Design an intervention that distinguishes competing mechanisms
Two mechanisms can reproduce the same baseline observation. Matching one endpoint therefore does not uniquely identify the process that generated it. A useful investigation seeks conditions under which the candidate explanations predict different outcomes, while preserving controls that keep the comparison interpretable.
Learning outcome: Compare all three packets under both candidates. Retain residuals, propose a third mechanism and specify a new intervention whose predicted outcomes would distinguish it before seeing data.
Starting recap
Define the system, measured quantity, comparison and scale before interpreting a result. Use algebraic balances and supplied models; no prior calculus or fieldwork is assumed.
All lessons are open directly. Your saved experiments remain when you leave and return.
Try
At nutrient reduction, observed 6 matches the nutrient candidate 6; the light candidate 10 has residual−4 and squared residual 16. Under shade, observed 9 gives residual−1 for nutrient prediction 10 and+3 for light prediction 6. Baseline agreement alone would not distinguish them.
Open the experimentPredict
Which supplied intervention creates different predictions from candidates that agree at baseline?
Experiment
Compare all three packets under both candidates. Retain residuals, propose a third mechanism and specify a new intervention whose predicted outcomes would distinguish it before seeing data.
Discriminate mechanisms with a targeted intervention
Worked teaching model · synthetic values · Synthetic biomass response baseline 10, nutrient-reduction 6, shade 9. Candidate predictions nutrient model[10, 6, 10], light model[10, 10, 6]. Other conditions assigned constant; residual observed−prediction. No fitted probabilities, uncertainty distribution or causal proof from three points.
Reset keeps your prediction, captures and practice history.
| Quantity | Value | Unit |
|---|---|---|
| Supplied observed response | 6 | biomass units |
| Candidate predicted response | 6 | biomass units |
| Residual | 0 | biomass units |
| Squared residual | 0 | biomass units² |
Mechanisms agreeing at baseline can disagree under targeted perturbation.
A smaller residual in a stipulated packet does not establish a unique cause. Specify manipulation controls, replication, alternate mechanisms and uncertainty before a real causal assessment.
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.
Mechanisms agreeing at baseline can disagree under targeted perturbation.
A smaller residual in a stipulated packet does not establish a unique cause. Specify manipulation controls, replication, alternate mechanisms and uncertainty before a real causal assessment.
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.
A new independent packet has observed 7 and candidate predictions 8 and 5. Calculate residuals and squared residuals; state what is still missing before causal selection.
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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