Tootfinder

"Geschätzte Fahrgäste, die Störung am Zug lässt sich leider nicht beheben. Dieser Zug fällt ab Dachsen aus, wendet hier und fährt zurück nach Schaffhausen. Für die Weiterfahrt nehmen Sie die S12 05:54".
Ehm, die fährt in 3 Minuten auf diesem Gleis wo du stehst, und du musst 200 Meter rennen um den Führerstand zu wechseln.
I don't think so...
#SBBCFFFFS

Amid US public media funding cuts, a look at how the model of private donations can lead to an audience that's older, whiter, and richer than average Americans (Sarah Scire/Nieman Lab)
https://www.niemanlab.org/2025/11/funding-c…

Funding cuts may make public radio more reliant on old, rich, white donors
After years of interviews, research, and writing, Laura Garbes submitted the final draft of her book on public radio in December 2024. By the time Listeners Like Who? Exclusion and Resistance in the Public Radio Industry published last month, a lot had changed. Following Trump’s election and fede…

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

The Trump administration is not attacking the "excesses" of "woke" scholarship. They're at war with the very idea of power analysis, with the feeling of deep empathy with the oppressed, with ethical commitment to make a just world.

Meta’s 2020 research project, Project Mercury,
measured the effect of ‘deactivating’ Facebook & Instagram
According to Meta docs obtained via discovery…
’people who stopped using Facebook for a week reported lower feelings of depression, anxiety, loneliness & social comparison’
https://

Maoyan: China's box office reached $7.41B in 2025, up 20% YoY after a 23% drop in 2024, driven by animated films and IP franchises like Ne Zha 2 and Zootopia 2 (Naman Ramachandran/Variety)
https://variety.com/2026/film/box-offic…

'Ne Zha 2,' 'Zootopia 2' Lead 2025 China Box Office Past $7.4 Billion
China's theatrical market staged a robust recovery in 2025, with total box office reaching $7.41 billion and admissions climbing to 1.24 billion.

Today's alarm in the Radisson Blu Hotel will just be a DRILL!
Der heutige Alarm im Radisson Blu Hotel ist nur eine ÜBUNG!
#radissonbluhotel #39c3