Carissa Véliz

speaker

349 appearances 4 recordings 4 series first heard Apr 2026 last heard 12 Jun

Carissa Véliz’s voice in public audio — every appearance, attributed to the second.

Trend

recordings per month · last 12 months

Recordings per month over the last 12 months — 4 in all, peaking in Apr 2026 with 2.

Appearances

newest first · ▶ plays the moment

The Claire Byrne Show · Author Carissa Véliz speaks to Claire on her new book ‘Prophecy’ · 14 May 2026 podcast

But if I deny your loan application or your job application or any other opportunity on the basis of a prediction, there's no way to challenge that.

So what I'm worried about is that we're creating this Kafkaesque system in which we can no longer contest decisions.

Yes, because they're based on predictions, but that's not facts.

And we should anchor democracy more closely to facts.

So in 1971, there was this world championship and it was the first time that two champions were fighting each other for the heavyweight championship.

And both of them were previously undefeated.

And in the press conference, Muhammad Ali boasted that he made a prediction that he was going to win, that it would be no contest.

And of course, Joe Frazier realized that this wasn't the man making numbers in his head.

He was intimidating his opponent.

And he got really riled up and ended up defeating the previously undefeated great Ali in the fight of the century.

So we should do like Joe Frazier.

And when we listen to a prediction about the social world that is against our interest, instead of taking it as a fact and accepting it, we should take it as an invitation for defiance.

TED Talks Daily · Beware the power of prediction | Carissa Véliz · 23 Apr 2026 podcast

Even though we tend to associate prediction with knowledge, I'd like to invite you to consider the possibility that most of the predictions that you encounter in an everyday setting are closer to the realm of power than that of knowledge.

Predictions are often power plays in disguise.

They justify value-laden decisions under the pretense of facts.

Better understanding prediction matters more than ever, because we're relying on forecasting more than ever with AI.

And based on how we talk about prediction, we're being much too naive about it.

But AI is science, you might think.

It's cutting-edge technology.

Well?

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