I find sometimes a PhD can come with very ingrained attitude issues. I recall working for a company with a new-recruit development program where really the only way to fail out was through attitude issues. One of the people who oversaw the program mentioned that she's only ever seen people with PhDs and higher fail out over this issue.
I also think it's unrealistic to expect PhDs to have a "basic understanding of statistics" unless they specifically studied it. I would be shocked and dismayed to see a PhD statistician misunderstand basic statistics; I wouldn't blink if a PhD mathematician or physicist made basic statistical errors. It's hard enough to achieve research-level mastery of one domain in five years, and many mathematicians and physicists (most?) do not need stats.
If you're talking about fields like psychology or sociology, I personally disagree with the expectations they're held to. I believe we would have less of a reproducibility crisis if research projects had statistician coauthors and peer reviewers, rather than just PhDs for whom statistics is not a core competency. That would be fairer and more realistic.
Finally, to be blunt it's hard for me to take this comment seriously when you say something like this:
> The current generation of PhDs don't know how to do any kind of real research
I've interviewed and worked with so many PhD from top tier schools and it's astounding to me that someone can spend 6+ years studying a quantitative science, at a school like MIT or Harvard and still not have a basic understanding of statistics, and worse be incapable of genuinely understanding any of the quantitative tools they used for years.
The current generation of PhDs don't know how to do any kind of real research, they simply know how to mechanically replicate the processes you need to survive in academia today.