Coaching practices for Logical Fallacies
Describe almost anything you are working through and IX Coach finds the practices whose real-world fit is closest. For Logical Fallacies, these are the strongest matches in the current practice library.
Does this sound like the set of challenges you might be facing?
- I’m reaching for a framework that worked great somewhere else and dropping it onto this situation, and a part of me isn’t sure the two cases are actually the same kind of thing underneath
- I notice I’m really arguing against this person
- My conclusion feels airtight and yet something nags at me, and I think it’s that the whole thing only holds if a couple of unspoken things are true
- Whenever a case pops up that contradicts what I believe, my reflex is to wave it away
- Because I can explain exactly why something would happen, I treat it as likely to happen
Practices that may help
- The Ludic Fallacy: When You Mistake Real Life for a Game
The ludic fallacy, named by Nassim Taleb in The Black Swan, is the mistake of applying the logic of well-defined games (known rules, bounded outcomes, stable probabilities) to domains where those assumptions do not hold — most of real life. The fallacy matters because standard risk models built on game-like distributions systematically underestimate the frequency and magnitude of extreme, unexpected events. This is Taleb’s analytical concept; the supporting evidence is largely observational and historical rather than from controlled experiments. - The Narrative Fallacy: Why We Can’t Stop Making Stories
The narrative fallacy, named by Nassim Taleb in The Black Swan, is the tendency to construct coherent, causal stories from sequences of events — and then to mistake the story for the underlying reality. Narratives feel explanatory because they are causal and emotionally coherent, but they systematically underweight randomness, omit disconfirming details, and create false predictability. The bias is real and well-grounded theoretically; its practical importance is high wherever decisions depend on forecasting or learning from the past. - Question whether the category you’re reasoning from actually fits
Before applying a model or framework, verify that the category it was built on genuinely matches your situation.
The Ludic Fallacy: When You Mistake Real Life for a Game - Separate the argument from the arguer
Address the claim on its merits, not the person’s motives or character.
Productive Disagreement, Made Practical - Surface and test underlying assumptions
Identify the implicit assumptions that your reasoning depends on and test whether they hold.
Socratic Questioning - Weigh disconfirming evidence more heavily than confirming evidence
One strong counterexample outweighs many confirming examples for a universal claim.
Falsification Thinking - Explicitly distinguish coherence from probability
A story can be internally consistent and still be rare — learn to separate "makes sense" from "likely."
The Conjunction Fallacy — When "More Details" Feels More Likely - Check for false analogies: does the structural mapping actually hold?
Test whether a compelling analogy survives scrutiny of its relational structure.
Analogical Reasoning - Generate alternative histories for past outcomes
For any past success or failure, construct two or three plausible alternative paths that could have led to a different outcome.
The Narrative Fallacy: Why We Can’t Stop Making Stories - Use two-sided messages with a sophisticated audience
Acknowledge the strongest objection, then refute it — this is more persuasive than ignoring it.
Elaboration Likelihood Model, Made Practical
Related concerns
- Ludic Fallacy
The ludic fallacy, named by Nassim Taleb in The Black Swan, is the mistake of applying the logic of well-defined games (known rules, bounded outcomes, stable probabilities) to domains where those assumptions do not hold — most of real life. The fallacy matters because standard risk models built on game-like distributions systematically underestimate the frequency and magnitude of extreme, unexpected events. This is Taleb’s analytical concept; the supporting evidence is largely observational and historical rather than from controlled experiments.
- What Is The Ludic Fallacy
The ludic fallacy, named by Nassim Taleb in The Black Swan, is the mistake of applying the logic of well-defined games (known rules, bounded outcomes, stable probabilities) to domains where those assumptions do not hold — most of real life. The fallacy matters because standard risk models built on game-like distributions systematically underestimate the frequency and magnitude of extreme, unexpected events. This is Taleb’s analytical concept; the supporting evidence is largely observational and historical rather than from controlled experiments.
- Argument Objections
For each supporting reason, find the best counter and put it on the map.
Add the strongest objection to every major supporting reason
- Informal Fallacy Analogy
Test whether a compelling analogy survives scrutiny of its relational structure.
Check for false analogies: does the structural mapping actually hold?
- Narrative Fallacy Learning
The narrative fallacy, named by Nassim Taleb in The Black Swan, is the tendency to construct coherent, causal stories from sequences of events — and then to mistake the story for the underlying reality. Narratives feel explanatory because they are causal and emotionally coherent, but they systematically underweight randomness, omit disconfirming details, and create false predictability. The bias is real and well-grounded theoretically; its practical importance is high wherever decisions depend on forecasting or learning from the past.
- Nassim Taleb Ludic Fallacy
The ludic fallacy, named by Nassim Taleb in The Black Swan, is the mistake of applying the logic of well-defined games (known rules, bounded outcomes, stable probabilities) to domains where those assumptions do not hold — most of real life. The fallacy matters because standard risk models built on game-like distributions systematically underestimate the frequency and magnitude of extreme, unexpected events. This is Taleb’s analytical concept; the supporting evidence is largely observational and historical rather than from controlled experiments.
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