The Russel Conjugation

Eric R. Weinstein on The Russel Conjugation:

The basic principle of Russell Conjugation is that the human mind is constantly looking ahead well beyond what is true or false to ask “What is the social consequence of accepting the facts as they are?”  While this line of thinking is obviously self-serving, we are descended from social creatures who could not safely form opinions around pure facts so much as around how those facts are presented to us by those we ape, trust or fear. Thus, as listeners and readers our minds generally mirror the emotional state of the source, while in our roles as authoritative narrators presenting the facts, we maintain an arsenal of language to subliminally instruct our listeners and readers on how we expect them to color their perceptions. Russell discussed this by putting three such presentations of a common underlying fact in the form in which a verb is typically conjugated:

  • I am firm. [Positive empathy]
  • You are obstinate. [Neutral to mildly negative empathy]
  • He/She/It is pigheaded.  [Very negative empathy]

In all three cases, Russell was describing people who did not readily change their minds. Yet by putting these descriptions so close together and without further factual information to separate the individual cases, we were forced to confront the fact that most of us feel positively towards the steadfast narrator and negatively towards the pigheaded fool, all without any basis in fact.

…If we accept that Russell Conjugation keeps us from even seeing that we do not hold consistent opinions on facts, we see a possible new answer to a puzzle that dates from the birth of the web: “If the internet democratized information, why has its social impact been so much slower than many of us expected?” Assuming that our actions are based not on what we know but upon how we feel about what we know, we see that traditional media has all but lost control of gate-keeping our information, but not yet how it is emotively shaded. In fact, it is relatively simple to write a computer program to crawl factually accurate news stories against a look-up table of Russell conjugates to see the exact bias of every supposedly objective story.

Thus the answer to the puzzle of our inaction it seems may be that we built an information superhighway for all, but neglected to build an empathy network alongside it to democratize what we feel.”

https://www.edge.org/response-detail/27181

Seven Moral Rules Found All Around the World

These seven moral rules – love your family, help your group, return favors, be brave, defer to authority, be fair, and respect others’ property – appear to be universal across cultures.

Source: Seven Moral Rules Found All Around the World – The Evolution Institute

Taylor Pearson on Procrastination

Taylor Pearson really has become a fine essayist. This one on procrastination was packed with wisdom:

“Whenever you feel that some situation or some person is ruining your life, it is actually you who are ruining your life… feeling like a victim is a perfectly disastrous way to go through life. If you just take the attitude that however bad it is in any way, it’s always your fault and you just fix it as best you canâ – the so-called “iron prescription” – I think that really works.” Charlie Munger

In his letter to shareholders back in 2016, Jeff Bezos gave the best advice I’ve ever heard on how to stop procrastinating:

“Most decisions should probably be made with somewhere around 70% of the information you wish you had. If you wait for 90%, in most cases, you’re probably being slow. Plus, either way, you need to be good at quickly recognizing and correcting bad decisions. If you’re good at course correcting, being wrong may be less costly than you think, whereas being slow is going to be expensive for sure.”

What Bezos is saying is that you should think like a C student. When you’re about 70% sure, you take a guess and see what happens.

Colin Powell has a similar rule for how to stop procrastinating. You should make a decision when you have between 40% and 70% of the possible information. He believes that with less than that, you are bound to make a wrong decision.

However, if you keep looking for information beyond 70%, then by the time you make the decision, it will be so late that you will have missed the opportunity.

…Use the formula P=40 to 70, in which P stands for the probability of success and the numbers indicate the percentage of information acquired…Once the information is in the 40 to 70 range, go with your gut.

…Courage is the Cure for Procrastination

In his account of an expedition into the Himalayas in the 1930’s, explorer William Hutchison Murray put it this way:

“… but when I said that nothing had been done I erred in one important matter. We had definitely committed ourselves and were halfway out of our ruts. We had put down our passage money — booked a sailing to Bombay. This may sound too simple, but is great in consequence. Until one is committed, there is hesitancy, the chance to draw back, always ineffectiveness. Concerning all acts of initiative (and creation), there is one elementary truth, the ignorance of which kills countless ideas and splendid plans: that the moment one definitely commits oneself, then Providence moves too.”

