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Gambling app*

Crosscurrents's avatar

Call centers were the job everyone predicted AI would hit first, so it is striking that employment growth only turned negative in the poorest markets around late 2025. That lag says a lot about how slowly real firms swap out working systems, even when the tool is good enough. The China exception is interesting too. It would be worth knowing whether that reflects state-backed employment or just a different mix of service work there. On the prediction markets section, a near-zero partisan coefficient is reassuring for anyone worried that these platforms simply mirror the politics of their traders. With Kalshi and others pulling serious volume ahead of the midterms, November could be a useful stress test of that finding.

Nan Deng's avatar

The 'no coefficient clears its standard error' result is the honest way to present this, though absence of detected bias and absence of bias are different claims when the sample is thin — the non-US slice is exactly where both the effect and the uncertainty live. I'd want to see the power calculation for the smaller strata: if the study couldn't have detected a bias of the size people actually worry about, the null result is mostly a statement about sample size. The ~3 week lead on the Brazil ETF is the more interesting test, since that's a market reacting to information rather than a market being audited for it.

Trigg Ledger Publisher's avatar

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Trigg Ledger Publisher's avatar

Prediction markets are fundamentally mispricing structural geopolitics.

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https://triggledger.substack.com/p/4-week-roi-audit-the-architecture?utm_source=share&utm_medium=android&r=8gc1qf