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The Three Most Important Words We’re Taught Not to Say

October 27, 2025

Recorded on: Oct 17, 2025

Description

In this week’s Frankly, Nate considers the ways in which our social species overvalues false confidence rather than the more honest and inquisitive response of “I don’t know.” He invites us to consider the science behind this cultural bias towards certainty: from our biological response from the stress of “not knowing” to the reinforcing effects of motivated reasoning that ensnares even the smartest among us (especially the smartest among us).

Overconfidence and the desire for quick answers have been the root cause of many of humanity’s disasters, from the space shuttle Challenger explosion to the Deep Water Horizon oil spill to the subprime housing bubble. And now, the exponential growth and integration of Artificial Intelligence is hyper-fueling this risk, as AI mirrors the human aversion to uncertainty through “hallucinations”. As some AI companies are now considering penalizing over-confident answers in favor of “I don’t know”, perhaps humans could learn to do the same for ourselves.

How often do you say, “I don’t know”?  In what ways do we lose opportunities for conversation and exploration by not admitting our own uncertainties? Can listening to our own gut for “truth” and embracing intentional Red Team dissent shift “I don’t know” from weakness to wisdom?

Show Notes & Links to Learn More

The TGS team puts together these brief references and show notes for the learning and convenience of our listeners. However, most of the points made in episodes hold more nuance than one link can address, and we encourage you to dig deeper into any of these topics and come to your own informed conclusions.

01:54 – Salomon Brothers

03:48 – The Great Simplification (TGS) Podcast

05:07 – Sympathetic Nervous System

07:54 – Motivated Reasoning

08:09 – Authority Bias

08:33 – Milgram Experiment

08:49 – Nurses Over-Prescribing Study

10:20 – The Superorganism Explained in 7 Minutes

10:44 – Major Projects Which Went Catastrophically Over-Budget 

11:59 – Training Large Language Models on What Wins

12:12 – AI Hallucinations

13:02 – OpenAI on AI Hallucinations

13:06 – ChatGPT5

13:29 – Stanford Paper “Moloch’s Bargain”

14:16 – Nuclear Wars Avoided the Past 50 Years

16:20 – YouTube CBS News Story on Challenger Explosion

16:48 – Housing Bubble, Subprime Mortgage Crisis

17:03 – Deep Water Horizon, NYT Article causes of the Deep Water Horizon Explosion

18:12 – Maximum Power Principle

19:46 – TGS Episodes on Dark Triad and Psychopathy, Frankly #108, Reality Roundtable #19

20:18 – OpenAI on How Will Change LLM Training

23:50 – Red Teams

Additional References:

Keren and Teigen, Preference for Definitive Predictions Paper

Anderson & Kilduff, Trait Dominance Paper

Stone, Judgment Producers Paper

Dunning-Kruger Effect

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Nate Hagens

Nate Hagens

Nate Hagens is the Executive Director of The Institute for the Study of Energy & Our Future (ISEOF). Allied with leading ecologists, energy experts, politicians, and systems thinkers, ISEOF assembles roadmaps for understanding how human societies might adapt to lower-throughput lifestyles.

Nate hosts the podcast The Great Simplification, where he has conversations with experts in energy, ecology, government, technology, and the economy to provide a systemic view of the world around us.

After ten years in finance, Nate left Wall Street to study the interrelationships between energy, ecology, and economics—and the implications for human futures. He was the Managing Editor of The Oil Drum, one of the most respected websites for analysis and discussion of global energy supplies and implications of the upcoming energy transition.

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