The Lies That Bind: Rethinking Identity

Kwame Anthony Appiah

"Who do you think you are? That's a question bound up in another: what do you think you are? Gender. Religion. Race. Nationality. Class. Culture. Such affiliations give contours to our sense of self, and shape our polarized world. Yet the collective identities they spawn are riddled with contradictions, and cratered with falsehoods. Kwame Anthony Appiah's The Lies That Bind is an incandescent exploration of the nature and history of the identities that define us. It challenges our assumptions about how identities work. We all know there are conflicts between identities, but Appiah shows how identities are created by conflict. Religion, he demonstrates, gains power because it isn't primarily about belief. Our everyday notions of race are the detritus of discarded nineteenth-century science. Our cherished concept of the sovereign nation--of self-rule--is incoherent and unstable.

Race & EthnicityRace & Ethnicity · medium confidenceRace & Ethnicity81 signalsLlm Classifier: Race & Ethnicity -> Race & EthnicityKeyword Classifier: Business & Economics -> Business & EconomicsKeyword Classifier: Gender & Sexuality -> Gender & SexualityScience & DiscoveryBusiness, Capitalism & CorporationsClass, Poverty & InequalityGender & Feminism
Experimental book profileGenerated by GPT-5.4 nano · may contain inaccuracies

This is an unverified interpretation of the catalog description, offered as an opt-in discovery experiment—not as bibliographic fact.

  1. 01 Central figures

    None extracted with sufficient confidence.

  2. 02 Central places

    None extracted with sufficient confidence.

  3. 03 Suggested argument

    Identities—such as gender, religion, race, nationality, class, and culture—are created by conflict and rest on contradictions and falsehoods, including nineteenth-century scientific residues in everyday race notions.

    Model confidence 64%

  4. 04 Reading orientation

    45 / 100 academic

    Trade / academic crossover

    An estimate of intended readership and scholarly apparatus—not quality or importance.

Confidence percentages are the model's own estimates. Profile confidence: 62%.