Coaching practices for Inference vs Observation

Describe almost anything you are working through and IX Coach finds the practices whose real-world fit is closest. For Inference vs Observation, these are the strongest matches in the current practice library.

Does this sound like the set of challenges you might be facing?

  • "She was being dismissive" feels like a plain fact to me, exactly as solid as "she left the meeting early"
  • I’ve already decided what’s going on and I’m about to act on it
  • My conclusion only makes sense because of a bunch of things I’m silently taking for granted about people and how the world works
  • I’m sure about my read on this, but I only ever notice the things that confirm what I already think
  • 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

  1. The Ladder of Inference
    Chris Argyris's ladder of inference describes the rapid, largely invisible mental journey from raw observable data to a firmly held belief and action — selecting data, interpreting it, making assumptions, drawing conclusions, and acting, often in seconds. The practice is to slow this climb and check each rung, especially in high-stakes situations where conclusions feel certain but may be built on shaky selections and assumptions.
  2. Distinguish observable data from interpretation
    Separate what a camera would record from what you made of it.
    The Ladder of Inference
  3. Test conclusions before acting on them
    Treat your conclusion as a hypothesis and find one piece of evidence that would confirm or disconfirm it.
    The Ladder of Inference
  4. Surface and examine the assumptions you are making
    Name the assumptions filling the gap between the data you selected and the interpretation you reached.
    The Ladder of Inference
  5. Notice which data you selected — and which you ignored
    Your conclusions are built on a sample of the available data — ask what the sample excluded.
    The Ladder of Inference
  6. 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
  7. Use reference classes to ground personal estimates in base rates
    Before estimating how your situation will unfold, find similar past situations and check what happened.
    Bayesian Thinking: How to Update Beliefs Rationally
  8. Separate the data from the narrative you’ve built around it
    List the raw facts, then list the story you’ve layered on top — and check whether the story actually follows.
    The Narrative Fallacy: Why We Can’t Stop Making Stories
  9. Apply the same evidence standard regardless of whether you like the conclusion
    Grade the evidence before you know which conclusion it supports.
    Motivated Reasoning
  10. Track your estimates and calibrate
    Compare your Fermi estimates to actual figures when you can, and use the gap to improve future estimates.
    Fermi Estimation

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