1,011 karma · joined July 28, 2010
jasonhpriestley.com @jhpriestley github.com/jhp
funny line in a story that's basically just twitter/clubhouse drama
https://www.cnn.com/2021/01/21/politics/2024-republican-prim... https://www.cnn.com/2021/01/21/politics/fact-check-marjorie-... https://www.cnn.com/videos/business/2021/01/21/conspiracy-th...
For a somewhat objective example, look at the life expectancy around those years ... Japan and especially Germany are near the top both before and after the war https://en.wikipedia.org/wiki/List_of_countries_by_past_life...
Modern USA hardly even engages in full scale warfare since starting one of the deadliest wars of the late 20th century, except for the time we started the deadliest war of the 21st century?
Your reasoning strikes me as kind of post-hoc, but maybe I'm mistaken .. could you say more precisely what you think causes countries to go to war, in a way that I could take a random country and see if it fits the criteria?
This is my qualitative sense from studying history, and it seems to hold up quantitatively based on wikipedia: https://en.wikipedia.org/wiki/List_of_wars_by_death_toll
The people of Iran and North Korea are not doing so well. But if you were an Iranian citizen hoping for a better future, would you really pin your hopes on a US-backed regime change, after seeing the aftermath of Iraq, Afghanistan, Libya, and Syria?
If we could achieve cycling usage at the level of the Netherlands, mass transit usage on the level of Japan, and road safety on the level of Norway then we would cut road deaths by 90%. These are ambitious goals but can actually happen and are not an open-ended research project.
Bhattacharya's estimate is being criticized because, even though he was taking a contrarian view on the virus and getting results that were out of wack with other lines of evidence, he rushed out a highly flawed study (the Santa Clara seroprevalence study). This came out when we had little data about antibody prevalence, his study was one of the first ones, and it had the big name of Stanford behind it, so it was reported very widely and misled an awful lot of people about how dangerous this virus is. In his position he should have been bending over backwards to make sure he was on sure footing and not misleading the public, and instead he let this paper full of basic mistakes go to press.
The first citation on your linked editorial is Ioannidis, which is the same Stanford researcher in the OP article here, and the same group responsible for the utterly flawed Santa Clara study. It seems like it's literally this one group, and a few other weirdos and contrarians, singlehandedly raising spurious doubts about the science, and then being amplified beyond all reason.
The cited Ioannidis study also sucks, he takes a number of seroprevalence studies, including some very flawed or underpowered ones, and then takes the unweighted median for some reason? More details here, including an illustration of how the high-quality, randomly-selected samples do not vary so much https://twitter.com/GidMK/status/1283232023402868737
The WHO estimates a fatality rate of 0.6%. If you are simply dividing deaths by (an estimate of) current cases then you will get an inaccurate number because many of the current cases will eventually die of the disease.
2) I haven't been tracking hospitalization data very closely, you may be right that this has changed ... I've seen little discussion of it.
I agree that mask use in particular was controversial for a rather long time, with bodies like the CDC seemingly dragging their feet on recommending the use of masks. Still, I think that it's been a pretty settled question since April (CDC recommended masks from April 3 https://www.livescience.com/cdc-recommends-face-masks-corona...).
At the same time, there has been an endless parade of contrarians trying to make the whole thing into a big mystery and muddy the waters for some reason. There was the theory that the virus was spreading much earlier than expected. There was the theory that most cases were asymptomatic and that immunity had already been reached. The theory that lockdowns are not effective. The theory that there were different strains with highly different behavior. Some vague theory about t-cell immunity.
None of these contrarian theories have been supported by any real evidence, but there is a large appetite for them and people will seize on any puzzling number to try to rethink the whole picture of the virus.
Obama was not as much of a centrist but he was obstructed heavily by the opposition.
I'll continue to blame the people who vote 90% in one direction over the ones who vote 90% the other lol.
Edit: you added some specific comments about immigration. This is correct, Democrats are not very pro-immigration. They are more pro-immigration than the GOP, e.g. DACA order vs. DACA repeal, but the two parties are pretty close on immigration. There is a much bigger gap on issues like healthcare.