#60 - Phil Tetlock on why accurate forecasting matters for everything, and how you can do it better

#60 - Phil Tetlock on why accurate forecasting matters for everything, and how you can do it better

Have you ever been infuriated by a doctor's unwillingness to give you an honest, probabilistic estimate about what to expect? Or a lawyer who won't tell you the chances you'll win your case?

Their behaviour is so frustrating because accurately predicting the future is central to every action we take. If we can't assess the likelihood of different outcomes we're in a complete bind, whether the decision concerns war and peace, work and study, or Black Mirror and RuPaul's Drag Race.

Which is why the research of Professor Philip Tetlock is relevant for all of us each and every day.

He has spent 40 years as a meticulous social scientist, collecting millions of predictions from tens of thousands of people, in order to figure out how good humans really are at foreseeing the future, and what habits of thought allow us to do better.

Along with other psychologists, he identified that many ordinary people are attracted to a 'folk probability' that draws just three distinctions — 'impossible', 'possible' and 'certain' — and which leads to major systemic mistakes. But with the right mindset and training we can become capable of accurately discriminating between differences as fine as 56% as against 57% likely.

Links to learn more, summary and full transcript
The calibration training app
Sign up for the Civ-5 counterfactual forecasting tournament
A review of the evidence on good forecasting practices
Learn more about Effective Altruism Global

In the aftermath of Iraq and WMDs the US intelligence community hired him to prevent the same ever happening again, and his guide — Superforecasting: The Art and Science of Prediction — became a bestseller back in 2014.

That was five years ago. In today's interview, Tetlock explains how his research agenda continues to advance, today using the game Civilization 5 to see how well we can predict what would have happened in elusive counterfactual worlds we never get to see, and discovering how simple algorithms can complement or substitute for human judgement.

We discuss how his work can be applied to your personal life to answer high-stakes questions, like how likely you are to thrive in a given career path, or whether your business idea will be a billion-dollar unicorn — or fall apart catastrophically. (To help you get better at figuring those things out, our site now has a training app developed by the Open Philanthropy Project and Clearer Thinking that teaches you to distinguish your '70 percents' from your '80 percents'.)

We also bring some tough methodological questions raised by the author of a recent review of the forecasting literature. And we find out what jobs people can take to make improving the reasonableness of decision-making in major institutions that shape the world their profession, as it has been for Tetlock over many decades.

We view Tetlock's work as so core to living well that we've brought him back for a second and longer appearance on the show — his first was back in episode 15.

Get this episode by subscribing to our podcast on the world’s most pressing problems and how to solve them: type 80,000 Hours into your podcasting app.

The 80,000 Hours Podcast is produced by Keiran Harris.

Jaksot(326)

Global issues beyond 80,000 Hours’ current priorities (Article)

Global issues beyond 80,000 Hours’ current priorities (Article)

Today’s release is the latest in our series of audio versions of our articles. In this one, we go through 30 global issues beyond the ones we usually prioritize most highly in our work, and that you...

28 Elo 202032min

#85 - Mark Lynas on climate change, societal collapse & nuclear energy

#85 - Mark Lynas on climate change, societal collapse & nuclear energy

A golf-ball sized lump of uranium can deliver more than enough power to cover all of your lifetime energy use. To get the same energy from coal, you’d need 3,200 tonnes of black rock — a mass equivale...

20 Elo 20202h 8min

#84 – Shruti Rajagopalan on what India did to stop COVID-19 and how well it worked

#84 – Shruti Rajagopalan on what India did to stop COVID-19 and how well it worked

When COVID-19 struck the US, everyone was told that hand sanitizer needed to be saved for healthcare professionals, so they should just wash their hands instead. But in India, many homes lack reliable...

13 Elo 20202h 58min

#83 - Jennifer Doleac on preventing crime without police and prisons

#83 - Jennifer Doleac on preventing crime without police and prisons

The killing of George Floyd has prompted a great deal of debate over whether the US should reduce the size of its police departments. The research literature suggests that the presence of police offic...

31 Heinä 20202h 23min

#82 – James Forman Jr on reducing the cruelty of the US criminal legal system

#82 – James Forman Jr on reducing the cruelty of the US criminal legal system

No democracy has ever incarcerated as many people as the United States. To get its incarceration rate down to the global average, the US would have to release 3 in 4 people in its prisons today.  The ...

27 Heinä 20201h 28min

#81 - Ben Garfinkel on scrutinising classic AI risk arguments

#81 - Ben Garfinkel on scrutinising classic AI risk arguments

80,000 Hours, along with many other members of the effective altruism movement, has argued that helping to positively shape the development of artificial intelligence may be one of the best ways to ha...

9 Heinä 20202h 38min

Advice on how to read our advice (Article)

Advice on how to read our advice (Article)

This is the fourth release in our new series of audio articles. If you want to read the original article or check out the links within it, you can find them here. "We’ve found that readers sometimes...

29 Kesä 202015min

#80 – Stuart Russell on why our approach to AI is broken and how to fix it

#80 – Stuart Russell on why our approach to AI is broken and how to fix it

Stuart Russell, Professor at UC Berkeley and co-author of the most popular AI textbook, thinks the way we approach machine learning today is fundamentally flawed. In his new book, Human Compatible, he...

22 Kesä 20202h 13min

Suosittua kategoriassa Koulutus

rss-murhan-anatomia
voi-hyvin-meditaatiot-2
rss-narsisti
psykopodiaa-podcast
adhd-podi
rahapuhetta
rss-uskonto-on-tylsaa
rss-liian-kuuma-peruna
rss-rahamania
kesken
rss-vapaudu-voimaasi
rss-niinku-asia-on
salainen-paivakirja
rss-duodecim-lehti
rss-tietoinen-yhteys-podcast-2
rss-koira-haudattuna
aloita-meditaatio
mielipaivakirja
esa-saarinen-filosofia-ja-systeemiajattelu
filocast-filosofian-perusteet