Minnesota resident Nicole Cleland had her Global Entry and TSA Precheck privileges revoked
three days after an incident in which she observed activity by immigration agents, the woman said in a court declaration.
An agent told Cleland that he used facial recognition technology to identify her, she wrote in a declaration filed in US District Court for the District of Minnesota.
Cleland, a 56-year-old resident of Richfield and a director at Target Corporation,
voluntee…
Apparently Timothy Doyle, a well known Marvel artist has been making some Anti-ICE art using The Punisher, Wolverine and Ghost Rider.
(h/t to https://bsky.app/profile/roterote.bsky.social)
Robust forecast aggregation via additional queries
Rafael Frongillo, Mary Monroe, Eric Neyman, Bo Waggoner
https://arxiv.org/abs/2512.05271 https://arxiv.org/pdf/2512.05271 https://arxiv.org/html/2512.05271
arXiv:2512.05271v1 Announce Type: new
Abstract: We study the problem of robust forecast aggregation: combining expert forecasts with provable accuracy guarantees compared to the best possible aggregation of the underlying information. Prior work shows strong impossibility results, e.g. that even under natural assumptions, no aggregation of the experts' individual forecasts can outperform simply following a random expert (Neyman and Roughgarden, 2022).
In this paper, we introduce a more general framework that allows the principal to elicit richer information from experts through structured queries. Our framework ensures that experts will truthfully report their underlying beliefs, and also enables us to define notions of complexity over the difficulty of asking these queries. Under a general model of independent but overlapping expert signals, we show that optimal aggregation is achievable in the worst case with each complexity measure bounded above by the number of agents $n$. We further establish tight tradeoffs between accuracy and query complexity: aggregation error decreases linearly with the number of queries, and vanishes when the "order of reasoning" and number of agents relevant to a query is $\omega(\sqrt{n})$. These results demonstrate that modest extensions to the space of expert queries dramatically strengthen the power of robust forecast aggregation. We therefore expect that our new query framework will open up a fruitful line of research in this area.
toXiv_bot_toot
"producing the feeling of knowing without the labor of judgement"
https://arxiv.org/abs/2512.19466
oh what a great line
Trump's government committed 340 million felonies. Will he & Elmo be held accountable?
Watch below.
Original post: https://bsky.app/profile/did:plc:v57dxvrmaxyprrwdixuva7ux/post/3mdg4eh5ezc2g
Trump is threatening to use the Insurrection Act to deploy military to Minnesota.
To learn more about the act and its limits, check out this explainer from @brennancenter.org
https://bsky.app/profile/startribune.com/post/3mchqk5bcie2z
I know everyone’s already dragging the living shit out of this already but 🤷🏻♀️:
All ICE/BP should have:
Clearly marked vehicles
Clearly marked names on uniforms (large TEXT for both)
ID/badges
Dismissal and/or prosecution for failing to comply.
QR codes are just unneeded “tech” complication
The current regime talks a lot of shit about ID being required to vote, but is fine with armed agents of the govt having less ID than a teen trying (and failing) to…