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Group disagreement: a belief aggregation perspective

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Abstract

The debate on the epistemology of disagreement has so far focused almost exclusively on cases of disagreement between individual persons. Yet, many social epistemologists agree that at least certain kinds of groups are equally capable of having beliefs that are open to epistemic evaluation. If so, we should expect a comprehensive epistemology of disagreement to accommodate cases of disagreement between group agents, such as juries, governments, companies, and the like. However, this raises a number of fundamental questions concerning what it means for groups to be epistemic peers and to disagree with each other. In this paper, we explore what group peer disagreement amounts to given that we think of group belief in terms of List and Pettit’s (Econ Philos 18:89–110, 2002; Group agency: the possibility, design, and status of corporate agents, Oxford University Press, Oxford, 2011) ‘belief aggregation model’. We then discuss how the so-called ‘equal weight view’ of peer disagreement is best accommodated within this framework. The account that seems most promising to us says, roughly, that the parties to a group peer disagreement should adopt the belief that results from applying the most suitable belief aggregation function for the combined group on all members of the combined group. To motivate this view, we test it against various intuitive cases, derive some of its notable implications, and discuss how it relates to the equal weight view of individual peer disagreement.

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Notes

  1. For proponents of this view, see Gilbert (1987), List and Pettit (2002, 2011), Schmitt (2014), among others. For critical discussions, see Hakli (2006) and Wray (2001, 2007).

  2. See also Goldman (2011) who uses the aggregation model of group belief to investigate the question of what makes a group belief epistemically justified.

  3. For a prominent critic of the equal weight view, see Kelly (2010). For criticism of the aggregation model of group belief, see Magnus (2013) who argues that the aggregation framework cannot adequately represent what the scientific community knows collectively.

  4. See Gilbert (1987), Toumela (1992), and Schmitt (1994) for nonsummativist accounts of group belief.

  5. See, e.g., Christensen (2007), Levinstein (2015) and Rasmussen et al. (2017).

  6. See, e.g., List (2005) and Hartmann and Sprenger (2012).

  7. More generally, if A has positive reliability x and negative reliability y, and B has positive reliability y and negative reliability x, it is easily verified that A and B have the same likelihood ratio iff \(x=y\) or \(x+y= 1\).

  8. We shall sidestep potential issues concerning how the our notion of reliability relates to the question of what makes groups beliefs justified. In a recent paper, Lackey (2016, §8) has presented an argument, which purports to show that the kind of reliability that can be achieved at the group level as a result of a group’s BAF and reliability profile cannot plausibly be regarded as what matters to whether the group’s belief state is epistemically justified or not. A detailed discussion of Lackey’s argument is beyond the scope of this paper. But even if a group’s reliability is not what ultimately determines the justificatory status of the group’s beliefs, it seems that a group’s reliability could (a presumably would) still be epistemically relevant and, in particular, relevant for how groups should revise their belief in light of group peer disagreement.

  9. Note that even though each group member’s positive reliability is identical to her negative reliability, the group might nevertheless have different positive and negative reliabilities.

  10. See also List (2005) who compares different BAFs as they perform with respect to a group’s positive and negative reliabilities when taken separately.

  11. In previous work, we have defended an alternative to the ‘split the difference’ interpretation of the Equal Weight Dictum for individuals (Rasmussen et al. 2017). See also Fitelson and Jehle (2009) for a discussion of different interpretations of the Equal Weight Dictum in the case of individual peer disagreement.

  12. See also Pettigrew (forthcoming) for a related discussion of how best to aggregate the credences of different, and potentially disagreeing, experts on some matter.

  13. Different procedural considerations might, of course, speak against using the epistemically optimal BAF. For example, considerations of fairness might speak against giving uneven weight to members of the electorate in a democracy (see, e.g., List and Goodin 2001). But since our focus here is purely epistemic, we will not enter into a discussion of how to weigh epistemic and procedural considerations against each other.

  14. More precisely, the reliability \(r_{G}\) of the combined group in Different Reliability Profiles depends on the weight \(w_{200}\) of the dictator in \(\hbox {G}_{2}\) in the following way: \({r}_{G} =.97\cdot \sum _{{i=(101-{w}_{{200}})/2}}^{{100}} \frac{{100!}}{{i!}\left( {{100}-{i}} \right) {!}}\cdot {.6}^{{i}}\cdot \left( {{1}-{.6}} \right) ^{{100}-{i}}{+(1}-{.97)}\cdot \sum _{{i=(101+w_{{200}})/2}}^{{100}} \frac{{100!}}{{i!}\left( {{100}-{i}} \right) {!}}\cdot {.6}^{{i}}\cdot \left( {{1}-{.6}} \right) ^{{100}-{i}}.\)

  15. See Heesen and van der Kolk (2016) for considerations in this direction.

  16. We are grateful to an anonymous referee for bringing this worry to our attention.

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Acknowledgements

An earlier version of this paper was presented at the 2017 Workshop on Groups and Disagreement at University of Copenhagen. We thank the audience on that occasion for valuable feedback. Special thanks to Fernando Broncano-Berrocal and Klemens Kappel for hosting the workshop. We would also like to thank two anonymous referees for Synthese for very helpful comments and criticism.

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Skipper, M., Steglich-Petersen, A. Group disagreement: a belief aggregation perspective. Synthese 196, 4033–4058 (2019). https://doi.org/10.1007/s11229-017-1636-0

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