Why do institutions rely on resumes, tests, degrees, and credentials?

Because they need scalable ways to evaluate people. But these are often just proxies for the qualities they actually care about.

In this episode, we explore gatekeeping, Goodhart's Law, credentialism, peer review, and the possibility that AI could help institutions assess people more directly, moving beyond cheap signals toward genuine capability.

Topics include:

Gatekeeping and proxies
Goodhart's Law
Education and hiring
Peer review
AI-assisted evaluation
Logic, debate, and critical thinking

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In this episode, I examine the Simulation Hypothesis; the idea that our reality may be a vast computer simulation. Drawing on arguments from quantum mechanics, video games, information theory, and even Eastern and Western religious traditions, I explore why some thinkers believe we may be living inside a simulated world. I then present a different perspective: that reality may not be a simulation at all, but rather a fundamentally computational process in its own right. Along the way, we discuss quantum indeterminacy, wave function collapse, entanglement, wormholes, digital physics, information theory, and the distinction between a computational universe and a simulated universe.

Become a Member at dekyon.io/seanmcclure/science-in-perspective

If you enjoyed this episode and want to go deeper, come find me over at dekyon.io. With a premium membership you get the full Science in Perspective experience: interactive visualizations of the key concepts, a study space to learn the fundamentals behind each episode, and an "Ask an Episode" feature where you can dialogue with an AI about the details and start connecting ideas across the whole show.

There's also notes, transcripts, deep-dive articles, and a community of folks thinking through this stuff alongside you. It's where the episode stops being something you just listened to and becomes something you truly understand. So head to dekyon.io, click on the science in perspective app, and become a member today.

Can AI really "solve all disease"?

AlphaFold and AI-driven drug discovery are remarkable achievements, but are we aiming at the right problem?

In this episode, I argue that many of today's most devastating diseases are not isolated molecular failures but emergent system-level phenomena. Using the analogy of traffic jams, we explore why precision medicine puts AI on the wrong path, and why the future of AI in healthcare requires learning to steer biological systems, not its individual parts.

Become a Member at dekyon.io/seanmcclure/science-in-perspective

If you enjoyed this episode and want to go deeper, come find me over at dekyon.io. With a premium membership you get the full Science in Perspective experience: interactive visualizations of the key concepts, a study space to learn the fundamentals behind each episode, and an "Ask an Episode" feature where you can dialogue with an AI about the details and start connecting ideas across the whole show.

There's also notes, transcripts, deep-dive articles, and a community of folks thinking through this stuff alongside you. It's where the episode stops being something you just listened to and becomes something you truly understand. So head to dekyon.io, click on the science in perspective app, and become a member today.