The way statistical sampling works, 1000 people in a population of 300,000,000 is actually good enough for most things. You can play around with numbers here to convince yourself, but at 95% confidence 1000 people will give an answer to within 3% of the true answer for the 300,000,000 population.
Suddenly trying to convince all my friends and family I’m from France.
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Lol, I’m sorry you’re getting downvoted for speculating about improving weights and measures in a thread about wanting better weights and measures.
I kinda thought the title made it clear I was an American.
DST is good actually. Fite me.
I just fucking tried to look up cholegolasterol.
Check out Ecosia. It’s the same thing, but your searches plant trees in a responsible manner.
I think that’s the funniest part. Like, as far as I know, the regular Assistant uses the same approach to handling data that buzzword AI things use, a neural network. But branding (and potentially internal company politics) is weird, so they decided to kneecap Assistant in order to make Gemini look better on release.
Hi, Bob!
I’d eat that. I wouldn’t make it, on account of being more effort than just washing your bowl, but I don’t anticipate that being anything unlike just eating a bell pepper after eating cereal.
Oh wow, thank you. I was thinking the second cat was blending into the first!
Displayed right side up for me on Jeroba.
I feel like at this point Google should ditch the annual OS level-up. Phones and their OSs have matured and pushing out a new version every year is just increasing the support Google has to provide without much benefit. I was running Android 9 until recently, and while I’m now on the 14 beta, I could easily see my current phone lasting long enough to outlive the current 5 years of security updates promised.
It really depends on what you use as your comparative variables when you do research to determine whether police prevent crime or not. Police budgets don’t impact the crime rate all that much once you’ve got enough to have a functional police department. But, police presence absolutely does deter crime. Increasing the belief that you’ll get caught doing a crime is the main service police provide with their presence, which is why police visibility in an area decreases crime.
When it comes to gun violence, we’re talking about fairly small and steady change in the numbers over the last 10 years, with a spike thanks to the gun buying in the pandemic. Nearly all the increases in gun violence before the panic buying was from men between the ages of 18 and 30. That’s basically the exact profile of the type of person most sensitive to environmental changes in terms of their willingness/impulses to do crimes.
Anyway so one of the subtle changes from the protests is that police departments just aren’t as willing to project a presence in minority neighborhoods, essentially trying to reduce their responsibility for bad stuff when it happens, so gun violence has gone up sightly in the young male minority group because they likelihood of getting caught feels like it’s gone down.
Look, I totally agree that police budgets are insane and have no justification. They could easily do their job on half the budget, if not less. That extra money would be much better spent on social workers, subsidized housing, and a whole bunch of other shit that would reduce crime a million times better than an MRAP. But, exactly how police do and do not deter crime isn’t as straightforward as a yes or no answer.
It’s also worth noting that crime is at a historic low, and it’s really only very specific types of crime that have seen a very small increase lately.
Eh, sensational gun violence is not the same thing as statistics. You always hear about police shootings and mass shooters, but they make up a tiny number of the total violence. The gun violence rate is probably going to hold steady this year, and might even drop, given that the economy is doing a good job in recovering from the pandemic disruption.
I think, at this point, with most people pretending like COVID doesn’t exist anymore, we’ll continue to have strong health effects from the pandemic, but probably not much else outside of those direct effects.
You miiiiight be able to make some claim about economic hardship through people who have to support others with long COVID and other COVID related health problems, but I don’t think it’s enough to show up in the gun violence statistics.
Dang, you know, most of the time when gun violence in America gets brought up it’s not with a particularly level head, but that article was pretty straightforward. About the only critiques I have being that:
Adding COVID-19 the list of things that kill fewer minors than guns is kinda weird, since the standard understanding is that minors are the least likely to experience strong negative effects from COVID-19.
Some of the increase in deaths in longer-term statistics for minorities comes from decreased policing, which itself is a response to the anti-police protests that have been going on since around 2014 or so. It should be fairly obvious that if police step back from your neighborhood, crime will go up.
But overall, spot-on. More guns = more gun deaths. They didn’t touch anything about the economic factors that lead to violence, but it was a very short statistics focused article, so I’m not gonna complain about that. That sort of analysis requires long-form journalism.
I mean, yeah, 1000 people is enough assuming there’s no sampling bias. But if you’ve got sampling bias, increasing the sampling size won’t actually help you. The issue you’re talking about is unrelated to how many people you talk to.
Your own suggestion of splitting up the respondents by state would itself introduce sampling bias, way over sampling low population states and way under sampling high population states. The survey was interested in the opinions of the nation as a whole, so arbitrary binning by states would be a big mistake. You want your sampling procedure to have equal change of returning a response from any random person in the nation. With a sample size of 1000, you’re not going to have much random-induced bias for one location or another, aside from population density, which is fine because the survey is about USA people and not people in sub-USA locations.