Massive New Data Analysis Finds Counties With More Families Show Less Coronavirus

There is huge news in a just-published statistical analysis that found a negative relationship between the strength of a county’s social capital — including especially stable families — and coronavirus infections.

Screenshot from Institute for Family Studies.

That’s a good thing! Correlation is NOT causation, but the data showed there is a distinct correlation between more of one and less of the other, according to Professor Christos Makridis, a non-resident fellow of Baylor University’s Institute for Family Studies (IFS).

Makridis, who is Assistant Research Professor at Arizona State University, a Digital Fellow at the MIT Sloan Initiative on the Digital Economy and a non-resident fellow at the Harvard Kennedy School of Government Cyber Security Initiative, conducted the analysis with York University’s Cathy Wu.

Here’s the summary statement of their findings:

“Our paper provides quantitative evidence that higher levels of social capital across counties are negatively correlated with infections and the average weekly growth in infections.

“Specifically, moving a county from the 25th to the 75th percentile of the distribution of social capital would lead to a 20% decline in the number of coronavirus infections, as well as a 0.28 percentage point decline in the growth rate of the virus (or nearly 20% of the median growth rate), even after controlling for demographics (e.g., population density).”

Go here for the rest of the analysis.


Author: Mark Tapscott

Follower of Christ, devoted husband of Claudia, doting father and grandfather, conservative lover of liberty, journalist and First Amendment fanatic, former Hill and Reagan aide, vintage Formula Ford racer, Okie by birth/Texan by blood/proud of both, resident of Maryland. Go here: