Looking forward to my grad seminar this semester on Black History from Reconstruction to Jim Crow. A preview/tour of what we’ll be reading follows. We’ll start in week one with some DuBois, from Black Reconstruction, and supplementary essays from Eric Foner and Thomas Holt. 1/

Week 2: Hannah Rosen, Terror in the Heart of Freedom.
Week 3: @KidadaEWilliams, They Left Great Marks on Me.
Week 4: Sarah Haley, No Mercy Here.
Week 5: @profblmkelley, Right to Ride, and Omar Ali, In the Lion’s Mouth.
Week 6: Mia Bay, To Tell the Truth Freely.
Week 7: Michael Rudolph West, The Education of Booker T. Washington.
Week 8: @Isabelwilkerson, The Warmth of Other Suns.
Week 9: Saidiya Hartman, Wayward Lives, Beautiful Experiments, with supplementary essays from @agordonreed and @Alexis_ok.
Week 10: Davarian Baldwin, Chicago’s New Negroes.
Week 11: @KhalilGMuhammad, The Condemnation of Blackness.
Week 12: Mary Rolinson, Grassroots Garveyism.
Week 13: @KeishaBlain, Set the World on Fire.
And finally, Week 14, N.D.B. Connolly, A World More Concrete.
It'll be a hard and busy semester, but many of these are works I've wanted to get to for a while. Hope the list turns a few folks out there to take a look too! /end

More from Society

global health policy in 2020 has centered around NPI's (non-pharmaceutical interventions) like distancing, masks, school closures

these have been sold as a way to stop infection as though this were science.

this was never true and that fact was known and knowable.

let's look.


above is the plot of social restriction and NPI vs total death per million. there is 0 R2. this means that the variables play no role in explaining one another.

we can see this same relationship between NPI and all cause deaths.

this is devastating to the case for NPI.


clearly, correlation is not proof of causality, but a total lack of correlation IS proof that there was no material causality.

barring massive and implausible coincidence, it's essentially impossible to cause something and not correlate to it, especially 51 times.

this would seem to pose some very serious questions for those claiming that lockdowns work, those basing policy upon them, and those claiming this is the side of science.

there is no science here nor any data. this is the febrile imaginings of discredited modelers.

this has been clear and obvious from all over the world since the beginning and had been proven so clearly by may that it's hard to imagine anyone who is actually conversant with the data still believing in these responses.

everyone got the same R

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