilege.
One of the things that has created the furious in-group/out-group conflicts in the United States is the “Believe Science/Don’t Believe Science” meme that literally washes around every COVID-19 discussion. The discussion exists for lots of reasons, of course, but from where I sit, the primary meta-reason is that people are really arguing not so much the issue of “science”, but “scientific authority” . Science (knowing) focuses primarily on methodological lower v-Meme (Legalistic and below) knowledge structures, but occasionally (and rarely) reaches all the way up to the very top of Guiding Principles. Most people don’t practice scientific thinking in virtually all of what they do. In fact, most people are v-Meme limited in even comprehending the methodologies of algorithms, heuristics, combined heuristics and system practice that make it up. They’re looking for a soundbite in time (COVID will kill you!) rather than the far more complex picture of a temporally and spatially dependent phenomena that is highlighting basically every nook and cranny of our social milieu. Precisely because it is SO infectious, as I’ve written about before, it is ringing the societal bell on many things.
Let me give a brief example with the various knowledge structures using something very common in controls engineering, but pretty much unknown outside of it, to make my point. As a young engineering student, I took a class on control theory — what folks do that make your refrigerator stay at a setpoint, or allows a plane to fly on a given flight path from airport to airport. The mathematics are called Laplace Transforms, and their purpose is to take a hard, calculus-heavy problem of shifting accelerations and velocities and turn them into a simpler (but still, not-so-simple) problem in algebra.
Laplace transforms confound students regularly, and I was no exception. They can be algorithmically challenging to execute — we used to have tables of the things whereby we’d pull apart the governing equations of that airplane and “turn the crank” to come up with the algebraic system that we could later analyze. I used to sit in the back of the class, eyes rolling into the back of my head, wondering “who the hell thought up this shit, and how did they do it?” The answer to “who”, of course, is Pierre-Simon Laplace, a French polymath from the 19th century and true scientific revolutionary. He was, not surprisingly, multidisciplinarily accomplished and also politically powerful — a man for all seasons.
That’s who thought up all this shit. Trust me, when I was sitting there in that classroom, I didn’t have Wikipedia. But I knew that I was learning something that was beyond my ability at the time to create.
If there is some set of levels of enlightenment by which one might capture an understanding of Laplace Transforms, it might break up as follows:
Laplace himself, possessing the intellect and foresight to invent the theory. (Guiding Principles Thinking)
A controls engineer, judiciously applying the transforms in clever ways, integrating past experience from other control systems to design a solution for a flight control system. (Laplace himself used this stuff on astronomical motions, and may or may not have realized how it would be further developed for specific applications.) (Heuristic thinking at a minimum, Global Systemic Integration at a maximum.)
A student in engineering, learning about how to apply the integral functions that make up the basics — in short “do a Laplace Transform” to solve a simplified problem in controls that an instructor could grade. (Legalistic/Algorithmic thinking, with the intent of skills mastery.)
Some modestly engineering-exposed person who might have heard about Laplace Transforms and knows in general how they are used. (Authority-driven labeling.)
Someone that has never heard of Laplace Transforms, and probably couldn’t care less.
I’ve labeled the five points to show how they map into our knowledge structure hierarchy. Note — all of these stages imply knowledge of Laplace Transforms. But ask any controls engineer to discriminate between the different levels, and they’ll immediately recognize the difference. If you can get them to stop laughing.
Here’s the rub — everything in 3,4, and 5 are essentially belief-based thinking. Even mastering the skills of executing a Laplace Transform is a “one meta-step” transformation. You’re not likely putting anything of your own data/experience-driven personal knowing into it — you’re turning the crank like your old, crotchety engineering professor has ordered you to do. It’s not until you’re up into the range of (2) that you get to pick and choose — and then Laplace Transforms are a tool you select out of your toolbox that enables you to reach a goal.
If there’s a short-form insight from my Laplace Transform example, it’s this. In most of society, with most of the thinking that’s done, if someone says they support Laplace Transforms, they’re likely to be doing that at points 4 and 5 — not even 3. And that’s after a class! The average v-Meme that a typical college student operates on (and universities actively promote, regardless of their ‘critical thinking’ protestations) is to be programmed with beliefs, and this level of personal development uniformly shows up not just in how they learn about Laplace Transforms, but how they learn about everything. And it’s low empathy belief-based thinking, which basically means it’s accept/reject, or most likely forgotten.
“But won’t they learn the wrong things, or learn things incorrectly unless we beat it into their heads?” That is the voice of a low v-Meme system talking. People can’t be trusted to synthesize information correctly, and they must be told. By experts. Which once again puts us back in the cage match over whether we’re really teaching science, or endorsing authority.
And that turns science from a process into just one more aspect of culture. Culture itself is a group of externally defined beliefs that are very difficult to either change or challenge. Think about the humorous debate about whether you should wear pants on a Zoom call. Your own experience of never showing your own underwear may still be superseded by ingrained thought patterns saying put on your pants in a professional setting!
And therein lies the problem. If you’re not up at Level 2 (or 1, of course!) , science, as understood by MOST PEOPLE, just becomes another set of beliefs that direct authority. It’s NOT the agency-laden process that science really is, which involves integrating everything from guiding principles down through assimilation of data to get an answer. You’re just supposed to believe Dr. Fauci.
What’s worse is you don’t even get to have a conversation with Dr. Fauci, and on a human level, digest what he thinks may be certainly known, or uncertain. You instead have to read some article on CNN, written by a reporter you don’t know, who has inherently processed any information through their level of v-Meme complexity, keyed on evolution and sophistication.
And the worst case scenario is that you may get your information all from the headline on CNN — which is almost certainly written to incite terror in your heart and confirm your own set of biases in order to click through. In short, you’re not much different from the typical Aztec citizen being told that the sun won’t rise if they don’t cut out a couple of hearts today. Or that the Cat God Bastet is most certainly pissed, and it would be good to walk softly around her altar today. Brains aren’t genetically pre-loaded with any of this knowledge, and you’re at the end of a series of low-pass v-Meme filters.
What this really means is that the general public that is being told to “believe in science” is really being asked just to believe in authority – a different authority for sure, but believe nonetheless. And that, unfortunately, puts you on the same memetic playing field as “believe in Donald Trump.” Which unfortunately, has taken us nowhere good. Because beliefs inherently are accept/reject phenomenon.
That’s why creating experiences matters so much for education. Experiences (especially shared ones) allow students to actually internalize and create their own autobiographical narratives. Without that generation of personal perspective, things just get lost in the soup anyway. Especially when the story is complicated.
Here’s the other thing — people will ground to the outside world with their own senses naturally, and create those narratives whether the authorities in charge like it or not. A great example is the British immunologist, Neil Ferguson, who predicted dramatic levels of death without a total lockdown. He was wrong. But if you read the media, the biggest complaint about Ferguson was not only was he wrong about policy predictions and death counts– he snuck out to visit his lover in spite of advice saying that this was wrong. (Yes, I intentionally linked to The Sun, because for these kinds of things, it’s too much fun!) What’s important is that you don’t see the reporter ripping his science apart, which is really the issue at hand. It’s attacking his authority — through the charge of hypocrisy.
Everyone has been told that science itself is not so much an end state, but a process. But with regards to COVID-19, that would involve immunologist after epidemiologist standing up and admitting their models were deeply flawed. That hasn’t happened, of course, because most empirical scientists are organized in Legalistic/Absolutistic hierarchies, and buried deep in their chase for status in their own right. And public admonitions of failure are not the path to a guest commentator spot on CNN. I’ve already written about the case of Michael Levitt, the Nobel Prizewinning cell biologist, who took on the COVID-19 doomsayers. His situation will continue to be in flux — he’s swimming upstream against the bunch that are resistant to a deeper, nuanced view of the pandemic. But as for me, I’ll always bet on the person that has a flexible, multi-knowledge structure approach that ALSO has a lot of post-docs. I wish I had a couple myself!
Inevitably, when these types of controversies break out, the media reports (probably correctly!) on what’s termed the “pro-science/anti-science” conflict. But what they’re really reporting on is the “pro-prevailing belief/anti-prevailing belief” aspect of the debate, which has, as I’ve also written earlier, been binned down into (at least in the U.S.) the two political parties. Don’t expect much metacognitive reflection there. It’s turned into a cage match that has very little to do with people understanding science. Neither side is really advocating for an educated population, capable of acting with agency and responsibility. Flawed as that may be, Sweden had that in spades, and our national paper, the extremely status-driven New York Times (like it or not) paper of record regularly runs pieces against the high agency approach taken by Anders Tegnall and the Swedish epidemiological community. Lots of this is buried in v-Meme conflict I write about here — but hopefully the point isn’t lost.
I could go on — but it would lift my spirits to know that people were self-aware of what they were actually debating. Real science demands an integration of scaffolded knowledge, earned in the lab, along with development of personal agency of the consumer. Anything else is really just an authority plea, and that is totally dependent on acculturation. Because if you argue that your scientific authority has been right all along through COVID, the natural grounding that most people have experienced in the pandemic would run into numerous competing interests. If you were a small business owner looking to lose your business that you worked for, that might have a pretty powerful presumptive effect toward not listening to squabbling scientists that have pretty much missed the boat (and continue to miss the boat) on what’s going on. Likewise, if you had a family member on a ventilator, or passed away during the pandemic, you’d be on Twitter sharing your truth.
I am NOT condemning, nor endorsing either side. I’m describing what’s happening. And that does not take us to the coherent action that we need during the pandemic. Instead, what it really does is take us back to lowest levels of default. Just like the bubonic plague days of the 14th century, where the final solution was just dragging the plague victims outside the city walls to die or fend for themselves.
I am invested deeply, though, as an educator in the STEM fields, in whatever “we gotta get more people to believe in science” directives come out of this. What this country certainly doesn’t need is more allegiance to blind authority. But that’s going to require more agency and empathy development across the population. And when it comes to that, it’s just been crickets.
The knowledge structures don’t lie. But to say that I’m a bit discouraged is putting it lightly. If you want real science, you don’t just get to emphasize “facts”. You’re also going to have to focus on agency and empathy. You can’t get to the higher levels of knowledge structures and responsible action without it. We must decide to prepare people’s minds. And then the whole issue of whether people “believe” or “not believe” in science will come a non-starter.
Note: to newcomers to this blog — this is largely not a political blog. I am a complex systems scientist, and while I do write about politics from time to time, I have strong feelings against politicizing the pandemic. We are going to go through this together, whether we want to or not.
As we move into the beginning of July, numbers of detected COVID cases across areas previously less impacted by COVID-19 are accelerating rapidly. At the same time, official deaths from COVID continue to decline, though what may happen in the near term is far from clear.
There are many who believe that the pandemic is “just getting started.” I think this is false on a number of levels, and I’ve written about exactly why this is false in a number of posts. The pandemic did NOT start because powers-that-be became aware of it. The pandemic is actually following a natural, relatively uncontrolled trajectory in all but a few countries. There are some factors that seem to make a difference, and now there are enough participatory countries with demonstrable results — notably some level of social distancing and mask wearing slows the number of symptomatic cases considerably.
This is HIGHLY desirable, as what is happening “under the radar” is asymptomatic/extremely low symptomatic cases, that provide larger population immunity, and in the long term, absent a vaccine, be necessary to end the pandemic. It is not highly desirable in the least!! to take this as some reason to have “chicken-pox parties” or other such icks.
I’ve been reading about COVID-19 now for the past five months, and there are a few things, after reading about 100 medical papers, and tons of other media, that I think are true.
The disease was initially called as being highly infectious, and easy to contract –and it is. We know this because we’ve inadvertently run dozens of experiments in places like cruise ships, aircraft carriers, prisons and meatpacking facilities. Once you crowd people together in moist environments, and they have to yell, everyone gets it quickly. That means believing it hasn’t already shown up in your neck of the woods is wrong.
