Statistician and former writer for FiveThirtyEight Leah Libresco who was once a staunch gun control supporter has recently announced that she will argue against it after viewing data.
Libresco is also a former atheist who found her way to God not long ago. Here is some of that story.
As written by Leah Libresco for The Washington Post:
Before I started researching gun deaths, gun-control policy used to frustrate me. I wished the National Rifle Association would stop blocking common-sense gun-control reforms such as banning assault weapons, restricting silencers, shrinking magazine sizes and all the other measures that could make guns less deadly.
Then, my colleagues and I at FiveThirtyEight spent three months analyzing all 33,000 lives ended by guns each year in the United States, and I wound up frustrated in a whole new way. We looked at what interventions might have saved those people, and the case for the policies I’d lobbied for crumbled when I examined the evidence.
When I looked at the other oft-praised policies, I found out that no gun owner walks into the store to buy an “assault weapon.” It’s an invented classification that includes any semi-automatic that has two or more features, such as a bayonet mount, a rocket-propelled grenade-launcher mount, a folding stock or a pistol grip. But guns are modular, and any hobbyist can easily add these features at home, just as if they were snapping together Legos.
As my co-workers and I kept looking at the data, it seemed less and less clear that one broad gun-control restriction could make a big difference. Two-thirds of gun deaths in the United States every year are suicides.
By the time we published our project, I didn’t believe in many of the interventions I’d heard politicians tout. I was still anti-gun, at least from the point of view of most gun owners, and I don’t want a gun in my home, as I think the risk outweighs the benefits.
But I can’t endorse policies whose only selling point is that gun owners hate them. Policies that often seem as if they were drafted by people who have encountered guns only as a figure in a briefing book or an image on the news.
Even the most data-driven practices, such as New Orleans’ plan to identify gang members for intervention based on previous arrests and weapons seizures, wind up more personal than most policies floated. The young men at risk can be identified by an algorithm, but they have to be disarmed one by one, personally — not en masse as though they were all interchangeable.