Choice blindness 2026-10-25
The useful distinction in George Armitage Miller's position is between experiencing a mental event and knowing how that event was produced. An answer, image or feeling of difficulty can enter consciousness while the computations producing it remain inaccessible. Experiencing an intermediate thought also does not reveal the neural or cognitive mechanism generating that thought. Thus a restriction on introspection into mechanisms is compatible with awareness of some intermediate stages of reasoning.
There is evidence against treating an explanation of one's behaviour as a transparent record of its causes. Richard E. Nisbett and Timothy D. Wilson distinguished causal accounts constructed from plausible beliefs from direct access to the relevant processing.[ref]
Telling More Than We Can Know: Verbal Reports on Mental Processes by Richard E. Nisbett and Timothy D. Wilson. 1977, abstract: plausible causal theories can support accurate or inaccurate reports without direct process access
A particularly clear experimental test is choice blindness: participants chose between faces, but the experimenter sometimes presented the rejected face as the selected one. Some participants accepted the substitution and explained the choice they had not made.[ref]Failure to detect mismatches between intention and outcome in a simple decision task by Petter Johansson and others. 2005, abstract: covert choice–outcome substitutions and subsequent explanations
This challenges the reliability of retrospective causal explanations. It does not establish that every report of a current experience is false: noticing a vivid image and explaining why one preferred a face are different reporting tasks.Metacognition does not require a complete inspection of the processes being monitored. A judgment of learning can use how easily an answer is retrieved; a retrospective confidence judgment can use the strength or consistency of available evidence. Such metacognitive monitoring is useful when these cues predict future recall or present correctness, even if the participant cannot explain why a cue is informative. A useful experimental distinction is consequently between report content, predictive accuracy and causal access. Measuring one does not settle the others.
Second-order inference about decisions provides a computational possibility: the observer estimates the correctness of a decision from partially shared evidence and the action taken, rather than reading an infallible internal label.[ref]
Self-Evaluation of Decision-Making: A General Bayesian Framework for Metacognitive Computation by Stephen M. Fleming and Nathaniel D. Daw. 2017, abstract and first-order/second-order model comparison
The computation producing this estimate can itself remain unconscious. Calling it second order specifies what it estimates, not a requirement that a person verbally reflect upon it.The strongest interpretation of Miller's claim would exclude experience of any unfolding thought. That goes further than the evidence just considered. A person can report successive candidate answers, detect uncertainty, or notice attention drifting, while misdescribing the mechanisms responsible. Conversely, asking for an explanation can create a new inferential task, so a fluent explanation after the event is weak evidence that the same reasoning caused the original decision. Immediate reports, independent performance measures, experimentally manipulated cues and interventions on the proposed mechanism provide stronger tests than introspective plausibility alone. A defensible theory allows informative but selective access to mental states, with fallible inference about their causes; it need not choose between complete transparency and complete ignorance.