The asymptomatic version of the disease spreads relatively silently, and has little mortality threat if you are not immunocompromised. We know this because when rigorous population diagnosis is undertaken, as in Lombardy, Italy, or even New York City, population antibody rates range anywhere from 15%-70%.
How you contract the disease is dose-dependent. What that means is if someone coughs in your face that has it, that is far worse than potentially contracting it from contact with surfaces or other low dose modalities.
The disease seems to not spread outside easily. If it did, the recent Black Lives Matter (BLM) protests, as well as people on the various beaches in the southern US, would be leading to wave after wave of deaths. That has simply not happened, and while certain outdoor exposure, such as BLM, seems to be accompanied by some level of mask wearing, a cursory glance at photos indicate a large number of people NOT wearing masks.
All these points of information actually help individuals how to understand how NOT to get the disease. And it’s actually pretty simple. If you’re immunosuppressed, then you have to stay inside away from people. If you’re not immunosuppressed, then it’s also simple. Stay out of bars. Don’t sing with other people. Don’t go to a mega-church. You will likely pick up COVID-19 in its asymptomatic form once it comes to visit your community. But it is highly unlikely you will contract the large-symptomatic/bad dose version of the disease that can kill you.
It’s worth it to take a minute to review exactly why singing and bars are so bad. Much has been made of singing — people in a choir aspirate droplets, as well as infectious aerosols, and the rhythmic breathing of people singing together is an important vector for people sucking in a large dose of coronavirus into their lungs at the same time.
Bars are a little different. Here, of course, we also have large numbers of people, grouped closely together, talking and drinking (think lots of fluids.) There is an interesting acoustic phenomenon that happens in bars, and everyone that has ever been in a bar has experienced it. It’s part of what’s called the Cocktail Party Effect, and it’s one of the fun phenomena that anyone who’s ever taken an acoustics class is familiar with. You can reference the Wikipedia link for more of the auditory details, but the short version that happens in a bar is this — people start off speaking softly. Over time, as the volume increases, people also increase their personal volume. This feedback loop continues until some auditory pain threshold is hit, and everyone stops talking all at once, and the room is silent. This cycle repeats itself throughout the course of the evening.
Considering that the “uncomfortable” threshold for human hearing is around 110 Db, and industrial noise (like running your power router or circular saw) is always around 100 Db, that means by the time you get to the sudden silent drop-off, people are really hollering. Especially if they’ve had a couple of beers. It’s not hard to see how this would turn anyone who had COVID-19 symptoms into a super-spreader. You’re literally screaming in the face of your friends.
There’s a cautionary tale for those of us running classrooms in the fall (as I will be doing.) Some kind of acoustic buffering might well take the edge off any student infected with COVID-19.
There are other things that are becoming more clear as time goes on with COVID-19. First off, of course, is that the U.S. has done a pretty awful job of managing the virus. At the same time, it’s still poorly accepted that the U.S. is a truly continental ecosystem. All parts are connected to other parts — but we have demarcated parts! The US is not monolithic, like a nation-state in Europe might be. It is difficult, if not functionally impossible, to stop the spread of the virus. It will effectively go everywhere. While I may express admiration for Jacinda Ardern and New Zealand, we are not New Zealand – a functional island. We cannot truly protect our population from exposure, though I would argue we CAN effectively protect our population from high exposure – or at least do a much better job.
There is a great piece with maps in the New York Times that attempts to show how the virus spread throughout the U.S. The title is frustrating, because the virus isn’t looking to win or lose. The virus is simply spreading, and this kind of headline just reinforces limbic paralysis in our population. As of this posting, deaths from the virus is headed back down, albeit more slowly than in European countries, and it’s worth pulling this apart as we move forward.
First off, the virus arrived via air travel, and spread through the U.S. through the air travel network. It did this BEFORE the vast majority of Americans, or decision makers were aware, or took it seriously. The air travel network, prior to the start of memetic awarenessof the pandemic, was the original super-spreader system. This is very clear when you look at the New York Times maps.
Once the virus, carried by air through our own high-tech super-spreader system, touched down, its efficacy in spread was directly related to the level of connection of a city’s mass transit system — in particular, its subways. There’s no surprise that NYC got hit as hard as it did. It has the most class/race/age-heterogeneous mass transit system in the U.S. The lines go everywhere, and everyone rides the subway.
But mass transit basically sucks in most of the rest of the U.S. And the other fascinating thing about the results of the disease, with the incumbent “second wave” hysteria, is that the disease highlighted the social divides across America. Many people will read this and grasp onto this — “a-ha! poor people get it worse because they are more exposed!” That is far from clear at this point. If the working poor got COVID worse, it would show up with a spike of service worker deaths. While there has been a ton of reporting on the potential risk to service workers (and service workers deserve protection!) the reality is I’ve yet to see a piece that shows increased mortality to service workers because of their jobs. Even people working in the meat packing plants, where there have been well-documented outbreaks, have not died at increased rates — feel free to provide a cite that proves me wrong in the comments.
Now things get tricky. What COVID-19 actually shows is the lack of linkage between classes in the U.S. because of a lack of direct sociability. The middle/upper/airplane-traveling classes simply don’t mix sociably, or more prosaically, drink together. People in the South just don’t mix with people from the West. The coasts may swap people, but the virus has to take the long road from the coasts to the center, or the south of the country. This is actually an amazing indicator of our empathy problem. Or rather, our lack-of-empathy problem.
In my home state of Washington, this has really held out in striking relief. The latest hotspot in Washington is the Yakima Valley. Heavily Hispanic, and one of the poorest parts of the state, Yakima is not on the middle-class, airplane super-spreader route. The Valley is the heartland of much of the state’s fruit orchards, whose fruit is primarily picked by migrant labor. As that labor has returned to the Valley, cases have spiked — though not deaths. Passed over by white folks in aircraft, it would not surprise me at all if the genetic vector for COVID in the Yakima Valley originates from Mexico. And while it is possible that it came up from California, from the Central Valley, I would also not be surprised if air travel from Mexico also helped bring up potential cases, as we gave the pandemic to Mexico. Now it is bouncing back, on a lower class strata, to the U.S. again.
What this means is that in the short term, causally reasoning through class strata and obvious social divides can tell us much about where or whether we can expect a “green fields” COVID pandemic to pop up, or whether we should expect an outbreak to be relatively easily contained because the virus has already burned through. Unfortunately, in the United States, we cannot have this conversation, because, at the same time, we are struggling with simplistic models of racial/ethnic separation. We live in a political environment where the obvious two sides — Left and Right — of the political debate are convinced they are in a cage match for pure survival. It breaks my heart.
But it does more than break my heart. Dichotomous thinking profoundly impedes the ability of a nation like ours, with many clearly delineated, but not accepted lines of demarcation to use knowledge for optimal solutions. We cannot respond in anything like an optimal, agile manner if our hands are wrapped around our perceived political adversaries’ throats.
Where this clearly matters is in two manners. First, as I’ve made the case above, social class delineation profoundly affects our ability to understand the wave of COVID-19 as it passes through the social network of the U.S. — because this disease is highly social.
But secondly, it impairs our ability to create advice that would protect people’s health through building their personal immunity. The idea that one could take certain prophylactic measures and improve your risk portfolio with the disease is anathema. Instead, what we see is a shrugging of any responsibility turned into a vector of blame onto the other side of the political spectrum. Instead of taking a Vitamin D pill and getting some sunshine, or even understanding the effect of melanin on Vitamin D uptake, obvious paths are turned into racialized or politicized commentary.
And it’s on both sides, folks. We must constructively problem-solve through opening small businesses or we are going to be left without a small-business strata in our society. There is no small business that can stay closed for a year and not go bankrupt. If we are not mindful and proactive, small business will not survive the head-on assault of both COVID and Amazon.
At the same time, mass wearing of masks and maintaining social distancing is not a Lefty plot to infect you with another killer virus. Ask yourself how long you actually wear a mask in an interaction. When I go to Walmart or Safeway, I never spend more than 20 minutes in the store. 20 minutes wearing a mask isn’t going to kill me.
There are also critical, under-the-radar holes in our safety net that will prolong this thing. One is the safety net we provide for nurses. I learned just last night from a friend that nurses’ sick leave and vacation time are conjoined. If you don’t take off time when sick, you get that as a vacation day. And this time is also constrained as too low — 4 weeks for a whole year. What kind of incentive does this create to show up when mildly sick for work? I’m at a loss that this kind of thing can, or will be fixed by the end of this version of the pandemic. But can we at least learn a little bit?
And it goes on and on. I have yet to see any convincing paper that COVID spread is really touch-based. It’s not that you can’t get it from surface contact. But that’s just not the way this thing rolls. And the notion that you’re supposed to wipe and disinfect every surface between every use simply is not possible — nor necessary. I have a friend who runs a small personalized bakery in Portland. You go to his cafe’, create a personalized dessert, and he bakes it for you right on the spot. Between every cake (now limited because of seating because of social distancing restrictions) employees must change gloves. The cake goes into an oven that kills everything. The short version — there’s no way to make money when you add a pair of latex gloves into every order.
What is needed is an elevated understanding of two things. First off is the immunity stack — that people have varying susceptibilities to getting this thing. For the record, this is a colloquial version of the immunity stack:
Antibodies created from interaction with the disease.
T-Cells that combat the disease.
Super-immune response (“goop-ers”) – people that produce enough mucus/bodily fluids that the virus can’t get started.
Shared immunity from other coronaviruses — my veterinarian friends laugh at the idea they’ll get COVID. “How much calf diarrhea do you need to be exposed to get immunity from every coronavirus on the planet?”
Any seasonality of the virus is at LEAST due to the fact that our immune systems are stronger in the summer than in the winter, due to enhanced Vitamin D uptake. And I’ve advocated eating more saturated fat to help with mucus production.
Second is dispelling the popular myth that we can avoid exposure, and that we are on the front end of the pandemic. There is only one way to truly avoid exposure until the pandemic is past. You have to lock yourself in your room and not come out. It is INCREDIBLY infectious.
And we are FAR from being on the front end of this thing. Even if you don’t accept my argument that super-spreaders and situations are the way that people primarily get COVID, through high dosing, we have passed the only peak we know — the death toll (which is plenty suspect as well) — in most of the country for a while now. There may be some states, like Texas and Florida, that are truly behind the curve, though after reading this piece about COVID in the deep Amazon, I even doubt that. But if there’s been an outbreak in your state, it has likely gone everywhere. Science is still being done to evaluate it, but as this study from Penn State shows, because of a complex of factors, it’s been out there. And if you’re reading this, you’re not dead yet. The belief that we can avoid this thing entirely is literally destroying us a nation. It would be one thing if it were true. But it’s not.
There are still important unknowns. We know that you can achieve some degree of immunity. We don’t know how long that will last, and won’t know for a while. We can confront our nation’s fundamental problem with metabolic syndrome, and the immunosuppression that is concomitant impairs our individual ability to deal with the virus. This paper is a bit old — things are far worse now — but it’s pretty clear that obesity is a problem we all share, and the problem is not overeating — it is metabolic destabilization through poor diet.
We are, sooner or later, going to have to get back to living. I recommend thinking through the patterns I’ve discussed here, and finding ways forward. We all share the common need for our country to survive.
One of the more fun things to think about (well, at least for me) is what humanity would actually have to do to successfully leave the Earth behind, without, well, destroying the Earth. It’s a long and complex thought process, and I’ve written about the conundrum of space aliens eating us here. Short version, they wouldn’t, but we’d likely not be able to understand them when they told us how not to be such planetary losers.
Recently, I’ve virtually hooked up with Ugo Bardi, a physical chemist and revisor of the Club of Rome’s book The Limits to Growth. Ugo runs a couple of Facebook Groups (The Seneca Effect, The Proud Holobionts) where he attempts to probe into similar issues. Short version — we’re probably a match made in heaven/hell, depending on your perspective. Wine drinking is definitely in our future. Probably followed by shaking our collective fists at the gods.
