Related Experiment Video
Updated: Dec 28, 2025

An Experimental Analysis of Children's Ability to Provide a False Report about a Crime
Published on: May 3, 2016
The Role of Social Circle Perceptions in "False Consensus" about Population Statistics: Evidence from a National Flu
Wändi Bruine de Bruin1, Mirta Galesic2,3, Andrew M Parker4
1Sol Price School of Public Policy, Department of Psychology, Schaeffer Center for Health Policy and Economics, and Center for Economic and Social Research, University of Southern California, Los Angeles, CA, USA.
Abstract:
Purpose. "False consensus" refers to individuals with (v. without) an experience judging that experience as more (v. less) prevalent in the population. We examined the role of people's perceptions of their social circles (family, friends, and acquaintances) in shaping their population estimates, false consensus patterns, and vaccination intentions. Methods. In a national online flu survey, 351 participants indicated their personal vaccination and flu experiences, assessed the percentage of individuals with those experiences in their social circles and the population, and reported their vaccination intentions. Results. Participants' population estimates of vaccination coverage and flu prevalence were associated with their perceptions of their social circles' experiences, independent of their own experiences. Participants reporting less social circle "homophily" (or fewer social contacts sharing their experience) showed less false consensus and even "false uniqueness." Vaccination intentions were greater among nonvaccinators reporting greater social circle vaccine coverage. Discussion. Social circle perceptions play a role in population estimates and, among individuals who do not vaccinate, vaccination intentions. We discuss implications for the literature on false consensus, false uniqueness, and social norms interventions.
More Related Videos
Related Concept Videos
Social Proof
Conformity
Testing a Claim about Population Proportion
There are two methods of testing a claim about a population proportion: (1) Using the sample proportion from the data where a binomial distribution is approximated to the normal distribution and (2) Using the binomial probabilities calculated from the data.
The first method uses normal distribution as an approximation to the binomial distribution. The requirements are as follows: sample size is large...
Groupthink
Confirmation Biases
Confounding in Epidemiological Studies

