
The Theory of Anything
By Bruce Nielson and Peter Johansen
David Deutsch argued that Quantum Mechanics, Darwinian Evolution, Karl Popper's Theory of Knowledge, and Computational Theory (aka "The Four Strands") represent an early 'theory of everything' be it science, philosophy, computation, religion, politics, or art. So we explore everything.
Support us on Patreon:
www.patreon.com/brucenielson/membership


Episode 108: AI and Obedience (with Dan Gish)

Episode 107: Was Popper a Fideist?
Here we discuss fidesim and critical rationalism. Fideism has many definitions, but at least how we are thinking of it, it is the idea that something like faith has validity in the process of moving closer to truth through reason.
Our starting point is a paper written by prominent Popperian Joseph Agassi about how William Bartley, another critical rationalist philosopher closely associated with Popper, had a falling out with Popper after he accused Popper of being a fideist, which Popper apparently did not consider a compliment. But was Bartley perhaps correct?
Note: we decided to cover this paper before we even realized it was about fideism which -- by pure dumb luck -- happened to be part of the topic of our last episode (#106: Karl Popper and God) where Bruce declared himself a Fideist. As such, episode #106 is not required listening, but you might find Popper's views on God and his views on epistemological fideism an interestingly interplay.

Episode 106: Karl Popper and God

Episode 105: Michael Levin's Unseen World of Cell Cognition

Episode 104: 3rd Way Evolution vs the Critics

Episode 103: Neo-Darwinism vs Post-Darwinism
This week we discuss neo-Darwinism vs post-Darwinism. Neo-Darwinism meaning a gene centric view of evolution, which is also called the great synthesis since it unifies natural selection with genetics and paleontology and perhaps even human psychology.
Post-Darwinism is a view that emphasizes factors outside random mutation, like epigenetics or the assertion that organisms and cells can alter their own genome in a beneficial way.
Here Bruce specifically concentrates on the work of biologist James Shapiro’s critical look at Richard Dawkins’ neo-Darwinism.We consider, does it really make sense to see our bodies and minds as tools governed by our masters DNA? Does post-Darwinism, also called “third way evolution,” offer a meaningful alternative to both neo-Darwinism and the theism of intelligent design? Does this way of looking at biology say something about the very nature of reality and the laws of physics?
This is part 1 of a loose series. Part 2 will cover criticisms of Noble and Shapiro. Part 3 will cover the work of Michael Levin. However, you don't really need to listen to them in order and we provide context each time.

Episode 102: Is IQ a Bit Scientifically Valid?
This time we discuss Nassim Nicholas Taleb's article "IQ is Largely a Pseudoscientific Swindle" -- a title whose compliment is that he's claiming IQ is a bit scientifically valid. But which bits does he claim are valid?
We use this article as a springboard to consider: Do the numbers produced by an IQ test say something meaningful or useful about human minds? Would these tests be better off in the dustbin of history? Are they ever useful? And is there overlap between Taleb's take on IQ and the negative view of these tests held by many critical rationalists? What does Taleb agree (or disagree) with CritRats over when it comes to IQ?

Episode 101: Wolfram, Rucker, and the Computational Nature of Reality

Episode 100: Interview with David Deutsch

Episode 99: Critical Rationalism and Solipsism

Episode 98: Objectively Beautiful Flowers?
This week we discuss the chapter “Why are Flowers Beautiful?” from the book Beginning of Infinity by David Deutsch. Through our discussion we consider: Does relativism make any sense? Is preferring Mozart to a child banging on a piano really just an arbitrary preference? If progress in art is real, will human minds ever stop increasing the level of beauty in the world? Are humans more objectively beautiful than other species? (And are women more beautiful than men?) Is music “cheesecake for the ears,” as Steven Pinker puts it? And is cheesecake itself even “cheesecake for the mouth”? Is progress in science also intertwined with aesthetic progress?

Episode 97: Karl Popper On Conservatism in Music (w/Chris Johansen)

Episode 96: Kenneth Stanley on the Pursuit of What’s Interesting
Here we interview AI researcher Kenneth Stanley, who makes the case that in complex systems, pursing specific objectives can actually be counterproductive. Instead, whether in machine learning, business, science, education, or art, we should pursue what is interesting. It is in this search for novelty—fueled by curiosity—where innovation and open-ended knowledge creation occurs.
Get Ken's book!
Why Greatness Cannot Be Planned: The Myth of the Objective Also:
- Can Bruce find a counter example to Ken's thesis?
- How does one 'detect novelty' using an algorithm?
- Is creativity really a search algorithm?

