Same intelligence, same 12 minutes — strategy does most of the work. Here's the math.
Same intelligence. Same 12 minutes. Score differs by a factor of 1.7. In percentile terms: reject Jordan, hire Sam — on a test that was supposed to measure how they think.
Drag the slider below to see the math yourself.
Purple (Sam's strategy) beats pink (Jordan's strategy) at every single point along the curve. The shaded area between them is the free points you leave on the table if you skip instead of guess.
You've done a few sample questions and know the format.
Cognitive tests like the Wonderlic, PI Cognitive, and CCAT don't penalize wrong answers. Guessing a random answer has positive expected value. A 4-option question scores 25% on average from random guessing alone. A 5-option question scores 20%.
This isn't obscure knowledge. It's the first line of every test-prep guide. But companies still use these scores as a first-pass filter and treat them like IQ proxies.
What they're actually filtering for:
Those are real traits. But they're traits about test-taking, not about reasoning, adaptability, or "learning speed in the workplace" — which is what the tests claim to measure.
People with SAT/GRE/GMAT history already know the strategy. Career switchers, older candidates, people from education systems that don't use this format — don't. Same intelligence, different score. Same job, different outcome.
That's not a cognitive filter. That's a familiarity filter dressed as a cognitive one.
If you have a test coming up, you don't have time to fix the system. Beat it.
1. Never leave a question blank. Ever. Even if out of time, tap random answers in the last 5 seconds. Free expected points.
2. Practice pacing, not content. The question types are finite. Most of your prep should be about not getting stuck — learning to recognize when you're sinking time into a question and need to move on.
I built a free pacing timer that trains exactly this. No signup, no ads on the session — just a timer.
Try the free pacing timer →
The math: Expected score = n · p(720/n) + (50 − n) · g where n is questions attempted, g is guess rate, and p(t) = Pmax · (1 − e−t/τ) is per-question accuracy as a function of time.