Philip Tetlock’s research on the qualities of Super-forecasters explains why forecasting is hard and how diverse models and systematic thinking can help close the gap.
We discuss:
Improving predictions by regularly updating data
The Brier Score and why it really matters
Why larger samples permit more accurate short term predictions
The difficulties with the “Long Now” narrative
Hosted by Adam Butler, Mike Philbrick and Rodrigo Gordillo of ReSolve Global.
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