Nomological networks of cumulative evidence is the mindset that requires an unassailable amount of data to prove an explanation that even the most dogged detractor is unable to argue against. It focuses on creating conciliance and unity of knowledge, using the example of Charles Darwin to illustrate its principles.
The podcast discusses the role of common sense and understanding of physics in deciphering causality, the reason for the loss of faith in deep learning during the 90s, and the discovery of deep learning over a decade later. It highlights the wrong causal relationships that have been attributed to deity or divinity over centuries.
The exponential growth in technology has led to exponential complexity, and yet we lack the capacity to make sense of it all. Developing cognitive complexity, or the ability to hold multiple conflicting ideas simultaneously, is crucial in navigating this new reality.
The very trait that allowed humans to thrive and conquer the world, our collective intelligence, could easily be our undoing as a species. This paradox is explored along with the historical and cultural significance of stone throwing and the connection between human attraction to fresh grass and our natural habitat in the plains.
This podcast explores the use of economics in making personal decisions, and discusses the need for empirical evidence when testing theories. It also addresses the limitations of economics in certain contexts like personal decision making.
In this clip, the speaker discusses the difficulty of distinguishing between outside-the-box thinkers and charlatans, especially when it comes to discussions of evolution with individuals who believe a particular aspect can't be explained by current Darwinism theory.