Episode 95: On Morality, Moralizing, and Elephant Jockeys (Round Table)

Episode 94: Stephen Hicks on Critical Rationalism vs Objectivism
This episode we interview Professor of Philosophy Stephen Hicks. In his excellent books Explaining Postmodernism and Nietzsche and the Nazis it becomes clear that the history of bad and good ideas—which he sees through the lens of Enlightenment and counter-Enlightenment philosophers—is more than an academic issue but something with monumental importance for human life and prosperity.
Rather than focus on this aspect of his work, which is widely known, we thought we’d ask him questions on epistemology, focusing on contrasting critical rationalism and objectivism.

Episode 93: Philosophical Theories vs Bad Explanations
Can philosophical theories be refuted? What is a bad explanation? Can all theories be made more empirical?
In search of an answer to these questions, Bruce takes a deep dive into what he believes is the correct way to apply “Popper’s ratchet” to metaphysical or philosophical theories. Along the way, Bruce puts forward a generalization of testability he calls “checkability” and explains why “vague-maning” our theories is “worse than dogmatism.”

Episode 92: Popper on Philosophical Theories
Continuing from episode 91, we continue our deep dive into Popper's Conjectures and Refutations Chapter 8 where Popper explains how to use his epistemology on philosophical theories that (by definition) can't be 'refuted'.
Despite agreeing with most of Popper's specific arguments, we offer some considerable criticisms to Popper's approach to criticizing philosophical theories -- particularly to Popper's criticisms of the theory of Determinism which is a 'best theory' by any fair standard but Popper (incorrectly) thought was false.
Bruce argues that Popper's approach in C&R Ch. 8 is problematic because it opens the 'Crit Rat Loophole', which is a common way CritRats interpret Popper that allows any preferred theory to be declare a 'best theory' based on the scantest of criticisms.
Bruce argues that Chapter 8 of C&R fails in this important regard because it doesn't give a good answer to the question "How does one tell the difference between a good philosophical explanation and a bad explanation?"

Episode 91: The Critical Rationalist Case For Induction!?
Forgive the clickbait title. The episode should probably actually be called "The (Lack of) Problem of Induction" because we primarily cover Popper's refutation of induction in C&R Chapter 8.
This episode starts our deep dive into answering the question "What is the difference between a good philosophical explanation and a bad explanation?"
To answer that question we go over Karl Popper's "On the Status of Science and of Metaphysics" from his book Conjectures and Refutations Chapter 8. In this chapter Popper first explains why he believes 'there is no such thing as induction' (from page 18 of Logic of Scientific Discovery) by offering his historical and logical refutation of induction.
In this episode we go over Popper's refutation of induction in chapter 8 of C&R in detail and then compare it to Tom Mitchell's (of Machine Learning fame) argument of the 'futility of bias free learning.' We show that Mitchell's and Popper's arguments are actually the same argument even though Mitchell argues for the existence of a kind of induction as used in machine learning.
Bruce argues that the difference is not a conceptual or theoretical difference but just a difference in use of language and that the two men are actually conceptually fully in agreement. This makes machine learning both a kind of 'induction' (though not the kind Popper refuted) and also gives machine learning an interesting and often missed relationship with critical rationalism.
Then Bruce asks the most difficult question of all: "Is there anyone out there in the world other than me that is interested in exploring how to apply Karl Popper's epistemology to machine learning like this?"
You can find a copy of Mitchell's text here if you want to check out his argument for the futility of bias free learning for yourself.
As I mention in the podcast, I'm shocked Critical Rationalists aren't referencing Mitchell's argument constantly because it is so strongly critical rationalist in nature. But the whole textbook is just like this.

