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Chart from a page on the BBC showing cumulative deaths since 10th death: Source: https://www.bbc.com/news/world-51235105 So judging by that, it looks to be about 20 days after the lockdowns were implemented that the death rates fell to below "doubling every three days".

Here's a daft question: if everyone's been in lockdown the last 4-6 weeks, where have all the hundreds of thousands of new cases come from?

Yeah, he was both: Chancellor of the Exchequer is the money man, the one in charge of the budget, taxes, etc.

I think so. :)

Yep, reads fine to me. Though now you point it out, maybe it reads more like something that was written rather than spoken.

Well, before we debate why he said it, or what he might have meant by it, let's find out if he did actually say it first. ;)

The greatly expanded 2007 English language version is available to borrow at archive.org and it is included there, on page 1: Source: https://archive.org/details/truestoryofbilde00dani/page/n18/mode/1up/ Of course, there's no time or place given for when these words were supposedly spoken.

This quote pops up on conspiracy theory websites, in facebook posts, and on the cover of at least one book. The full quote is: I can find no record of Healey having said or written this - many of the pages repeating the 'quote' state that he "wrote" it - and it isn't one that has been removed...

There's an article on the BBC today about why comparing countries in difficult: https://www.bbc.com/news/52311014 To summarise the main differences they highlighted: population sizes; population densities; demographics; how deaths are recorded; testing differences; preparedness; accurate and...

I see the conspirasphere has become quite excited by a speech Dr Fauci gave a few years ago in which he said: "There is no question that there will be a challenge to the coming administration in the arena of infectious diseases, both chronic infectious diseases in the sense of already ongoing...

I think what I meant was being able to see the apparent 'curve' of the original chart in terms of per capita rate. There's a strong sense of 'up and down' in that chart - countries working their way towards 5000+ cases per day and then coming out of it - but because it's number of cases rather...

All that said about my enthusiasm for this chart, I would perhaps rather the levels were based on percentage of population rather than number of cases: I guess there's a big difference between 5,000+ cases in the US and 5,000+ cases in Belgium. Johns Hopkins - the source for the data for this...

Could you call somebody and ask them?

Throughout the spread of the pandemic, there's been one chart that I've found the most interesting and which has informed my opinion of the direction and timing of the virus more than any other. This is the current version: Source: https://www.bbc.com/news/world-51235105 Since I started...

People always say things like "if it wasn't for x, I would've died". Cycle helmets, healthcare, car accidents, near drownings. They don't really know if it's true, it's just a turn of phrase, an overdramatisation. If he wasn't on a ventilator, I doubt he was at death's door, and far from 50/50...

I don't remember news reports about people burning towers or linking 4G to an outbreak. But then, I have literally zero recall of anything to do with any of the other Gs when they came in (probably didn't read the news or go online much back then).

Oh yeah. Off the top of my head, mainly because it requires way more transmitters and, you know, the hertz is bigger.

Well, we shall have to agree to disagree on that. But, for me, after doing the "birth rate vs lunar cycle" and "menstrual cycle vs lunar cycle" projects - both of which featured university studies with sample sizes in the hundreds that claimed all sorts of "statistical significance" - all of...

I guess that's a different type of study, though - it's looking at behaviour in a very specific case, and answering the question "can x happen?" I think the type of study we're talking about here is one that seeks "statistical significance".

Interesting. What would be an example of a study that would return good data with a sample size of only 30?