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615 points __rito__ | 1 comments | | HN request time: 0.001s | source

Related from yesterday: Show HN: Gemini Pro 3 imagines the HN front page 10 years from now - https://news.ycombinator.com/item?id=46205632
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modeless ◴[] No.46222213[source]
This is a cool idea. I would install a Chrome extension that shows a score by every username on this site grading how well their expressed opinions match what subsequently happened in reality, or the accuracy of any specific predictions they've made. Some people's opinions are closer to reality than others and it's not always correlated with upvotes.

An extension of this would be to grade people on the accuracy of the comments they upvote, and use that to weight their upvotes more in ranking. I would love to read a version of HN where the only upvotes that matter are from people who agree with opinions that turn out to be correct. Of course, only HN could implement this since upvotes are private.

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TrainedMonkey ◴[] No.46223194[source]
I long had a similar idea for stocks. Analyze posts of people giving stock tips on WSB, Twitter, etc and rank by accuracy. I would be very surprised if this had not been done a thousand times by various trading firms and enterprising individuals.

Of course in the above example of stocks there are clear predictions (HNWS will go up) and an oracle who resolves it (stock market). This seems to be a way harder problem for generic free form comments. Who resolves what prediction a particular comment has made and whether it actually happened?

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miki123211 ◴[] No.46229280[source]
> Analyze posts of people giving stock tips on WSB, Twitter, etc and rank by accuracy.

Didn't somebody make an ETF once that went against the prediction of some famous CNBC stock picker, showing that it would have given you alpha in the past.

> seems to be a way harder problem for generic free form comments.

That's what prediction markets are for. People for whom truth and accuracy matters (often concentrated around the rationalist community) will often very explicitly make annual lists of concrete and quantifiable predictions, and then self-grade on them later.

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1. Natsu ◴[] No.46234106[source]
You probably mean Inverse Cramer:

https://finbold.com/inverse-cramer-leaves-sp-nasdaq-and-dow-...