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Pragmatism

By Michael Alan Prestwood

Fri 7 Jun 2024
Published 2 years ago.
Updated 2 years ago.
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The Rational Pragmatist embraces common knowledge and accommodates their Christian faith while rejecting most other supernatural ideas. The Irrational Pragmatist does not believe in common knowledge.

Pragmatism

3 Types: Empirical, Rational, & Irrational
New Look

30 Phil, Chapter 22, Descartes, Touchstone 55: Pragmatism.

Pragmatism values practical application over intellectual accuracy. For my work and for a new look at it, there are only three types: Empirical, Rational, and Irrational. Empirical Pragmatism aligns closely with some traditional definitions of Logical Pragmatism. Both are in conflict with traditional pragmatism’s goal of resolving belief in the irrational. An Empirical Pragmatist embraces what I call the “Grand Rational Framework,” applying pragmatic techniques to evaluate the worth and effectiveness of ideas. A Rational Pragmatist embraces the Grand Rational Framework, but accommodates specific, faith-based beliefs, often in support of their religion. Beyond that, they might hold other faith-based beliefs but are generally cautious about adopting new ones. An Irrational Pragmatist fundamentally does not believe in a core set of common truths, the Grand Rational Framework. They reject the notion that empirical and rational truths form the basis for understanding. Unlike most people, who still value empirical evidence, the Irrational Pragmatist adopts a relativistic perspective. Phrases like “truth isn’t truth” or “everyone has their own truth” often punctuate their dialogue.

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Michael Alan Prestwood
Author & Natural Philosopher
Prestwood writes on science-first philosophy, with particular attention to the convergence of disciplines. Drawing on his TST Framework, his work emphasizes rational inquiry grounded in empirical observation while engaging questions at the edges of established knowledge. With TouchstoneTruth positioned as a living touchstone, this work aims to contribute reliable, evolving analysis in an emerging AI era where the credibility of information is increasingly contested.
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