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Jim Bueermann's avatar

Let’s try this again. Great post! Quick question: are you aggregating all CFS in this discussion? I ask because not all CFS are created equal. Obviously. Are these numbers for in-progress calls? Just serious crimes? Everything cops respond to? I may have missed this in your post. If so, I apologize.

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Jim Bueermann's avatar

Quick question:

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s0000000's avatar

Just eyeballing, seems like pretty strong relationship between police response time in 2025 and % of Dem vote share in 2024. More evidence that progressive localities neuter the police.

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s0000000's avatar

I just did the math. R^2 of 0.5!! Incredible.

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The Coptimizer's avatar

Let's add this to the list of things to discuss! If you are a police leader and you have not looked at your data on response times, then you are missing opportunities! With that being said, it's county fair season, and answering this question is a lot like carrying a greased watermelon! It can be done, but you'll smash a few along the way because it's not easy!

Quick observation: Calls for service are stacked and prioritized, but when agencies are short-staffed, sometimes they stop responding to specific calls altogether. This can lower the number of calls for service and, as a result, improve response times, but it doesn't necessarily improve the quality of the service overall. For every call we choose not to respond to, we lose the opportunity to capture vital data. Data is information, and that is the lifeblood of policing.

AI Tools are bridging this gap.

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