From the article.
Studies by Mielke and Zahran (2012), and Feigenbaum and Muller (2016) provide further evidence that lead is the main culprit in crime reduction.
Lead seems to be the reason, not abortion rates. Levitt and Donohue don't engage seriously with the Lead hypothesis as there are many compelling studies supporting Lead. They only engage with the weakest research. I'm not impressed. I worry that Levitt and Donohue are just adding wood to racist fires and their work will be used by bigots, fascists, and racists around the world. It's irresponsible work.
I don't find Levitt and Donohue very persuasive, but Levitt does seem very data-driven.
> Lead seems to be the reason, not abortion rates. Levitt and Donohue don't engage seriously with the Lead hypothesis as there are many compelling studies supporting Lead. They only engage with the weakest research.
The accusation is that they are ignoring research that might disprove their point, while at the same time are using weak research that they can easily refute to try to downplay the stronger arguments they refuse to engage with. Now I personally haven't read the paper, so I do not know if this is true, but it does answer the question you asked as to what OP thinks is irresponsible.
OP's accusation is that they Levitt and Donohue are irresponsible because the ideas they're investigating could be "used" by "fascists" and "racists".
Parent is questioning the idea that scientific inquiry should be restricted because it might reveal facts or open ideas that harm a preferred political program.
You are not answering that question. You're just talking about the quality of research, which isn't really the point here. It's whether the research should be done/allowed at all if it could harm a particular political ideology.
I mean, I think that's kind of what OP was saying. Just go a little more extreme: Would it be responsible to publish science that you knew for certain would be used by others to justify genocide, even when there were other, better supported ideas to explore? I think we can agree that it would not be responsible. So where does the line get drawn? I don't know--I'm not going to draw it.
And let's not reduce big baddies like racism and fascism down to mere "political ideology". We're not talking about tax policy here.
This is part of a particular strain of scientism that holds that "science" is or can be apolitical, so finds acknowledgments of the actual social-political world that it inhabits as heretical.
Once we give up on finding the actual truth then we're on the road to hell, as demonstrated so many times by past societies that put ideology ahead of truth.
And if you think the truth leads to you committing genocide, I think you have some of your own moral development to do. If your belief in human dignity is conditional on people being the all the same, your belief in human dignity is very weak.
E.g. Some people think the lack of affirmative action is racism. Some people think the presence of affirmative action is racism.
Once you actually try to think about issues instead of label them, you'll realize that these are indeed matters of political ideology.
Go past the thought-stop sneer words and investigate what people actually want and mean.
Even if the statistical tools were developed by eugenicists, does that mean we shouldn’t use them? How would you restrict their use?
All you have to do is study the mathematics to understand why. For example, why use correlation at all here? Correlation assumes a LINEAR relationship. No such justification is made in their paper of why a linear relationship should exist here.
Those pushing things like correlation to IQ have the same problem as IQ is a non-linear relationship. Are these ideas appropriate to other problems? Yes, correlation and statistical significance are useful tools when applied to the right problems. But they are not appropriate here.
Unfortunately most have a basic course in statistics and have no knowledge about the history of these tools. So they get convinced by charlatans who wow them with statistics.
Statistics are great tools to lie with because so few people understand what things like 'correlation' mean and things like statistical significance. So they see papers like this and get wowed.
Here is a good article from Nature about Fisher and his history on eugenics. (https://www.nature.com/articles/s41437-020-00394-6)
In other words, justifying abortion as a way to control crime is disgusting and you can thread the needle from eugenics to Levitt and Donahue. Abortion should be justified on it's merits of reducing suffering of women, not some way to reduce crime.
>Even if the statistical tools were developed by eugenicists, does that mean we shouldn’t use them?
> Those pushing things like correlation to IQ have the same problem as IQ is a non-linear relationship. Are these ideas appropriate to other problems? Yes, correlation and statistical significance are useful tools when applied to the right problems. But they are not appropriate here.