Natural Reward Podcast

Illegal dumping is a widespread problem in cities throughout the world and differentially affects disadvantaged neighborhoods.  Brian Johnson is a software engineer who moved to San Francisco nearly a decade ago. At the time, Brian could afford a house only in the least-expensive neighborhood, Bayview. Despite hopes for improvement, over time Bayview declined because of an illegal dumping problem.  To protect his children, Brian started brainstorming ways to solve this problem. The problem is difficult because dumping laws are difficult to enforce and people can easily get away with the crime.  Brian's solution was to automate drones to fly in grid-like patterns, take photos of a neighborhood, instantly recognize trash heaps using artificial intelligence (AI), and automatically report the locations of the trash piles to 311.  Brian tested many different types of AI and programmed the drones to automatically report trash heaps. This resulted in major improvements in his neighborhood, recognized by neighbors and by Brian's own tests. However, Brian is still seeking to scale up his project to help other neighborhoods and cities and seeks funding for the project.  Brian, who has a law degree and specialized in intellectual property, also wrote a patent for his system, not to prevent other people from doing this, but to prevent other people from preventing him from doing it.  Brian's solution leads to more unbiased was of reporting trash piles that can yield more equitable outcomes. Otherwise, city trash collectors may be called to affluent neighborhoods more often. Brian shows a number of photos taken by his drone in the video and explains how he trains the artificial intelligence to recognize trash heaps.  Brian has applied for an NSF grant and to join Y Combinator.

In this episode, Jon and I discuss some of the background to the previous episode. We discuss generalized versions of Hamilton's rule, Fisher's fundamental theorem, and Wright's fitness maximization formula. W. D. Hamilton used Sewall Wright's formula as the foundation of the theory of inclusive fitness. We discuss Wright's shifting balance theory and the role that Wright's formula played in his theory. We also discuss the difference between Wright's rendition of Fisher's fundamental  theorem and Fisher's formula. We compare the progress of social theory to a telephone game. Finally, Jon explains why we might need the equivalent of "poll requests" when it comes to debugging the software of social evolution.

In this episode, my brother Jon and I discuss my work on the evolution of kin recognition. Jon is a software engineer and likes to put my arguments in terms of debugging software. For many years, the mere finding of kin recognition in nature was taken as prima facie evidence of W. D. Hamilton's theory of "inclusive fitness." A large paradigm was built on the teleological assumption that kin recognition is evidence of the final cause of "inclusive fitness maximization."  A major anomaly to this paradigm called "Crozier's paradox," analogous to a software bug, suggested that kin recognition could not evolve for directing altruism to kin.  When I finally resolved Crozier's paradox almost 30 years after it first appeared, the implications were extremely disruptive. As Jon would put it, much of the "software" of social evolution came to depend on the assumptions that led to Crozier's paradox. By questioning these assumptions, my theory implied that social evolutionists had misunderstood the adaptive basis of kin recognition, incorrectly tested Hamilton's rule, and misinterpreted Darwinism. Particularly, social evolutionists had misinterpreted Darwin's theory as teleological and tried to justify this teleology with generalized mathematical equations, like inclusive fitness or generalized versions of Hamilton's rule. Jon and I discuss how that theorists rejected my work because it did not conform to their prior expectations about what "general theory" is supposed to be, even though it yielded novel predictions for the genetics and evolution of kin recognition that were upheld by 50 years of evidence. We end this podcast with a brief discussion of the differences between scientific peer review and open software forums that allows "bugs" to persist in science. This episode is essential listening for anyone who wants to know what is wrong with science today. References and notes for this episode can be found at the natural reward blog.

This is my first conversation with Chris Fortier, Vice President of the Web 3.0 company Rally. It begins when Chris questions me on what he calls my "natural forces" theory, which invokes two nonrandom forces of evolution: natural selection and natural reward. Relevant to this theory, we discuss the concept of teleology, especially as it relates to evolutionary adaptation and experimental evolution in microorganisms. We then review the "major transition” framework for classifying evolutionary innovation in terms of levels of organization, cooperation, and information storage and transmission, and how they relate to the Web 1/2/3 scheme. We then forge analogies between the cooperative and informational problems facing planetary life and humans operating in the technoworld, with reference to game theoretical dilemmas. In the latter half of the conversation, I tell Chris about my project investigating the economics of science and how to make science more innovative by altering its funding structure. Chris immediately grasps my approach to the problem and speculates about a solution. We then discuss what Chris is doing at Rally and I query him about its economics and governance. Finally, I tell Chris about my proposed solution and Chris is ready with examples from the cryptoworld that support my approach. At the end, Chris answers my question of how Rally itself stands to profit along with the creators within it. This conversation is an explosion of dynamism, where a discussion of “natural forces” illuminates the phenomena of nature, technology, and science.

