Disagreeing despite the Data
The Destruction of the Factual Commons
Seiten
2024
Lexington Books/Fortress Academic (Verlag)
978-1-6669-5824-9 (ISBN)
Lexington Books/Fortress Academic (Verlag)
978-1-6669-5824-9 (ISBN)
Drawing on twentieth-century philosophy of science and language, this book identifies three requirements for widespread factual agreement: a pervasive habit of checking assumptions, densely connected communities, and projects that straddle those communities. When communities are insulated from each other, belief segregation follows.
Disagreeing despite the Data: The Destruction of the Factual Commons examines the pressing problem of factual disagreement between social groups, suggesting that the belief segregation underway in the United States may be irreversible. David Apgar argues draws on the work of twentieth-century philosophers of science and language—especially Popper, Wittgenstein, and Davidson—to identify three requirements for factual agreement to be possible at all: a pervasive habit of checking assumptions, densely connected communities, and projects that straddle those communities. The growing refusal to test assumptions and individual isolation can be remedied by critical thinking and community building. However, factual agreement between groups is impossible without shared projects or other meaningful interaction, and a large part of American society has insulated itself from the rest. Without shared projects, communities lose the ability to tell whether they agree or not regardless of the words they use. Disagreeing despite the Data looks at the destructive effects of belief segregation with similar roots in several developing countries, as well as richer ones on the same path, which indicates that widespread factual agreement is more of a miracle than a foregone conclusion.
Disagreeing despite the Data: The Destruction of the Factual Commons examines the pressing problem of factual disagreement between social groups, suggesting that the belief segregation underway in the United States may be irreversible. David Apgar argues draws on the work of twentieth-century philosophers of science and language—especially Popper, Wittgenstein, and Davidson—to identify three requirements for factual agreement to be possible at all: a pervasive habit of checking assumptions, densely connected communities, and projects that straddle those communities. The growing refusal to test assumptions and individual isolation can be remedied by critical thinking and community building. However, factual agreement between groups is impossible without shared projects or other meaningful interaction, and a large part of American society has insulated itself from the rest. Without shared projects, communities lose the ability to tell whether they agree or not regardless of the words they use. Disagreeing despite the Data looks at the destructive effects of belief segregation with similar roots in several developing countries, as well as richer ones on the same path, which indicates that widespread factual agreement is more of a miracle than a foregone conclusion.
David Apgar is adjunct professor at Johns Hopkins SAIS, George Washington University, and Özyeğin Üniversitesi.
Acknowledgments
Introduction
Chapter 1: Fallibilism and Critical Thinking
Chapter 2: Critical Thinking and Complexity
Chapter 3: The Limited Language of the Lone Speaker
Chapter 4: The Partial View of the Lone Observer
Chapter 5: Radical Interpretation and the Factual Commons
Chapter 6: The Physics of the Factual Commons
Conclusion
Bibliography
Index
About the Author
| Erscheinungsdatum | 06.08.2024 |
|---|---|
| Reihe/Serie | Collective Studies in Knowledge and Society |
| Sprache | englisch |
| Maße | 158 x 237 mm |
| Gewicht | 413 g |
| Themenwelt | Geisteswissenschaften ► Philosophie ► Erkenntnistheorie / Wissenschaftstheorie |
| Geisteswissenschaften ► Philosophie ► Sprachphilosophie | |
| Geisteswissenschaften ► Psychologie ► Sozialpsychologie | |
| ISBN-10 | 1-6669-5824-7 / 1666958247 |
| ISBN-13 | 978-1-6669-5824-9 / 9781666958249 |
| Zustand | Neuware |
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