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Correlation vs Causation

META
ScienceScientific Inquiry|Ages 8—10|ID: mt_X0Tr8IYaEd

Two things happening together doesn't mean one caused the other — recognise the difference between correlation and causation before drawing conclusions

Mastery Evidence

  • developmental changes in children's recognition of evidence relevance to causal explanations
  • causal learning research

Assessment Prompt

“If [child] noticed that children who eat breakfast tend to do better at school, would they understand that breakfast might not be the cause — there could be another reason both things are true?”

Prerequisites2

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  • Describing Rules & Patterns soft

    Evaluating whether a pattern is truly causal requires the universal generalisation habit — asking whether the rule you think you've spotted actually holds across cases

    • Spotting Patterns hard

      Generalising a rule requires first being able to spot the recurring pattern that the rule captures

      • Connecting New & Old Ideas soft

        Spotting patterns across domains is an extension of the habit of connecting new ideas to existing ones

        • Thinking Before Starting hard

          Making connections between new and old ideas requires the habit of activating prior knowledge first

          • Persisting When It's Hard hard

            Activating prior knowledge requires the foundational habit of persistent engagement with new material

  • Could there be another explanation? hard

    Recognising that correlation is not causation requires the habit of generating alternative explanations — the correlation/causation distinction is a specific case of asking 'is there another explanation?'

    • Changing Your Mind with Evidence hard

      Actively seeking alternative explanations requires first having the habit of not defending your original interpretation against the evidence

      • Observation vs Interpretation hard

        Being willing to revise a hypothesis requires first distinguishing observation from interpretation — you can only update your interpretation if you recognise it as separate from the data

        • Feeling of not understanding soft

          Noticing the observation/interpretation distinction requires monitoring your own thinking — the universal comprehension-monitoring habit applied to scientific reasoning

          • Asking for Help hard

            Noticing confusion and acting on it requires already knowing that asking for help is a valid response to being stuck

      • Learning from Mistakes soft

        Changing your mind when evidence contradicts your prediction is the science form of the universal error-analysis habit — treating surprises as information rather than failures

        • Checking Your Own Work soft

          Investigating why something was wrong grows from the earlier habit of checking whether an answer seems right

        • Trying a New Approach hard

          Error analysis requires the habit of trying different approaches — you need to have tried something before you can analyse what went wrong

          • Feeling of not understanding hard

            Strategy switching is triggered by noticing the current approach isn't working — requires comprehension monitoring

            • Asking for Help hard

              Noticing confusion and acting on it requires already knowing that asking for help is a valid response to being stuck

          • Planning a Task hard

            Switching strategy requires first having made a plan — you can only switch away from something you chose deliberately

            • Checking Your Own Work hard

              Planning before a task grows from the habit of checking back after finishing — both are self-regulatory bookends

    • Understanding Why soft

      Asking 'is there another explanation?' is the scientific form of the universal elaborative-interrogation habit

      • Teaching It Back hard

        Asking 'why does this work?' requires first being able to explain what you know — interrogation builds on explanation

Unlocks2