Today, my brother Jon Gilbert addresses problems of income inequality and rising costs of living in the USA. In the first half of this episode, Jon presents figures showing the problem as it has manifested since the 1950s. Jon then argues that we may address the problem with a market-based solution: the use of "labor coins" to remove taxes on costs of living and transfer taxes to more frivolous expenditures. This is an interesting idea that I have never heard before, but which seems to mesh with various trends including the use of cryptocurrency and former experiments with dual-currency economic systems. We discuss the potential benefits of this solution in streamlining government bureaucracy and promoting equitable outcomes for full-time workers. Jon also discusses the possible caveats of the approach and the necessity of experiments that would assess whether the system works and how to fine tune it.  

Andrés Vega is a native Costa Rican who has devoted his life to conservation, education, and research in Corcovado National Park in Costa Rica. In this episode, I speak with Andrés about how he got interested in conservation and his new approach to preserving wildlife. Andrés recounts his first morning in Corcovado, in which he got to see, and get chased by, some of the most charismatic large animals that live there.  We talk about the geological and biological features that make Corcovado park a hotspot of biodiversity and endemism, the history of the park, and the conservation issues facing it. Along the way, Andrés relates fascinating tales of real or apparent "logs!" We then discuss Andrés's new grassroots campaign that encourages villagers to protect wildlife instead of poach.  Andrés provides an example of how local-level activism can promote conservation more effectively than national government. With your help, Andrés hopes to build shelters for local patrols, buy satellite collars to track and protect white-lipped peccaries, and educate local communities on how to effectively monitor and prevent poaching (GoFundMe).  Ultimately, Andrés hopes to rescue the animals and preserve the habitat that left him in awe, or chased him, on that first morning (additional links)! 

In this episode, I speak with Dr. Nikunj Goel about about spatial sorting, which refers to the build up of dispersal morphs on expanding edges of populations. Dr. Goel is a postdoctoral researcher at UT Austin working with Tim Keitt. We begin with a discussion of Dr. Goel's background in physics and math, how he got interested in biology, and his work in ecology. We then get into Dr. Goel's views on biological theory, and his approach to using the Price equation to model spatial sorting. I ask Dr. Goel to share his perspective on the conceptual background of spatial sorting, including whether he views it as a type of natural selection, and his approach to modelling it. I then tell Dr. Goel that I think spatial sorting is significant because it is often involved with population expansion and invasion of new habitats. I also tell Dr. Goel about my own views on "general theory" in biology and the use of the Price equation in the field of social evolution. We also cover relevant history of evolutionary theory. See naturalreward.com for a list of references.

In this episode, I speak with Dr. Komi German about a reviewer's reaction to her book proposal. All academics deal with rejection. How a researcher deals with rejection determines whether she gets her work published, and how it will appear. We brainstorm strategies to deal with the reviewer's response and the question of what approach to take in a revision. We discuss whether Komi should try to appeal to her opponents, or whether she should try to appeal to third parties. We also cover some of the issues surrounding Freedom of Expression, including those raised by foundational documents of the American Association of University Professors (AAUP), the Chicago Statement of Principles, the Chicago Report, and Yale's Woodward report. 

In this episode, I speak with Dr. Komi German about Diversity, Equity, and Inclusion (DEI) policies in academia and related issues. Komi is a Research Fellow at the Foundation for Individual Rights and Freedom (FIRE). Komi recently completed her Ph. D. in psychology at UC Riverside with a dissertation entitled, "Diversity, Equity, and Inclusion Policies in Academia: The Faculty's Response." Komi's dissertation reviews the history of DEI in academia and reports the results of her surveys of UC Riverside professors about their views on DEI initiatives. In this podcast, we will cover issues like exclusion, censorship, authoritarianism, freedom of speech, implicit bias, cynicism, dogmatism, diversity statements, privilege, nobility, and the relevance of Friedrich Nietzsche and Charles Darwin to the Ivory Tower.