Ugo wrote a recent brief post on Facebook, The Proud Holobionts, about information density on the planet, since the idea behind a Holobiont is that we’re all this connected, synergistic organism, and as such, we need to think about exactly HOW we’re all connected. One can see the empathy tie-over. Here’s Ugo’s post:
“With the global mean efficiency of photosynthesis of about ε = 0.5%, global mean flux of solar energy absorbed by the planetary surface of about F = 170 W m^−2, total global flux I of information processed by living cells on the Earth’s surface of area S = 5×10^14 m^2 is estimated as I = εFS/(kT) = 10^35 bit s^−1
There is virtually a precipice between the information processing capacities of the biosphere and our civilization. It pertains total fluxes of information as well as the energy efficiency of information processing. If all people on Earth had a modern PC that runs about 10^11 operations per second, total flux of information processing by the humanity would not exceed 10^21 operations per second, which is 14 orders of magnitude less than in the biosphere.”
The short takeaway is that we are a bunch of orders of magnitude away from anything resembling long-term sustainable spaceflight, a la Rendezvous with Rama, because we’re nowhere near the information density of the biosphere. Or even a small one. And we’d forget something/leave something out that really mattered for sure. It’s why this extinction thing, even on our home planet is such a big deal. Every species sent down the long road to extinction is one less piece of information-generating equipment on our small blue spaceship.
And we’re not going to make it big-time in a simplified tin can. At least for the years we’ll need to get any place truly different. It’s worth referring to small thought exercises like this as we go forward. As I’ve said in my other pieces, when it comes to long-term space presence, everyone’s going to have to come along.
And information density only matters if it’s structured AND coherent. Yep, it all goes back to empathy.
Everything important to talk about, like Black Lives Matters, is so difficult to talk about nowadays. So let’s take a break. Twitter sometimes serves up some interesting stuff. And one of the people I follow — Erik Hoel, a literal bright young mind in the world of evolution of consciousness — served up the graph below on Moore’s Law from this book.
Moore’s law says that the number of transistors on a given chip will double almost every two years — exponential growth. Well, for a while. Over time, though, you’ll get more of a logistic curve, which is what you’ll see when you start saturating an environment (or technology). It’s the way exponential growth usually ends. And it is a phenomena primarily of systems modeled initially with linear equations.
It should come, therefore, as no surprise (though I can’t believe I hadn’t framed it that way!) that any given tech. ends with that flattening off that is inherent in such phenomena. Erik’s observation was that this was indeed a logistic curve. And I think he’s right. I also KNOW I’m not the first person that’s observed this, but this is a quickie post, and I’m not going to go back and resolve this.
That actually maps into the social structure/knowledge part of the multiverse as follows. A field is founded, from whatever value set/meme generates it. Scientific hierarchies — fundamentally, social structures that produce knowledge in meta-linear fashion – are set up to study it. Progress is rapid at first, but specialization, followed by microspecialization, occurs, as the hierarchies churn out increasing sophistication of knowledge, with more fine-scaling, but with little actual positive affect. The hierarchy is actually necessary for that sophistication — there’s only so much one can do — but as the field solidifies/rigidifies, status in that field is set up through well-known status triggers (if we could only solve Fermat’s Theorem!) and more and more people pursue what in the end will turn into a refinement rabbit-hole.
This goes along until some alternate horizontal break-through occurs, almost always from outside the social system that created the original tech. refinement. What that might look like is often a nonlinear shift, and created by a handful of individuals. The trajectory of displacement needn’t always be a jump in performance, or fundamentally disruptive — it can also exist of a budding/parallel technology. Then the process of evolution leads once again to the establishment of hierarchical social structures, with the same branching refinement and sophistication all over again. Roger Martin won’t ever admit to the social structure part, but this is basically on a macro-scale what he discusses how to avoid in his book The Design of Business. Though a bit simplistic, I love this graph of his. Note the collapse of complexity over time — as well as the ability for a diverse, heuristically oriented team to make a difference. Follow the damn rules, please!
So much of this is queued on social structure, and what is interesting, is that this type of knowledge evolution used to be captured well inside university systems — mostly because we just didn’t know as much, from a refinement point of view. Some bright, likely egocentric individual could chase a particular thought, looking for their muse, and create a disruptive breakthrough. But as knowledge evolves, and breakthroughs are more dependent on cross-disciplinary stimulation, these types of situations became harder and harder to replicate. Especially in the walled up silos of a university.
So universities, still as institutions seeking overall status, encourage more chasing of sophistication. And that sophistication requires more work, with less time for original ideas. And more worker bees, with less and less money per worker bee, along with more and more direction from money from the outside, often from minimally creative bureaucracies, like the National Science Foundation, whose natural memetic tendencies favor incremental refinement. And so on. This is supposed to be a Quickie Post, after all!
What is so fascinating is that the natural behavior of such a social structure shows up so clearly in that aggregate graph, that literally reflects the work of millions of people. (And yes — I do know that not all microelectronic research happened in universities — but the same principles hold.)
What’s the short take? Nothing we haven’t discussed on this blog already. If we can’t get to truly novel takes, statistically, from the depths of one genius’ mind, let’s mix things up a bit, and form teams of interested, curious people, with enough differentiation through standard measures of diversity, as well as understanding the influence of cognitive diversity through structural memetics. Let’s see if we can embody in our institutions principles that match the social physics, instead of the endless status-chasing of the US News and World Report. And let’s make sure people have enough free time so they can actually breathe.
There’s nothing wrong with chasing the next doubling of transistor density. But make no mistake — all good things must come to an end. It’s in the social/information physics.
There’s a post primed in my head about the whole “disbanding the police” controversy going on right now in Minneapolis, that’s a perfect example of Value Set/Meme filtering, and what you do with organizations that have effectively turned into what I call Vampire Colonies, but my brain just can’t take the B.S. Anyone thinks that a decentralization effort means total abolition is not going to be receptive to anything resembling what will actually happen, nor the trajectories possible. And yeah, it just makes my brain hurt.
So let’s talk about something a little lighter-hearted — in the afternoon hours, after writing and tending to the usual Industrial Design Clinic business, I’ve been methodically sorting through a true, Agile MVKB — a Minimum Viable Kitchen Box. I’ve even drawn up a downloadable Check-off List (in pdf form) that you can put in yours to make sure you’ve got everything you need. For those unfamiliar with car camping, though all these objects seem obvious, there seems to be hidden magic in getting them all together, in one place!
I also have a large aluminum dry box that I use for longer rafting trips, that has all sorts of additional things in it, because it’s large, and things have become accreted over time. There’s also stuff to fix the raft, which one doesn’t necessarily need for a long weekend.
The box itself is about 24″x18″x16″ and is a cheap tote. It fits nicely in the back of my Subaru Outback, which is the point. I want to upgrade this box a bit, but that will have to wait until the next trip to Lewiston, ID, which is about 35 miles away, and the North 4D — this is a true Hillbilly Heaven fantasy store, for my international readers. We don’t eat a lot of pasta, so for my kitchen box, I don’t have a big pot to boil spaghetti. I know that this must seem sacrilegious to some folks – not to eat spaghetti on a camping trip, but that’s the deal with a keto-ish diet. I do have a big frying pan. Bacon and eggs are part of the morning in my camp!
Here are some pictures.
A kitchen box should be lift-able by the smallest functional person in the group (I’m not talking about your 6 year old nephew.) It’s also nice if you can sit on it (the one in the picture, eh, not so much.) I’ve separated out the list with replenishable items, and permanent fixtures. The other advantage of the list is that, for me, I can put all the items back IN the big metal dry box, for a longer raft trip, and then quickly repack the Long Weekend Kitchen box. These boxes are virtually indestructible. They’re also very expensive.
I’ve attempted to build some redundancy into core systems. I have a good, old-fashioned Coleman two-burner stove. Yes, I used to have a white gas stove, but over time, I’ve become convinced, for as much as I camp (not as much as I used to) the gas isn’t worth the hassle. One or two propane canisters is all you need for the most cooking-intensive long-weekend camping trip.
But I always take along my backpacking stove and a butane container. For those curious, I recommend (and have) this MSR product.
One thing we are very particular about is dishwashing and keeping E coli out of our systems. There’s nothing worse than folks getting sick from food-borne infection (no uncooked chicken on my camping trips!) so I use a three dishpan system of wash/rinse/bleach sterilize to keep everyone healthy. I also recommend getting a hanging dish drainer. These are great things that also work fantastically for keeping bad bacteria at bay.
When I go camping with young children, I ALWAYS make sure to have a hand wash station, made from those big white paint buckets. But that’s a story for another time. This one’s a fancy one from Northwest River Supplies, who have been patrons of mine since forever — but you can make your own out of two buckets, some hose, a little tubing and an outboard gas pump for about $25. That will be another post. With adults, I assume that they get the hand washing thing and carry some hand sanitizer. You have dish soap to wash hands with at camp, plus I’ve also included bar soap and hand sanitizer on the list.
There you have it! I’d guess the total cost of everything in the box, with the box included, (sans the backpacking stove, which really isn’t that expensive) with a two-burner propane stove, is around $200. Probably less, and all available at Walmart. Amortized over a couple of trips, it’s gonna be about the same as four trips to the pub. If that sounds like a lot of money, and you’re that broke, you’re probably already camping — under a bridge!
Leave any additions you like in the comments! I’m sure I probably missed something. But nothing that a little whiskey couldn’t cure!
One thing about being a bona-fide Space Alien is that, an any given time, I can hop on the Close-to-Light spaceship and see what’s going to happen in the future. If I could fix my FTL drive, I’d just get off this rock. But this is actually less fun than it may seem, because what it also means is I can’t get those years back (time dilation only works in the forward direction, which is why the original Planet of the Apes movie was such a bummer!) and it ages my brain.
Thus it is with the coronavirus, which is declining pretty dramatically across Europe, and in most of the early infected places in the U.S., following a similar pattern. Yep — functionally off-the-beaten track places in the U.S. will continue to see rises, but you’ve heard it here first. I’m giving solid odds that there will be no vaunted Second Wave, and while COVID-19 will function at some endemic level in our population, it will fade as a political driver. If I’m wrong, well, I’ll be shown to be wrong pretty soon — the mass demonstrations across the world for Black Lives Matter certainly had potential for super-spreader status, considering that combo of crowds and jail cells.
What we’re also going to start to see in the next couple of weeks is a crescendo in conflict between scientists, who enlightened folks are telling us we should believe. “Believe science!” is the battle cry, and as a scientist myself, I am supportive. Believing science, even at its most rudimentary, is more appealing than believing astrology, and for those that follow this blog for any length of time know, I am not into magical thinking of any stripe, other than understanding it as narrative scaffolding for how we live our lives. For that, if you need to believe “don’t mess up the environment because the Mountain God will whoop on you!” I’m down. But for using Magical Thinking problem-solving complex scenarios in the near-term, eh, not so much.
The problem is that I’ve also spent an entire career in the Science Sausage Factory, and after that, well, like any sausage factory, you’d be a little less sanguine about consuming the prospect. Lots of stuff goes into “science” from all the different knowledge structures, and I’ve written about this here, among other places. Short version, empirical measurement-based science does great when you can draw a hard boundary around the problem, and set up controlled experiments. That fits perfectly within the context of the Legalistic/Authority-Driven Relatively Rigid Hierarchy that such science functions under. When you match methods (complicated algorithmic processes for data collection and transformation) with the social structure (a closed hierarchy, which scientists are always beating on you to recognize as the only source of knowing!) you’re creating knowledge in, you can be sure the results are as coherent as they can be. And if you’re collecting data from the real world, there is a natural validity/grounding that also occurs. Short version — the data is reliably collected, the problem is closed, the scientists are trained, and IMPORTANTLY — the phenomena has already happened.
