So this is a rebuttal of Washington Post/Yale School of Health data published yesterday: https://www.washingtonpost.com/graphics/2020/investigations/coronavirus-excess-deaths-may/

Not sure how how Yale is projecting their expected deaths...if they are also faking numbers then it would appear that science is now broken. I’m gonna check the data https://twitter.com/ethicalskeptic/status/1267129488065912839

So I can confirm that Yale is using incorrect data. Easy to see on CDC website that All Cause Mortality in the US never dips below 50,000

As you can see, WaPo and Yale are using bogus statistics because they can. This is not an error. This is science being faked to promote a narrative.

With the numbers not cut out on the left. Sorry

Update: I want to make an update and rephrase what I said earlier. Yale didn't use fake numbers. They manipulated the analysis of the data to serve their purposes.

Basically, they exploited two things:
1) The day their analysis ends May 9th
2) CDC data lag

First the day: May 9th

There is enough data out there to do an accurate analysis (even adjusting for lag) for May 16th and even possibly May 23rd. Choosing May 9th shows a much grimmer picture of Covid in the US

Second the lag: The CDC publishes lag data. If you use the most recent data you would have calculated a lag adjusted value for total expected deaths of .935 x 51,874 = 48,502. But curiously they used 45,000 as their data point for May 9th.

They didn't technically lie about 45,000, they just used older data that shows both the total current number and expected total number lower than current data. They could have adjusted for lag upwards but didn't. Why? So they could create a graph that distorts reality.

The graph gives the impression that the excess deaths aren't decreasing because they are falling against expected deaths which are also plummeting.

They basically publish old data on May 30th in order to suit the conclusions they want to reach.

Very deceitful science.