After Car2Go eased its background checks, 75 vehicles were stolen in one day

Re:After Car2Go eased its background checks, 75 vehicles wer... by TeMPOraL on Monday July 15, 2019 @02:06AM (#20438528)

If a control system's output is uncorrelated with what it is controlling, then it's not really controlling it.

Also, to see a clear linear correlation, you might need to know what you're looking for. A controller output may look uncorrelated with the target system state, until you realize it's a I controller, so you need to look for correlation between controller's output and the integral of the system's state.

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Re:After Car2Go eased its background checks, 75 vehicles wer... by DougBTX on Monday July 15, 2019 @03:25AM (#20438805)

Let’s say there is a system that controls whether a second system receives input from random source A or random source B, and there is some difference in the distribution of values generated from each source.

Starting without knowing the relationship between the two systems, is there a good general approach that could pick out what it is doing?

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Re:After Car2Go eased its background checks, 75 vehicles wer... by barrkel on Monday July 15, 2019 @03:55AM (#20438916)

Replace the system with one that chooses A only; replace it with one that chooses B only; analyze distributions; analyze original system.

Or replace A with known non-random source, and then B, and analyze.

I'm not sure what the argument is though. If something has an effect, there will be a correlation. Measuring the correlation may require modifying the system. We've known that measurement unavoidably affects the system under measurement for some time now. It's just a matter of degree.

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