[tetrisgm]

"Overestimation and miscalibration increase with a decrease in performance"

"Common factor: participants’ knowledge and skills about the task performed."

I understand the corporate use case. Justifying impact of low performers and quantifying the potential results.

Still, this kind of research feels tautological. It'd be surprising if anyone actually wondered if adding more low performers helped anything.

Even in tasks that require no skill, adding a person who isn't performing means they won't perform well.

[surfingdino]

You cannot increase the number of wits by multiplying half-wits.

[psunavy03]

https://s3.amazonaws.com/theoatmeal-img/comics/idiocy/oatmea...

[ahazred8ta]

"I choose not to draw vast conclusions from half-vast data."

[blackkettle]

I think it is still meaningful because it's extremely common for management to favor hiring cheaper 'talent'. Pointing out the issues with that in various different ways is still valuable.