And here is the thing. For those circumstances, none of the higher thought processes of empathy are really required. You aren’t required to link outside of discipline, no agency for the researcher collecting the data on a small scale is required, no judgment calls, no synthesis with other fields, or lay audiences, and heaven forbid any reflection. That’s not going to make it through peer review. We even have a name for this in the Sausage-Making business — “turning the crank.” Which is exactly what you do when you make real sausages.
I think it might be useful to lay out that last paragraph as a quick list with the different Knowledge Structure Levels here so you can see how useful some of that work is. Kinda “it’s my blog, and I’ll cry if I want to!” NOTE — this is for closed systems!!!
No link outside of discipline (driven by Authority value set)
Collect that data properly and follow the rules! (driven by the Legalistic/Absolutistic value set)
No agency for the researcher (no Performance/Goal-Based thinking values)
No synthesis with lay folks or other disciplines (no Communitarian value set!)
No reflection (Yellow- Systemic thinking value set!)
Short version — you’re trying to know something that you can know, within the context of the structural memetic system you’ve set up. Perfect!
But here’s the rub. It gives you poor predictive ability if the exact same closed system, albeit with different parameters, isn’t what you’re trying to figure out the next time. Which is EXACTLY what COVID-19 is. And to make matters worse, if you’re an epidemiologist, you’re stuck in an open system. And THAT open system is continually changing. Big time. To the point where even history (like the Spanish Flu) is a very poor guide to how these things work. Last time I checked, there were no Boeing 777s criss-crossing the globe in 1918. Short version — you’re stuck in a closed social system (they don’t call it the Ivory Tower for nothing!) that’s poorly equipped to give you projective ability for larger, open system problems.
But scientists, organized in those Legalistic (at best)/Authority-driven (typical) hierarchies DO manage to converge to the truth. But it takes a while. It usually happens, in happier times, through a process of subdivision micro-specialization, and endless bickering (some folks call it ‘peer review’,) which is how those hierarchies create knowledge. The ladder of subdivision goes down, and down (think about those particle physicists, blasting apart atoms with higher and higher energy!) until finally synergy is reached through overlap. We lock smaller and smaller hunks of stuff inside colliders until our need for seemingly infinite precision yields a God Particle. Or something.
For those, though, that can’t blast, they create models using mathematics. I wrote a longish Twitter thread on this — how scientists create models, which are what they do when faced with a real world that can’t be captured and measured. Now we start seeing problems. Scientists get trapped outside of their Ivory Tower, uh, I mean v-Meme, uh, I mean social structure. You get the picture. And as I’ve alluded before, some do it better than other. Now their discipline requires metacognition — knowing what they don’t know — which is what their social structure absolutely sucks at. For those that doubt me (almost always academics) stand up in your next faculty meeting and watch what happens to your status when you tell your colleagues you don’t know. Not pretty. (Yes, I’ve gained tons of insight into social systems in faculty meetings!)
How those models come into existence now matters a lot. They, too, are based on given Knowledge Structures, and dependent on the social structure that creates them, they map. There’s a ton to write on this, but the short version is the list below:
Deterministic models based on fundamental principles. These are what we use, for example, to figure out asteroids running into the Earth, or stress concentrations in airplane wings. Same meta-class. We know the physics well, and can model the physics using various numerical techniques, and simulate on a computer
Semi-deterministic models based on parametric estimation (usually from some data set out there that ostensibly describes the phenomenon.) Basically all the epidemiological models fall into this category. There’s some physical assumption about how the virus is spread and how fast (this is the whole R0 thing you hear about) and then people take data sets, and estimate parameters. Various people receive chops for fads, like using Machine Learning (Artificial Intelligence has to be more intelligent!) and the circus continues.
Monte-Carlo simulations based on running probabilistically generated trials for various scenarios. These are often done for looking at performance efficacy of a given system — I used to do this back when I helped hunt submarines and pioneer new radar detectors.
One of the interesting things about my career as a bona-fide aerospace engineer is that I’ve used all three of these things. The first involved the basic research I did for my Ph.D. The second was an extension I used of my Ph.D. work that led me into attenuating helicopter noise using signal processing techniques called wavelets. And the final was my Master’s degree work on signal detection theory (radar and sonar) that gave me a toolkit to combine all these things into looking at wavefront modeling of forest fires.
It was arguably the first that taught me the limits of the other two. As one of the folks working some 35 years ago to understand how chaotic dynamics worked, I got taught early on the power of metacognition — knowing what you didn’t know, and realizing what you couldn’t likely know. How? You’d run a given simulation one way, and get an answer. Then you’d change one thing one teensy-tiny bit, and the answer that would come out would be totally different. This phenomenon (short version for the scientifically adept — sensitivity to initial conditions) was poorly understood at the time. For me, wanting to finish my Ph.D., it became a stern master in my fundamental ignorance. If anything, it taught me that Yellow v-Meme Reflection thing. Alone in the lab, running simulations (remember, this was 35 years ago, and we didn’t have iPhones that could do this stuff in their sleep!) I was forced to ponder my deep inadequacy in completing the work I had promised my advisor, who was (and is) an awesome human whom I did not want to disappoint.
Fast forward to understanding how the street-fighters, uh, I mean ‘respectable scientists’ are lining up regarding the COVID-19 predictions, and how, and importantly when, the pandemic is supposed to end. On the one side you have the standard immunological/epidemiological established community (“Believe science!”) crowd who originally, with their models (some mix of all 3 archetypes, but heavily weighted toward #2) lined up and broadcast 10x-100x greater fatalities/spread/whatever than actually occurred.
As time has passed, their models have gotten more precise as far as predicting things like death totals. No question. But that’s also mostly because when you’re doing Type 2 modeling, you’re really working on principles of interpolation, which ALSO really means you’re forcing the model to be more like a closed system. So of course, more data would lead to better paradigmatic estimation. The curve would fit tighter.
But you’d still be stuck in your Legalistic social structure, and your v-Meme. Which would mean two big things.
Because life as an Authoritarian/Legalist means that everything ought to be perfectly predictable, your sense of consequentiality would still be shit. You wouldn’t be able to predict what things might come along to mess up your model. And you wouldn’t be particularly happy to see that happen, either, since the accuracy of your model isn’t tied to the Guiding Principles (still evolving) of the pandemic. It would be tied to increasingly accurate schemes of parametric estimation. And here’s the rub — you’d be super-comfortable with that, since you’d be satisfying that “way your brain is programmed Legalistic v-Meme itch” in how your psyche works. “Extensive testing is proving me right!” you’d holler! Well, yeah — because extensive testing is finally feeding your parametric estimations so your model doesn’t look totally awful.
You would be openly hostile to anyone from any other discipline giving insight, especially at a higher level, on why your model is wrong. You’d argue that you’re the REAL scientist, operating only on what the known information (that awful COVID-19 data) is. And because you’re stuck inside a social structure that whomps you on the head if you say you don’t know, you’re far less likely to stand up and entertain that there are “Invisibilia” — factors that you just don’t understand — are screwing up the highly refined model you’ve just staked your reputation on. Trust me that all those Ph.D. students who helped you build it aren’t gonna utter a peep. They want to graduate.
#2 is the reason far too many scientists are stuck on what I call Intellectual Flatland. And the COVID-19 pandemic is a great exemplar of how that works. From a virus perspective, without a vaccine (which is a tool for building uniform herd immunity, FWIW) we are stuck with naturally generated “herd immunity” like it or not. And because our Legalistically organized hierarchical epidemiologists are stuck with the brains they have, there’s only one way that can manifest (that’s that whole dichotomous thinking thing that comes out of the social structure) and that’s with measurable antibody counts. Either you’ve got ’em or you don’t — and if you don’t, because all we’ve got is hindsight, and the awful data, well, the virus must not have continued to spread, because those seropositive antibody counts have to be up about 60-70% of the population in order to really have it.
Never mind the observable phenomenon that even in places like Lombardy, Italy, or New York City, places so obviously saturated with COVID-19, are displaying antibody counts around 20-25% of the population (that are detectable.) There aren’t any other options, according to this community, and that’s that. Because they’re the experts. Never mind the fact that they were wrong last week. T-cell immunity? What’s being now called ‘Denatured/Barriered, or Innate/Cleared’ (from Ivor Cummins podcast) which basically means you make so much snot than the virus can’t get through, or the second, your immune system is so bad-ass the virus doesn’t even cause a ripple — doesn’t exist. As well as the obvious hypothesis testing ‘False Negative/Miss’ flaw. Mistakes, even small ones? They’ve got those under control.
And here’s the critical thing — we are SO conditioned to believing that independent subject matter must all be processed through different parts of our brains, there simply can’t be overlap — we can’t believe that our brains would use the same circuits, using domain-independent knowledge in similar ways. We CAN’T believe that whole ‘As we relate, so we think’ thing this blog harps on constantly. THAT messes us up with understanding this pandemic. Because, well, it’s not just my personal affectation. It’s true.
How does this manifest itself with our Legalistic/Authoritarian epidemiology friends, who now have major reputation stakes riding on being right? They’re going to start insisting on actions that flow naturally out of the v-Meme were ALSO major factors in stopping the spread of the virus.
What actions map out of the Legalistic/Absolutistic v-Memes? First off, they have to be low-agency, meaning individuals only help the situation if they listen to the boss, or follow the rules. Individual health or immune response really can’t come into play. And because these folks know what they’re doing, those might be the reason the virus finally dies out. Certainly not factors that they don’t understand. And true to the dominance of Externally Defined Relationships in the social structure, only Externally Defined Factors can really make a dent in this virus.
How this manifests is fascinating. Here are some examples.
The coronavirus is receding because increased sunlight in the Northern Hemisphere is KILLING more coronavirus. (External) This as opposed to people’s individual immune systems are being strengthened by Vitamin D levels increasing because of their own ability to strengthen their immune systems in the summer.
Lockdowns HAD to work, as opposed to social distancing. There’s no more powerful command and control than having everyone stay in their houses. Being courteous and not coughing in other people’s faces is NOT something the Value Set trusts you to do.
Asymptomatic cases are perilous (Authorities operate out of a limbic, fear-based perspective,) because they can unwittingly contaminate other people with the virus and cause them to die (empathetic, agency-based relational contact is not something the social system tolerates at all!) as opposed to entertaining what I’ve promoted — a dose-dependent understanding of spread that says appropriately managed asymptomaticity is actually what is building immunity across a population.
Of course, there is nuance to all of these, and the larger picture is assembled by understanding the larger guiding principles, and weaving together a tapestry of how the virus functions across the entire planet. Lockdowns may indeed have been effective, as I have argued, linked with asymptomatic spread, because it shunned people who were coughing (high dosage spreaders) from going out for any reason. Sunshine may indeed kill more coronavirus — remember, we started this pandemic with the belief that the virus was an invincible killer, virus- wise (something that also would lock into the fear-based modes of Authority-driven systems) — but we’re still not around to the point of disaggregating populations and understanding the very real effects on dramatically more impacted communities, like African-Americans. We can’t even bring ourselves to address the effect of our obvious metabolic/immune system crisis and how that might affect spread.
But enough about the epidemiologists. What is really interesting is that there are other heavy-hitting scientists that are wading in the fray. The main point here is that these individuals are OUTSIDE the In-Group (the epidemiologists) analyzing this situation.
I’ve written about Michael Levitt here, a Nobel Prizewinning scientist, combing through the data with a much greater humility than the mainstream epidemiology community. His background is in structural biology — far afield, really, from immunology — and the epidemiologists have been screaming for him to stay in his lane. His secret weapon, though is really just a greater metacognition. Yep — he is a thorough scientist, and relies on empiricism. But he also questions modes and mechanisms, and is searching for alternate mechanisms to explain immunity. It’s arguably easier to do this when one has a Nobel Prize hanging around one’s neck. No one’s going to call him stupid, and he’s not got the crazy tag that a couple of other Nobel Prizewinners have.
