Correction: The Curse of Knowledge: How Experts Struggle to Explain
Corrected by Emir Baycan · Full-Stack Developer, Mobile App Builder and Web Platform Founder with expertise in SEO, automation, SaaS, AI visibility, DevOps and scalable digital products
Emir Baycan found something wrong, outdated, or unsupported on this page and proposed a fix. The publisher accepted the correction.
- Role
- Correction
- Publisher
- When Notes Fly
- Topic
- Concepts
- Status
- Accepted
- Date
- 28 July 2026
The exact change
The article presented Milton 2007 as a general neural explanation, Hinds as establishing a universal expertise gradient, a 2014 Wieman study with a specific protocol, a fixed two-to-three-minute documentation-abandonment figure, Toyota experts as the worst at explaining, and Johns Hopkins/Amazon measures as structural cures.
Qualified each to what the sources support, generalized the unverifiable Wieman study, and reframed the debiasing measures as promising practices, while keeping the correct illusion-of-transparency citation.
Suggested change
See before/after.
Why this is better
The sources are largely genuine but were overstated or, for the 2014 Wieman study, unverifiable as cited. Corrections scope the claims rather than adding new sources.
How this record is verified
- The contribution is tied to a real, identified contributor, not an anonymous byline.
- It counts only because the publisher, When Notes Fly, accepted it. Self-claimed work earns nothing.
- It is recorded against a specific page and cannot be bought or edited after the fact.