# Learner lab record: Blinded propulsion round-robin adjudication

Course: Precision propulsion metrology

Name: ____________________  Date: ____________________  Group: ____________________

## Investigation question

Can multiple laboratories recover calibrated injections, reject shams, and agree within declared heterogeneity before interpreting an unknown force residual?

## Setup

Use the propulsion round-robin workspace. Freeze each laboratory's calibration and uncertainty model, test hidden injections and shams, then combine only qualified laboratory results with a declared heterogeneity rule.

## Variables

| Variable | Role | Unit |
| --- | --- | --- |
| Injection and sham states | blinded validation inputs | hidden category/force |
| Laboratory calibration and uncertainty | measurement inputs | N and N |
| Recovered residuals | dependent | N |
| Heterogeneity and qualification | adjudication diagnostics | χ²/dof and pass/hold |

## Predict before changing controls

1. Declare injection-recovery and sham-rejection thresholds before unblinding.

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2. Predict the adjudication if one laboratory is a high-significance outlier.

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## Observation table

| lab | blind state | calibration | residual | uncertainty | injection recovered? | sham rejected? | qualified? |
| --- | --- | --- | --- | --- | --- | --- | --- |
|   |   |   |   |   |   |   |   |
|   |   |   |   |   |   |   |   |
|   |   |   |   |   |   |   |   |
|   |   |   |   |   |   |   |   |
|   |   |   |   |   |   |   |   |
|   |   |   |   |   |   |   |   |

## Analyze

1. Does every lab recover the same traceable injection?

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2. Which artifact model explains any orientation or timing dependence?

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3. Is cross-lab heterogeneity acceptable?

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4. Why is calibration validation distinct from a propulsion-effect meta-analysis?

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## Evidence-bounded conclusion

Of ___ laboratories, ___ qualified; χ²/dof was ___, injection recovery ___, and sham rejection ___, so unknown-effect adjudication is ___.

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