Evaluate climate trends and counterfactual explanations
Compare synthetic observed/model packets and distinguish mitigation from adaptation.
Learning outcome: Compare synthetic observed/model packets and distinguish mitigation from adaptation.
Starting recap
Compare synthetic observed/model packets and distinguish mitigation from adaptation.
All lessons are open directly. Your saved experiments remain when you leave and return.
Try
Packet 1 observes 1°C over 30 years; natural-only 0.2 and combined 1.1 yield residuals 0.8 and−0.1.
Open the experimentPredict
Does closer model agreement alone prove every causal claim?
Experiment
Compare both modeled explanations within all three packets. Record residuals before discussing physical fingerprints, uncertainty and policy responses.
Compare observed and counterfactual trend packets
Worked teaching model · synthetic values · Original endpoint changes across equal 30-year windows: observed[0.8,1.0,1.2]°C; natural-only[0.1,0.2,0.0]; combined[0.7,1.1,1.0]. These are invented packets, not real climate observations or a statistical attribution calculation.
Reset keeps your prediction, captures and practice history.
| Quantity | Value | Unit |
|---|---|---|
| Supplied observed endpoint change | 1 | °C |
| Supplied model endpoint change | 1.1 | °C |
| Observed minus modeled change | -0.1 | °C |
| Observed average change per decade | 0.3333333 | °C/decade |
Counterfactual model comparisons help evaluate causes, not merely correlations.
Closer agreement in three invented packets is not a complete attribution test. Real attribution also examines uncertainty, internal variability, multiple fingerprints, model evaluation and physical mechanisms.
Predict, change one control, and save contrasting captures. Reconstruct the balance with units; then explain a process the ledger deliberately leaves out. Display precision is not measurement precision.
Counterfactual model comparisons help evaluate causes, not merely correlations.
Closer agreement in three invented packets is not a complete attribution test. Real attribution also examines uncertainty, internal variability, multiple fingerprints, model evaluation and physical mechanisms.
Captures preserve recipes and replay their calculated results. They are synthetic model evidence, not physical measurements.
Understand
Apply
Public practice checks a specific claim. It does not establish independent mastery.
Reconstruct a changed case, explain its causal mechanism and identify an omitted process or evidence that would challenge the inference.
Continue
Completion requires a saved prediction, at least one capture and a reflection. Presence checks do not grade your reasoning.
Skipping retains experiments and awards no mastery.
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