AI Source-backed essay 2-minute read

One Case Study Found More Confidence, Not More Correct Answers

In Stuart Oskamp's small case study, everyone read the same sections in the same order. Confidence rose without a clear gain in correct answers.

The short version

  • Everyone read the same case sections in the same order; confidence rose without a clear gain in correct answers.
  • One small fixed-order case cannot show that added information caused the gap.
  • When technical answers become cheap, choosing which detail matters becomes the scarce part.

Oskamp's one case separated confidence from accuracy

Everyone read the same case sections in the same order; confidence rose, but correct answers showed no clear gain.

After each section, every judge chose from fixed answers and rated how sure each answer felt.

The group mixed working clinicians with students. Most were students, so this was not a panel of clinical experts.

From the first section to the last, correct answers showed no clear gain. Confidence rose at every later stage.

One case could show the gap, not its cause

The study used one hard case and a small group. Everyone saw the same sections in the same order. No second group got fewer details or a new order.

So the study could not show why confidence rose. It also did not test AI, business choices, or medical diagnosis. It describes one case task in which certainty and correct answers moved apart.

That narrow result is still useful. A reviewer can feel better equipped before the review has produced a better choice.

Jensen Huang gives the gap a modern frame

Jensen Huang uses “technical intelligence” to mean skill at solving technical problems. He has said that this kind of skill is becoming a commodity: easier to get and less likely to set one person or company apart.

Huang also values the ability to “see around corners,” or notice a risk or opening before it becomes clear to everyone else.

Oskamp did not study AI, and Huang did not explain Oskamp. The link here is the article's own reading. When access to technical answers gets cheap, choosing which detail matters becomes scarce.

An AI research tool can fill a packet quickly. The extra pages may contain useful facts. Their volume alone cannot show which fact should change the plan or which risk deserves attention.

A staged review can test what the extra detail changed

A staged review can save the first choice, a short reason for it, and a confidence rating before more material opens. It can record all three again after the new material arrives. Once the real result is known, the choice and confidence can be checked on their own.

That record shows whether the research caught an error, changed the choice for a reason that held up, or only raised certainty. It treats a stronger feeling as something to measure, not as proof of better judgment.

Extra pages that raise confidence but neither catch an error nor improve a checkable result have not yet earned a place in the next review.

Sources

  1. Oskamp, Overconfidence in case-study judgments (Journal of Consulting Psychology, 1965)
  2. A Bit Personal, Jensen Huang interview, Season 1 Episode 1

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