This figure shows the number of births that were “lost” in Japan due to falling birthrates since 2010. Nearly 1 million over just 10 years! Shocking! But no outcry from western thinktanks. Let’s discuss attributing sinister motives to good policy in @adrianzenz 's latest work
2/ here is the report, it’s a preprint and also accepted at the journal Central Asian Survey. papers.ssrn.com/sol3/papers.cf…
First, let’s discuss authorship. I don't think @adrianzenz reads Chinese, so how is he finding/translating these articles? He is the only author on this paper, but there must be another. Is there, Adrian? How are you finding and translating these articles?
Second, let’s discuss funding. SSRN health science preprints require a statement about who funded the paper, but there is no such statement. Central Asian Survey (where it’s accepted) requires a funding statement. We know it's funded - why is there no funding statement?
Third, let’s discuss literature review. Zenz cites Chinese scholars in his report but gives us no information about how he selected references. Which journal databases did he search, with what terms, over what time period? How did he screen articles?
Without a clear methodology for article search and screening this is just a curated set of opinions, not a reflection of real “discourses” (his word) about population control in China.
On page 8 Zenz claims that there is a “repeated theme” of “national security”. How did he identify this theme? He has not done a systematic review of the literature, and he has performed no thematic analysis. There are methods for this kind of research, and he hasn’t used any.
Now let’s discuss data. The paper has no Methods section so we cannot learn what Zenz has done, but must infer it from reported data. There are lots of tricks with the data.
For example on page 3 he reports a sample of 63 counties, but only mentions in a footnote that many of the counties’ data is actually the prefecture’s data. This information is meaningless.
Again he ignores natural variation and carefully selects baselines. He says growth rates in 4 southern prefectures fell by 73% from 2015 to 2018. But growth rates in these prefectures vary by up +100/-50% every year. What does it mean to say they fell 73% in 3 years?
For example Aksu had a single peak in 2015 – otherwise rates have been declining since 2013 and probably longer. I have challenged Zenz and @Nrg8000 on this before and they say nothing because they know they’re running a con.
Also I pointed out to @Nrg8000 before that the Xinjiang Yearbooks don’t agree with county websites. The data in the yearbooks varies much more than that on websites. Kashgar city growth rate in 2018 is 3.96 on their website; it’s 6.93 in the Yearbook. Why?
Back to variation: This ignorance of variation is telling. Zenz reports that Bachu has an “expected” death rate of 5 – 7 per 1000. How did he get this? The long-term average is nearly 10.
Incidentally, as an example of his ignorance on this issue, on page 17 Zenz calls Pakistan “a Muslim country without family planning”. Actually Pakistan signed up to the FP2020 initiative in 2012, and does have a lot of family planning. familyplanning2020.org/pakistan
I have referenced Muslim nations’ family planning before. Let’s explore Pakistan’s. In Pakistan, 35.7% of women are sterilized. Pakistan averted 3.6 million unintended pregnancies since 2016 and prevented >1 million unsafe abortions. @adrianzenz: Is this genocide?
Finally let’s discuss Zenz’s population model. I don’t know what he did, because there is no methods section in this paper, but it appears that he projected the population forward to 2040 using data from the Xinjiang Yearbooks. This is bad.
This is bad because the Yearbook only provides very broad population data which creates huge errors. Furthermore Zenz uses the 2017 data, but there is so much variation that he would get a completely different result if he used a different year’s data.
The correct approach would be to model over the 2012 – 2018 period and calibrate the model to get the best growth, birth and death rates. An even better approach would be to not engage in such a speculative process with the limited available data.
(Incidentally why do all these reports start in 2012 ...?)
If Zenz wants to study demography in China he should find some Chinese collaborators and do it properly. In the meantime, he could share his excel files so we can see how shoddily he has modeled this data.
It’s not possible to say more than this about the paper because it is poorly written and has no clear methods. It is obviously weak and speculative and should not have been published. Again, it is also malicious.
I said before that it is very dangerous to present the benefits of birth control strategies as genocide. Here Zenz has gone further and pretends that the averted births are somehow a form of genocide. Is every country in Asia conducting genocide on its own people?
Finally, I want to talk about what Zenz’s implicit assumptions about Uyghur and Muslim women. We saw recently that births in China fell 18% this year. Zenz doesn’t care about that at all! theguardian.com/world/2021/feb…
Nobody is worried that non-Uyghur Chinese women are being forced to this. It’s only Uyghur women. Why does Zenz think Pakistan has no family planning and Uyghur women are being forced to use family planning?
Western reporters believe the Muslim world wants women barefoot and pregnant, and that given autonomy the women of the Muslim world would not choose anything else. This is a racist assumption that has been proven wrong across Asia. But this is what animates these reports. /end

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More from @drStuartGilmour

22 May
@adrianzenz @Nrg8000 @ASPI_org @GuardianAus This figure shows the change in birth rates in Japan from 1985 to 1990, with the municipalities where the change was >30% shown in red. Let’s talk about the problem with using demographic data to try and prove genocide. Image
@adrianzenz @Nrg8000 @ASPI_org @GuardianAus As you can see from that figure, birth rates in some municipalities (市区町村) in Japan dropped by more than 50%. Here are some example trajectories from 1970 – 2010. Image
@adrianzenz @Nrg8000 @ASPI_org @GuardianAus Let’s look at Prefectures, which have more stable populations, plotted by median drop: 50% of the prefectures saw a drop bigger than 17%. Prefecture populations in Japan range from 600,000 to 11,000,000, the same range as in Xinjiang. Image
Read 15 tweets
19 May
Since I have a lot of new followers, many from China, I thought I would share some of my research with Chinese colleagues that I have been working with since 2011. In particular I work a lot with colleagues in Sun Yat Sen U, on health system and HIV topics in China. [1/9]
First, I have worked with colleagues at SYSU on mathematical models of HIV in men who have sex with men (MSM) in China, to estimate the benefits of Pre-exposure prophylaxis (PrEP) [2/9] bmcinfectdis.biomedcentral.com/articles/10.11…
We have also studied HIV incidence and risk factors in collaboration with Chinese non government organizations (NGOs). We showed a long-term decline in HIV incidence in Chengdu, in my first trip back there in 15 years (everyone loves Chengdu!) [3/9] bmcpublichealth.biomedcentral.com/articles/10.11…
Read 9 tweets
16 May
@aspi_icpc @Nrg8000 @jleibold
I reanalyzed the data from your “family de-planning” report. Contra your findings, “coercive birth control policies” in Uyghur-majority areas had less effect than in Uyghur-minority areas. How do you explain this?
@aspi_icpc @Nrg8000 @jleibold In fact we can build a better model that shows “coercive birth-control policies” were less effective in Uyghur areas. It explains more of the variation than the figures in your report. Why did you not present this model?
@aspi_icpc @Nrg8000 @jleibold In this model, we see birth rates drop more when the baseline is higher. In Uyghur-minority areas, every 1% increase in baseline birth rate gives a 4.4%(point) drop in birth rates. In the southern prefectures, this drop is only 1.0%(points). Why?
Read 15 tweets

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