Cosmology · Origins, primordial tests and the limits of knowledge
Turning open questions into reproducible research
Build and reproduce a complete finite hypothesis test, including raw responses, correlated errors, a declared decision rule and a calibration alternative.
Preparation: ratios, powers of ten and ordinary arithmetic. Physical quantities and notation are introduced as they are needed.
Back to the chapterAfter reading, you can
- Turn a proposed distinction into a specified response and decision rule.
- Calculate exact false-positive probability and power from a complete finite law.
- Preserve the information needed to reproduce a result and test alternative causes.
Define what an observation could distinguish
An open cosmological question becomes a research problem when competing assumptions lead to specified observable differences. The useful chain runs from physical model to predicted signal, measurement response, uncertainty and a reproducible comparison.
Record the chosen quantities, units, selection, calibration and analysis rule before interpreting the result. State which information fits parameters and which information provides an independent test.
A reproducible calculation can be correct while its physical assumptions remain incomplete. Checks of implementation, uncertainty and alternative explanations therefore answer different questions.
The original finite experiment below supplies the whole sampling law, making every decision probability exactly reproducible. It is a teaching protocol, not an actual preregistered observing program or a test of a named cosmic-origin theory.
Retain raw responses and shared uncertainty
Choose arbitrary positive unit U and an unknown fixed common quantity a. Independently draw c = ±U/4, e_A = ±U/2 and e_B = ±U/2, each sign with probability 1/2. The eight ordered sign triples are equiprobable.
Under null response M₀, supply A = a+c+e_A and B = a+c+e_B. Under declared alternative M₁, add a fixed offset +U to B while leaving A and the random-error law unchanged.
Use statistic D = B−A. The fixed common a and same-sign random calibration c cancel exactly, giving D = e_B−e_A under M₀ and D = U+e_B−e_A under M₁.
The raw channels remain correlated: Var(A) = Var(B) = 5U²/16 and Cov(A,B) = U²/16 under either response. Their difference variance is U²/2; the variance of their average is 3U²/16.
A declared test has size and power under stated laws
Predeclare the one-sided decision rule D≥U. Under M₀, D/U takes −1,0,1 with probabilities 1/4,1/2,1/4, so the false-positive probability, or size of this test, is 1/4.
Under M₁, D/U instead takes 0,1,2 with the same respective probabilities. Its probability of meeting the rule, or power against this declared alternative, is 3/4.
A separately specified design D≥2U has size zero and power 1/4 under these exact finite laws. This stricter rule trades lower false-positive probability for lower power in the supplied experiment.
Zero size here depends on the stipulated bounded support. It is not a guarantee about real instrument errors, nor a universal threshold for discovery or a probability that a physical hypothesis is true.
| D/U | P under M₀ | P under M₁ | Meets D≥U? | Meets D≥2U? |
|---|---|---|---|---|
| −1 | 1/4 | 0 | No | No |
| 0 | 1/2 | 1/4 | No | No |
| 1 | 1/4 | 1/2 | Yes | No |
| 2 | 0 | 1/4 | Yes | Yes |
A passing outcome can have another cause
Take a known synthetic M₀ realization with a = 3U, c = +U/4, e_A = −U/2 and e_B = +U/2. It produces A = 11U/4, B = 15U/4 and D = U.
The realization meets the first decision rule despite being generated under M₀. It demonstrates a false positive permitted by the exact size 1/4, not a contradiction of the sampling calculation.
Now separately consider an unmodeled fixed calibration offset +U in channel B under the null physical response. It shifts the complete D law to exactly the law assigned to M₁.
The difference statistic alone therefore cannot identify whether the offset comes from the declared alternative or calibration. A useful follow-up needs independently characterized controls or additional linked physical predictions.
| Rule | Size P(rule|M₀) | Power P(rule|M₁) |
|---|---|---|
| D≥U | 1/4 | 3/4 |
| D≥2U | 0 | 1/4 |
Make the result independently reconstructible
Preserve the raw response values and units, exact sampling law, shared-error assumptions, statistic, threshold and the parameters or calibration choices used to obtain the reported result. Keep a clear record of any later revision.
Another researcher should be able to enumerate the same eight states, recover the covariance, recompute size and power, and reproduce the synthetic example without guessing hidden choices. For larger experiments, validated numerical methods replace complete enumeration.
Sensitivity tests should change a stated assumption and report the resulting change in inference. If a check is used to revise the model, record that change and obtain a new independent test rather than treating the reused information as held out.
For an origin proposal, carry this discipline back through the full predictive chain: dynamics, primordial signal, transfer, foregrounds and observations. A well-posed reproducible question advances understanding even when the evidence cannot yet select a unique explanation.
Worked reasoning
Count the decisions in the complete finite experiment
What are the size and power of the rule D≥U?
- For M₀, only e_A = −U/2,e_B = +U/2 gives D = U; either sign of c is allowed, so 2 of 8 states meet the rule.
- For M₁, all states with e_B−e_A≥0 meet the rule; this is 6 of the 8 states.
- Divide by the common number of equiprobable states: size = 2/8 and power = 6/8.
The exact size is 1/4 and the power against the specified M₁ is 3/4.
Try the reasoning
Why does c not contribute to D in this experiment?
Show the answer and reasoning
It enters both channels with the same coefficient and cancels in B−A.
That cancellation follows from the supplied response; it would change if the channel responses to c differed.
If D≥2U is specified before the experiment, what are its size and power?
Show the answer and reasoning
Size 0 and power 1/4 under the exact stated finite laws.
M₀ never produces D = 2U, while M₁ does so in 2 of 8 states.
Does meeting D≥U distinguish M₁ from a fixed +U calibration offset in B?
Show the answer and reasoning
No.
Those two supplied causes give the same complete D distribution; another independent response is needed.
What to carry forward
- A research test needs a defined predictive and measurement chain.
- Reproduce decisions from the actual sampling law and keep their interpretation conditional.
- Independent controls, preserved revisions and linked predictions help distinguish physical causes.
References
Sources supporting the explanations, physical distinctions and examples in this lesson.