The Curse of Knowledge: How Experts Struggle to Explain

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1. 28 July 2026 · corrected by Emir Baycan

   Qualified six overstated or unverifiable claims: reframed a single Milton et al. (2007) fMRI study as suggestive rather than a settled general neural explanation of teaching difficulty; softened Hinds's 1999 expert-prediction study from a universal expertise gradient to one controlled study consistent with a broader pattern; replaced an unverifiable 2014 Wieman lecture-evaluation study with the well-documented general finding that expert instructors misjudge which concepts students find hard; qualified the Nielsen Norman Group documentation-abandonment figure (users give up within a few minutes, varying by study, not a fixed two-to-three-minute constant); softened the Toyota 'experts were worst at explaining' claim to a tacit-knowledge framing attributed to Toyota Culture (2008); and reframed the Johns Hopkins/Amazon debiasing measures as promising structured practices rather than established structural cures. The illusion-of-transparency attribution to Gilovich, Savitsky, and Medvec (1998) was already correct.

   Before

   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.

   After

   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.

   Why: 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.

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Full contribution timeline

1. Correction 28 July 2026

   Emir Baycan: Qualified six overstated or unverifiable claims: reframed a single Milton et al. (2007) fMRI study as suggestive rather than a settled general neural explanation of teaching difficulty; softened Hinds's 1999 expert-prediction study from a universal expertise gradient to one controlled study consistent with a broader pattern; replaced an unverifiable 2014 Wieman lecture-evaluation study with the well-documented general finding that expert instructors misjudge which concepts students find hard; qualified the Nielsen Norman Group documentation-abandonment figure (users give up within a few minutes, varying by study, not a fixed two-to-three-minute constant); softened the Toyota 'experts were worst at explaining' claim to a tacit-knowledge framing attributed to Toyota Culture (2008); and reframed the Johns Hopkins/Amazon debiasing measures as promising structured practices rather than established structural cures. The illusion-of-transparency attribution to Gilovich, Savitsky, and Medvec (1998) was already correct.

   Proof record →