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I'm surprised two people are debating this. Statistics over small timescales, e.g. months, will not be as accurate as statistics over large timescales. This is
by bingohbangoh 5y ago
I'm surprised two people are debating this.
Statistics over small timescales, e.g. months, will not be as accurate as statistics over large timescales. This isn't disputed (unless it is? I'd be curious if you know people who think statistics with fewer numbers are more accurate than statistics with more numbers.
As for if a few months of data was enough to proclaim victory, NYC's current surge in crime seems evident to me that a few months was not enough data.
As for if this is directly relevant to the surge in crime, I leave that to your own conclusions.
As for why I picked two years, it was an arbitrary guess. My point is that we need more data before announcing "bail reform solved problems."
- redis_mlc 5y ago> I'm surprised two people are debating this. With Marxists, everything is a debate until their side wins. As we're seeing with the murder rate, Afghanistan and the southern border, that means we all lose as a country.
- BoorishBears 5y agoYou're being insultingly disingenuous. No one argued that statistics over a larger time will not give more signal. We all know what basic stats is. The question is why you get to override the opinion of the people directly involved on what a suitable period of time is. It's farcical to imply that a period of time defined by the people who are literally on the ground for this is somehow unacceptable, yet the unit of time you literally pulled out of your behind (oh sorry, "arbitrarily guessed") is somehow acceptable. - "Small timescales" is relative to what is being measured in case you didn't know... for some observations 30 seconds is an eternity... So what about we leave determining what a suitable timescale to make observations on is to the people who aren't making arbitrary guesses from their armchairs and were literally watching this unfold in their day to day lives.
- larksimian 5y agoGiven the national nature of the increase, it's unlikely that a local measure caused it, it's probably pandemic-times related. That being said obviously a longer time scale is better for trend detection than a shorter one.... Oooor is it dundundun :D since if you pick too long a timescale then you get additional events muddying the causality, like aforementioned pandemic. That that that being said public policy changes are chaotic things that can have one effect in the short run a different one in the medium term etc. It's kinda meaningless to declare victory or defeat, as society's interaction with laws evolves over time.