And because this problem is big enough, you also have more far-afield folks wading into the battle. Chief among these most recently is Karl Friston, a famous German neuroscientist, who, with his research team, is apparently doing a more first-principles modeling effort. Not surprisingly, his viewpoints and mine about the modeling efforts (and eventual outcomes) align. This dude is even using my Asymptomaticity as Dark Matter tagline! His quote from the Guardian piece:
How do the models you use differ from the conventional ones epidemiologists rely on to advise governments in this pandemic? Conventional models essentially fit curves to historical data and then extrapolate those curves into the future. They look at the surface of the phenomenon – the observable part, or data. Our approach, which borrows from physics and in particular the work of Richard Feynman, goes under the bonnet. It attempts to capture the mathematical structure of the phenomenon – in this case, the pandemic – and to understand the causes of what is observed. Since we don’t know all the causes, we have to infer them. But that inference, and implicit uncertainty, is built into the models. That’s why we call them generative models, because they contain everything you need to know to generate the data. As more data comes in, you adjust your beliefs about the causes, until your model simulates the data as accurately and as simply as possible.
I’m absolutely NOT accusing this dude of ripping me off (you can check the dates — I didn’t rip him off either — but my blog has had these concepts out for months.) Rather, there is a convergence of value set that would cause us to generate similar insights, from similar value sets. This is what I talk about in this piece about the value of values. They serve as container sets for generation of similar, more complex information.
What IS interesting is that we now have the scene set for a major structural memetic war. Two camps, set firmly in their representative v-Memes, three v-Memes/value sets apart, at least tool-wise, aren’t going to reconcile any time soon. All three have a large (un?)healthy dose of Authority-driven Red Value Set in them — As a side note, I’ve written multiple Tweets to both Levitt and Bergstrom at the University of Washington, who could fairly be tagged as representing the mainstream epidemiological community. They don’t write back, though they will respond to snipers who are obvious trolls. Classic Authoritarian v-Meme – someone like me is, in their eyes, an unimportant authority. And Friston is utterly unreachable.
What this means — especially when you have Authority-driven personas, using toolkits from different value sets (Guiding Principles/Reflective for Levitt, and Legalistic/Absolutistic-Algorithmic processing for the University of Washington crowd) is you’re going to have both structural memetic conflict as well as a good old fashioned donnybrook.
One thing I can guarantee. Both (or all three) will argue ‘Science!” They will all claim the Holy Quest for Absolute Truth as their driver. But the reality is that it will be the v-Memes that will be doing the talking. We may start out with the Marquess of Queensberry rules. But trust me — this one’s gonna degenerate into Fight Club.
From the air, on a late spring day — North Fork Clearwater – photo by son Charles Conor Pezeshki. The bird is likely a cliff swallow
I had a request from a Twitter friend, Dr. Cameron Sepah, (@DrSepah) an executive coach, and Professor of Psychiatry at UCSF, for perspectives on the term toxic masculinity – a term coined in the academy, but seeing widespread usage in today’s editorial milieu.
Dr. Sepah is now leading a consumer health start-up, Maximus, with the intent of providing positive reframing of masculine mental models, with content, community and clinical support, along the line of what he’s named Tonic Masculinity.
In the piece below (tentatively Chapter 3 of the book I am writing) within the empathy framework that I have written about, I show that actually the term “toxic masculinity” is misleading, but also a product of low empathy perspectives. With a more evolved perspective, where we integrate social structure, trauma, and personal development, we can see paths out of negative behaviors.
With that introduction, below, I’ve pasted the piece.
Chapter 3 — The Power of Empathy On the Oil Platform Ursa
No man is an island.
Dateline June 17, 2016
In a story by Hanna Rosin, for the National Public Radio show Invisibilia, Rosin looks back at a case study on Shell Oil Company’s initial foray into deepwater oil drilling in the Gulf of Mexico, on the state-of-the-art platform Ursa. Developed in 1997, to the tune of $1.45B, Ursa was a breakthrough effort in petroleum exploration. Designed to go much deeper, and pump more oil than any offshore platform to date – Ursa was designed to drill in over 3000’ deep water – the complexity, energetics and systemic integration massively exceeded any effort to date.
Manning any offshore drilling platform was, and is still hazardous duty. Rosin tells a story of one of the co-workers on a crew pre-Ursa who was picked up by a loose wrench tensioned by a large pipe. He was picked up and spun about 80 times before he stopped, smacking his head on a post that was tragically adjacent. The man’s head was turned into a bloody pulp. His co-workers watched this happen, with all the trauma that would be entailed. Yet they only gave themselves 15 minutes to mourn before going back to work.
“In about three seconds, it spun him around about 80 times,” Chreene says. A few feet from the man was a post, and “his head was hitting that post like a rotten tomato.”
They got 15 minutes to mourn after watching their friend and colleague die, but that was it. “I mean, that hole cost a lot of money,” he says. “We got to go to work.”
And scaling up the operation, with more people, and even greater system energetics, was likely to increase the safety risk even more. The C-suite at Shell knew that things had to change in the work culture of offshore oil exploration to have any hope of operating such a large platform safely. But they had no immediate answers.
Then an unusual event happened. Shell was contacted by a leadership development firm, headed up by a Holocaust survivor, Claire Nuer. Nuer was a former Werner Erhard EST participant and devotee, and insisted that what really needed to change was that the men needed to get in touch with their feelings. She insisted that the code of conduct on the rig was one of hidden emotions, and that would not allow them to move forward as a unified team until the necessary work was done in daylighting the stresses the men encountered together.
The result of Nuer’s facilitation was an upward trajectory of bringing the oil platform group into a successful, high functioning team. Adoption of similar team-building exercises across Shell led to the accident rate dropping an incredible 84% company-wide, and allowed productivity on all the company rigs to soar.
The success attracted academic attention as well. Dr. Robin Ely of Harvard University, and Dr. Debra Meyerson of Stanford concluded that having the men get in touch with their feelings was key to peak performance. From their Harvard Business Review paper:
“What can managers in white-collar firms learn from roughnecks and roustabouts on an offshore oil rig? That extinguishing macho behavior is vital to achieving top performance. That’s a key finding from our study of life on two oil platforms, during which we spent several weeks over the course of 19 months living, eating, and working alongside crews offshore.”
“Their altered stance revealed two things: First, that much of their macho behavior was not only unnecessary but actually got in the way of doing their jobs; and second, that their notions about what constituted strong leadership needed to change. They discovered that the people who used to rise to the top—the “biggest, baddest roughnecks,” as one worker described them—weren’t necessarily the best at improving safety and effectiveness. Rather, the ones who excelled were mission-driven guys who cared about their fellow workers, were good listeners, and were willing to learn.”
Both Ely’s and Meyerson’s paper, as well as Rosin’s piece, focuses on the ostensible culture of macho behavior, and how what Ely calls ‘toxic masculinity’ created a corrosive work environment that had led to the safety problems in the first place.
But there are signs of other insights. Rosin, at the end of her story, noted that information flowed far more freely and accurately across the oil rig, and though there was lots of commentary about gender roles, and ‘girly’ behavior in the analysis, she did notice the difference.
All well and good – sort of. But how do we take the analysis from both the academic side, and the radio reportage and as a cutting-edge, performance-based leader, move forward? Ely has this comment from her paper:
“If men in the hypermasculine environment of oil rigs can let go of the macho ideal and improve their performance, then men in corporate America might be able to do likewise. Numerous studies have examined the costs of macho displays in contexts ranging from aeronautics to manufacturing to high tech to the law. They show that men’s attempts to prove their masculinity interfere with the training of recruits, compromise decision quality, marginalize women workers, lead to civil- and human-rights violations, and alienate men from their health, feelings, and relationships with others. The price of men’s striving to demonstrate their masculinity is high, and both individuals and organizations pay it.
But perhaps the most interesting comment, reported by Rosin, came from one of the oil rig roughnecks themselves.
“Horn says that after his stepmother’s funeral, his son told him, ” ‘It could be a total stranger. I’d still cry for them. I have empathy for those I don’t even know.’ So where did he learn that? You know, instead of all this tough-guy stuff that you’re raised with in the South. Did he learn that from me? I don’t know.”
Let’s transplant ourselves for a minute, and put on our manager hat. How can we understand this situation from a place in the modern office, or on a software development team? Should we arrange a training with Claire Nuer’s firm, and watch as it terminates with every man on the team giving each other foot rubs? What happens if we take people in non- life-threatening work environments and attempt to get them to open up to each other, disgorging themselves of whatever ostensible toxic masculinity they have? What is toxic masculinity anyway, and is it a genetic predisposition? Are men fundamentally, biologically wired to behave in the way prior to training by a French Holocaust survivor? Should we just let women run the show?
There is another way. If we can move past the labels and stereotypes (understanding exactly why Rosin and the researchers perceive this situation this way will have to wait until Chapter 5,) we can understand the oil rig workers and their transformation from how their system moved information before the training, to the new instantiation afterwards. One of the meta- road maps developed in this book regards how observer’s perspectives influence outcomes and plans of action. It’s not that the insight from both Rosin, and the researching professors, is completely invalid. But if we understand both Rosin’s, Ely’s and Meyerson’s perspective, we can understand the narrative they’re constructing, and what tools they have to do this with. No one in this picture is without a perspective that influences the construction of the road map.
What does a different, empathy-based information flow version of how Shell drilled deeper, with higher productivity, as part of their pioneering efforts in the Gulf of Mexico, look like?
In the past, oil platforms were staffed in a low empathy, authority-driven fashion, with a crew boss who gave the orders, and underlings expected to follow the orders. Talking back was not allowed, and if you were told to do something, you had better do it or you’d be fired.
Work on the rigs was obviously dangerous, and often unsafe. Terrifying accidents happened with astounding regularity, to the point where in the minds of many of the workers, it wasn’t whether an injury-causing accident might happen to them. It was only a matter of time. As a result of the chronic hypervigilance, many of the underlings, as well as the crew bosses themselves, were trauma survivors suffering from a variety of trauma-related conditions, including Post-Traumatic Stress Disorder (PTSD).
The authoritarian power structures that organized work on the rigs tapped into many of the edicts of the surrounding culture of Southern males – exploited them, actually – and seemed to work well enough, considering that the value of people’s lives were relatively low, and how disconnected the communities were. Death on the platforms was an accepted risk by both women and men in those communities, and both genders had adaptive cultural behaviors that normalized that risk. When on the job, the fear on those platforms was profound, to the point that the men had developed a low/no empathy survival culture to deal with the trauma they and their friends experience on a regular basis. Those that didn’t run away, or fight against those working conditions were ones that the system naturally selected for. That left behavioral ‘freezing’ as the only operative mode persistent for men working on the rigs, which were literal islands off the coast, only joined by helicopter transport.
Pay, however, was high, for the educational level the men possessed, and the status and security of the work offset the risks, however tenuously, among the ones who survived the working conditions. Besides that, when people were regularly injured, the short react and response timescales evolved by trauma inside people’s heads were short. There was no point in thinking much about tomorrow when a.) you had minimal control over what work you were assigned, or b.) the reality that thinking about tomorrow might distract you from the now, and that level of distraction would get you killed. No one was really watching out for you but yourself.
Into this mess walked in someone who could relate – a Holocaust survivor, Claire Nuer. Possessing a powerful personality, with experiences in trauma that few could match, Nuer had also followed an authority-based, emotionally dysregulated path to some level of healing – Werner Erhard’s EST training. EST involved extensive harangues directed in a positive direction regarding confronting ones’ lack of developed relationship with self. The pressures from the training forced the frozen survivors, those whom the natural circumstances of the situation had selected, through extreme emotional pressure, to connect first with their own thoughts and emotions.
