Utilizing simple cues to informational dependency

Abstract Studies have shown that participants can adequately take into account several cues regarding the weight they should grant majority opinions, such as the absolute and relative size of the majority. However, participants do not seem to consistently take into account cues about whether the members of the majority have formed their opinions independently of each other. Using an evolutionary framework, we suggest that these conflicting results can be explained by distinguishing evolutionarily valid cues (i.e. they were present and reliable during human evolution) from other cues. We use this framework to derive and test five hypotheses (H1 to H5). Our first three experiments reveal that participants discount majority opinion when the members of the majority owe their opinions to the same hearsay (H1), owe their opinions to having perceived the same event (H2), or owe their opinions to a common motivation (H3). Experiment 4 suggests that, by contrast, participants do not discount majority opinion when the members of the majority owe their opinions to sharing similar cognitive traits (H4). Finally, Experiment 5 suggests that participants adequately discount majority opinion when one of the members of the majority is untrustworthy (H5). This set of experiments shows that participants can be quite skilled at dealing with informational dependency, and that an evolutionary framework helps make sense of their strengths and weaknesses in this domain.

[1]  R. Hertwig,et al.  The description–experience gap in risky choice , 2009, Trends in Cognitive Sciences.

[2]  H. Mercier,et al.  Evidence that Two‐Year‐Old Children are Sensitive to Information Presented in Arguments , 2018 .

[3]  J. Cacioppo,et al.  The Elaboration Likelihood Model of Persuasion , 1986 .

[4]  E. Hagen,et al.  Psychological adaptations for assessing gossip veracity , 2006, Human nature.

[5]  R. Boyd,et al.  The evolution of conformist transmission and the emergence of between-group differences. , 1998 .

[6]  Frank C. Keil,et al.  Any consensus will do: The failure to distinguish between 'true' and 'false' consensus , 2018, CogSci.

[7]  T. J. Roper,et al.  Group decision-making in animals , 2003, Nature.

[8]  Thomas L. Griffiths,et al.  How do you know that? Sensitivity to statistical dependency in social learning , 2013, CogSci.

[9]  Catharine H. Echols,et al.  Playing by the rules: Self-interest information influences children’s trust and trustworthiness in the absence of feedback , 2015, Cognition.

[10]  Reid Hastie,et al.  The robust beauty of majority rules in group decisions. , 2005, Psychological review.

[11]  I. Couzin,et al.  Shared decision-making drives collective movement in wild baboons , 2015, Science.

[12]  Lu Hong,et al.  Groups of diverse problem solvers can outperform groups of high-ability problem solvers. , 2004, Proceedings of the National Academy of Sciences of the United States of America.

[13]  Frank C. Keil,et al.  The Development of Cynicism , 2005, Psychological science.

[14]  Brent Strickland,et al.  Evaluating arguments from the reaction of the audience , 2012 .

[15]  Hugo Mercier,et al.  How Gullible are We? A Review of the Evidence from Psychology and Social Science , 2017 .

[16]  C. List,et al.  Group decisions in humans and animals: a survey , 2009, Philosophical Transactions of the Royal Society B: Biological Sciences.

[17]  S. Bonaccio,et al.  Advice taking and decision-making: An integrative literature review, and implications for the organizational sciences , 2006 .

[18]  Thomas L. Griffiths,et al.  Sensitivity to Shared Information in Social Learning , 2018, Cogn. Sci..

[19]  H. Mercier,et al.  Majority rules: how good are we at aggregating convergent opinions? , 2019, Evolutionary Human Sciences.

[20]  David M. Estlund,et al.  Opinion leaders, independence, and Condorcet's Jury Theorem , 1994 .

[21]  K. Ladha The Condorcet Jury Theorem, Free Speech and Correlated Votes , 1992 .

[22]  J. Kruger,et al.  Unskilled and unaware of it: how difficulties in recognizing one's own incompetence lead to inflated self-assessments. , 1999, Journal of personality and social psychology.

[23]  John Tooby,et al.  Cognitive Adaptations for n-person Exchange: The Evolutionary Roots of Organizational Behavior. , 2006, Managerial and decision economics : MDE.

[24]  P. Richerson,et al.  Not by Genes Alone , 2004 .

[25]  M. Tomasello Origins of human communication , 2008 .

[26]  Gunnar E. Schrah,et al.  Improving judgement with prepaid expert advice , 2004 .

[27]  Laureen A. Maines The Effect of Forecast Redundancy on Judgments of a Consensus Forecast's Expected Accuracy , 1990 .

[28]  K. Laland,et al.  The evolutionary basis of human social learning , 2012, Proceedings of the Royal Society B: Biological Sciences.

[29]  R. Bond,et al.  Group Size and Conformity , 2005 .

[30]  Jonathan D. Lane,et al.  Infants Understand How Testimony Works , 2013, Topoi.

[31]  Diana C. Mutz Impersonal Influence: How Perceptions of Mass Collectives Affect Political Attitudes , 1998 .

[32]  Nicolas de Condorcet Essai Sur L'Application de L'Analyse a la Probabilite Des Decisions Rendues a la Pluralite Des Voix , 2009 .

[33]  L. Cosmides The logic of social exchange: Has natural selection shaped how humans reason? Studies with the Wason selection task , 1989, Cognition.

[34]  P. Harris Trusting What You’re Told , 2012 .