Episode 90: Bayesianism for Critical Rationalists!?
Today our guest Ivan Phillips methodically explains what Bayesianism is and is not. Along the way we discuss the validity of critiques made by critical rationalists of the worldview that is derived from Thomas Bayes’s 1763 theorem.
Ivan is a Bayesian that is very familiar with Karl Popper's writings and even admires Popper's epistemology. Ivan makes his case that Bayesian epistemology is the correct way to reason and that Karl Popper misunderstood some aspects of how to properly apply probability theory to reasoning and inference. (Due in part to those theories being less well developed back in Popper's time.)
This is a video podcast if you watch it on Spotify. But it should be consumable as just audio. But I found Ivan's slides quite useful.
This is by far the best explanations for Bayesianism that I've ever seen and it does a great job of situating it in a way that makes sense to a critical rationalist like myself. But it still didn't convince me to be a Bayesian. ;)

Episode 89: Tradition as a Source of Knowledge: Popper vs. Chesterton

Episode 88: The Myth of the Objective
Here Bruce reflects on AI researcher Kenneth Stanley’s assertion that setting specific, measurable goals may actually hinder discovery and innovation, which he writes about in his book, Why Greatness Cannot Be Planned: The Myth of the Objective. How does Stanley’s insight relate to critical rationalism, education, and life in general?
We cover topics including:
- Why are objective sometimes misleading?
- When are objectives appropriate and when are they misleading?
- How did Stanley and his team discover the problems with objectives?
- How does this relate to the problem of open-endedness?
- How did he implement a program to explore alternatives? What was the result?
- What are implications for AI/AGI, scientific research, and education?
- How does these theories relate to Darwinian evolution and Popperian epistemology?
- Are natural selection and biological evolution the same thing?
- How important is 'selection' to knowledge creation?
Follow us on Twitter: https://x.com/bnielson01

Episode 87: Is the Universal Explainer Hypothesis Falsifiable?

Episode 86: Fuzzy Categories, Essentialism, and Epistemology (Hofstadter Part 2)

Episode 85: Critical Rationalism and Douglas Hofstadter (Part 1)

Episode 84: Are Video Games Harmful to Children?
Here we discuss a 1992 interview with David Deutsch where he makes the case that video games are inherently educational, not addictive, and that children should not be stopped from playing as much as they want. We contrast the view of humans, science, and knowledge promoted there by David Deutsch with the more pessimistic view of thinkers such as Jonathan Haidt today. Bruce and Peter reflect on their own mixed feelings on this issue both as critical rationalists and parents.
David Deutsch on video games: https://takingchildrenseriously.com/video-games-a-unique-educational-environment/
Peter briefly quotes from this recent article by Jonathan Haidt: https://www.thefp.com/p/jonathan-haidt-worried-about-the-boys-too
Follow us on Twitter: https://twitter.com/bnielson01

Episode 83: Popper's Second Axis (aka Bruce's Epistemology?)

Episode 82: Popper's Ratchet
In an episode that may (or may not) be his magnum opus, Bruce introduces his term for Karl Popper’s idea that you are only allowed to solve problems with your (scientific) theory by making it more empirical, not less empirical.
Bruce makes the case that this is one of Karl Popper’s least appreciated ideas, as all of us are tempted by ad hoc saves that move our ideas in the direction of vagueness.
Bruce also considers where conjectures come from and if Popper thought there existed a scientific method.

Episode 81: Easy to Varyness vs Ad Hocness
Bruce sympathetically critiques David Deutsch’s concept of “easy to varyness” as a way to judge our explanations.
Are our best theories about reality truly hard to vary? Bruce makes the case that Popper’s concept of “ad hocness” may be a strangely interwoven concept.
Along the way we get deeper into whether Popperian epistemology is best seen as an attitude or a methodology.

Episode 80: Knowledge vs. Simul-Knowledge
Bruce wraps up his epic 6 part series on knowledge and the 'two sources hypothesis' (i.e. Deutsch's theory that all 'knowledge' comes from only two sources: Biological evolution and human minds).
What happens if we take all the non-two sources examples of 'adapted information that cause itself to remain so' (e.g. the walking robot, the immune system, trade secrets, animal learning, animal memes, etc.) and give them their own theory distinct from the theory of 'knowledge'? Sort of like a theory of "a simulacrum of knowledge" (to uses Deutsch's own term) or "Simul-Knowledge" for short.
This turns out to be remarkably easy: you just take the constructor theory of knowledge without any implicit additional criteria. Doing this has immediate profound implications that impact how we see and understand Deutsch's theory of knowledge.
Like to a version of the drawing Bruce refers to throughout the episode.

