Uncertainty surrounds us—from trivial guesses about tomorrow’s weather to high-stakes decisions about medical treatments, business investments, and global risks. Yet most people handle uncertainty poorly, leading to catastrophic failures in judgment. In The Art of Uncertainty, statistician David Spiegelhalter argues that we struggle with uncertainty because we rely on intuition and vague language to reckon with what we’re not sure about rather than employing systematic reasoning and numbers.
As Emeritus Professor of Statistics at Cambridge University and former Winton Professor of the Public Understanding of Risk, Spiegelhalter has spent decades studying how people...
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Humans evolved to make quick decisions so we can avoid threats and take advantage of opportunities. Spiegelhalter explains that while this served our ancestors well, it leaves us poorly equipped to handle modern-day uncertainty, such as making medical decisions, evaluating financial risks, or understanding scientific claims. In this section, we’ll examine what uncertainty is and why it varies from person to person. Then we’ll explore how our intuitions lead us to misjudge randomness, misinterpret coincidences, and confuse luck with skill.
(Shortform note: Our brains evolved to handle the predictable patterns of hunter-gatherer life, not the constant uncertainty of the modern world. When we face uncertain situations, specific regions in the brain become hyperfocused on potential threats. When this happens, uncertainty consumes parts of our working memory that we’d otherwise use for focus, creativity, and decision-making. The mediodorsal thalamus, a region connecting distant brain areas, becomes...
Recognizing that our intuitions mislead us is the first step toward thinking more clearly about uncertainty. Spiegelhalter contends that the next step is adopting a better tool for talking and thinking about uncertainty: probability. In this section, we’ll examine what probability is and how it quantifies uncertainty. Then, we’ll explore why expressing uncertainty numerically beats using imprecise language, and what probability actually means philosophically. Finally, we’ll see how probability provides a method for revising what we believe as we learn new information.
Spiegelhalter explains that probability is a number between 0 and 1, often expressed as a percentage, that quantifies uncertainty. A probability of 0 means something is impossible, a probability of 1 means it’s certain, and a probability of 0.5 (50%) means it’s equally likely to happen or not. For instance, when statistician Nate Silver said there was a 28.6% probability of Donald Trump winning the 2016 US presidential election, he placed his uncertainty on this scale: closer to “won’t happen” (0%) than to “will happen” (100%), but not so close to zero that it’s negligible. This...
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Having the right mathematical tools to quantify our uncertainty and update our predictions isn’t enough—we also need strategies to apply these tools in messy real-world situations where our models might be wrong and our knowledge is incomplete. In this section, we’ll explore Spiegelhalter’s practical principles for handling uncertainty when it matters most: distinguishing causation from correlation, communicating uncertainty honestly, understanding extreme events, and maintaining intellectual humility throughout.
One of the most common errors in reasoning about uncertainty is assuming that because two things occur together, one must cause the other. Spiegelhalter writes that establishing genuine causation requires far stronger evidence than mere correlation. Yet people, including researchers, routinely assume causal connections instead of looking for corroborative evidence from multiple sources.
For example, numerous studies show that teenagers who spend more time on social media report higher rates of depression and anxiety. Many have concluded that social media use causes mental health problems, driving calls for age...
Spiegelhalter argues that expressing uncertainty numerically rather than with vague words is essential for clear thinking and accountability. This exercise helps you practice quantifying your own uncertainty about real events.
For each statement below, assign a probability from 0% to 100% expressing your degree of belief. For example, “I am [70%] confident that I will exercise at least three times this week.”
I am ___% confident that I will complete my most important work task this week on time.
I am ___% confident that someone I know will cancel plans or an appointment this week.
I am ___% confident that I will have at least one unexpected conversation or encounter this week that takes more than 10 minutes.
I am ___% confident that I will check my phone or email within five minutes of waking up on at least four days this week.
I am ___% confident that the weather will be good enough for outdoor activities this weekend.
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