Conservative
A place to discuss pro-conservative stuff
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Yeah, this article is trash...
But!
This bit comes from the Crime Prevention Research Center. It pisses me off that the reader has to do the leg work for finding the article's sources, but...their sources are there.
Then...why don't those jurisdictions report their data? That's not the FBI's fault. It works with what it has. Moreover, how as the CPRC fixed this problem? Are these jurisdictions reporting to the research center but not the FBI for some reason? Highly doubtful. So, I'm not sure why we'd trust the CPRC over the FBI.
This is literally just the nature of statistical analysis. It's why in my state people are like, "crime is definitely increasing!" and the police are like, "Our statistics show that crime is decreasing." When multiple slashed tires are reported as a single instance of crime rather than an instance for each tire or each car, there's going to be a difference in how crime is perceived between the public and officials.
This is an unsubstantiated claim. It's their job to provide evidence for it since they made the claim. I have no reason to believe this is true.
The conclusion here is woefully unsupported. While the statistics are skewed, they might be good enough. I'm not going to get into the problems of statistical analysis, but suffice it to say that sometimes, good enough is good enough. The article certainly didn't offer a more accurate alternative.
And really, the implied argument that statistics that support gun control are an attack on our "freedom" is just straight, grade A, unadulterated nonsense. I really wish people would make that argument explicit rather than just asserting it like it's true. And the slippery slope he derives, "our rights will inevitably diminish" is a cute rhetorical trick that tries and fails to absolve him of making the argument that it is in fact inevitable.
It’s worse than that. LA and NYC failed to report because of the NIBERS changeover but only because there’s a grace period for reporting to the FBI as they comply with the changeover. Everything about this article is dishonest.
https://www.nationalgunrights.org/resources/news/cdc-removed-defensive-gun-use-stats-after-pressure-from-anti-gunners/#:~:text=According%20to%20The%20Reload%2C%20last%20summer%2C%20the%20CDC,that%20stat%20to%20their%20website%20under%20%E2%80%9Cfast%20facts.%E2%80%9D
This easily veers into the problems of statistical analysis.
The inclusion of the 2.5 million DGU numbers hinges on what counts as a defensive gun use. According to "The Reload", on which your link is based:
But what's Gary Kleck's methodology, the means by which he estimated the 2.5 million DGUs?
By pure coincidence, The Reload doesn't cover that explicitly. It merely alludes to the fact that he extrapolated that amount.
So, doing their research again since people can't seem to do it themselves (also, thank god for AI...really makes this process go way faster), here's analysis of their work by David Hemenway, a professor of health policy at Harvard.
I'm going to quote the entire "The Kleck-Gertz Survey" section of that paper:
Conducting a survey like Kleck did would be like if I did a survey of Trump support from /c/conservative, and took the proportion that said they do, and multiplied it by number of accounts in the Fediverse. Do you really think that's representative of support for Trump across the fediverse? If you do, you're just wrong. If you don't, then you shouldn't accept Kleck's haphazardly generated 2.5 million number either.
The inclusion of the 2.5 million DGUs isn't a political issue, though gun rights activists make it out be. It's a one of statistics, and statisticians say his methodology is trash. No matter what you want to believe, no matter how hard, the 2.5 million DGU's is far, far more probably false than it is true..
Great response! I’ll further add that the OP article does the exact same thing. It redefines the metric to be more favorable to its narrative despite not being the metric by which any agency in the country measures these numbers and then it fails to explain its own methodology and why that is more accurate. It’s dishonestly redefining its terms while ignoring all the issues inherent with this data in the first place.