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jandrewrogersyesterday at 6:13 PM5 repliesview on HN

This is an existing problem with physical world sensing. Some data models are already heavily polluted by people manipulating observations for various purposes. Most people who rely on those measurements are just collateral damage. Prediction markets provide yet another incentive. It is far more difficult to reliably get at "ground truth" than I think people imagine.

Unlike computing systems, the physical world is a shared mutable environment. It is effectively impossible to lock people out so that you can get a reliable, clean measurement even when people are not intentionally sabotaging the data model.

There are ways to robustly clean this up analytically but it is largely beyond the capabilities of current tech stacks.


Replies

dymkyesterday at 6:29 PM

Manipulation of datasets is something that already existed, yes. But what betting markets do is create more incentives to screw with the real world.

You're right that this isn't a technical problem, it's a social one. This is why most sports leagues simply banned betting... until recently, now that gambling companies have bought their way in. The players always end up manipulating games.

AgentMattyesterday at 6:34 PM

> There are ways to robustly clean this up analytically but it is largely beyond the capabilities of current tech stacks.

Can you expand on that? Even just conceptually that sounds really hard, how would you know whether you're measuring genuine (unexpected) changes in the environment rather than the result of (possibly sophisticated and coordinated) deliberate manipulation?

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pavl-yesterday at 6:28 PM

"Some data models are already heavily polluted by people manipulating observations for various purposes"

Example of this?

ambicapteryesterday at 9:50 PM

> for various purposes.

What kinds of purposes?

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functionmouseyesterday at 6:31 PM

that argument is insane