Nutrition
Visual Portion Estimation Bias
Visual portion estimation bias makes dense foods look smaller and salads larger—scale training and Ohga history comparisons correct systematic drift.
Visual portion estimation bias is the human tendency to under-report dense foods and over-report salads on photos and memory—nuts, cheese, and rice look smaller than they weigh; leafy piles look larger. Training with scales for two weeks sharpens eye calibration.
Loggers chasing deficit often bias low without noticing.
Common questions
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Which foods are most underestimated in photos?
Nuts, nut butters, cheese, oils, and compact rice or pasta mounds—high kcal per visual volume. Weigh these categories periodically even if you photo-log everything else.
Related terms
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