The Great Simplification with Nate Hagens - The Three Most Important Words We're Taught Not to Say

Episode Date: October 24, 2025

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 conside...r 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? (Recorded October 17th, 2025)   Show Notes and More Watch this video episode on YouTube   Want to learn the broad overview of The Great Simplification in 30 minutes? Watch our Animated Movie. ---   Support The Institute for the Study of Energy and Our Future   Join our Substack newsletter   Join our Hylo channel and connect with other listeners

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Starting point is 00:00:00 Good morning. As a podcast host, there is one answer that I love to hear when I ask my guests a question, but I rarely ever do. To me, this answer is a signal of maturity and nuance and honesty. And it's not trying to give an answer to all the world's problems. That answer is, I don't know. Why is hearing I don't know so refreshing to me? And I'm guessing to many of you, which is why I'm doing this. this frankly. We are all members of a social species in a modern culture that's turbocharged by energy surplus and social technology. But in this modern setting, we still seek status and respect a product of our evolutionary wiring. And because of this, in most public settings in today's society, including and especially the media, we value, and I would argue overvalue confidence, bravado, and certainty. So saying, I don't know, is now seen as a sign of weakness, not of wisdom. So when you hear it in a public setting, it's like an antidote to our cultural consensus trance. And I'm beginning to think that the reluctance to express, I don't know,
Starting point is 00:01:20 or its equivalent, out loud, is a fatal flaw in our culture as we've been. begin to discuss our vastly complex and risky and rapidly approaching future. And so today I'd like to unpack this a bit. So back in the day, 25 years ago, no longer ago than that, 25 years ago is when I left. When I started at Solomon Brothers in 1992, so over 30 years ago, Solomon Brothers was one of the coolest places on Wall Street. And in the training program, which was much revered and respected, they kicked our asses. And a lot of times they would ask you a question about simple bond math, like what's the duration of a 30-year note?
Starting point is 00:02:19 And then they would ask you a little bit harder question. What's the ticker symbol of some stock? And then they would ask you a really hard question. And after you answered the first two questions, like, yeah, I know that. Yahoo, Y-H-O-O or whatever, then they would ask you a question that you weren't supposed to be able to ask. And what ended up happening, especially as we wanted to impress our bosses, we would make something up, our guess.
Starting point is 00:02:43 And they would come down on us so hard, like, no, what you were supposed to say as eventual salespeople who would be talking to billionaires and institutional managers is, I don't know, but I will find out and get back to you. So that concept was drilled into me in my early 20s. But in the intervening 30 years, I don't know is not spoken in our culture. And I want to try to understand why and what it means. So there's many levels of this. And our culture today doesn't merely tolerate and accept overconfidence, but I think we actually
Starting point is 00:03:27 prioritize it and basically pay a premium for overconfidence in our culture. Social media feeds boost the really bold claim that then goes viral as opposed to the nuanced one that is more accurate. And I feel that dynamic in spades hosting the content on TGS the past few years. TV and news producers, they booked the guests with the crisp and sharp take, not the careful qualifying one. And in classrooms, the quick hand beats the methodological thinker. And I know this because even in third grade, I had the fast hand. In boardrooms, in C-sweets, it's the fast, confident answer ranks a lot higher than the humble hypothesis. So our modern status economy runs on conviction and nuance and caution slow us down. And there are three, at least three, intertwining reasons why confidence and
Starting point is 00:04:30 lack of humility rise to the top in our current culture. First, at the physiological level, within an individual, uncertainty itself feels bad. Because uncertainty is more than just an abstract concept. It's actually a bodily state within us. Human brains are prediction engines, It's always guessing what's going to come next and then checking that guess against the reality in front of us. And when the world becomes more chaotic, these prediction errors spike and kick in our sympathetic nervous system, aka our alarm network. And so when our stressed system releases cortisol and things happen like a tight chest or a fluttery
Starting point is 00:05:18 stomach and increased heart rate, these inform our gut that something is off here, even before we can explain why. And furthermore, being uncertain, by definition, occurs when we build multiple mental possibilities and hold them all at once. And doing this requires more energy in the form of glucose. But when we're now running parallel mental scenarios and models, inhibiting quick, answers and context flip-flopping, our bodies don't like all this energy use and inefficiency. And as this stress increases, our bodies push us to pick some story, sometimes to pick any
