Tootfinder

“People are tired of hearing what government can’t do.
They want to hear what government can do,”
Lewis George said in an interview before the DC city’s primary,
where she defeated her Democratic opponents and positioned herself to win the general election in November in a city dominated by Democrats.
Lewis George’s victory signals a break with a quarter-century of centrist governance in Washington,
and it puts her in the vanguard of democratic socialists who h…

Democratic socialists are winning major mayor's races
Janeese Lewis George is making waves in Washington, D.C., with her progressive agenda as she aims for the mayor's office. Her plans include subsidized childcare and increased homebuyer assistance. She also promises to challenge President Donald Trump's influence. Her Democratic primary victory was a shift from centrist governance in the nation's capital and aligns with a broader trend of democratic socialists gaining traction in urban politics. While some cities still favor moderate candidates,…

Beyond headcount and human capital: The Effective Cognitive Population as a decomposable capacity unit for AI-era planning
Kwan Soo Shin
https://arxiv.org/abs/2608.09642 https://arxiv.org/pdf/2608.09642 https://arxiv.org/html/2608.09642
arXiv:2608.09642v1 Announce Type: new
Abstract: National planning counts population, human capital, and artificial-intelligence preparedness in separate ledgers. Demographic accounting has advanced from headcount to skills-adjusted stocks and still debates how much age structure retains once skills are modeled, yet no existing unit carries the conditions under which preparedness becomes productive capacity. This study introduces the Effective Cognitive Population (ECP), a decomposable unit that weights population by capability and by the conditions under which capability is deployed, anchored to the World Bank Human Capital Index Plus (HCI ) and the non-overlapping dimensions of the IMF AI Preparedness Index. The architecture is portable in principle; the case tested here is artificial intelligence, which has a published preparedness index. For 144 countries, HCI becomes a productivity level, AI opportunity uses digital infrastructure and innovation integration, conversion governance uses regulation and ethics, and the benchmark is ECP = N H(1 AC). Against 2024 total output on identical population bases, ECP raises criterion R-squared from 0.849 for the HCI -adjusted stock to 0.882 and lowers leave-one-country-out RMSE from 0.723 to 0.641, with the working-age comparison identical and bootstrap intervals excluding zero. Eighty-nine of 144 countries move at least ten rank positions from headcount, mostly through the human-capital adjustment itself. Results are stable across denominators, vintages, aggregation forms, and a 27-rule multiverse. The direct A by C interaction is not statistically supported, so the conjunction is a planning rule rather than causal complementarity. ECP is a diagnostic ledger whose scope excludes forecasts of population decline and estimates of AI's causal productivity effect.
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