From where I was sitting Wednesday, it looked like
the attorney general pretty much dared the House Democrats to impeach her.
Here’s how the New York Daily News put it, summarizing the AP’s coverage of her testimony before the House Judiciary Committee:
"Attorney General Pam Bondi launched into a passionate defense of President Donald Trump Wednesday
as she tried to turn the page from relentless criticism of the Justice Department’s handling of the Jeffrey Epste…
Daily Mail front page is blaming "Red Ed's Green Idiocy" for the loss of a potential AI data centre beloved by their pensioner readership.
A large amount of future development plans, generally but especially in AI, is illusory. A speculative hedge. There are plenty of practical and economic reasons to believe that Stargate UK wouldn't go ahead, and "regulations" is the most face-saving public explaination.
But I'm not convinced that shouting about …
Donald Trump remains concerned about the Epstein files for multiple reasons:
millions more pages have yet to come out, and the names in those that have are “sacrificial lambs,” Daily Beast columnist David Rothkopf says.
Rothkopf, a foreign policy analyst, told The Daily Beast Podcast that the multi-million-page dump of files last week is evidence that the Department of Justice thinks something is afoot.
He added that Trump is thinking about the potential for crimes to sti…
Chartbeat: over two years, search traffic fell by 60% for small publishers with 1K-10K daily page views, 47% for medium-sized publishers, and 22% for large ones (Sara Fischer/Axios)
https://www.axios.com/2026/03/17/chartbeat-search-traffic-ai-chatbots
How did the Urban Network Flow Adapt to the Collapse of the Carola Bridge?
Jyotirmaya Ijaradar, Ning Xie, Lei Wei, Sebastian Pape, Matthias K\"orner, Meng Wang
https://arxiv.org/abs/2603.19947 https://arxiv.org/pdf/2603.19947 https://arxiv.org/html/2603.19947
arXiv:2603.19947v1 Announce Type: new
Abstract: The unexpected collapse of the Carola Bridge in Dresden, Germany, provides a rare opportunity to characterise how urban network traffic adapts to an unexpected infrastructure disruption. This study develops a data-driven analytical framework using traffic data from the Dresden traffic management system to assess the short-term impacts of the disruption. By combining statistical comparisons of pre- and post-collapse motorised traffic distributions, peak-hour shifts, and Park-and-Ride data analyses, the framework reveals how traffic dynamics and traveller choices adjust under infrastructure disruption. Results reveal that the two closest bridges, the Albert and Marien Bridges, absorb the majority of the diverted motorised traffic. In particular, the daily traffic volume on the Albert bridge increases by up to 81%, which is equivalent to 3.5 hours of traffic operating with maximum flow. Peak hours on critical links are significantly prolonged, reaching up to 250 minutes. Besides redistribution, the overall daily motorised traffic crossing the Elbe river declines by approximately 8,000 vehicles, while Park-and-Ride usage increases by up to 188%, suggesting a potential travel mode shift after the disruption. The study reveals the patterns of traffic redistribution following an unexpected disruption and provides insights for resilience planning and emergency traffic management.
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