Episode 79: Perspiration vs Inspiration
Is human creativity algorithmic? What is the difference between an Inspiration and a perspiration algorithm? Can mechanical processes ever create knowledge? What is the relationship between creativity and explanation? If we had the 'inspiration' algorithm today, would it use perspiration? Here Bruce continues his exploration of these issues and more.

Episode 78: Are Animal Memes Knowledge In the Genes?
Do animals create knowledge? Deutsch claims they don't because all their knowledge is in their genes. Yet he admits that animals do have memes! But aren't memes, by definition, knowledge outside the genome? How does Deutsch attempt to deal with these problems with his theory of knowledge? And how well do his arguments hold up?

Episode 77: Counter Examples To Deutsch's Theory of Knowledge?
Bruce continues to consider what our best theories tell us about knowledge. Is there something special (or even physically different) about the knowledge created by nature through biological evolution and human minds (i.e. the 'two sources hypothesis')? How should we think about knowledge created in human minds that could take us to the moon and beyond or divert an asteroid? Is it physically different from the kind of adapted information created by animals or the immune system? Or does it merely a broader and deeper search for solutions?
Along the way, he delves into machine learning, animal behavior, the immune system, trade secrets, robots, and many other concepts related to David Deutsch’s ideas about knowledge but are outside the 'two sources' and thus not considered 'knowledge' by David Deutsch.

Episode 76: The Constructor Theory of Knowledge
In the previous episode, Bruce pointed out an apparent contradiction between Deutsch's criteria for knowledge as 'adapted information that causes itself to remain so' and his example of the 'walking robot algorithm' which is a case of adapted information causing itself to remain so but that Deutsch doesn't consider to be knowledge.
This time we consider if we can eliminate the 'walking robot algorithm' from being considered 'knowledge' using Deutsch's and Marletto's Constructor Theory of Knowledge.
Does the Constructor Theory of Knowledge save the 'two sources hypothesis'? (i.e. the hypothesis that there are only two sources of knowledge: biological evolution and human ideas)

Episode 75: Deutsch's Theory of Knowledge: The Walking Robot
What is the “two sources hypothesis,” or the idea that there exist only two sources of knowledge in the known universe: Darwinian natural selection and human minds? Does a “genetic programming algorithm” used to make a robot walk create knowledge?
Thus begins our deep dive into Deutsch's Theory of Knowledge and particularly his "Two Source Hypothesis." Bruce hints that this is leading towards an investigation into the difference between a non-testable (or philosophical) explanation and a bad explanation as our series on knowledge continues.

Episode 74: The Problem of Open-Endedness
What is the “problem of open-endedness”? Bruce explores how what might sound like an esoteric machine-learning issue may actually be interwoven with our deepest theories on evolution, human consciousness, and knowledge creation.
Also included: Bruce's guide to how NOT to argue with a Creationist.
References:
- Kenneth Stanley's article: "Open-endedness: The last grand challenge you’ve never heard of"
- The Beginning of Infinity by David Deutsch
- Probably Approximately Correct: Nature's Algorithms for Learning and Prospering in a Complex World by Leslie Valiant

Episode 73: Argue Me Everything
Here we move three arguments from social media to the podcast. 1. Given Deutsch’s universal explainer hypothesis, does it make sense to say that men commit more crimes due to testosterone? Are humans only 'approximately' Universal Explainers? 2. Can anything in reality be simulated? What exactly does it mean to be simulated? 3. Is “heat death” a bummer? What would Conan the Cimmerian say?

Episode 72: Moral Progress and Tolerance for Intolerance
Here we use Nassim Nicholas Taleb’s essay “The Most Intolerant Wins: The Dictatorship of the Small Minority” as a springboard to discuss majority rule, moral progress, knowledge growth, wokism, Karl Popper’s paradox of tolerance, and “big agriculture.”

Episode 71: Can Values be Objective?
With guest Ivan Phillips, we discuss and debate subjective vs objective morality. Does the concept of objective morality ever make sense given “Hume’s guillotine”? Can humans ever really live as though morality is subjective? Along the way, we take detours into Bayesian epistemology vs critical rationalism.

