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Readers Saying It's Well Written Doesn't Mean They Learned: What Self-Ratings, Liking, Viewing Time, Practice Scores, and Proxy Metrics Each Measure

In a crossover experiment in a Harvard physics course, the class in which students scored 0.46 standard deviations higher on the test was the one they rated 0.56 lower; in an experiment with generative AI available, self-ratings rose more than actual improvement could explain. Viewing time, platform activity, and models predicting a pass mostly measure how much was done, not learning measured separately. This site's traffic statistics are aggregate, and none of its signals can measure whether readers learned.

How AI Summaries Change the Path from Content to Traffic

AI search separates visibility, citation, referral, and conversion into different events; publishers need to measure attributable referrals, activation, and source cohorts—not rankings and sessions alone.