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Assorted Thoughts #1: Applying Averages

This is a cross-post by Anonymous Mugwump

This series contains some of the key books, studies, papers and events that I’ve read over the last year. I’ve decided to try to write one of these posts for two reasons. First, because as I finish books, I want a record of some the key insights from them both because it’s useful to refer to and because it might be interesting for other people to read. Second, because it provides a nice little glimpse into the topics that keep my occupied in a particular year and allows for me to track how my thoughts on them develop. In an attempt to publish more and shorter posts, each topic will be a separate post.

#ApplyingAverages Long Live Cohen’s D

This topic, more than any other, has occupied my mind over the course of 2017. It’s a huge shame that it’s not a topic of discussion in public discourse and I think it’s hugely important to have mainstream voices take it on. The issue flared up during the public fallout from the “Google Memo” – but it was an issue I was thinking about in the context of immigration last year. I now feel comfortable that my thoughts on this have fully formed and set them out in detail here.

Consider the following findings:

An analysis of the available FBI data by Vox’s Dara Lind found that US police kill black people at disproportionate rates: Black people accounted for 31 percent of police killing victims in 2012, even though they made up just 13 percent of the US population (Vox, 2017).

As shown [reproductive women in the US who had] ever [had an] abortion, sterilization, and methods of contraception increase the likelihood of divorce compared to ever married women who have never used these methods of family planning from one to two times the risk of divorce, having an abortion in the past twelve months did not meet statistical significance (Fehring (2015))

The physiological differences between the sexes disadvantage women in strength-based and aerobic fitness tests by 20 to 40%; so for the same output women have to work harder than men. Despite the differences, there will be some women, amongst the physical elite who will achieve the entry tests for GCC roles. But these women will be more susceptible to acute short term injury than men: in the Army’s current predominantly single sex initial military training, women have a twofold higher risk of musculoskeletal (MSK) injury. The roles that require individuals to carry weight for prolonged periods are likely to be the most damaging… On recent operations women experienced a 15 to 20% higher rate of Disease Non Battle Injury (DNBI) (“Women in Ground Close Combat Review Paper”, Ministry of Defence Review, December 2014).

Young black people are nine times more likely to be locked up in England and Wales than their white peers, according to Ministry of Justice analysis picked up by Lammy. The BAME proportion of youth prisoners rose from 25% in 2006 to 41% last year (The Guardian on the Lammy Review)

66% of global terrorism [in 2014 was] attributable to just four groups: Islamic State (Isis) in Iraq and Syria, Boko Haram in Nigeria, the Taliban in Afghanistan and al-Qaida (The Guardian on the Global Terrorism Index 2014)

Rates of estimated diagnoses of HIV infection, rates of people living with HIV, and rates of P&S syphilis were higher among MSM than among other men or women.. The rate ratios indicate disparities between MSM and other men and MSM and women. Comparing MSM to other men, the estimated rate of diagnoses of HIV infection in 2008 was 59 to 75 times as high, the estimated rate of MSM living with a diagnosis of HIV infection was 38 to 48 times as high (Table ​55), and the P&S syphilis diagnosis rate was 63 to 79 times as high (Purcell et al (2012))

84% of ‘grooming gang’ offenders were (South) Asian, while they only make up 7% of total UK population and that the majority of these offenders are of Pakistani origin with Muslim heritage (Qulliam (2017)).

The point here is not whether any of these findings are true, but how we should act if they were. Could it be said that, for example, on the basis that women on average “experienced a 15 to 20% higher rate of Disease Non Battle Injury (DNBI)”, they should not be allowed in to serve in direct combat roles? Should the different infection rates among homosexuals vs  heterosexuals mean they shouldn’t be able to donate blood, or, as Heritage stated back in 1994, the “risk of AIDS is itself sufficient reason to deny gays the privilege of serving in the U.S. military”? Or that given we see average differences between races in the crime stats that the criminal justice system is prejudiced? Or that given that Muslim groups are responsible for a majority of global terrorism that we should have a ban on Muslims entering the country.

You can clearly see why I think this area requires mainstream voices actively talking about the issue. These are the implications that reactionaries and nativists come to. Without an intellectually (and, more particularly) statistically response to these policies, a raft of illiberal policies or policies that can cast doubt on our institutions can be justified. And without actually engaging with the statistics or the arguments, we are potentially left vulnerable to believing dead dogmas, or worse, having our institutions affected.

Do read the rest of the post here