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Comment
. 2018 Oct 24;285(1889):20181274.
doi: 10.1098/rspb.2018.1274.

Identification of acutely sick people: individual differences and social information use

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Comment

Identification of acutely sick people: individual differences and social information use

Ralf H J M Kurvers et al. Proc Biol Sci. .
No abstract available

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Conflict of interest statement

We declare we have no competing interests.

Figures

Figure 1.
Figure 1.
The observed (a, b) and (assuming no individual differences) expected (c, d) distributions of raters' discrimination ability (i.e. d-prime) and response bias when discriminating between healthy and sick individuals (see main text for details). The black and red dashed lines show the median performance and the 95% CIs of the expected distribution, respectively. (a) The observed distribution of raters’ d-prime had a stronger right-skewed distribution than expected (c), indicating a substantially higher number of high-performers than expected. (b) The observed distribution of raters' response bias was substantially more fat-tailed than expected (d), indicating substantial individual differences in how individuals balance the trade-off between sensitivity and specificity. (Online version in colour.)
Figure 2.
Figure 2.
The performance of individuals employing the (a) follow-the-best-member rule and (b) follow-the-majority rule. (a) With increasing group size, both the specificity (solid red line) and sensitivity (dotted blue line) of an individual employing the follow-the-best-member rule increased. (b) For an individual employing the follow-the-majority rule, with increasing group size, the specificity increased but not the sensitivity. Results are based on 2 500 randomly drawn groups (see main text for details). (Online version in colour.)

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