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MANIFOLD
Did pharma's trade network reorganize more than agriculture's under COVID? (H3-P, 2017→2022)
2
Ṁ100Ṁ26
Sep 16
59%
chance

Pre-registered forecast from The Interstate Power Observatory (ResearchHub proposal #32374). Thresholds were locked before any cross-year number was computed, committed publicly with SHA-256 cd25810026b8053aad446aa0a6e3a3050642c1cf492d988dc02e3db185bc30e1 (repo: github.com/rsthornton/us-trade-centrality). Resolution is mechanical: computed by deterministic scripted code on public federal CFS data (2017 → 2022), against the registered criterion below. The creator will not bet in this market and resolves to the published verdict table.

Resolves YES iff Δ(pharmaceuticals, SCTG 21) > Δ(agriculture, SCTG 01–05), where Δ = 1 − cosine similarity of the commodity's 2017 vs 2022 edge-weight vectors.

Proposal: https://www.researchhub.com/proposal/32374/the-interstate-power-observatory-a-pre-registered-forecast-of-us-trade-network-centrality-20122022 Dashboard: tradeflows.halcyonic.systems

Closes earlier if the fundraise completes early — betting always closes before the analysis runs (with ~48h notice in comments).

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My registered forecast: YES — pharma's concentrated foreign sourcing and lean inventories made its distribution network more exposed than domestically-sourced agriculture. Creator, not betting; mechanical resolution. https://www.researchhub.com/proposal/32374/the-interstate-power-observatory-a-pre-registered-forecast-of-us-trade-network-centrality-20122022