Can people know they are right when they are guessing?

What is blindsight?

Blindsight is the phenomenon where individuals demonstrate substantial decision accuracy (such as discriminating visual stimuli) in the absence of conscious metacognitive awareness of that ability.

Source: Blind insight: metacognitive discrimination despite chance task performance · DOI · quote verified

How do the authors define the phenomenon of "blind insight"?

Blind insight is defined as the reverse of blindsight, characterized by accurate metacognitive discrimination (knowing whether you are right or wrong) in the reliable absence of first-order decision accuracy.

Source: Blind insight: metacognitive discrimination despite chance task performance · DOI · quote verified

Under Signal Detection Theory (SDT), what is the distinction between Type I d' (d'1) and Type II d' (d'2)?

Type I d' (d'1) measures stimulus-discrimination accuracy (the relationship between response and target), while Type II d' (d'2) measures metacognitive discrimination (the relationship between confidence and accuracy).

Source: Blind insight: metacognitive discrimination despite chance task performance · DOI · quote verified

Why can a classical bottom-up Signal Detection Theory (SDT) framework not account for blind insight?

In classical SDT models, metacognitive judgments derive from the same underlying signal as the first-order choice, meaning metacognitive insight cannot mathematically exist without decision accuracy.

Source: Blind insight: metacognitive discrimination despite chance task performance · DOI · quote verified

What neuroanatomical evidence contradicts a purely bottom-up hierarchical model of metacognition?

The anterior prefrontal cortex, which supports metacognitive judgments, receives inputs from higher-order cortical regions rather than early sensory regions, showing a physiological division from first-order perceptual decisions.

Source: Blind insight: metacognitive discrimination despite chance task performance · DOI · quote verified

In the metamemory literature, what is the "cue utilization" approach to confidence?

The cue utilization approach suggests that confidence is based on heuristic cues (such as fluency or brightness) that may be completely unrelated to the actual veridical accuracy of first-order judgments.

Source: Blind insight: metacognitive discrimination despite chance task performance · DOI · quote verified

Why did the authors choose Artificial Grammar Learning (AGL) for this study?

AGL is a well-established implicit learning paradigm where participants classify rule-based letter strings, and it is known for showing decision accuracy in the absence of confidence.

Source: Blind insight: metacognitive discrimination despite chance task performance · DOI · quote verified

How did the dual-grammar design in this study eliminate the need for an untrained control group?

Half of the participants were trained on Grammar A and half on Grammar B, but both classified the exact same test strings, meaning strings that were grammatical for one group were ungrammatical for the other.

Source: Blind insight: metacognitive discrimination despite chance task performance · DOI · quote verified

What systematic trend in performance occurs across the test phase of a dual-grammar AGL design?

Performance accuracy (Type I d') systematically declines over the course of the test phase, likely due to interference from ungrammatical strings.

Source: Blind insight: metacognitive discrimination despite chance task performance · DOI · quote verified

Why did the researchers select participants based on the first 75% of trials rather than using a random subsample?

Because performance systematically declines over time in AGL, chance performance on a random subsample of trials cannot reliably predict chance performance on the remaining trials.

Source: Blind insight: metacognitive discrimination despite chance task performance · DOI · quote verified

Why was selecting participants based on 50% of the trials unsuccessful?

A 50% split did not provide a representative estimate of Type I d' because participants' performance on the remaining trials regressed toward the mean and was significantly greater than zero.

Source: Blind insight: metacognitive discrimination despite chance task performance · DOI · quote verified

How did the researchers verify that the "at-chance" group performed at chance in the final 25% of trials?

Their Type I d' on the remaining trials was not significantly different from zero, and a Bayes factor calculation supported the null hypothesis.

Source: Blind insight: metacognitive discrimination despite chance task performance · DOI · quote verified

What Bayes factor was obtained for the null hypothesis of d'1 = 0 in the at-chance group, and what does it indicate?

The Bayes factor was 0.19, which indicates strong evidence for the null hypothesis (that performance was truly at chance) rather than statistical insensitivity.

Source: Blind insight: metacognitive discrimination despite chance task performance · DOI · quote verified

For participants who showed above-chance decision accuracy, what was the observed relationship between d'2 and d'1?

Their metacognitive accuracy (d'2) was significantly greater than chance, and the mean of d'2 was approximately half that of their first-order accuracy (d'1).

Source: Blind insight: metacognitive discrimination despite chance task performance · DOI · quote verified

What were the key metacognitive findings (d'2) for the at-chance group?

Their metacognitive sensitivity (d'2) remained significantly greater than chance and was not significantly different from the metacognitive sensitivity of the above-chance group.

Source: Blind insight: metacognitive discrimination despite chance task performance · DOI · quote verified

What is Meta-d' and how did the at-chance group perform on this measure?

Meta-d' is a measure of metacognitive sensitivity designed to be independent of Type I response bias; the at-chance group scored significantly above chance on this measure.

Source: Blind insight: metacognitive discrimination despite chance task performance · DOI · quote verified

How did the "confidence-accuracy slope" results support the discovery of blind insight?

