The Gravity of Grammar: Binary Inertia and the Distortion of Epistemic Calibration
A language paper about how ordinary grammar pulls graded confidence into misleading yes-or-no claims.
Source Paper
This page is a simplified guide to the paper. The source document is linked below; the guide here keeps the main idea accessible and tied back to the site’s model.
Open on Academia.eduLow-Register Abstract
This paper argues that language often makes uncertainty sound more settled than it is. We say “X is true” or “I believe X,” even when our actual confidence might be 55%, 70%, or 90%.
The problem is called binary inertia: the pull toward yes-or-no speech. That pull can make people sound more certain than they are and can make public disagreement harsher than the evidence deserves.
How It Fits Credencing
This paper explains why the site keeps returning to percentages, confidence levels, priors, likelihoods, and posteriors. Those tools help resist the flattening pressure of ordinary belief language.
It also clarifies why the glossary and discussion pages encourage phrases such as “I assign moderate confidence” rather than simply “I believe.”
How to Read It
Read this when a debate feels stuck in labels. The practical move is to translate binary sentences into confidence claims: how sure, on what evidence, and open to what update?
Adjacent References
These are starting points rather than exhaustive citations. They connect this page to nearby work in probability, calibration, cognitive bias, and social epistemology.
- |Daniel Kahneman and Amos Tversky, "Judgment under Uncertainty: Heuristics and Biases" (1974).
- |Sarah Lichtenstein, Baruch Fischhoff, and Lawrence D. Phillips, "Calibration of Probabilities" (1982).