Logical Fallacies False Premise: 10 Evidence-Based Coaching Practices
Describe almost anything you are working through and IX Coach finds the practices whose real-world fit is closest. For Logical Fallacies False Premise, these are the strongest matches in the current practice library.
Practices that may help
- Surface and test underlying assumptions
Identify the implicit assumptions that your reasoning depends on and test whether they hold.
Socratic Questioning - Surface the hidden premises
Find the unstated assumptions that the argument needs to work.
Argument Mapping - 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. - Check for false analogies: does the structural mapping actually hold?
Test whether a compelling analogy survives scrutiny of its relational structure.
Analogical Reasoning - 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. - 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 - Test each component probability separately
Before judging a joint claim, estimate each element on its own, then check whether the conjunction is lower.
The Conjunction Fallacy — When "More Details" Feels More Likely - 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 - Anchor on base rates before adding details
Start with how common the outcome is in the relevant population, then update — don’t start with the story.
The Conjunction Fallacy — When "More Details" Feels More Likely
Does this sound like the set of challenges you might be facing?
- 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
- On paper my reasoning checks out, but the conclusion still feels shaky and I can’t locate why
- Someone keeps winning the argument with a comparison that sounds so persuasive I can’t counter it in the moment
- 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
- When two things fit together neatly in my head, I treat the whole package as more likely than either piece alone
Related concerns
- Logical Fallacies Exercises
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.
- Logic Fallacy Freshman
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.
- Logical Fallacies
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.
- Logical Fallacies And Definitions
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.
- Logical Fallacies Cheat Sheet
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.
- Logical Fallacies Cherry Picking
Before applying a model or framework, verify that the category it was built on genuinely matches your situation.
Question whether the category you’re reasoning from actually fits
Describe your situation in your own words to search the complete practice library.