Uncertainty-Absurdity Mutuality

Human cognition strives for coherence and meaning, yet it operates within a reality marked by ontological indeterminacy and epistemic incompleteness. This tension gives rise to two fundamental conditions: uncertainty and absurdity. Wild Wise Weird is a philosophical work that explores the dynamic link between these conditions through narrative storytelling. Using Granular Interaction Thinking Theory (GITT) and Bayesian Mindsponge Framework analytics, we conduct a quantitative philosophical analysis of 48 stories in Wild Wise Weird to examine its propositions concerning uncertainty and absurdity. Bayesian logistic models indicate that complete uncertainty and small absurdity reliably predict big absurdity. Moreover, modes of misinformation production—particularly lying and speculation—strengthen the association between complete uncertainty and big absurdity. The findings support an uncertainty–absurdity spiral in which partial uncertainty contributes to small absurdity, small absurdity increases vulnerability to complete uncertainty, and complete uncertainty culminates in large-scale absurdity. The study further discusses how this spiral may be avoided through Daoist and Kingfisherish perspectives, which emphasize adaptive recalibration grounded in humility, compassion, and the cultivation of Nature Quotient. In an era characterized by digital misinformation, ecological instability, and political polarization, understanding the structural interplay between uncertainty and absurdity offers both philosophical insight and practical guidance for managing cognitive and social entropy.

Publication Details

Journal
Knowledge Commons (Lakehead University)
Published
2026-02-21
DOI
https://doi.org/10.17613/qbnh0-wxn62
Primary Topic
Misinformation and Its Impacts
Type
article
Field-Weighted Citation Impact
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Uncertainty-Absurdity Mutuality

Knowledge Commons (Lakehead University)
Misinformation and Its Impacts
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Uncertainty-Absurdity Mutuality

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Abstract

Human cognition strives for coherence and meaning, yet it operates within a reality marked by ontological indeterminacy and epistemic incompleteness. This tension gives rise to two fundamental conditions: uncertainty and absurdity. Wild Wise Weird is a philosophical work that explores the dynamic link between these conditions through narrative storytelling. Using Granular Interaction Thinking Theory (GITT) and Bayesian Mindsponge Framework analytics, we conduct a quantitative philosophical analysis of 48 stories in Wild Wise Weird to examine its propositions concerning uncertainty and absurdity. Bayesian logistic models indicate that complete uncertainty and small absurdity reliably predict big absurdity. Moreover, modes of misinformation production—particularly lying and speculation—strengthen the association between complete uncertainty and big absurdity. The findings support an uncertainty–absurdity spiral in which partial uncertainty contributes to small absurdity, small absurdity increases vulnerability to complete uncertainty, and complete uncertainty culminates in large-scale absurdity. The study further discusses how this spiral may be avoided through Daoist and Kingfisherish perspectives, which emphasize adaptive recalibration grounded in humility, compassion, and the cultivation of Nature Quotient. In an era characterized by digital misinformation, ecological instability, and political polarization, understanding the structural interplay between uncertainty and absurdity offers both philosophical insight and practical guidance for managing cognitive and social entropy.

Knowledge Commons (Lakehead University)
Reduced inequalities
Openalex Percentile: Top 40%
Misinformation and Its Impacts
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