Episode 70: Sparks of Artificial General Intelligence?
How does ChatGPT really work? Is there a relationship between a program like ChatGPT and artificial general intelligence (AGI)?
This time we review the famous paper "Sparks of Artificial General Intelligence: Early Experiments with GPT-4" from Microsoft Research as well as Melanie Mitchell's criticisms of it.
Other papers mentioned:
- The Unreasonable Effectiveness of Recurrent Neural Networks (2015)
- GPT-4 Technical Report (2023)
- Language Models are Few-Shot Learners (2020)

Episode 69: Social Science and Critical Rationalism
This week we have criminologist Brian Boutwell on again for part 2 of our discussion on critical rationalism and social science. Does all science share the same structure? How do you apply Popper's epistemology to social sciences? Are there laws of human nature? If humans are universal explainers, what does it mean to study our behavior?
See episode 68 for a summary of Caldwell's "Clarifying Popper" that we discuss.

Episode 68: Caldwell's "Clarifying Popper"

Episode 67: Disagreements with Deutsch
Though our guest Mark Biros is clearly immersed in critical rationalism and the worldview of Popper and Deutsch, he also has some fairly strong criticisms of some of the ideas popular in what could be called the CritRat community. Here we try to work out our differing ideas on environmentalism, epistemology, quantum mechanics, social media, optimism, monarchies, cults, human extinction, and more.

Episode 66: The Alien Abduction of Betty and Barney Hill and the Search For Meaning
Historian Matt Bowman discusses his new book, The Abduction of Betty and Barney Hill: Alien Encounters, Civil Rights, and the New Age in America. Betty and Barney Hill were one of the first and most famous persons who claimed to be abducted by aliens. Aside from being a story about UFOs, their life story hinges on a complicated relationship with religion, race, politics, science, and psychology in America in the 50s and 60s.

Episode 65: Causality, Time, and Free Will
What did David Deutsch get right and wrong in chapter 11, “Time: The First Quantum Concept,” from his first book, Fabric of Reality? Is the flow of time real or an illusion? What does it mean to have free will in a deterministic world? And what are the implications of Bruce’s “Turing world within a Turing world” thought experiment?

Episode 64: What is a "Refutation"?
What did Karl Popper really mean by refutation? How are empirical theories special? How do objective criticisms differ from subjective criticisms? What is the difference between a theory and an explanation? We consider these questions with a tangent into the theory that animals don’t have feelings.

Episode 63: Brian Boutwell on Twin Studies and Heritability

Episode 62: Aliens!?!?
Is the government hiding a secret UFO recovery program? What should the critical rationalist attitude be towards these kinds of claims? Why exactly would aliens want to hide from us? We discuss these questions and much more.
If you missed it, be sure to check out the congressional hearings on UFOs (UAPs). It was actually quite interesting.
Mick West's video criticizing the theory that aliens are behind all this.

Episode 61: A Critical Rationalist Defense of Corroboration
What did Popper say about corroboration in science? Can a theory NEVER be supported with evidence in any sense at all? Is the Popperian “war on words” justified? Are the positivists, Bayesianists, verificationists, and inductivists really wrong about EVERYTHING?

Episode 60: Learning, Work, and Art in the Age of ChatGPT
We interview Bruce’s nephew, Brendon Nielson, who is a well-known electronic music artist under the name Dvddy. We discuss how he uses AI as a tool to create music and how this technology is changing how we work and learn. Could AI liberate us from menial labor and education? Along the way, Cameo makes an AI-generated comic book about David Deutsch.

Episode 59: The Principle of Optimism (Round Table Discussion)
A deep dive into David Deutsch’s “principle of optimism” featuring Sam Kuypers, Vaden Masrani, Hervé Eulacia, Micah Redding, Bill Rugolsky, and Daniel Buchfink. (Plus, of course, Peter and Bruce). Are all evils due to a lack of knowledge? Are all interesting problems soluble? ALL the problems, really?!?! And what exactly is meant by interesting? Also, should “good guys” ignore the precautionary principle, and do they always win? What is the difference between cynicism, pessimism, and skepticism? And why is pessimism so attractive to so many humans?