William Hutchinson Murray, The Scottish Himalayan Expedition (1951)

Learn, Build, Share, Repeat

“In my office, on a wall converted to a massive whiteboard, I’ve written “Learn, Build, Share, Repeat” in large letters. I think of this as both a mission and as an operating manual.

Learn” means always keep pushing to understand what you don’t already know, because as Isaac Asimov wrote, past glories are poor feeding. The moment you feel like you’ve won, or that you’ve got it all figured out, you are dead.

Build” is a forcing function. Words like “write,” “create,” or “teach” work here as well. If you force yourself to transform what you’ve learned into something that is your own, then you’ve really learned. You’ve also made something that can serve others.

Share” means connection. Sharing openly and transparently creates a feedback loop which accelerates learning and improves whatever it is you are building. It also creates a community of like-minded people with similar values and curiosities.

Repeat” emphasizes that this is a game which is never complete. This isn’t about accomplishments, goals, or endpoints. It is a romance with the process itself.

Patrick O’Shaughnessy in his “Investor Field Guide” newsletter

Moral Foundations Theory

I was just reminded of Jonathan Haidt’s Moral Foundations Theory, something I first encountered in The Righteous Mind.

Moral Foundations Theory was created by a group of social and cultural psychologists to understand why morality varies so much across cultures yet still shows so many similarities and recurrent themes. In brief, the theory proposes that several innate and universally available psychological systems are the foundations of “intuitive ethics.” Each culture then constructs virtues, narratives, and institutions on top of these foundations, thereby creating the unique moralities we see around the world, and conflicting within nations too. The five foundations for which we think the evidence is best are:

1) Care/harm: This foundation is related to our long evolution as mammals with attachment systems and an ability to feel (and dislike) the pain of others. It underlies virtues of kindness, gentleness, and nurturance.

2) Fairness/cheating: This foundation is related to the evolutionary process of reciprocal altruism. It generates ideas of justice, rights, and autonomy. [Note: In our original conception, Fairness included concerns about equality, which are more strongly endorsed by political liberals. However, as we reformulated the theory in 2011 based on new data, we emphasize proportionality, which is endorsed by everyone, but is more strongly endorsed by conservatives]

3) Loyalty/betrayal: This foundation is related to our long history as tribal creatures able to form shifting coalitions. It underlies virtues of patriotism and self-sacrifice for the group. It is active anytime people feel that it’s “one for all, and all for one.”

4) Authority/subversion: This foundation was shaped by our long primate history of hierarchical social interactions. It underlies virtues of leadership and followership, including deference to legitimate authority and respect for traditions.

5) Sanctity/degradation: This foundation was shaped by the psychology of disgust and contamination. It underlies religious notions of striving to live in an elevated, less carnal, more noble way. It underlies the widespread idea that the body is a temple which can be desecrated by immoral activities and contaminants (an idea not unique to religious traditions).

We think there are several other very good candidates for “foundationhood,” especially:

6) Liberty/oppression: This foundation is about the feelings of reactance and resentment people feel toward those who dominate them and restrict their liberty. Its intuitions are often in tension with those of the authority foundation. The hatred of bullies and dominators motivates people to come together, in solidarity, to oppose or take down the oppressor. We report some preliminary work on this potential foundation in this paper, on the psychology of libertarianism and liberty.

See also https://en.wikipedia.org/wiki/Moral_foundations_theory

When Liberalism Stops Being Liberal

liberalism.png

View story at Medium.com

Interesting series on Medium.

  • Identity Politics – Left, right, and the making of Trump’s America
  • Political Correctness – The tyranny of “PC culture” is real — and a threat to liberal society
  • Big Government – Slouching toward illiberalism
  • Campus Censorship – The purpose of higher education and why and how it is censored
  • Free Speech in a Global Context – Dangerously illiberal trends in liberal societies
  • Religious Liberty – The right to religious belief and expression is of first importance to a free society
  • Education – School choice both manifests and strengthens the liberal order

Warnings: Return of The Long Emergency

warnings

James Kunstler’s 2005 book “The Long Emergency” made a huge impression on me when I read it in 2006. In fact, it was one of the reasons I found myself pursuing a career in cloud computing in 2007. Partly thanks to this book and a former boss from British Telekom, my business partner and I were convinced that peak oil and climate change would create a huge demand for energy efficient, carbon neutral compute resources, and cloud computing was the future.

