You might think that headline is the big news. Not really. We already know red flag laws don’t work.
The news here is that Garen Wintemute, the victim-disarmament advocate who previously couldn’t find data he could not twist, finally hit a brick wall. And worse.
Firearm Violence Following the Implementation of California’s Gun Violence Restraining Order Law
VROs were not associated with reduced population-level rates of firearm violence in San Diego County, but this may change as the number of orders increases over time; the association between GVROs and firearm violence at the individual level cannot be inferred from our findings and should be the subject of future studies.
Wintemute is notable for crappy “studies” using bogus tools like synthetic controls (imaginary populations, because real populations wouldn’t support his predetermined “results”), tossing out most of the inconvenient data (because two-thirds of the subjects declined to kill themselves), and using personally identifiable data obtained through legally dubious means (so dubious that California tried to pass a bill to legalize it). He has also violated privacy rules with covert surveillance.
This paper was another example of a synthetic control; an artificial “San Diego.”
To estimate the association between GVRO implementation and firearm violence in San Diego, we used the synthetic control method, a quasi-experimental comparative case study design.
This was a particularly egregious example. To the extent that synthetic controls have any value, you build one by using data from populations (other California counties, in this case) with conditions and populations similar to the variable you wish to examine, except for the variable in question. That is, when studying the effects of a red flag law on a county, you would make up an imaginary comparison county from places that don’t have a red flag law.
All California counties were subject to the same statewide red flag law.
Properly, if you want to see the effects on San Diego County of the red flag law, you simply do a temporal analysis of per capita homicides and suicides in San Diego prior to law passage and after implementation. Wintemute didn’t need a synthetic San Diego to come to a conclusion; he already had real San Diegos without a red flag law (pre-2016) and with a red flag law (post-2016). You use a synthetic control when you don’t expect real world data to support your preculsion.
For example, one year after Florida passed a red flag law, homicides and suicides went up. That was especially nasty, because for two years prior to passage both rates had been declining.
Two years after the Florida law’s passage, and homicide and suicide rates were still increasing.
[Side Note: To anyone with an operational brain, this was… a no-brainer, so to speak. You have a potentially violent –to self or others — person. You piss him off, or depress him, off by stealing his property without due process. Then you simply leave him loose on the streets. WTH did they expect to happen?!]
So what was really happening in San Diego County?
Violent Crime Rate per 1,000*
2011: 3.49
2012: 3.75(up)
2013: 3.35 (down)
2014: 3.28 (down)
2015: 2.35 (up slightly)
2016: 3.3 (down) Red Flag Passes
2017: 3.41 (up)
2018: 3.42 (up)
2019: 3.4 (inch down)
2020: 3.45 (up)
2021: 3.74 (UP!)
The violent crime trend reversed post-Red Flag, to increase.
Suicide Rate per 100,000
2013: 12.9
2014: 12.5 (down)
2015: 12.0 (down)
2016: 12.0 (no change) Red Flag Passes
2017: 12.3 (up)
2018: 12.86 (UP!)
The suicide rate trend reversed post-Red Flag, to increase.
Such a surprise. Not.
Wintemute et al went with a synthetic control — showing no effect of the Red Flag law to hide the fact that no only did it have an effect, but it appeared to make things worse.
* Sorry; I had to go with Violent Crime Rate, which includes homicides, because multiple fast searches didn’t turn up homicide rates broken out separately. There’s only so much I can do without funding.
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