<?xml version="1.0" encoding="utf-8"?><rss version="2.0"><channel xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:wfw="http://wellformedweb.org/CommentAPI/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:sy="http://purl.org/rss/1.0/modules/syndication/" xmlns:slash="http://purl.org/rss/1.0/modules/slash/"><title>RedState</title><link>https://redstate.com/author/jon_mccloskey_phd/feed</link><description>Conservative News &amp; Politics</description><language>en-us</language><lastBuildDate>Thu, 23 Apr 2026 20:33:10 -0400</lastBuildDate><item><title>How to Win the COVID-19 Information War</title><description>&lt;![CDATA[In April of this year, I published articles in RedState and The Federalist, pointing out that the modeling being done at the time was the wrong approach for making the complex decisions needed for the COVID-19 issue. At that time, I warned that due to the complex nature of the problem and because there was very little data, the existing models were bound to be wildly inaccurate. Many of us now know that this is precisely what happened.]]&gt;</description><pubDate>Thu, 16 Jul 2020 20:00:54 -0400</pubDate><creator xmlns="dc">&lt;![CDATA[Jon_McCloskey_PhD]]&gt;</creator><category>&lt;![CDATA[coronavirus]]&gt;</category><category>&lt;![CDATA[COVID-19]]&gt;</category><enclosure url="" type="image/jpeg" length="123" /><link>https://redstate.com/jon_mccloskey_phd/2020/07/16/how-to-win-the-covid-19-information-war-n247921</link></item><item><title>A More Useful and Scientific Approach for COVID-19 Models</title><description>&lt;![CDATA[There’s been a lot of discussion by armchair analysts about various models being used to predict outcomes of COVID-19. The armchair analysts I’ve seen include a philosophy major and a PhD candidate with little experience in statistics, much less in modeling complex systems. In fact, the discussion coming from academia and their sycophants in the media further demonstrates just how deep the “deep state” runs. For those of us who have built spatial and statistical models, all of this discussion brings to mind George Box’s dictum; “All models are wrong, but some are useful.”… or useless as the case may be.]]&gt;</description><pubDate>Sat, 25 Apr 2020 19:45:51 -0400</pubDate><creator xmlns="dc">&lt;![CDATA[Jon_McCloskey_PhD]]&gt;</creator><enclosure url="" type="image/jpeg" length="123" /><link>https://redstate.com/jon_mccloskey_phd/2020/04/25/a-more-useful-and-scientific-approach-for-covid-19-models-n135477</link></item></channel></rss>