Atkins v. Virginia, 536 U.S. 304, 23 (2002)

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326

ATKINS v. VIRGINIA

Rehnquist, C. J., dissenting

gious communities . . . reflecting Christian, Jewish, Muslim, and Buddhist traditions . . . 'share a conviction that the execution of persons with mental retardation cannot be morally justified' "; and stating that "polling data shows a widespread consensus among Americans . . . that executing the mentally retarded is wrong"). In my view, none should be accorded any weight on the Eighth Amendment scale when the elected representatives of a State's populace have not deemed them persuasive enough to prompt legislative action. In Penry, 492 U. S., at 334-335, we were cited similar data and declined to take them into consideration where the "public sentiment expressed in [them]" had yet to find expression in state law. See also Stanford, 492 U. S., at 377 (plurality opinion) (refusing "the invitation to rest constitutional law upon such uncertain foundations" as "public opinion polls, the views of interest groups, and the positions adopted by various professional associations"). For the Court to rely on such data today serves only to illustrate its willingness to proscribe by judicial fiat—at the behest of private organizations speaking only for themselves—a punishment about which no across-the-board consensus has developed through the workings of normal democratic processes in the laboratories of the States.

Even if I were to accept the legitimacy of the Court's decision to reach beyond the product of legislatures and practices of sentencing juries to discern a national standard of decency, I would take issue with the blind-faith credence it accords the opinion polls brought to our attention. An extensive body of social science literature describes how methodological and other errors can affect the reliability and validity of estimates about the opinions and attitudes of a population derived from various sampling techniques. Everything from variations in the survey methodology, such as the choice of the target population, the sampling design used, the questions asked, and the statistical analyses used to interpret the data can skew the results. See, e. g., R. Groves, Survey

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