Tootfinder

Platner never seemed to grasp that even for comfortably middle-class folks,
having dad buy you a home, no matter how modest, just isn’t an option.
There was a similar tone-deafness in discussions about his wife’s fertility treatments.
There’s no doubt that it was indeed cheaper for Platner and his wife to go to Norway for a couple of weeks and pay out of pocket for IVF there,
versus the catastrophic cost to do so in America.
But while Platner correctly framed…

A sentient collection of red flags
Graham Platner's campaign should never have gotten this far.

Friends,
To defeat Senator Susan Collins in 2026,
Maine Democrats would do well to nominate a candidate whose personal story presents a significant contrast to that of Senator Collins. -- The daughter of a well-connected and wealthy Aroostook County business family, who has accomplished little of substance beyond electoral success in her 28 years in office.
Someone like David Costello,
who was born in Bangor and raised in Old Town by his mother and mill working grandp…

Home | Costello For Senate

A Third Galaxy Missing #DarkMatter along a Trail of Galaxies in the NGC 1052 Field: https://iopscience.iop.org/article/10.3847/1538-4357/ae6b8d -> A Yale-led team of astronomers found a third galaxy devoid of dark matter — located alongside the other two in a formation that has never been seen before: https://news.yale.edu/2026/06/16/third-times-charm-row-faint-galaxies-without-dark-matter

From Rocky Horror to the Muppets, Tim Curry’s extraordinary career made him world-famous.
Then, a stroke left him paralysed.
In this 2025 interview the actor talks about his cocaine years, his friendship with David Bowie – and the moment his mother came at him with a knife
Tim Curry died in his home yesterday
at age 80

‘Risky is the best way to be’: Tim Curry on sexuality, surviving a stroke – and 50 years of stardom
From Rocky Horror to the Muppets, Curry’s extraordinary career made him world-famous. Then, a stroke left him paralysed. The actor talks about his cocaine years, his friendship with David Bowie – and the moment his mother came at him with a knife

Cosmology in the Einstein Telescope era: comparing traditional and simulation-based methods for population inference
Giovanni Antinozzi, Guillermo Franco Abell\'an, Davide Sciotti, Matteo Martinelli
https://arxiv.org/abs/2608.04005 https://arxiv.org/pdf/2608.04005 https://arxiv.org/html/2608.04005
arXiv:2608.04005v1 Announce Type: new
Abstract: The next generation of gravitational wave detectors, such as the Einstein Telescope (ET), will observe orders of magnitude more binary black hole mergers than current facilities. Most of these events will lack an electromagnetic counterpart, also known as dark siren events, yet will still enable percent-level cosmological constraints. However, the likelihood traditionally used in Hierarchical Bayesian Inference (HBI) for population-level analyses becomes computationally prohibitive as the size of dark siren catalogues and population parameters grow. In this work we compare HBI against simulation-based inference (SBI) as a scalable alternative for cosmological population inference in the ET era. Studying a proof-of-concept example of a mock ET inference, we build a catalogue of $O(10^4)$ binary black hole events, then perform inference on the Hubble constant $H_0$ and matter density $\Omega_m$ in a flat $\Lambda$CDM cosmology, using both a hierarchical analytical likelihood and Marginal Neural Ratio Estimation (MNRE). We find excellent agreement between the two approaches, with SBI reproducing the HBI posteriors to high accuracy, while requiring orders of magnitude less computation once the simulation and training cost is amortized. We further demonstrate that SBI extends straightforwardly to a joint cosmology-plus-astrophysics analysis, simultaneously constraining $(H_0,\Omega_m)$ together with the parameters of the star formation rate density, at negligible additional cost compared to the significant increase in complexity such an extension would require within the HBI framework. Our results indicate that SBI is a promising and scalable tool for population inference with third-generation GW detectors.
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