There has been substantial convergence of covid-19 deaths.
In heatmap form with exponential color steps
In regression terms
In correlational terms
Pearson without log transformation. The initial correlation was negligible since cumulative deaths were very much overdispersed at the outset. Still is, but less and less as time passes.
US state-level correlation between cumulative covid-19 deaths and population
Current cumulative deaths versus population
Europe continues to converge vis-a-vis cumulative covid-19 deaths and population.
Within Europe, the coefficient of log population on log cumulative deaths crossed unity (>=1) this summer and seems to be trending somewhat higher still.
Most metro areas in the US have converged substantially closer to New York City's cumulative covid-19 deaths on a per capita basis.
Animated (smaller, more economically peripheral places in the US have substantially converged on the outcomes of larger economies that were generally hit earlier and harder)
Larger populations and economies within the United States and European Union (plus affiliated) affected systematically earlier. Still, there has been substantial subsequent convergence at multiple levels.
Updated and on an entirely per capita basis....
Likewise, but with total GDP (b/c gravity model, tho the coefficient on per capita income clearly significant)
Between May 1st of last year and today, pretty much all countries saw large increases in cumulative covid-19 mortality, with initially less affected countries experiencing more growth (esp. within Europe and the Americas)
The convergence process is surely more pronounced in age-conditional terms, as it hit larger, higher-income economies first, which skew quite a bit older.
(Never mind the issues with accurately detecting and reporting covid deaths as covid deaths and other factors like climate....)
Same plot, but just for the Americas and Europe
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I am not the least bit interested in litigating Roe v. Wade or its implications, but two quick points here.
1) When traditional methods used in US & UK missed >50% maternal mort. & UK is *still* reporting low num to OECD, we should be even more cautious about making direct comparisons to countries w/ worse capacity & investment here cdc.gov/nchs/data/nvsr…
(2)The black-white maternal mortality rate ratios in UK are actually higher than US (~4x vs ~2.5x). I wouldn't be so quick to assume structural racism explains much or that the US disparities along this line are actually worse.
The idea that the obesity epidemic started in 1980 is poorly evidenced and runs contrary to a lot of evidence.
The non-linear relationship between body fatness and BMI will tend to make observed obesity rates accelerate even if mean body fat increases at a constant rate and the variance remains constant (BF variance v. likely has increased, but less than BMI would naively suggest)
As the BMI distribution shifts right due to very real increases in % body fat across the distribution, the mean & variance increase faster than body fatness does thanks in large part to this artifact of BMIs construction. These effects are particularly evident at the thresholds.
Some early and somewhat unintuitive results from something I've been working on. the distribution of people in gridded population cells by country (~1 km^2)
I think I estimated this correctly (if the data is basically correct), but Germany is somewhat surprising
I just created a primer to summarize my research on health care (the many ways in which conventional wisdom is wrong). Much of this content was previously spread across several posts, and some of it is new.