Starting point is 00:06:03 story to shut the alarms off. So evolution wired us as this way on the plains of Tanzania back in the day. It was safer to assume that the Russell in the bushes was a lion than it was to assume it's the wind because it was better a false alarm than a fatal pause or maybe fatal clause. Clause isn't clause. And now today, a modern society reinforces this group's reward decisive signals over caveats. So I don't know can professionally feel like a status risk. You put that all together and at the level of the individual human physiology, uncertainty feels
Starting point is 00:06:53 both uncomfortable and potentially costly. So it's no wonder that fantasy and doom often become our defaults rather than sitting with the unknown open to learning. Okay, that's the first level. So building on that at a higher level, beliefs once they're formed develop antibodies to change. We all carry what's been referred to as an ideological immune system, which is once a worldview works for us, we defend it. And importantly, especially the smart, well-read among us who get better at arguing their own side rather than testing it. And there's lots of modern research to back this up on highly charged and divisive topics.
Starting point is 00:07:43 smart people aren't necessarily right more of the time, but they are better at rationalizing their own positions. This is called motivated reasoning, and it's very effective at preserving our personal blind spots. Then a layer above that, there are the cultural-wide human cognitive phenomenon like authority bias. Authority bias and many other related biases are built-in tendency to trust and comply with confident signals of what's perceived to be high cultural status, titles and uniform forms and expert credentials over any actual evidence to the contrary. It shows up over and over. Famously in the Milgram studies, ordinary people kept delivering what they thought were painful and nearly fatal shocks because some guy in a lab coat
Starting point is 00:08:41 told them, please continue. There was another classic hospital field study where 95% of nurses prepared an excessive, unauthorized medical dose based solely on a stranger's phone order claiming to be a doctor, even though the rules forbade this. There's many other studies who've shown that humans are more likely to obey requests from persons in authority or perceived authority. this all doesn't seem surprising, but it does help explain why a lot of us tend to go on autopilot at times when we probably most need to be thinking critically. And these examples are all from different settings, but they show the same pattern. Signals of authority lower our skepticism and they raise our compliance. And this also partially explains why misinformation in today's world works so well, throw some money.
Starting point is 00:09:38 at a confident spokesperson and you distill some non-science-based message good for your business or whatever. This is a high leverage return proposition. So lastly, we can see why in our culture people in authority rarely say, I don't know, because if they did, they'd be replaced by some of their leader, some of their person who's more perceived to know what they're doing. So basically confident guesses rise to the top. And almost as if by compulsion from what I refer to as the global economic superorganism, we have learned to speak past uncertainty and to round off any error bars and ultimately culture-wide, and this is a global phenomenon, to confidently act first and check later.
Starting point is 00:10:36 And these incentives shape the outcomes we see around us. Projects start with rosy baselines and then end up with invariably with cost overruns. Politicians will campaign on certain guarantees and then walk them back when they're elected and actually have to govern. Even science gets pulled towards headline ready narratives. even in choosing guests for this show, I lean towards the articulate, confident, charismatic spokesperson for topics over the best scientist. So overconfidence in our culture is rewarded at the front end and punished, if at all, only in hindsight, which means the person who benefits is rarely the person or culture who pays.
Starting point is 00:11:30 the public and the environment pay in trust and money and time and obviously to those following this show in ecosystem stability. What about AI? Well, AI adds an interesting wrinkle here. AI also rewards confident responses, turbocharging what is already a human tendency naturally because humans created AI. So in competitions, large language models are trained on what wins, not on what's true. So you've heard of the concept of hallucinations. This is when a model, a large language model, confidently generates an answer that isn't true. Chat GPT5 main software hallucinates around 10% of the time with Internet access and about half of the time without the Internet. So why do chatbots make stuff up?
