#Kurtosis was an important #parameter differentiating #size distributions, with #platykurtic distributions in #marls and #leptokurtic distributions in #limestones, suggesting that this parameter may reflect different degrees of #time #averaging. Most size #distributions were positively #skewed, but most strongly in marls. Complete #sampling led to #skewness values close to zero (#symmetrical distributions) and high kurtosis.

https://doi.org/10.2110/palo.2021.063

If you want to quickly find #skewed #features in a #dataset in #r then you can use my #r #package {healthyR.ai}

There is a function called hai_skeweed_features() that will list off the columns that are skewed.

Here is the post: https://www.spsanderson.com/steveondata/posts/rtip-2022-11-14/

#newpaperalert, coauthored w/ Andrew Shaver & many excellent coauthors.

News reports of political #violence are compiled into large global #conflict-event datasets used by academics, governments, and international organizations. We study how these #data may be systematically #skewed. Our #replication exercise shows that media-based data fail to uncover the results reported in leading #economics/#polisci articles.

Full abstract in attached screenshot.

Link to paper: https://esoc.princeton.edu/WP32

And for those who received #AncestryDNA kits... don't bother. They only compare your results with other testees. So, unless the entire #population takes their #DNAtest , your results will always be #skewed , different, inaccurate. (insert slow trombone here)