Metacognition · Feb 2026
Dunning-Kruger Effect
The Dunning-Kruger effect is a metacognitive bias where low
performers overestimate their ability, while experts underestimate theirs. It is
the "double curse" of knowledge.
01/The Original Study
= Found that bottom
performers in logic and grammar estimated themselves above
average.
= Experts (top
performers) assumed others knew as much as they did.
! Misconception: It
doesn't mean "stupid people". It applies to everyone in a new
field.
02/The Dual Burden
Metacognition
- Deficit
1: Reaching wrong conclusions (lack of skill).
- Deficit
2: Lack of metacognition (cannot see the
error).
+ Expert
Bias: Knowing so much that you assume it's
"obvious" to everyone else.
03/CLN as a Calibration Tool
Data Driven
Use CLN to build a personal history of your judgment accuracy:
? Initial Estimate:
"I am level 7/10 in Python."
@actual: Result of a
blind test (reveals level 3/10).
*
Insight: The gap between
? and
@actual is your Dunning-Kruger margin.
*
Self-Test: What happens to confidence after the
initial "Peak of Mount Stupid"? || It drops
sharply as you realize the complexity (Valley of
Despair). ||
04The Antidotes
. Seek
Objective Feedback: Tests, code reviews, and
mentors.
. Document
Assumptions: Use
* to log what you
think is true, then verify (✓).+ Win
Log: Experts should track successes to combat
underconfidence.