Coaching practices for Coherence vs Probability
Describe almost anything you are working through and IX Coach finds the practices whose real-world fit is closest. For Coherence vs Probability, these are the strongest matches in the current practice library.
Does this sound like the set of challenges you might be facing?
- Because I can explain exactly why something would happen, I treat it as likely to happen
- A scenario laid out as a vivid story grips me, but the moment I’d try to say it plainly
- When two things fit together neatly in my head, I treat the whole package as more likely than either piece alone
- I’ve lived inside this scenario so long that every piece feels obvious to me
- I’m leaning hard on the evidence that lines up with what I want to be true and brushing off the rest
Practices that may help
- 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 - Strip the narrative and restate as a bare frequency claim
Translate the vivid scenario into a dry statistical question to see if it still feels probable.
The Conjunction Fallacy — When "More Details" Feels More Likely - 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 - Consult an outside observer to counteract narrative pull
Describe the scenario to someone who doesn’t share your narrative context and listen to their probability estimate.
The Conjunction Fallacy — When "More Details" Feels More Likely - Evaluate evidence by its likelihood ratio, not by how it makes you feel
Ask how much more likely this evidence would be if you’re right versus if you’re wrong.
Bayesian Thinking: How to Update Beliefs Rationally - Identify which features are actually diagnostic
Separate features that genuinely differentiate categories from ones that just complete the picture.
The Representativeness Heuristic — Judging by Resemblance - Check whether the rules of your domain are actually stable
Before applying any probability model, ask whether the rules governing outcomes could change mid-game.
The Ludic Fallacy: When You Mistake Real Life for a Game - Count the assumptions each explanation requires
When two explanations fit the facts, count how many unverified assumptions each one rests on.
Occam’s Razor: Prefer the Simpler Explanation - Audit plans for scenario inflation
Before committing to a plan that depends on multiple things going right, count the dependencies.
The Conjunction Fallacy — When "More Details" Feels More Likely - Think and communicate in explicit probabilities
Replace vague language ("probably," "likely") with numerical probabilities.
Superforecasting
Related concerns
- Conjunction Error Probability
Before judging a joint claim, estimate each element on its own, then check whether the conjunction is lower.
Test each component probability separately
- When Conjunction Fallacy Decompose Conjunctions
Before judging a joint claim, estimate each element on its own, then check whether the conjunction is lower.
- How To Reason Probabilistically
Bayesian thinking is the practice of holding beliefs as probabilities and updating them systematically when new evidence arrives — rather than treating beliefs as simply true or false. The mathematical framework is well established; the challenge is building the habits of explicit probability estimation and honest belief updating that make it practical.
- The Conjunction Fallacy When More Details Feels More Likely After A Setback
The conjunction fallacy is the well-replicated tendency to judge a specific combination of events as more probable than one of its components alone — made famous by Kahneman and Tversky’s Linda problem. It happens because vivid, representative details hijack probability judgment, and the fix is to reason about base rates rather than narrative fit.
- The Conjunction Fallacy When More Details Feels More Likely At Work
The conjunction fallacy is the well-replicated tendency to judge a specific combination of events as more probable than one of its components alone — made famous by Kahneman and Tversky’s Linda problem. It happens because vivid, representative details hijack probability judgment, and the fix is to reason about base rates rather than narrative fit.
- When Representativeness Heuristic Distinguish Diagnostic From Decorative Features
Separate features that genuinely differentiate categories from ones that just complete the picture.
Identify which features are actually diagnostic
Describe your situation in your own words to search the complete practice library.