[np-]

This still seems a bit dubious—-90% of people who view the ad being qualified doesn’t mean in any way that 90% of applicants will be successful. If you have more applicants from that bottom 10% pool who click on the ad to proceed, then it would be statistically very easy to end up with a reject rate much higher than 10%.

[Somatochlora]

If you reject a third of applicants, the 90% figure is obviously misleading even if technically true in some sense.

[jjcon]

It didn’t say 30% were rejected - it said on some offers as much as 30% were rejected. Again, the models can be totally accurate in aggregate but due to random variation or low sampling show as inaccurate on one specific offer, that is just how statistics work.