Nuer, through her own power and authority, also created a safe space for the men manning Ursa, to open up to their co-workers about the experiences on the rig, and also facilitated the development of coherent, shared meaning of the experience. The techniques Nuer used were crude, and did not work with all participants. One of the managers suffered an emotional collapse and had to be hospitalized. But by starting the process through first self-empathy, and secondly, emotional empathy with fellow co-workers in the same in-group, much good was done. Just as in those that had managed to survive the Holocaust, undoubtedly, Nuer knew that her methods would work. But she also expected casualties.
The men evolved empathetically through the process. Along the way of the various exercises, they learned how each would react and process the various experiences they had seen. Up close and personal, they learned how to read each other’s body and facial cues, to maximize their ability to handle shared risk. All had a survival stake in the game. By developing larger, shared narratives of their experience, they also learned that sharing the outcome of everyone finishing work alive united them. Emotional empathy – the ability to read and share emotions triggered by the stressful work environment they all participated in– evolved even further with repetition, and led to rational, place-taking empathy emerging – knowing what each other would do in a given stress-saturated environment.
The difficult work that Nuer led, and the men completed, knit together their social network, making them appreciate not just as isolated actors in a perilous world, but humans bound together in a dangerous environment. Because information exchange and reach mattered, they started deeply realizing that they were all sensors for different aspects of all situations on the larger platform. As they practiced both self- and other-knowing and understanding, their trust in their new information exchange capacity rapidly increased as well. Now, instead of each person locked down and frozen on their small, hypervigilant piece of turf, both spatial and temporal, they had full situation awareness of any variation in performance in the much larger arena of the Ursa platform.
As the crew boss learned of the advantages of having a distributed, duplex communication network model for his crew with regards to platform performance, instead of a fragmented authoritarian power structure, he supported the changes in work practice. The newer, more egalitarian social structure started paying off with rapidly falling accident rates, and soaring productivity, making it easier to evolve his perspective on appropriate management culture away from the hidebound model he had been raised. Plus, being deeply connected with the men, they became an extension of his own self. Because of that connection, he actually cared about what happened to them.
These benefits were felt off-rig by all the men as well. Once unfrozen out of their trauma-dissociated state, they were able to regain their long-term thinking abilities and rational faculties, and necessarily started thinking about the future. The emotional regulation and empathy-development skills learned in training to recognize gestures and unspoken needs became transferred to the world outside the rig, almost automatically, reframing the men’s perspectives with regards to their wives, children and larger community. When you are connected, you care.
And instead of a culture dictated by embodied harsh, low empathy authority-driven power structures that had dominated the men’s lives, with toxic In-Group codes based on the more regressive aspects of Southern culture, they began to pay attention to the changing world around them. They became a community. And with that larger, communitarian perspective gained on their work crew on the rig, other parts of their perspective were also modified to include a larger responsibility to others inside their social community.
New social development tools were also mastered. The process of reflection and connection that Nuer had introduced became institutionalized in the work practice on the rig. Much more empowered, and valuable to their own selves, the men could now look out into a world where others’ lives had value, as well as their own. And through the process of reflection, they could also learn to look backward at how they had been raised, and change themselves for a brighter future for themselves and their children.
For most readers of the management literature, the above description of the situation and the change dynamics on the oil platform Ursa will seem different and unfamiliar, even if the larger narrative resonates deeply. After all, allegations of toxic masculinity have been made by a noteworthy radio journalist, as well as a professor in the Harvard Business School. Toxic masculinity is a belief framework that many in academia are invested in.
But even on the surface, it faces what we call (and will discuss later) a validity challenge. Masculinity fundamentally implies behavior isolated to men, and toxic masculinity some moral value judgment about men’s behavior. Yet one would have a very difficult time keeping a straight face and denying that women of all cultures have an inherent ability, just like men, to be cruel and ruthless. There is the famous lyric from Rudyard Kipling’s famous poem, The Young British Soldier.
When you’re wounded and left on Afghanistan’s plains,
And the women come out to cut up what remains,
Jest roll to your rifle and blow out your brains
An’ go to your Gawd like a soldier.
Go, go, go like a soldier,
Go, go, go like a soldier,
Go, go, go like a soldier,
So-oldier of the Queen!
Talking about toxic masculinity passes what we’ll call the reliability challenge. It’s a mental model, a map, that many people will identify with, and be able to describe. But it’s fundamentally a status assertion that doesn’t lead very far – maybe to another set of trainings on diversity. If it fixes your productivity challenges, it’s only because the diversity trainer was also cogent enough to work on the other failings of empathy. And fundamentally invalid mental models will only get you so far. As Mark Twain so insightfully said, “It ain’t what you don’t know that gets you into trouble. It’s what you know for sure that just ain’t so.”
By understanding the deeper psycho-social dynamics of the situation on the oil platform, instead of the status-based mental model of toxic masculinity, the empathetic manager can see paths forward for both the employees AND the crew boss. Trauma and a lack of social evolution had limited uniting everyone in shared performance goals. By appreciating how sharing information in a high-risk, high-energetic environment could make a difference, management could structure physical means, as well as important social ones in the org chart, so that the org chart wasn’t working cross-purposes with the larger goals of both drilling for oil, as well as having everyone finish their shift safely.
Empathy matters. The men developed empathy for each other, and their evolution spread beyond the boundaries of the small group of individuals in the work crew. The quote,
‘It could be a total stranger. I’d still cry for them. I have empathy for those I don’t even know.’
Is particularly insightful. Once developed to a certain degree, empathy creates emergent behavior in the people possessing it, in ways that a priori may have been unpredictable.
But there’s more going on here than meets the eye. The narratives above offer evidence how all the men changed and evolved on a personal level. But other things changed as well. Social structures and communication patterns altered the fundamental way the social network operated on the oil rig, from a pattern of fragmentation to richer mode of shared awareness and knowing.
That’s a huge change in perspective on the events in the Gulf. To understand that change, as well as understanding that the core change had to start with empathetic development, we’re going to need some more theory.
Note: If this is your first time visit to my blog, thanks for coming. That said, this is not a place where the typical reasons are advanced for current events, nor typical theories supported. What this blog strives for is a larger coherence in actions of large social networks and their occupants. In no way, shape or form does this mean that everyone else’s opinions are wrong, and mine are right. Many people can give excellent insights into what is going on in the world. The unique contribution of my writing is attempting (!) to show how all these things are linked together with stages of societal and personal evolution.
This involves a trip into The Matrix. But the Matrix isn’t some weird world where humans are plugged into some bizarre stack and serving as batteries while the few Woke individuals heroically fight for the Truth. The Matrix is our combo tightly-coupled/loosely-coupled social network of people, surrounded by circumstance, that creates our impulse to act.
How that impulse to act works is keyed largely to your own level of personal development — your agency and level of identity that has been shaped by a variety of forces. Of course, this includes your family background, the background culture you grew up in, your education, gender, class and so on. All these are comfortable models we’ve been taught that discriminate our “Why” for action. But there are other things — often more profound — that dictate our more powerful drivers for our behavior. Experiences and relationships with others shape our minds. And travel, the social structures, with their inherent dynamics, incentives and penalties, all condition us on a daily basis. Trauma as well is a powerful force, and often hides under layers of assumed virtue in the face of others — as well as offering a ladder to higher behaviors we may not believed that we have in us.
Through all this is one very important thread — empathy. Empathy is explored extensively on this blog, and it is far more than just giving someone a hug. It involves a stack of neural functions, ranging from mirroring, to emotional connection and attachment (the familiar definition), through conscious and larger connection with others. Though the intensity of empathy waxes and wanes in all our interactions, it is always present. It is not something to be turned on or off — its base function is deep in our brainstem and automatic function. But the higher, more complex forms can (and must!) be cultivated.
Empathy matters because it serves as the information coherence function for one’s connection to their social network. We all know that words are not enough to convey all the information necessary in any conversation/interaction. Yet capturing how much information is lost is something that is really poorly studied by academics, who we count on to figure out such things. The reasons are not particularly simple — but the main one is that academics exist in low empathy social structures, and don’t get much practice with it. So they mostly ignore it. This blind spot is profoundly hurting our society, because the practice of empathy is how we wire our brains. We don’t understand much of how we know. Instead, what is granted as a substitute is an increasingly fine-grained surface-level portrait of an increasingly complicated landscape.
And when we don’t understand the deep “How” of what we know, then, well mistakes, misrepresentations and such happen. But it is more perilous than that — we leave ourselves open to manipulation from others. We grasp for surface-level photos of representative markings — from black masks, to swastikas, to Hawaiian shirts. All these are poor indicators of anything, because if someone wants to lie, it’s much easier to change out your mask color than rewire your actions and intents.
In simpler times, with far fewer people in far greater spaces, these types of things DID indeed come into play — but with lesser consequences. Skin color, accents, clothing were, and still, to some extent, indicators for particular groups existing inside our culture and the world. But in today’s hyper-connected world, where much habit-based mixing is allowed, they are all poor indicators. You’re as likely to find a vegan right-wing fascist as a meat-eating left-wing communist.
Though even those two terms (fascist and communist) are really relatively meaningless. They describe philosophies that exist as convenient labels, and tell you very little about the people whose actions are being prescribed. Most people couldn’t even tell you what most of these terms mean any more. And if they could, they couldn’t begin to tell you how to set up a government that might implement them. Separate most people from the majority of the labels they use and they will rapidly become angry. It’s what psychologists would call a boundary violation — where you’ve denied them a part of themselves that’s deeply rooted in their core emotional identity, it doesn’t make them happy. Those labels do not exist on a conscious level. They don’t dictate actions that a person might take, though that is what matters — especially in crisis.
And academics, by and large, spend almost all their time on label refinement. It’s not totally a useless exercise. But as sophistication and fine-scaling grows, as a guiding principle mode of thinking, everyone gets lost in the details. Very few people pause, put their hand on their chins, and say “What would Karl Marx do in this particular circumstance?”
What happens instead is what I call ’emergent behavior’. It’s what your intuition tells you to do. It’s not solely from your gut, either. If you’ve practiced slowing down, looking at certain key indicators, and self-calming, your intuitive action can be surprisingly rational. This is a transcultural understanding, and you can read anyone from Plato to Bruce Lee to find specific examples. But most people don’t do this. Acting quickly and within the context of how we feel — how our limbic system tells us to act — has helped our genes from getting eaten by tigers for hundreds of thousands of years. Act now, analyze later, if at all.
We need a different way, especially in these crazy times, of analyzing our situation. And that’s where understanding empathy and connection comes in.
Let me tell you a little bit about me. I have been a teacher (professor, TBH) for over 36 years. I run a large, successful program where undergraduate seniors receive exactly the kind of education, if you’d ask anyone on the street, you’d want them to receive in engineering. They design products for companies, very loosely supervised, and with vanishingly minimal intervention from me. They are amazingly successful. They, of course, have their knowledge scaffolded out by my colleagues teaching them various subjects, that they usually forget. Then they are placed in environments where results are emphasized, as well as justification of results. They love me, for the most part, and I love them as well. But they really think I’m an idiot, because I’m always cracking some stupid joke, or looking away when they ask a hard technical question. It takes the average student of mine 10 years of latency before they figure out what happened to them. Then they come back and give me money for the next generation of students.
I rarely lecture, though I do deliver soliloquies on why things matter. I learned a long time ago that if you lecture — deliver information in an Authoritative/Authoritarian format, only at best about 20% gets through. What typically happens is the information is tagged out with one of my stories, and promptly forgotten. For people to really learn something, I have to create conditions for emergence — where students, with some given background, placed inside a circumstance, through relating to each other and specific actions they determine — come up with the answer themselves.
