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It's interesting that you support a Johns Hopkins piece with... a John Hopkins piece. That's a bit like doubling down on Everytown.
That particular claim is built upon some incredibly sketch analysis. This is the most common backing source.
The methodology:
There's already a flaw here - bias in selection. By prioritizing 11 of the ~20k cities, towns, and villages in the US which has the highest counts of domestic violence murder of the female, they're skewing away from instances where there's... less murder. Of course your homicide rates are going to report higher, no matter what the risk factor.
It gets better, though - they skew numbers further by eliminating those with a history of abuse and those just too old to care about:
It's interesting they don't actually note what those cities are - it would be good to know if there are other notable stats e.g. crime rate, poverty, safety nets, so on. Heck, they recognize such:
I'm going to go out on a limb and suggest Wichita isn't a model of prosperity and social safety nets.
That brings us to another flaw - this study isn't interested in identifying the spread and impact of all risk factors but instead is only interested in confirming presence of an already-suspected risk factor - another problem they recognize:
This flaw entirely precludes consideration for the whether or not the presence of the firearm was material in the person's decision to murder e.g. impulsivity, whether or not they'd have just used another implement, etc.
That brings us to the most egregious flaw - simple, classic misleading through emotional appeal. Setting aside the selection bias and risk of over-representation, what is the actual rate and actual factor? You'll note none of the studies seem to actually address this. Going with Violence Policy Center's analysis of 2019 data, they at least provide numbers:
So, in 2019, a given woman was subject to odds of five ten thousandths of a percent (1,795/~330 million) likely to be murdered in domestic violence. If we extrapolate up to an expected life span of, say, 80 years, a given woman has been exposed to an ~0.04% total likelihood of being murdered in domestic violence. Oh, but that would hypothetically only be ~0.009% without those firearms; clearly they're the problem.
This source also provide a breakdown of implements:
Despite the arguments made regarding how firearms are the devil for making murder so easy, fists and knives gave an incredible showing of ~1/3 the murders. Notably, John Hopkins provides no hyperbole about knives. Weird, that. Notably absent is any implication of the presence of any of those items increasing risk.
This data also highlights clear skew toward some states regarding domestic violence homicide rates. Want to place a bet on where significant portions of the John Hopkins data came from?
Ultimately, we're left with not a lot of support for Johns Hopkins' stance - which makes sense, as they can't really seem to support it either.
I'm all for addressing domestic violence, but let's not lie to ourselves and pretend it's all sunshine and rainbows without firearms, and let's not thoughtlessly share the conclusions of biased sources as if they're meaningful - we've had enough erosion of sense over the last decade.
This is a lot of splitting of hairs on your part. Are you a social scientist and a statistician? If not, I will defer to the experts on this. The amount of unreported domestic abuse dwarfs the amount that is reported. Also, solely focusing on deaths is a misnomer. Being threatened by an abuser with a gun is rather common and also detrimental to the mental health of the victim.
I'm not sure I'd consider criticism of Johns Hopkins tendency to make assertions not supported by underlying sources and tendency to use sources with glaring methodological flaws and myriad biases to be merely splitting hairs - the distinctions highlighted are both substantial and serious.
I am a software engineer. Analysis is my bread and butter.
You'll note my criticism isn't of their ability to compute statistics, but rather the methodology used for identifying data points for consideration having flaws skewing outputs and for their survey being an exercise in confirmation bias.
Feel free to defer to others - however, please understand you're also waiving your right to reference or discuss this study when you decide you aren't going to bother to understand it and what it's actually stating. I'm not comfortable opting to skip the critical thinking phase, but you do you.
Nifty. I'm not sure how the homicides would be under reported, though - given that's the subject.
You may have meant methodological flaw.
Either way, given the subject was deaths as raised by Johns Hopkins, feel free to provide them such feedback.
I'm sure they'll get right on it.