Starting point is 00:12:28 It's because they were trained to answer, not to pass. It's a fundamental logic difference. So if you think of a quiz show where guesses get points but saying, I don't know, gets you nothing, and you play that a million times. Over time, such a system with lots of iterations, that system would learn to speak smoothly and confidently, even when it's unsure. In a recent paper, OpenAI, who makes Chad GPT, even stopped referring to hallucinations as bugs and referred to them as statistical destiny. So you combine humans and AI and you get even more overconfidence and less humility. There was a new Stanford paper
Starting point is 00:13:24 that just coined the term Mollocks bargain for what happens when large language models start competing for attention, sales, or votes. And the results were striking, though perhaps if you followed this far, not unsurprising. Every gain in the model performance came with a bigger loss in honesty. In effect, more deceptive marketing, more disinformation in political campaigns, and more fake and a harmful social media post. And as an aside and not one I enjoy thinking or talking about, I worry a lot about the merger of AI with military capacity. I've been informed by people who are in a position to know that we've actually avoided perhaps a dozen or even more potential nuclear
Starting point is 00:14:19 wars in the last 50 years. And mostly because at the time a single human was unsure. And they chose to, something's not right here. Let's wait for more information. And the rational speed bumps of uncertainty and waiting might disappear if large language models trained on worst case possibilities eventually replace the human interface and the human decision making and judgment. This is one of the few things that wakes me up at night. Of course, you're aware this is not just a machine AI problem, but really a mirror into our cultural values and behaviors because we train ourselves the same way. As I mentioned before, media cuts to the confident clip and companies promote decisive,
Starting point is 00:15:18 confident talkers and politicians prioritize simplicity. and easy to understand things over truth and complexity. Economists tell stories of infinite growth and that technology will be able to solve any challenges along our way. The result is human hallucination. Stories we tell ourselves and act on that wildly outpace our energy, ecosystem, and time constraints.
Starting point is 00:15:50 And then we're shocked, shocked when reality shows us. to stare us in the face and remind us. So what are the costs of overconfidence? People following along this platform are well aware of the modern cost of overconfidence and certainty on the environmental side. But beyond the ecological impacts that we're learning more and more about, think of examples like the Challenger space shuttle launch. So managers waved off the engineers caveats about the O-Ring,
Starting point is 00:16:24 and low temps, and it resulted in seven lives lost. I watched that live, by the way, at Cronzidge Hall at University of Wisconsin when I was at college. Strange how the amygdala has these little emotional memories during the lifespan of a human brain. What else? The housing bubble, ratings and models said, this is safe, leverage and optimism. said, let's party. And that all again resulted in another global crisis. The Deepwater Horizon shortcuts looked efficient until they weren't. Governments do this all the time. Big projects are
Starting point is 00:17:11 sold as on time and on budget and important and they morph into years of overruns and then bailouts. So it was the optimistic baseline. That was the mistake from the beginning. This is a repeating pattern in our culture. Certainty beats caution. And the costs come later. And the costs come later. And the costs come later might actually currently be a good mnemonic tagline for homo sapiens and we're starting to see the costs that are coming later.
Starting point is 00:17:52 So what do we do with this? I almost said I don't know, but I have some directional ideas. One could argue that overconfidence and lack of humility and caution is one of the core underlying drivers of the maximum power principle, which itself is underpinning global human ecological overshoot and the impending great simplification, which I suppose is itself maybe. its own frankly in the future. But we have a Trump card, which is self-introspection, learning, and the fast pace of culture change. So injecting, I don't know, as a culturally accepted phrase could be impactful, in my opinion. I don't know shifts the dynamic back to curiosity and the possibility for change. It re-engages our prefrontal cortex, it widens our time horizons, and it makes cooperation with others easier because we're
Starting point is 00:19:02 no longer defending an identity whose scaffolding was certainty. If you can't admit that you don't know, then you can't really hear anything else. Admitting uncertainty lets us run experiments instead of arguments, and it creates room to develop scenarios and more importantly extend conversations with people who we might otherwise disagree with and not talk to. So how do we put this into practice? In some ways this human authority bias phenomenon dovetails, I suspect, with the psychopathy dark triad story that I've been talking about recently. Now, I'm going to think on that more.
