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.
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.
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.
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.
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.
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.
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.
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”).
Rich business leaders would demand an end to evacuations and blackouts because they couldn’t find staff and their businesses were being damaged.
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.
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!
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.
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.
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.
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”.
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.
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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Follow up on my tweets from yesterday complaining about the new economist report on how “autocratic” countries over-state their GDP. I will analyze the paper this article references, and show a range of sleight-of-hand and maths errors in this work.
This is an excellent and egregious example of how economists don’t understand and/or misuse statistical tools. I will be referencing this version of the work the Economist is discussing – there are many versions, this one is the most recent (2021). bfi.uchicago.edu/wp-content/upl…
The first sleight of hand is the confusion of levels and rates of growth. The author builds a theory of the relationship between *growth* in night time light (NTL) and *growth* in GDP (first two pics). But their final model (eqn 6) analyzes ln(GDP) – a level not a rate!
It’s so exhausting dealing with this torrent of bad-faith data “analysis” from the Economist. The latest is an analysis of satellite data on night time lights and gdp growth that suggests “autocratic” states fiddle their numbers on gdp growth. economist.com/graphic-detail…
For starters it’s obvious bad faith. This figure from the report it references shows the gdp growth and night time light growth for “free” and not-“free” countries. The assumption this is dishonest rather than just a different growth relationship is so condescending.
Anyone who has been to a rapidly growing low- or middle-income country knows they don’t have the same lighting as rich countries. This is “partly free” (?!) Dhaka. Bangladesh isn’t prioritizing street lights and has a different urban landscape to Tokyo (which is “free”).
@dakekang and @huizhong_wu your reporting on prison rates in your latest article about Xinjiang is wrong and misleading. Assuming your linked list is true, the imprisonment rate is not “the highest anywhere in the world” and your numbers are just wrong.apnews.com/article/religi…
First, you report that US prison rates are 364 per 100000. This is not correct. The number is actually 537, but you didn’t include US Jails in your figure. Please correct it. We don’t need more articles understating the USA’s incarceration epidemic.
Second, you say that the Konasheher country rate (3789) is “the highest known imprisonment rate in the world”. This is false, because you compare a county with countries. There are *many* counties in the USA with higher rates. See e.g. Indiana.
Hong Kong has experienced a wave of #covid19 cases and deaths, and some media are blaming this on Chinese COVID vaccines, saying they don’t work. Let’s talk about whether this is true, and the implications for global vaccine equity of vaccine misinformation.
A recent presentation by Hong Kong University (HKU) professors has been used by the usual China “experts” and journalists to argue that reliance on China’s vaccine, Sinovac, compared to BioNTech’s mRNA vaccine was a bad idea, with tweets like this.
Let’s look at this slide in detail. 2-dose Sinovac gives 77% protection against death in over 60s, but 3-dose Sinovac gives 98% protection. This is weird, and it suggests that there’s more to this story than a weak vaccine: Risk profile and timing. Let’s look at these.
Remember in 2020 there was a map showing how well-prepared different countries were, which received widespread derision for its terrible accuracy? I analyzed the underlying data to see how poorly it predicted pandemic outcomes.
The map is based on the Global Health Security Index, a numerical measure of pandemic preparedness compiled by Economist Impact in collaboration with Johns Hopkins and others. There is a published report, with a clear methodology. ghsindex.org
The data is available from their website, giving 195 countries an overall score and also scoring them on six sub-domains which measure things like anti-microbial resistance (AMR) preparedness, adherence to international health regulations, and so on.
This week 10 years ago I first visited Minamisoma, and began a five year long collaboration with the local community studying nuclear, tsunami and earrthquake disaster response and recovery. A thread about my research and what we learned.
When the Great East Japan Earthquake and Tsunami hit I was a brand new assistant prof, living in Tokyo for two weeks. Almost as soon as it happened all the Japanese students from the dept I worked in headed north to help with recovery. [I took these photos in Feb 2012]
They all went to a small town called Minamisoma, very close to the Dai-ichi Nuclear plant, that was partially evacuated after the incident. First they did health checks but soon were asked to help with other things. [Map source: Morita et al, PLOS ONE, 2018]