NaClhv

Theology, philosophy, math, science, and random other things
                                                                                                                                                                                                                                                                  

Re-analyzing the Stanford COVID-19 antibody study

Stanford's antibody study in Santa Clara County [...] reported a population prevalence of 2.5% to 4.2% for COVID-19 antibodies, and a corresponding infection fatality rate of 0.12% to 0.2%. This result, if true, would have huge implications, as the lower fatality rate would dramatically change the calculus on important policy decisions [...]. However, this study has also received numerous criticisms, most notably for the results being inconsistent with the false positive rate of the antibody test. Here, I attempt to derive what the results ought to have been, under a better methodology.

Keeping score: my coronavirus predictions

There's two reasons for me to do this. The first is for self-improvement. Making predictions and evaluating the results helps me refine my thinking. The second one is to "flex". And yeah, there's probably some element of vanity in there. But even apart from that, I do think that it's important to display my predictions and their results publicly, so that people know that they can trust my works.

Quick takes on the plan to re-open the country

It's not bad. It has many key features from my plan, and while it does have some deficiencies, the fact that it's quite flexible means that state and local leaders can fill in those gaps as necessary. In fact, that responsibility goes all the way down to the individual - to you. As we start re-opening parts of the country in a few weeks, please do your part: take all the standard measures, and do anything else you can that will reduce R0 below 1.

Bayesian evaluation for the likelihood of Christ's resurrection (Easter 2020)

This was the state of the "Bayesian evaluation for the likelihood of Christ's resurrection" post, as of Easter 2020. This post will remain unchanged, while the linked post above will have further edits. I also put up a Facebook post on that date, which is essentially the same as the 2019 Facebook post. The offer […]

Bayesian evaluation for the likelihood of Christ's resurrection (edit 127)

I'm continuing to work on editing Bayesian evaluation for the likelihood of Christ's resurrection. I'm trying to get it to a good state for Easter. The switch from chapters 4 and 5 is mostly done now. I'll continue to update some more things as the week goes on. You may next want to read: The Gospel: […]
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