The Long Emergency was primarily concerned with America’s oil addiction and ill-preparedness for what looked at the time to be the coming energy (oil) shock, but it also examined other threats to civilization:

  • Climate Change
  • Infectious diseases (microbial resistance)
  • Water scarcity
  • Habitat destruction
  • Economic instability
  • Political extremism
  • War

Every one of those is still an enormous threat.

A new book by national security veteran Richard Clarke and R.P Eddy called “Warnings: Finding Cassandras to Stop Catastrophes” updates The Long Emergency with some new features of the threat landscape.

The book starts off by asking how we can reliably spot Cassandras – people who correctly predict disasters but who were not heeded – so that we can prevent future disasters.

They examine recent disasters – like 9/11, the Challenger space shuttle disaster and Hurricane Katrina, then examine the people who predicted these events, looking or patterns. They come up with some stable characteristics that allow us to score people on their Cassandra Quotient.

The second part of the book looks at current threats, and their doomsayers, to see if any have a high Cassandra Quotient and thus should be heeded.

The threats are:

  • Artificial Intelligence
  • Pandemic Disease
  • Sea-Level Rise
  • Nuclear Ice Age
  • The Internet of Everything
  • Meteor Strike
  • Gene Editing (CRISPR)

The bad news is that they all have high Cassandra Quotients and the scenarios in the book are plausible, science-backed and terrifying.

Artificial Intelligence as a threat hs been on my radar for a year or so thanks to Elon Musk, Bill Gates, Stephen Hawkins and Sam Harris warning of the risks of intelligent machines that can design and build ever moire intelligent machines.

Pandemic Disease has worried me since reading The Long Emergency, but I thought there had been better global awareness, especially since the world took the 2011 flu scare seriously, and Ebola and Zika.  Unfortunately, we are – as a planet – woefully ill-prepared for a global pandemic. A high fatality airborne flu could kill billions.

Sea-Level Rise genuinely surprised me, especially since the Cassandra in question – James Hansen – predicted the current melting and ice shelf break-offs we see in the Arctic today…30 years ago. I even googled how high my home is above sea level after being convinced we could see 7m rises within my lifetime.

As a child of the 70’s and 80’s, nuclear horror is deeply embedded in my psyche. But I thought the risk of a Nuclear Ice Age was a pretty low risk. It turns out you do not need a large-scale nuclear exchange between the US and Russia to cause global climate chaos. A limited exchange between India and Pakistan could be sufficient to kill billions though global starvation. I was also surprised to learn that Pakistan moves its nuclear arsenal around to thwart attacks my Indian commandos in the event of a war. This raises the risk of terrorists intercepting on of these weapons on the move, and using it for nuclear terrorism.

The book does a good job of examining the incredible fragility of out interconnected IT systems in the chapter on The Internet of Everything. As an IT professional I know the reality of how fragile these systems are and we are right to be scared of dire consequences of a serious cyber war.

I do not really think about Meteor Strikes, as there is little we can do about them and they are now part of popular culture.

The final worry in the book is about Gene Editing, especially CRISPR. CRISP has absolutely marvelous potential, but it also has many people worried. Daniel Saurez even has a new book on the topic called “Change Agent“. CRISPR is could be the mother of all second order effects. Take “off target events” for example:

Another serious concern arises from what are known as off-target events. After its discovery, researchers found that the CRISPR/Cas9 complex sometimes bonds to and cuts the target DNA at unintended locations. Particularly when dealing with human cells, they found that sometimes as many as five nucleotides were mismatched between the guide and target DNA. What might the consequences be if a DNA segment is improperly cut and put back together? What sorts of effects could this cause, both immediately and further down the road for heritable traits? Experimenting with plants or mouse bacteria in a controlled laboratory environment is one thing, but what is the acceptable level of error if and when researchers begin experimenting with a tool that cuts up a person’s DNA? If an error is in fact made, is there any potential way to fix the mistake?