Starting point is 00:19:54 I think there's an important overlap there that I need to muse on. But what do we do in practice to shift this dynamic? I don't know. But here are a few directional suggestions. So AI itself is evolving in emergent ways. And Open AI in their YAI models hallucinate paper, they proposed a fix to hallucinate. Not more data or the size of compute or the model sides, but merely a change in the rules on how models are trained. And they're considering rewiring the benchmarks. So I don't know. Specifically, I don't know is rewarded instead of punished.
Starting point is 00:20:43 And if this works and confidence thresholds are added to calibrate behavior, the thinking is that models will stop bluffing. when they're uncertain. And this is really encouraging, I think. But of course, a big caveat is that downstream from what Open AI is doing are all their customers, the corporations and the confident individuals. And convincing them to embrace new models that favor I don't know over accuracy porn is perhaps a harder challenge than just patching the chatbots themselves. But what they're suggesting is to change the scoring.
Starting point is 00:21:23 So humility wins, or at least has more equal footing. In effect, to penalize confidently spoken errors more than they penalize uncertainty and also to give partial credit for appropriate expressions of uncertainty. So Open AI is doing this in training their next versions of AI. What if our society did this? So what else? What about us as individuals? Again, these are somewhat confident guesses on my part.
Starting point is 00:22:02 I'm into the, I don't want to highlight a problem and then just say goodbye. So I'm putting some things I'm uncertain about that might directionally apply to you, the viewers. So maybe pay attention to yourself and notice when you're giving an answer that you don't fully understand. or know to be true and recognize this and call it out to your version of little Nate sitting on your shoulder. Of course, it would be little Kathleen or little Joe or little Feng Li or whoever is watching this. And then fact check it. Get in tune with your gut, your gut feeling. And you might find by listening more and more to the little part of you that says something is off. off with this guy. Something is off with this story. Something is off with what I just heard. It may
Starting point is 00:22:59 become more and more accurate and sensitive to when others are trying to sell you something that's only half baked. Actively, consciously calibrate. Put probabilities on your own claims. I think this is going to 60% happen this week, 30% next week, 10% the week after or or something like that and then score yourself when reality arrives. I think this could be super helpful, but of course this gets into the collective action problem. If you're the only one or one of the only ones that are doing that, then it might not be that helpful.
Starting point is 00:23:42 If a lot of people do this, I think it would be helpful. And then the concept of red teams make dissent and uncertainty a formal role. in your work as opposed to a risk and then rotate the whoever's tasked with being the skeptic. Rotate that role and thank these people publicly for playing that role on your team, whether that's at your community board meeting or at your organization or even your family. If it works for machines rewarding honest uncertainty, why couldn't it work for us? So in conclusion today, in a society that is assailed from all angles with social and environmental problems and too much information in addition to gambling, pornography, and shopping and new AI videos of some Sasquatch-looking creatures selling a new tech gadget and all of this is available 24-7 on the internet to increasingly overly full. minds, we are moving further and further away from the cultural ability to express, I don't know.
Starting point is 00:24:59 Because such an answer in today's world implies weakness rather than wisdom. And someone on TV, someone testifying to Congress, or someone publicly asked for answers to our financial ecological problems, replying, I don't know, but I can find out and get back to you in our culture would quickly be. replaced by someone with a pithy, witty, or confident answer, and with all three, they'll be branded an expert and invited back. So yes, modern human culture rewards overconfidence and overrewards overconfidence. What's the answer?
Starting point is 00:25:37 I don't know. But I suspect if we're able to change how we keep score. At home, at work in media, in decisions about the future, so that truthfulness and human humility get equal time as performance and and posturing, I expect our systems would naturally get smarter and kinder. So what if those three magic words aren't the end of the sentence but the start of learning? Thank you. Talk to you next week.

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