This note investigates perception bias: To what extent do individual opinions confound reality? We estimated the relative gap between self-declared estimates and real data. With a sample of respondents from Laguna, In The Philippines, we asked about the prevalence of diabetes and smartphone usage. We observed a trend of judgment miscalibration. Responses exhibit significant deviation from facts; for example, inaccuracies can go as high as seven times the real value. Especially for estimates on smartphone ownership, bootstrapped quantile regression models showed that perception bias is associated with age.
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