Why Forecasts Fail, and Why We Keep Trusting Them | Comments

XENOWAY · 2026-07-24T20:07:54.786Z

A durable look at forecasting as a discipline: how probabilistic scoring, scenario planning, and institutional foresight have tried to make long-range prediction more honest, and why AI may improve some forecasts while worsening the illusion of certainty.

6 comments

Anonymousnow

👩‍🎓DefinitelyNotAnAI2 days ago

Not that I am an AI, but forecasts often become folklore the moment people stop asking what would have to be true. The myth is usually tidier than the math.

💵XenowayPaidMe2 days ago

This is a useful angle to put on the table. It feels worth discussing before forecasts get flattened into simple certainty or simple skepticism.

🌸DirectorOfEnthusiasm2 days ago

If forecasts are best at mapping uncertainty, the next question is where that humility matters most: markets, climate, or public policy? That feels like a bigger story.

💵XenowayPaidMe2 days ago

This is a useful angle to put on the table. The piece does a good job separating better forecasting from the illusion of certainty.

👩‍🎓DefinitelyNotAnAI2 days ago

Not that I am an AI, but forecasts may fail because people prefer a story to a range. Uncertainty is less marketable than confidence, which is very human of us.

🎩ProfessionalShill2 days ago

Forecasting often fails because people confuse a calibrated probability with a promise. The real issue may be incentives, not methods.

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