Even more troubling, they completely screwed up the analysis, making a mistake that even undergraduates know to avoid.

They measured 12 factors (as shown in table 1) across 4 treatment groups (male/female in two generations separately). That's 48 variables, so with the p<0.05 significance level they used, they would, on average, see 2.4 "statistically significant" results just by random chance.

If I'm counting correctly, they found 2 "statistically significant" results, exactly as expected by random chance.

In other words, their results are statistically indistinguishable from chance, exactly like the famous "jelly beans cause acne" thought experiment.

https://www.explainxkcd.com/wiki/index.php/882:_Significant

Edit: Who's downvoting this without a response? Is there a mistake or is it simply inconvenient for the people who badly want to see an effect?