The difference in percentage of correct judgments between confident and unconfident trials was significantly greater than zero (9%) for the at-chance group, replicating the findings of other metacognitive metrics.

Source: Blind insight: metacognitive discrimination despite chance task performance · DOI · quote verified

When evaluating the source of metacognitive accuracy in the at-chance group, what pattern was observed for guesses versus confident judgments?

Accuracy was significantly below chance for guesses (42%), but was at chance (50%) for judgments made with some confidence.

Source: Blind insight: metacognitive discrimination despite chance task performance · DOI · quote verified

What cognitive process might explain why unconfident judgments in the at-chance group fell below chance accuracy?

Implicit error monitoring, which reduces confidence when an incorrect first-order classification is made, even though this error signal is not available to the classification decision itself.

Source: Blind insight: metacognitive discrimination despite chance task performance · DOI · quote verified

How does a delay between making a classification and a confidence rating affect metacognitive accuracy?

Prior research shows that metacognitive sensitivity (d'2) tends to decay during a delay rather than increase, indicating that sequential judgments did not artificially boost metacognition.

Source: Blind insight: metacognitive discrimination despite chance task performance · DOI

How did the researchers rule out the idea that blind insight was caused by "inadvertent button press errors"?

If accidental button presses on confident trials caused below-chance guesses, confident trials would have had to be significantly above chance (at least 58%), but they were actually at chance (50%).

Source: Blind insight: metacognitive discrimination despite chance task performance · DOI · quote verified

How could unequal variances in the underlying grammatical and ungrammatical signals theoretically affect d'2?

If the underlying signals had unequal variances, it could mathematically inflate the estimate of Type II d' (d'2) in a standard Signal Detection Theory model.

Source: Blind insight: metacognitive discrimination despite chance task performance · DOI · quote verified

How did the researchers estimate the variance of the underlying grammaticality signals?

They used the variance in participants' subjective familiarity ratings, which strongly predict both grammaticality judgments and confidence ratings.

Source: Blind insight: metacognitive discrimination despite chance task performance · DOI · quote verified

What did the simulation using unequal variances conclude about the observed d'2 of 0.23?

The probability of obtaining a d'2 as large as 0.23 from unequal variance alone was extremely low (p = .010), ruling it out as a plausible artifact.

Source: Blind insight: metacognitive discrimination despite chance task performance · DOI · quote verified

What is "criterion jitter" and how could it potentially confound the study's findings?

Criterion jitter is the fluctuation of decision thresholds across trials, which can artificially deflate the estimate of Type I d' (d'1) while leaving Type II d' (d'2) relatively unaffected.

Source: Blind insight: metacognitive discrimination despite chance task performance · DOI · quote verified

What did the criterion jitter simulation reveal about the likelihood of the true d'1 being above chance?

With a simulated true d'1 of 0.46 and substantial jitter, the probability of obtaining an estimated d'1 of zero was extremely low (p = .002), ruling out jitter as the cause of blind insight.

Source: Blind insight: metacognitive discrimination despite chance task performance · DOI · quote verified

Why does the discovery of blind insight require a fundamental revision of classical SDT models?

Because classical SDT assumes metacognitive judgments are made on the exact same signal underlying first-order decisions, making d'2 > 0 mathematically impossible when d'1 = 0.

Source: Blind insight: metacognitive discrimination despite chance task performance · DOI · quote verified

What does the "hybrid" neural network model of Cleeremans et al. propose regarding first-order and second-order processes?

It proposes a dual-network architecture where first-order decision processes and second-order metacognitive processes are supported by independent feed-forward networks.

Source: Blind insight: metacognitive discrimination despite chance task performance · DOI

Why does Cleeremans et al.'s hybrid neural network model fail to fully explain the stable blind-insight data?

The model only exhibited a blind-insight pattern as a transient stage of training/dynamics rather than as a stable state, and it still assumes unidirectional bottom-up signal flow.

Source: Blind insight: metacognitive discrimination despite chance task performance · DOI · quote verified

What is the predictive processing framework and how could it potentially explain blind insight?

It is a framework proposing that top-down expectations and bottom-up prediction errors interact dynamically to generate both first-order decisions and metacognitive judgments.

Source: Blind insight: metacognitive discrimination despite chance task performance · DOI

How do predictive processing models handle decision thresholds differently than standard SDT models?

They can allow top-down signals to reshape the probability distributions of evidence on which decision thresholds are imposed, decoupling confidence from absolute signal strength.

Source: Blind insight: metacognitive discrimination despite chance task performance · DOI · quote verified

What were the five options participants could select as the "basis" for their grammaticality judgment?

The options were random guessing, intuition, familiarity, a rule or rules they had derived, or recollection.

Source: Blind insight: metacognitive discrimination despite chance task performance · DOI

What primary challenge does blind insight present to cognitive psychology?

It challenges the core intuition that first-order decision accuracy must exist in order for there to be accurate metacognitive discrimination of those decisions.

Source: Blind insight: metacognitive discrimination despite chance task performance · DOI