Three studies demonstrate the warm glow heuristic (Monin, 2003) without relying on aggregated ratings, and illustrate the important distinction between correlating average ratings versus averaging individual correlations. In Study 1, we re-analyze previous data correlating individual ratings with aggregates from another small sample of raters. In Study 2, we correlate individual familiarity ratings with normed attractiveness from a large sample of raters (n > 2,500). Study 3 bypasses the issue of aggregates altogether by having participants provide both attractiveness and familiarity ratings and computing correlations within participants. Despite this more conservative approach, the results of all three studies support the existence of the beautiful–is–familiar phenomenon.