I am not ignoring that, yes there might be a huge variance in the number of testing and strategy, but generally the number of deaths are difficult to ignore. Basically you cannot hide a body.You're showing the number of cases per million as something of value, but are willfully ignoring the fact that there is a huge variance in the amount of testing / million
You have to look at death per capita and at what stage of the epidemic they are at .You are saying that the difference in number of deaths /million is not significant enough, yet Sweden's death rate is 30% more than Denmark's, and more than 3 times that of Norway.
The other way is to look at project forward from closed populations (small towns in Italy or the Diamond Princess).
That is just wrong, yes they have different healthcare methods, but again counting bodies is straightforward, except for the Italians who have been accused to counting lots of people as dying of COVID, when in fact it wasn't.Each country has different testing methodology, different healthcare systems , different ways of recording the data, different patameters. Yet you only cite these as caveats when they don't match your story.
The other simple way to look if this is BS is to compare the amount of people that die of infectious diseases for this season to last years and again you find that even in Italy, they do not add up.
Fully referenced facts about Covid-19, provided by experts in the field, to help our readers make a realistic risk assessment. (Updated daily, see below)
Important reference values include the number of annual flu deaths, which is up to 8,000 in Italy and up to 60,000 in the US; normal overall mortality, which in Italy is up to 2,000 deaths per day; and the average number of pneumonia cases per year, which in Italy is over 120,000.
Current all-cause mortality in Europe and in Italy is still normal or even below-average. Any excess mortality due to Covid-19 should become visible in the European monitoring charts.
its not about picking and choosing at random and making up a story that seems straight. you need to look at the data and put it under scrutiny, i.e. look for full populations, frequency of testing, bodies, things that are difficult to mess up and can give good insight.When there are too many variables, it's both a blessing and a curse for anyone analysing the data. Blessing because you can pick and choose, and make the data show pretty much what you want it to. And a curse because deep down in your heart you know that you cannot filter out those variables to the extent that the data resembles any sort of accuracy
Luckily in all of this, Sweden thus far is a very good control group for a European country and time will tell if the lock-down was worth it. My suspicion is that we are giving government credit for what our immune system is actually doing.
and this graph makes quite a good argument that its our immune system (notice how Sweden is doing the same as the rest of us)?