While influential in writing, the New Atheism movement faltered in real-world application. Its core idea—that humans are a product of 'time plus matter plus chance'—offered no practical answers to life's ultimate questions of identity and purpose, contributing to its decline.

The power of Sacks' stories was rooted in the belief that these bizarre neurological cases were real. Discovering they were invented collapses the entire premise. The core appeal wasn't just good writing; it was the wonder that "you couldn't make this stuff up," which turned out to be false.

Dawkins, known for arguing that religious belief stems from a cognitive bias to project agency onto the world, ironically falls for the same bias with AI. He treats the language model as a conscious friend, demonstrating the power of this psychological tendency.

Citing Tim Cook's sycophantic White House appearance, Scott Galloway argues that a leader's final actions are what people remember most. Just as with a divorce or leaving a party, being principled at the end is crucial. A late-career misstep can tarnish decades of success.

Diarmaid MacCulloch argues that foundational historians of sexuality, including Michel Foucault, John Boswell, and Alan Bray, produced unreliable work. He posits their perspectives were distorted by their Roman Catholic backgrounds, leading to flawed theories like the 19th-century "invention" of homosexuality.

Highly accomplished experts, like two-time Nobelist Linus Pauling, can become staunch advocates for pseudoscience outside their core expertise. This "genius myth" occurs when success leads them (and their followers) to believe their insights are universally applicable, ignoring the need for rigorous methods in new domains.

To counteract the brain's tendency to preserve existing conclusions, Charles Darwin deliberately considered evidence that contradicted his hypotheses. He was most rigorous when he felt most confident in an idea—a powerful, counterintuitive method for maintaining objectivity and avoiding confirmation bias.

Similar to how charisma is often ascribed to leaders only after their organizations succeed, we tend to label people as geniuses after a major achievement. This creates a narrative fallacy where we assume innate genius caused the success, rather than success causing the attribution of genius.

Richard Dawkins was easily convinced of an AI's depth after it flattered his questions as "the most precisely formulated." This highlights how even sharp minds are vulnerable to AI manipulation through sycophancy, a common design trait in LLMs.