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The aim of the challenge is to predict crime hotspots which for the most part don't vary much I'd think? The challenge then becomes identifying cluster density as a function of time which might mean using past data makes sense.

Why is it flawed. Crime hotspots are usually cyclical varying with seasons and weather like she points towards the end. There are other factors. You might be thinking of stock markets which is a different thing.

Doesn't that assume a stable population and a consistent economy?

I couldn't understand the argument, can you elaborate with some technical/scientific references ?

P.S: I am not the OP