Overview of How predictions took over our lives
This episode of TED Radio Hour explores how prediction has moved from a niche idea to a defining force in modern life — from sports betting and prediction markets to AI-driven forecasting and the cultural pressure to “know” the future. Through conversations with sports researcher Brendan Dwyer, philosopher Carissa Veliz, and writer Simone Stolzoff, the episode argues that prediction is often less about truth than power, profit, and control. The central warning: when we obsess over forecasting the future, we can lose sight of agency, uncertainty, and the lived meaning of the present.
Sports Betting, Fantasy Leagues, and the Rise of “Game Within the Game”
Brendan Dwyer’s World Cup anecdote
Brendan Dwyer, a sports leadership professor and former coach, describes students watching a Morocco vs. Belgium World Cup match not because they cared who won, but because they had bet on the number of corner kicks. Their attention was locked on the wager, not the sport itself.
How sports consumption changed
Dwyer traces the shift from traditional betting to:
- online fantasy sports
- daily fantasy apps
- legal sports betting after the 2018 Supreme Court decision
- the newer world of prediction markets
Key takeaway: sports now often contain a “second game” layered on top of the actual game, driven by betting incentives.
The scale of growth
- In 2017, U.S. sports betting spending was just under $5 billion
- By 2024, it reached about $150 billion
- Roughly 95% of that is online
Concerns raised
Dwyer says the industry is changing fan behavior, broadcasting, and even athlete treatment. He worries about:
- over-advertising
- targeting vulnerable groups
- problem gambling
- turning shared experiences into transactional ones
He also notes that many bettors are fairly responsible, but younger men (18–24) are especially vulnerable because of overconfidence, impulsivity, and the illusion that sports knowledge equals control.
AI and Prediction as Power
Carissa Veliz’s core argument
Oxford philosopher Carissa Veliz argues that predictions are often not facts but power plays.
Her main points:
- Predictions can be guesses, estimates, or persuasion tools
- AI is fundamentally a prediction machine
- Predicting people is different from predicting weather or molecules because human predictions can change behavior
Why this matters
Veliz warns that AI predictions can become self-fulfilling:
- higher insurance premiums
- biased hiring decisions
- loan denial
- bail and sentencing decisions
- personalized systems that shape what people read, see, and believe
Her critique is that using predictions in high-stakes decisions creates a world where people can be judged by statistical pattern matching they cannot challenge.
Technology executives and “inevitable futures”
Veliz pushes back on the way tech leaders describe AI as inevitable:
- these claims can function as marketing
- they can become conversation stoppers
- they pressure people to accept a future they never debated
She uses the metaverse hype as an example of a tech leader trying to will a future into existence.
Her broader message
Prediction should not replace agency. The future is unwritten, and people should ask:
- Who benefits from this prediction?
- What are the incentives behind it?
- Do I actually want the future being sold to me?
Uncertainty, Anxiety, and How to Regain Agency
Why uncertainty feels so hard
Writer Simone Stolzoff says people are increasingly anxious because modern life is saturated with prediction — news, apps, algorithms, and forecasts all promise certainty.
He argues:
- humans are biologically wired to fear uncertainty
- but uncertainty is also where creativity and possibility begin
Micro-dosing uncertainty
Stolzoff discusses people who deliberately build randomness into their lives, including Max Hawkins, who used algorithms to:
- go to random places in San Francisco
- travel to random cities around the world
- disrupt routine and over-optimization
The lesson is not that algorithms should make our choices, but that small doses of novelty can help us tolerate uncertainty better.
Healthy way to think about the future
Stolzoff recommends:
- treating life like a prototype
- focusing on the next right action
- approaching the future with curiosity instead of fear
- resisting the temptation to demand total certainty
Main Takeaways
- Prediction has become a business model in sports, tech, and everyday life.
- More prediction does not always mean more truth; it can mean more control.
- Sports betting and AI forecasts can shape behavior, not just describe it.
- Predictions about people are especially risky because they can become self-fulfilling.
- The most important response is not perfect forecasting, but preserving autonomy and agency.
- A healthier relationship with the future means accepting that we cannot know everything — and should not let others decide the future for us.
Notable Idea
“The future is unwritten.”
That message ties the episode together: instead of passively consuming predictions, people should actively build the future they want to live in.