The first step involves having them learn to trust themselves, in both their choice of colleagues, as well as their own abilities. As they struggle, they learn calibration. And they learn to read their friends as well. That exercise creates nuance in their thinking. Not all people can be trusted to do a particular set of calculations well, or machine a part. But over time, students working together must evolve those abilities or they will not achieve their own goals.
It is NOT a conscious process for most. But it expands how they perceive the world. Now, instead of this small part of the world being viewed in black or white/knowing or not knowing, there are shades of gray. These changes take time, of course. But this is how we wire the brain — through that connection/experience process, with some facts sprinkled in to make the cake more tasty.
Contrast what is described above to most of the education students received. Now you have an insight into why we are having a meta-crisis. Instead of building agency and independent thought, we’ve coasted on our laurels and occupied more and more of student time with attempts to program them. The problem is, without that mix of relational interaction, it simply doesn’t work.
And three things come to the fore as part of our meta-crisis.
Because we do not practice with empathy anticipating what others will do in safe, controlled circumstances, we lose the ability to project what others will do, given data, in larger circumstances. We lose a larger sense of consequentiality.
Because we practice fragmentation of how we know — assorted, scattered facts, not connected in any mode of deep history, mostly arranged to satisfy some complicated negotiated knowing — we never develop the ability to back up and see the big picture.
Because we educate individually, in a competitive environment, to the exclusion of almost everything else, we feel comfortable sorting all sorts of people into categories and classes, deserving and undeserving due to a fragmented moral sense, and we simply cannot understand others’ circumstances, nor, more importantly feel their pain.
Loss of anticipation, learning through fragmentation, and inability to feel others’ pain. These are the three lessons we burn into students’ brains. They all create a crisis of lack of empathetic development.
All are curable and fixable in the context of any stated religious belief system. There is no stated moral conflict with any written codex of belief. But if we are not aware of the other side — the higher road — we will act emergently with these low-empathy principles in mind. Our knowledge can be used against us. And we won’t even know it’s happening.
There are no easy paths out of complex and complicated situations like the current rioting over George Floyd’s murder under the knee of a police officer in Minnesota. But there is, using an understanding of empathy, an easy way to sort people who would plunge this country into a civil crisis or war that will destroy the lives of many of us.
Relational diversification, or relational disruption is the separator. Relational diversification is a necessary component of higher level empathetic behavior, and more evolved societies. The more, diverse, different people you know, with more experiences different from yours, are the necessary ingredient for wiring your brain to handle complexity.
That ability to handle complexity matters in modern society — and if it seems modern society is more complex than when you were growing up, it is – by the day. My own children are products, and programmed by global culture. My oldest son loves Japanese anime, Korean soap operas and BBQ. My younger son has taken tennis lessons in Vienna, Austria, programs computers, and is training to run a marathon.
All fine — but what empathetic complexity really allows us to do is process the information necessary to live in that complex society without emotional confusion and anger. It doesn’t delete a moral code that allows individuals to turn a blind eye to others’ suffering. It is not a sop to post-modernism. At the same time, difference and novelty do not confound — they mostly complement, and create conditions for us to draw healthy boundaries between us and our environment. We are less a label, and more a person.
What it really does is allow increased population density, as well as increased productivity necessary to feed and clothe all the people that live here. Without it, without that ability to connect across to others, we simply cannot maintain modern society.
If we don’t choose the path of societal and social empathetic evolution, what that means is that lots of people will have to DIE. Or rather, be KILLED. Simpler, lower empathy systems cannot maintain the populations nor the population densities we have on the planet.
Many people dysfunctionally fantasize about this type of global crisis, because across the world, regardless of nationality or location, the last part of the 20th Century has largely been free of mass killing. Yes — there are examples otherwise. But compared to centuries before and the long view — all things considered, the world has not done so badly. I read (or actually listen to) many long-history books on my bike rides, books like Peter Frankopan’s Silk Roads, which is large breadth view of history from China to the Near East. Stacking dead bodies is something that humans have done, with regularity, from time immemorial.
If you want to return to those forms of governance and development, you simply have no idea of the horror and suffering involved, or you are disordered. We’ve had a little glimpse into what it means to return to the 9th Century with ISIS, Syria, and the entire situation in the Middle East. We often focus our attention on slavery on the tragic conditions of African-Americans in the United States. But slavery has a much longer history than that. People have been taking slaves ever since humans organized themselves into tribes, probably over 20,000 years ago. Mostly a product of conquest and capture, slavery became popular when certain tribal winners could afford to keep slaves. One can read about the story of Cabeza de Vaca, a failed Spanish conquistador, for more insight. It takes a certain level of sophistication to have slaves, because, for the most part, you have to feed them if you want stability. And you, of course, must have power and the ability to control. Often material, in terms of weapons and such, there are other ways of controlling people, asking them to forfeit their agency completely to the needs of their overlords.
Here is the insight — what slavery also requires is traumatic psychic destabilization of the slaves. Trauma isn’t a bug — it’s a feature. While there might have been some rare number of “kind” slaveholders, that’s really not the way the social system works. One must decide that the slaves are non-human, which requires suppression of the ability of the slaves to conceive of themselves as part of humanity. But it also requires derailing empathy in the slaveholders. You must deny the flood of signals coming from your empathy detector, into your brains that the people whom you are beating or killing, are humans.
And that fucks YOU up.
This traumatic destabilization reduces coherence in how your society thinks. The dissociation, emergent from the trauma, and necessary for short term mental survival, drives other bad stuff. When you start denying your core neural programming — that you’re connected to a living thing that looks like you save for superficial differences — you mire your own thinking at the Magical level. And that ungrounding has far-reaching consequences. I wrote here about the Aztecs, who had basically convinced, through savage warfare, neighboring tribes to send them their young people for both slaves and to serve as a reliable food source. An otherwise sophisticated society became hooked on the belief that the sun and moon literally rose on their actions (think about that from a perspective of egocentricity!) which involved regularly killing, eating, and enslaving people. Coupled with disease, it was that loss of grounding reality that caused their utter collapse and destruction by a literal small handful of Spaniards, who managed to reach out across the Aztec’s historic enemies and destroy them.
The point is that their practice as a society created the conditions for leaving reality behind with that magical viewpoint. When you leaven society with trauma-as-practice, you may survive for a while at the developmental level that you’ve arrived at. But by denying the need to evolve, you’ve also created the circumstance for civilizational collapse. You need to not only traumatize your source of slaves in order to keep preying on them. You also need to create scripts that intrinsically traumatize the rulers as well.
And that destroys your resilience. Something comes along, disease, climate change, or the death of George Floyd. And you come undone. That is what is happening now.
The idea that these things happen because of large scale disturbance is weak. For sure, famine can be a problem. Big things can matter. But the inherent fragility in the system means that small things can turn into big things relatively quickly. A rag-tag army of Spaniards that would have had no chance of survival had they shown up on a united Mexican mainland would have been killed relatively quickly. But because of the fantastic disconnection from reality engendered by the culture of trauma of the Aztecs, one crack led to the downfall of an empire.
The continued maltreatment and traumatization of our African-American brothers and sisters, along with undocumented immigrants, is not only perpetrating trauma on these populations (children in cages at the border, and my own damning favorite — 25% of all African American children will experience eviction before age of majority.) It also keeps both the victims and the larger perpetrators locked in a magical trauma cycle. Yes, it is true — some manage to climb out of the cycle. But a large majority — large enough to polarize our nation — are not climbing out.
And it’s not about the money. The rich in this country overwhelmingly make their money off of money. An entire sector of our economy is dedicated to squeezing out value out of instruments like the stock market through minute differentials in timing of buying and selling. This creates no value, and much fragility. The Fed prints $6T dollars in a day to save the stock market. This is NOT about the money.
But there is really only a very weak movement to change things. And that is the real first thing that has to change. Yes, the movement, indeed, must be inclusive, and listen to African-American voices. There is simply no way to gain insight into the complexity of how specific laws and rules, some well-intentioned, some far less so, play out without listening and understanding to the affected cohort of people.
But at the same time, more listening is not what is needed with regards to moving on basic needs. Who can argue that people need basic health care, housing, and food? You don’t need to be African-American to understand those basic things. Ignorance and a lack of empathy should not be a dodge for privilege.
There is excellent research out there that looks at some things like our policing systems, and how they need to change. We should use specific research to drive change. At the same time, we need to develop far better and agile “test and adapt” cycles to public policy. That will involve evolving the consequentiality of thinkers up and down the governmental scale. None of this is easy. We have created too many people through our educational system (that must also change) with the three flaws.
With regards to our current crisis in protest, I do not particularly care whether people promoting violence are Antifa or white supremacists. Their goals are the same — relational disruption. Both parties believe that relational disruption will lead to better things. For the first, it is collapse of what they believe is a capitalist system that offers no quarter for anyone who isn’t an already designated winner. For the second, it is some magical concept of holy homeland for the white race — whatever the hell THAT is.
But the empathetic physics also tell me that in the context of the disruption people will have to die — lots of people, because there are simply so many of us. And in order to get back to the homogenization of population, or back to dramatic traumatic suppression of an entire group of people, there’s got to be killing. That alone should send shivers up everyone’s spine.
The problem we are facing with the current protest movement goes far deeper, though, than Antifa, or White Supremacists. The protest movement itself is extremely unevolved. One can be for police reform, for example. But that has to mean something, and right now I can’t seem to figure out what particular policy anyone is championing. Getting rid of the police isn’t an option — every place where you put in civilian militias ends up with a certain percentage turning into Death Squads. Though they may exist in Alexandria Ocasio-Cortez’s legislation docket, there is no proposed national legislation that is regularly reported on. This is likely a failure of the media. But activists are supposed to get out there in the public eye and inform.
And this has been the history of all Trump middle-class protests. Turn-out is good, but inevitably, it’s a crowd. No one collects contact info, the social network cohesion is low, and all you have to do is show up with a sign or a pink hat. I’m ON the side of women’s rights, Black Lives Matter, and most of the anti-Trump sentiment. I see it as many of the labels issued in the protests.
But building a better world doesn’t happen through jingoism. Better worlds are built through understanding systems and how they function — especially in a crowded world, with the crazy amount of income inequality that differentiates lived experience and destroys empathy. Better worlds start when we understand how the game of money is increasingly rigged to disenfranchise large segments of the population through meaningless work, as well as trapping large segments of the population, through a loss of opportunity and advancement, in jobs that no one wants to do. It may not be as bad as the Aztec’s concept of haute cuisine slavery. But it is still destructive of the soul, and the human potential present.
One need look no further than the current COVID-19 outbreaks in the meatpacking industry . The real story of the COVID-19 meatpacking outbreaks wasn’t the virus itself. When one looks at the numbers for mortality or harm, they were about average for the population. Sad, for sure. People died. The real story was how abysmal the workers’ situations were, and how little hope they had for change. Undocumented, uneducated, and trapped by a legal system designed to slap those that might protest, companies like Tyson or Smithfield know what will happen if they pay their workers more. They’ll leave.
Large protest movements like the ones current in society can be a start for people to meet like-minded people and start the process of larger change. But at this point, they are also open to disruption because of the lack of organization. And crazily enough, part of the reason for the lack of organization is social media. Social media can be a powerful platform for getting the word out, or getting everyone to show up at a particular city square at a particular time.
And that denies the people involved in the movement from getting the experience necessary to evolve people who can create real change. When what you need to do is come up with the most inflammatory messaging to get people to turn out, that may pump up your numbers. But getting people emotionally excited, and then teargassed, doesn’t make for people with both the evolution and sophistication to parse the circumstances that created the misery in the first place.
As we’re seeing, it’s also giving the relational disruptors on both sides an opportunity to get their licks in. Where I sit today, I am still hopeful that this latest run at the machine will die down after a while. Things still have not reached Ferguson-level violence. But I could be wrong.
