Mythodologie

Mythodologie

Debunk myths, embrace the method

Multidisciplinary association promoting critical thinking through accessible educational content, grounded in scientific rigor and respect for freedom of belief.

37
Conferences
16
Workshops
32
Modules
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Promoting critical thinking

Fundamental principle: Respect freedom of belief and avoid dogmatism, while assessing the validity of evidence and reasoning within the framework of scientific skepticism.

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Critical analysis

Rigorous examination of pseudoscientific and paranormal phenomena.

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Socio-scientific topics

Exploring scientific questions with social and political implications.

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Critical thinking tools

Developing and sharing methods to encourage scientific analysis and information evaluation.

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Decoding pseudoscience

Raising awareness about mechanisms that promote adherence to unfounded ideas.

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Educational content

Creating diverse content (articles, videos, and conferences) to popularize critical thinking.

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Inclusivity

Adapting content for different audiences while avoiding scientism.

Scientific insight and critical thinking for everyone

Mythodologie is an association dedicated to promoting critical thinking and scientific skepticism, disseminating rigorously science-based content and engaging in outreach through articles, conferences, and newsletters.

Conférences Mythodologie
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Knowledge sharing

Engaging conferences

The organization focuses on holding public conferences to examine current topics, share knowledge, and develop the audience's critical thinking skills.

Informative articles

The platform publishes detailed analyses on various subjects to educate and inform a broad audience.

Littérature scientifique
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Scientific rigor

Grounded in scientific literature

Content relies heavily on current scientific research to ensure credibility.

Updated and comprehensive

The association keeps its content up to date to reflect the latest scientific discoveries.

Acknowledging fallibility

The organization recognizes the possibility of errors and emphasizes the importance of acknowledging limitations and correcting mistakes.

Recent articles

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Methodology for studying the rhetoric of the Mazan trial
Articles

Methodology for studying the rhetoric of the Mazan trial

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Analysing judicial rhetoric: the case of the Mazan trial
Articles

Analysing judicial rhetoric: the case of the Mazan trial

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Critical Thinking as Epistemic Infrastructure: From the Deficit Model to a Social Epistemology of Disinformation Resilience
Articles

Critical Thinking as Epistemic Infrastructure: From the Deficit Model to a Social Epistemology of Disinformation Resilience

The dominant approach to disinformation treats it as a problem of individual cognition: people lack critical thinking skills, fall for cognitive biases, or fail to evaluate sources properly. This paper argues that this framing is fundamentally mistaken. Drawing on social epistemology, the cognitive science of reasoning, democratic theory, educational research on collaborative learning, empirical research on disinformation ecosystems, and the emerging practice of open-source intelligence (OSINT), we show that critical thinking has always depended on institutional structures, not merely on individual capacity.

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A freedom that subdues us
Articles

A freedom that subdues us

The texts that follow attack the idea of freedom, supposed to be the distinctive attribute of humans. They are part of a more general critique that targets the notions of Nature and of Humanity: I argue indeed that these two notions form a couple, an ideological unity that makes it possible to ground the dominations by which classes of beings are appropriated by others (as was the case for slaves, as is still very often the case for women, and as fully remains the case today for non-human animals). We shall see that this Humanity/Nature couple, and most particularly the idea of human freedom that follows from it, also strengthens the general subordination of individuals to the social order.

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AI and humans: who is learning from whom?
Conférences

AI and humans: who is learning from whom?

Artificial intelligence is neither an omniscient super-brain nor a mere passive tool. Between these two caricatures, a more subtle reality is taking shape: systems that learn from us, reveal our biases, and force us to question our own cognitive mechanisms.

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Thinking with machines: towards augmented intelligence?
Conférences

Thinking with machines: towards augmented intelligence?

Large language models (LLMs) are not merely text-generation tools. They open up a fundamental philosophical question: where does the mind stop?

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