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Archive: https://archive.today/T0rhf

From the post:

>When we set out to build geospatial risk scores for vehicle crashes at Matrisk AI, we never expected that a side by side look at Vehicle Identification Numbers and crash timelines would hint at possible insurance fraud. But data sometimes surprises you. Below, I’ll walk through how we stumbled upon this discovery, what we found, and why it might matter for anyone insuring vehicles.

Archive: https://archive.today/T0rhf From the post: >>When we set out to build geospatial risk scores for vehicle crashes at Matrisk AI, we never expected that a side by side look at Vehicle Identification Numbers and crash timelines would hint at possible insurance fraud. But data sometimes surprises you. Below, I’ll walk through how we stumbled upon this discovery, what we found, and why it might matter for anyone insuring vehicles.

(post is archived)

[–] 1 pt

In a nutshell insurance companies cook the numbers to fuck their customers.

[–] 1 pt

Yeah, that is very much the TLDR.