“Differences in and Consistency of Excess Mortality Estimates in Puerto Rico After Hurricane Maria”
From Sandberg, et al. (July 2019) in Epidemiology:
From Sandberg, et al. (July 2019) in Epidemiology:
The structural, or cyclically adjusted, budget balance has been deteriorating. In accounting terms, what’re the drivers?
Whether due to Brownback or other factors, Kansas is doing very well.
[Graph corrected 3/18 of 3/15 post– apologies to all for the error of using NY-wide series in the earlier post] New York City. Inveterate commenter Steven Kopits cites an article from some publication called “Liberty Nation”:
In New York City. Inveterate commenter Steven Kopits cites an article from some publication called “Liberty Nation”:
Last year’s recap was subtitled “Fighting against the normalization of lying”. At least this year, lies are called lies. Now it’s time to shun the liars, and relegate them to where they belong.
That’s the title of an oped by Heather Boushey in The Hill. There’s not much to disagree with in the article, but I think one graph of Kansas employment would’ve really driven home the conclusion.
Compare this assessment (5/31/2018): Thus, the data suggests that the hurricane accelerated the deaths of ill and dying people, rather than killing them outright. I would expect the excess deaths at a year horizon (through, say, Oct. 1, 2018) to total perhaps 200-400. Still a notable number, but certainly not 4,600. With a contemporaneous prediction: […]
Trump, last Thursday: “I don’t like all of this work that we’re putting into the economy and then I see rates going up.” and a tweet on Saturday: Tightening now hurts all that we have done.
Mr. Steven Kopits takes issue with the Harvard School of Public Health led study’s point estimate of (4645) and confidence interval (798, 8498) for Puerto Rico excess fatalities post-Maria thusly: Does Harvard stand behind the study, or not?