So we have planet-scale problems, ingenious solutions. Instead of feeling paralysis or resignation we should accept Peter Thiel’s challenge to find the big breakthroughs, 0 to 1 intensive progress:

Progress comes in two flavors: horizontal/extensive and vertical/intensive. Horizontal or extensive progress basically means copying things that work. In one word, it means simply “globalization.” Consider what China will be like in 50 years. The safe bet is it will be a lot like the United States is now. Cities will be copied, cars will be copied, and rail systems will be copied. Maybe some steps will be skipped. But it’s copying all the same.

Vertical or intensive progress, by contrast, means doing new things. The single word for this is “technology.” Intensive progress involves going from 0 to 1 (not simply the 1 to n of globalization). We see much of our vertical progress come from places like California, and specifically Silicon Valley. But there is every reason to question whether we have enough of it. Indeed, most people seem to focus almost entirely on globalization instead of technology; speaking of “developed” versus “developing nations” is implicitly bearish about technology because it implies some convergence to the “developed” status quo. As a society, we seem to believe in a sort of technological end of history, almost by default.

It’s worth noting that globalization and technology do have some interplay; we shouldn’t falsely dichotomize them. Consider resource constraints as a 1 to n subproblem. Maybe not everyone can have a car because that would be environmentally catastrophic. If 1 to n is so blocked, only 0 to 1 solutions can help. Technological development is thus crucially important, even if all we really care about is globalization.

…Maybe we focus so much on going from 1 to because that’s easier to do. There’s little doubt that going from 0 to 1 is qualitatively different, and almost always harder, than copying something times. And even trying to achieve vertical, 0 to 1 progress presents the challenge of exceptionalism; any founder or inventor doing something new must wonder: am I sane? Or am I crazy?

From Blake Masters notes

 

 

Effective Theory

I was reminded of this concept of Effective Theory in an article on Economics by Arnold King.  Heren it is explained by Harvard physicist Lisa Randall:

Effective theory is a valuable concept when we ask how scientific theories advance, and what we mean when we say something is right or wrong. Newton’s laws work extremely well. They are sufficient to devise the path by which we can send a satellite to the far reaches of the Solar System and to construct a bridge that won’t collapse. Yet we know quantum mechanics and relativity are the deeper underlying theories. Newton’s laws are approximations that work at relatively low speeds and for large macroscopic objects. What’s more is that an effective theory tells us precisely its limitations — the conditions and values of parameters for which the theory breaks down. The laws of the effective theory succeed until we reach its limitations when these assumptions are no longer true or our measurements or requirements become increasingly precise.

Kind writes:

Whereas the term “science” often is used to connote absolute truth in an almost religious sense, effective theory is provisional. When we are certain that in a particular context a theory will work, then and only then is the theory effective.

Effective theory consists of verifiable knowledge. To be verifiable, a finding must be arrived at by methods that are generally viewed as robust. Any researcher who tries to replicate a finding using appropriate methods should be able to confirm it. The strongest confirmation of the effectiveness of a theory comes from prediction and control. Lisa Randall’s example of sending a spacecraft to the far reaches of the solar system illustrates such confirmation.

LARPing

“For employees (campaign staff), there is an opportunity for live-action roleplaying (LARPing) disruption instead of actually taking the existential risks of disrupting. LARPing disruption is fun..Don’t mistake LARPing disruption for the real thing.Venkatesh Rao on “Software Adoption Bullshit” via Ribbonfarm newsletter

“The High Modernists claimed to be about figuring out the most efficient and high-tech way of doing things, but most of them knew little relevant math or science and were basically just LARPing being rational by placing things in evenly-spaced rectangular grids.” Review of “Seeing Like A State” by Scott Alexander

I first internalized the meaning of this phrase when I saw it in the Ribbonfarm newsletter above.

LARPing suddenly crystallized and gave a name to a phenomenon I have witnessed my whole life: people playing roles as though they were in a solipsistic theater, rather than living their roles.

LARPing is common amongst the wealthy, where dilettantism is endemic. I know of entire companies that exist merely to provide a realistic LARPing set for someone to play CEO / Founder, with sometimes hundreds of employees cast as actors in their personal drama.

It reminds me of the old vituperative “poseur“, but LARPing is more collaborative. You need a cast to play along. It is group or collective posing.