Logical Fallacies Black and White: 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 Black and White, these are the strongest matches in the current practice library.
Practices that may help
- 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. - Separate the argument from the arguer
Address the claim on its merits, not the person’s motives or character.
Productive Disagreement, Made Practical - 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 - Steelman the opposing view before rebutting it
Reconstruct the strongest possible version of the argument you disagree with — then respond to that.
Naive Realism: Why Everyone Thinks They See Things as They Are - Weigh disconfirming evidence more heavily than confirming evidence
One strong counterexample outweighs many confirming examples for a universal claim.
Falsification Thinking - Apply the same evidence standard regardless of whether you like the conclusion
Grade the evidence before you know which conclusion it supports.
Motivated Reasoning - 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 - Evaluate the argument structure, not the source
Map the logic and evaluate it independently of who made the argument.
Argument Mapping - White hat: establish the facts before opinion
Separate what is known from what is inferred — the white hat is for data only, with no interpretation.
Six Thinking Hats, Made Practical
Does this sound like the set of challenges you might be facing?
- I notice I’m really arguing against this person
- 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 keep winning this argument in my head against the dumbest version of what they think, and then it goes nowhere in real life
- Whenever a case pops up that contradicts what I believe, my reflex is to wave it away
- A flimsy study that confirms what I want I’ll wave straight through, but a solid one that contradicts me I’ll pick apart for hours
Related concerns
- Logical Fallacies Appeal To Ignorance
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 Bandwagon Examples
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 Examples In Politics
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 In Arguments
Address the claim on its merits, not the person’s motives or character.
Separate the argument from the arguer
- Logical Fallacies Referee
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
- Logical Fallacies Straw Man Examples
Reconstruct the strongest possible version of the argument you disagree with — then respond to that.
Steelman the opposing view before rebutting it
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