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Let's say I have a dataset containing crime statistics for a given city block, how would I go about estimating the probability of a crime occurring to me while I am on that block?

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    Also, there appears to be a hidden assumption that the probability of being a victim of a crime is spread uniformly across all humans in the area, which is so far from any reasonable reality as to render the whole exercise useless. If most of the crimes in the area are house burglaries, then just visiting someone who lives there carries _no_ risk of becoming a victim of that. Similarly if it's shoplifting and you're just living there (rather than running a business), or domestic assault and you're just walking through. Or, for that mattter, if it's all tax fraud and you're not the government.2012-07-18

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