The Blitz (nazi terror bombing campaign of the UK) killed 40-50,000 people in a population of 41 million. #COVID19 has killed 130,000 people in a population of 65 million people – it is nearly twice as bad as the blitz. Let’s compare responses. Image
In response to the bombing of urban centres the UK Tory government evacuated a million women and children to the countryside, introduced a curfew, enforced a blackout and banned certain forms of speech harming the war effort. Image
They moved schools to the country or closed them, causing major social disruption. historyextra.com/period/second-…
They also provided support for sheltering from bomb attacks, built up a huge force of anti-aircraft guns and rushed aircraft and pilots to defend the skies. They deployed radar for the first time to help in early warning and prediction. Image
Imagine instead how modern Britain would have responded to this crisis. The government would have delayed declaring a blackout, and right-wing newspapers would argue it was an excessive curtailment of civil liberties. Image
The PM himself would say “I will use as many garden lights as I want” and promptly see his house blown apart; The Sun would publish pictures of him bravely in hospital and worry about how bad things would be if he had caught one. Image
Spiked would argue that the real threat to British liberties is not the massed Nazi forces in France but the curfew. Government ministers would agree and take on Spiked writers as advisors. Image
Dido Harding would oversee a program that siphoned 35 billion pounds of public money to Tory mates to build an air raid warning system only dogs could hear. Image
Reports of huge masses of bombers over the UK coast would be dismissed as the result of using “too much radar” (if we were using sonar it would no doubt be derided as a “Pingdemic”). Image
Rich business leaders would demand an end to evacuations and blackouts because they couldn’t find staff and their businesses were being damaged. Image
Some American economist on twitter who had built a model that correctly predicted 4 of the last 4 elections would get 90,000 likes for wrong theories and snarky comments about how experts on air warfare don’t understand gravity.
Daily Mail editors would hint darkly that the main victims of the bombing raids were people with disabilities and poor people so who cares anyway? Conspiracy theorists would argue most of the deaths were because of badly built housing, not bombs. Image
Previously credible epidemiologists and injury specialists would argue that children can’t be harmed by bombs because their small bodies can fit in the cavities of collapsed buildings – no need to evacuate or close schools! Image
One of those annoying “just a devils advocate” economists would point out that most of the homes destroyed were in slums or low quality housing, and Britain needed a bit of urban renewal so really it was all a blessing in disguise.
Anti-blackout activists would picket air raid shelters and take potshots at barrage balloons. In the right wing papers “concerned” commentators would worry about the real toll of the blitz: infectious diseases spread in bunkers. Image
The US president, while denying the bombs were falling, would argue the problem was the modern Anti-aircraft guns and recommend people use catapults and rifles which “everyone” was telling him are more effective against bombers. Image
Apparently sensible doctors would publish a statement from someone nowhere town (with “great” in front) saying we should just learn to live with it, and anyway the health effects of having curtains drawn mean the blackout is the real risk to children. Image
Conspiracy theorists on youtube would claim that most of the deaths were actually caused by falling Spitfires and some clown conservative commentator would complain that “the cure is worse than the disease”. Image
Then when the Soviets finally captured Berlin and ended the nazi war, after 6 years of terror, the right wing press would hail Johnson’s leadership and ask its readers to imagine how bad things could have got if Labour were in power. Image
All these responses seem preposterous when they’re about a war, but to epidemiologists it’s equally preposterous that there would be so much denialism, delay, obfuscation and dishonesty about COVID19!

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More from @drStuartGilmour

17 Aug
For those wondering at why the Australian government would abandon its Afghan “allies” and comrades of ADF soldiers to an uncertain fate after the Taliban have taken over #Afghanistan, a little history lesson in how Australia has historically treated Afghan refugees
In August 2001 the MV Tampa rescued 433 refugees at sea. 244 of them were Afghans, fleeing the Taliban, and following the laws of the sea Tampa attempted to land them in Australia. The Australian government refused to take them.
The Tampa’s captain refused to turn around so Australia sent in the SAS. The commander of the SAS force that raided that ship, Vance Khan, was ultimately in charge of a squad that killed tribesmen as part of Operation Slipper in Afghanistan. tinyurl.com/4y68z58z
Read 15 tweets
20 Jun
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?
Read 25 tweets
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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