It is useful to contrast our current protest efforts with what is happening in places like Hong Kong. I’ve written about this here. The short version — Hong Kong protestors don’t have access to social media, because the government won’t allow it. But the result is that they’ve had to evolve far more agile and responsive methods of protests. People are identified by their physical, as well as organizational abilities. Grandmas sit on the edge of crowds, feeding water to the younger males and females in the middle. Messages are passed between cell phones via AirDrop. All this makes such protests much harder to disrupt. And it also makes people count on relational cohesion. You can bet good money there are Chinese disruptors in any protest crowd in Hong Kong. But just like viruses that can’t get their R0 on, their effect is tremendously limited.
Will the Hong Kong protestors prevail against the Chinese government? At least they’re giving them a run for their money. Part of the Chinese government also realizes that there is a long empathetic game to be played over Beijing’s control. They could send in their troops and have a massacre in the streets, as Donald Trump has alluded to doing with our own protests. But they also know that such tactics inevitably backfire, and lead to one’s own undoing.
What are the challenges moving forward? There are historic systems of oppression and power that have been in charge of this country forever. Anyone that denies that is smoking crack. But the DeepOS of these systems largely lie buried. They may have front men at the police station, and it is true that those systems need to change. But more than anything, they are deeply rooted in the maintained ability of the system to not care about the fate of large sectors of the population — including those that are not African-American. Those systems, while not colorblind, look to maintain poverty levels, and lack of education, through indifference and neglect — both emergent reactions — as well as any act of racism. Those are the systems clapping for ‘essential workers’ during the pandemic, while denying people the wages necessary to feed their families. They are a manifestation that simply appears as the result of the social system. And they leave behind increasingly larger sections of the white population as well. I come from one of those areas myself.
And we live in such an economic system of abundance, there is simply no need for any of it. My privilege is barely (if at all) affected by anyone else’s transition into a stable living condition. For the last three months, the COVID-19 outbreak has shown us demonstrably that there is more than enough food for all. There can be enough housing for all. And if we evolve ourselves with empathy, we will no longer tolerate an educational system that creates people that inherently will NOT create an inclusive, nurturing society. Because of COVID-19, colleges have even taken baby steps, setting aside the various entrance exams (SAT, ACT, etc.) that are used to gradate entrance. This is far from enough — I have worked with underrepresented minority populations for almost 30 years, and the idea that someone is going to come out of a traumatized background and suddenly excel in college is not backed up by the larger statistics. This is not to take away from those that do. But we must change our minds and start thinking in terms of populations, as well as statistics, in a compassionate and empathetic manner.
There are African-American voices speaking profound truths at this very moment. I have always been a fan of Reverend William Barber. Killer Mike, giving his speech just a couple of days ago, nailed it. Today on Twitter, I discovered Chief Master Sergeant of the Air Force, Caleth O. Wright. He nailed it. Cardi B — nailed it. There are many voices. I have local ones that show up on my FB page who say smart and wise things all the time. We should listen.
At the same time, it is important not to discount our own voices — not just in terms of expressing incomprehension of someone else’s experience. Speak for yourself regarding your ignorance — I’ve worked on these issues for years. By forfeiting our own voice in deference to how to fix some of these problems, we also look for absolution of responsibility. It’s not enough to express guilt for White Privilege. Lots of people have lots of expertise to solve lots of these problems. Listening is important. Synthesizing even more so. The ability to assimilate new information and change one’s mind? That’s the killer app. That’s the empathy thing.
I could go on. But this is enough. The path forward is to recognize the role of connection, the people that this connection will create, and the solutions that they in turn will create, as our main road to fixing our deep problems. It is time to realize we cannot cast things in terms of Left or Right, or these easy characterizations that have fooled us for so long. The only path forward is to do the hard work of Enlightenment. With everyone. This is a contrived crisis, that exists to maintain the mental models across the status quo.
The road ahead is more obvious than we think. We have to grow up. The answer is to get real. Let’s do it.
As I’ve mentioned in earlier posts, if there’s any system-y description that captures what is happening with the global COVID-19 pandemic, it’s basically that the world is having its bell rung. Traveling conveniently in literally a matter of days/weeks/months (the final answer is still unknown) as far as spread, in certainly a geological short amount of time, the pandemic is seemingly everywhere. Organizations like Yaneer Bar-Yam’s New England Complex Systems Institute, as well as universities like John Hopkins, produce charts of various infection rates, death rates and such, and map these things with little lag (varying in both accuracy and reliability dependent on source) across the Internet.
It’s almost like watching a deadly soccer game. Or more aptly, a big wave surfing competition. The different countries get on waves of different heights, dependent on a variety of factors, and surf down them until the wave dissipates, or they decide to bail off. The absolute score is the % fatality rate, when normalized with population, and there are definite winners and losers. So far, the U.S. is deep into Kook territory, though the Russians aren’t far behind.
In systems dynamics parlance, such an impulse of magnitude is akin to a Dirac Delta, or Impulse function, which is how, when we want to characterize harmonic response of a system, we whack it with a figurative, or often literal hammer. And then we watch how it oscillates, seeing which frequencies die out more quickly or less quickly. Plots of the resonance are made, and the modes of oscillation are constructed.
Underlying all this is an assumption of linearity. But linearity doesn’t mean what most of the public assumes it means. What it means is that each of the independent fluctuations at a given frequency that we see is uncoupled from other fluctuations. There are no meaningful interactions between one oscillating trend and another. When you whack a beam with a hammer, you get a primary resonance at the natural frequency of the beam, which is some combination of length of the beam, how it’s supported, and whatnot. But you also get a resonance at 2x, 3x, 4x in the frequency domain. And here’s the key. Even though these resonances are multipliers, if you damp out one, it doesn’t necessarily change the amplitudes of the others at other multiples. They are independent of each other. Believe it or not, that’s what vibrations people call linearity.
Such is NOT the case with large scale social/psychological/economic systems. The COVID-19 hammer comes down, mostly delivered by our air transport system and a cruise ship or two, and maybe a nightclub DJ. “Bong” goes the system, and the odd advantage of this particular pandemic, in a nation, or really a global system that seems far too unaware that we actually already had problems in multiple areas (like diet, health care, employment security and some such) all of the sudden, the public, via the Internet, is grossly aware of lots of things happening.
The public, networked together via the Internet, is a wildly imperfect sensor network to observe this response. The individual sensors are limited by all the things we normally think of when we pick sensors for far simpler applications — sensitivity, range, temporal scale and spatial scale. Those sensors themselves have frequency response characteristics that in more traditional applications (like whacking beams) we compensate for on the backside.
But we live in a global society, unaware of its deeper structural memetic makeup. And in fact, even bringing that up, outside our tired, tread-worn models of culture, national identity, income and education, are perceived as being positively reprehensible by the sensors, er, people themselves. Such is the curse of the post-modern world. The virus crept up on us without any ability to calibrate. How many people die in nursing homes, anyway? How does the immune system actually work? Answering these and a myriad other questions are happening real-time. COVID-19 has the characteristics of what we call in surfer-ology a Sneaker Wave. Such a wave appears out of nowhere, out of the normal stack of colds, flu, and cancer, and can wash you out to sea.
But back to banging the gong. COVID-19 is profoundly testing the resilience of modern society. And regardless of the sensationalist press, modern society is holding up reasonably well — for now. There are lots of cracks appearing in the infrastructure, and there may indeed be collapse in our future. I’m not ruling it out. But compare modern society and our death tolls to the Bubonic Plague in the 14th Century. There is simply no comparison. We are not dragging people outside the city walls, half alive, to die in the fields alone. We are not throwing hundreds of thousands of bodies into lakes because we cannot bury our dead. None of this means, of course, that what IS happening is what we should aspire to. Far from it. For the means that we have as a nation and a world, we can, and MUST do better.
But doing better can only be done incrementally now, in the middle of the crisis. We can search for opportunities for better care for threatened, immunosuppressed populations. We can make sure people have plenty of food, and employment security. Large-scale system overhaul is going to wait, whether it fits in with our aspirations or not.
And this is where ringing the bell can help. I am proposing a new way of understanding this pandemic, from a deeper structural memetic perspective. We have myriad information streams, that we associate with topical relevance. But these streams actually contain different structures, varying from simple to complex. Understanding their decomposition matters. How, for example does opening up turn into “only money for the rich” as opposed to “support for community business”? What’s the emotional content? How long did it take the complexity to dissolve into our boxes? I just read a paper on baseline memes by Ugo Bardi that looked at simple memetic fragments around Greta Thunberg. Maybe it’s time to get some better algorithmic thinkers than myself involved in quantification of these things.
There are other things to look at. One of the characteristics of nonlinear systems is that cycles of different frequency and wavelength are often coupled together through various nonlinear functions. In my past life, I did extensive analysis of bispectral and trispectral coupling of these types of systems. These types of analyses look at coupled phase lag between different parts, and creates a causal function between two dissimilar parts of a frequency spectrum coming out of an excitation like whacking the system with a hammer. So instead of a peak you see sitting on its own, in isolation, it turns out it’s actually tied to a bunch of other peaks. And if you push down on those other ones, the main one also starts to recede. The time scales are different, and the connection not immediately obvious. But you can still potentially affect the problem you’re focused on from a distance, in another system. That’s the big point here.
One can easily extend this in the information space to the COVID-19 meta-crisis. We are going to be awash with data of all sorts, in all fields, of events and their timing, and their effects on all of our different social systems. It could be a true transdisciplinary endeavor. Every discipline knows about how they collect information. Every discipline could give in a little to create quantification schedules for events and their timing, and watch the various trends rise and fall. It’s more complex AND complicated that just looking at a simple time series analysis that some moke like me might do on a simple mechanical system.
But it could suggest how we explore linkages, and create whole new, more enlightened fields of public policy. These are things that are going to demand rigor, of course. But considering we have such a poor understanding of even basic things — like how diet actually affects health outcomes, or even the way we think — it could be revelatory. Death is terrible — but it’s also hard data.
If there’s a path toward doing this, it’s got to start with understanding ourselves first. I’d argue we really need to understand the DeepOS of how we know on this blog, and look not just at our old, hidebound, and largely irrelevant models. The stereotypes of culture don’t hold up in a modern globalized world. We can look at knowledge structures, and we can start the process of quantizing much of the work that I’ve started on these virtual pages. Instead of constantly, chronically dividing and intersectionalizing, let’s look at ways of finding commonalities and meaningful differences between people. I read anthropology papers about tribal people in various parts of the worlds, along with the authors’ desperate attempts to generalize things seen at the tribal level in modern society. And while I am all down with a groundswell of support for human dignity, there are differentials that make it possible for people to build skyscrapers. We don’t understand that level of social organization at all. Or rather, we gloss over the fact that the effort may have changed us. Even though it clearly has — so let’s map both.
A glossary of concepts regarding nonlinear systems, applied to sociological concepts would also help. There’s a natural tendency in the liberal arts to deconstruct until one gets back to the same set of white guys. It’s all about giving credit, rather than creating insight. I totally believe in learning from the greats in the past. But there is a new complement of tool sets out there. We don’t insult the past giants by standing on their shoulders. I’d like to think they expected us to innovate as well. Correctly using nonlinear systems concepts would be a big step in the right direction. The field is literally only about 100 years old, a babe in the mathematical sense. Let’s do a reframe of our problems.
Finally, let’s not blow this opportunity. I hear lots of people talking about a ‘new normal’ — and the ‘new normal’ that people proposes looks a whole lot like the old normal, except more repressive. I see lots of bright possibilities in the future. But they are going to demand, across all our institutions, and especially the academy, changes toward connection and personal development. The endless fractionation isn’t working folks. It’s time for all of us to focus on growing our empathy.
A better and more rational world awaits. All because we got our bell rung.