Mastering Logical Fallacies: 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 Mastering Logical Fallacies, these are the strongest matches in the current practice library.
Practices that may help
- Add the strongest objection to every major supporting reason
For each supporting reason, find the best counter and put it on the map.
Argument Mapping - 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 - Separate the argument from the arguer
Address the claim on its merits, not the person’s motives or character.
Productive Disagreement, Made Practical - Evaluate the argument structure, not the source
Map the logic and evaluate it independently of who made the argument.
Argument Mapping - Surface and test underlying assumptions
Identify the implicit assumptions that your reasoning depends on and test whether they hold.
Socratic Questioning - Rate the strength of each logical link
Assign a confidence to each "supports" or "rebuts" link, not just to the conclusion.
Argument Mapping - 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 - Catch yourself working backward from a conclusion
Notice when the conclusion appeared before the evidence — and treat that as a red flag.
Motivated 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. - Weigh disconfirming evidence more heavily than confirming evidence
One strong counterexample outweighs many confirming examples for a universal claim.
Falsification Thinking
Does this sound like the set of challenges you might be facing?
- Every reason I come up with points the same way, and that smoothness is starting to make me suspicious
- There’s one obvious hole in my case and I keep wanting to just not mention it
- I notice I’m really arguing against this person
- I notice I believe things mostly based on who said them
- 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
Related concerns
- Fallacies Logical Reasoning
Find the unstated assumptions that the argument needs to work.
Surface the hidden premises
- Learn 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 Reasoning Skills
For each supporting reason, find the best counter and put it on the map.
Add the strongest objection to every major supporting reason
- Formal Logical Fallacies
Identify the implicit assumptions that your reasoning depends on and test whether they hold.
Surface and test underlying assumptions
- Logical Fallacies And Critical Thinking
Identify the implicit assumptions that your reasoning depends on and test whether they hold.
- Logical Fallacies Cards
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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