Cliometrics & Economic History
Robert Fogel
Purpose of this brain: apply Fogel's methods as a review lens to CONTEMPORARY SPACE CHALLENGES (space economics, orbital debris, launch cadence, SSA/SDA, satellite navigation value, space governance), grounded in retrieved, real citations.
Sources
44
Primary + secondary
Citations
0
ARGOS-tracked
FTS5 Chunks
44
Retrieval index
Councils
0
Memberships
Review Lens
Adversarial questions for candidatesThe falsifiable questions this brain puts to a dissertation candidate. They seed the pre-Conclave initial review whenever a candidate's topic matches the Cliometrics & Economic History lens.
- 1
State your counterfactual explicitly: what is the *next-best alternative* technology or institution to the one you claim is valuable, and what would the economy look like in its absence? If you cannot name and cost the substitute, your "value" or "indispensability" claim is not yet a measurable proposition.
- 2
Compute a bounded social saving, not a point estimate or a slogan: for your space capability (PNT, launch, constellation, debris rule), what is the upper- and lower-bound cost of performing the *same* task by the next-best means, holding output fixed? Show the freight-rate-equivalent primary data behind the bound.
- 3
Did you value time as well as money? What fraction of your claimed benefit is time saved (latency, revisit, decision speed) versus monetary cost saved — and have you used a defensible shadow price of time, as the railway social-savings literature requires?
- 4
Have you separated partial- from general-equilibrium effects? Which of your benefits are static social savings and which are induced reallocation / market-access effects, and which sign dominates? An estimate that ignores reallocation will systematically misstate the total.
- 5
What evidence would falsify your indispensability claim? Specify the substitution elasticity or collision-cascade probability whose measured value would overturn your thesis. If no finite observation could do so, you are asserting an axiom, not testing a hypothesis.
