{"title":"状态","authors":"Shaun Nichols","doi":"10.1093/oso/9780198869153.003.0006","DOIUrl":null,"url":null,"abstract":"Moral judgments are often regarded as universally true, whereas judgments of taste are taken to be only true relative to some group or individual. How could such meta-evaluative assessments be acquired? This chapter argues that people use consensus information to arrive at such assessments, and that it is rational to do so. Statistical inference mandates a trade-off between the extent to which a hypothesis fits the data, and the extent to which the hypothesis is flexible in its ability to fit a wider range of data. If almost everyone agrees in their judgments, this provides some reason to endorse a universalist hypothesis, according to which there is a single fact that the majority is tracking. So if almost everyone thinks that a certain action is wrong, the high consensus provides some evidence that it’s a universal truth that this action is wrong. The inference that it’s a universal truth that an action is wrong can also ground the judgment that the action is wrong in a way that is independent of authority. Thus, this might also provide an explanation for the acquisition of the moral/conventional distinction.","PeriodicalId":383766,"journal":{"name":"Rational Rules","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-02-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Status\",\"authors\":\"Shaun Nichols\",\"doi\":\"10.1093/oso/9780198869153.003.0006\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Moral judgments are often regarded as universally true, whereas judgments of taste are taken to be only true relative to some group or individual. How could such meta-evaluative assessments be acquired? This chapter argues that people use consensus information to arrive at such assessments, and that it is rational to do so. Statistical inference mandates a trade-off between the extent to which a hypothesis fits the data, and the extent to which the hypothesis is flexible in its ability to fit a wider range of data. If almost everyone agrees in their judgments, this provides some reason to endorse a universalist hypothesis, according to which there is a single fact that the majority is tracking. So if almost everyone thinks that a certain action is wrong, the high consensus provides some evidence that it’s a universal truth that this action is wrong. The inference that it’s a universal truth that an action is wrong can also ground the judgment that the action is wrong in a way that is independent of authority. Thus, this might also provide an explanation for the acquisition of the moral/conventional distinction.\",\"PeriodicalId\":383766,\"journal\":{\"name\":\"Rational Rules\",\"volume\":\"10 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-02-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Rational Rules\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1093/oso/9780198869153.003.0006\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Rational Rules","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1093/oso/9780198869153.003.0006","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Moral judgments are often regarded as universally true, whereas judgments of taste are taken to be only true relative to some group or individual. How could such meta-evaluative assessments be acquired? This chapter argues that people use consensus information to arrive at such assessments, and that it is rational to do so. Statistical inference mandates a trade-off between the extent to which a hypothesis fits the data, and the extent to which the hypothesis is flexible in its ability to fit a wider range of data. If almost everyone agrees in their judgments, this provides some reason to endorse a universalist hypothesis, according to which there is a single fact that the majority is tracking. So if almost everyone thinks that a certain action is wrong, the high consensus provides some evidence that it’s a universal truth that this action is wrong. The inference that it’s a universal truth that an action is wrong can also ground the judgment that the action is wrong in a way that is independent of authority. Thus, this might also provide an explanation for the acquisition of the moral/conventional distinction.