Proposition 65 was a voter referendum that stated if a chemical was correlated to cancer, it needed to have a cancer warning label. Lawyers who were behind the public relations effort to get it passed assured consumers it would not be abused. Yet a few years later, epidemiologists inside the once-credible International Agency for Research on Cancer in France set out to gain "expert witness" contracts from lawyers and began to create more and more "correlations" - no science needed, just a possible link in mice - and now over 80,000 products carry these labels.

Not only will you find warning labels on nearly every product inside a Walmart, a warning label is on the outside, to warn you that the brick and glass has been "linked to" cancer.
The  Kilometre Cubic Neutrino Telescope (KM3NeT) collaboration has reported detection of  a neutrino with an estimated energy of about 220 PeV (220 million billion electron volts) by its ARCA detector.

The event, KM3-230213A, is the first evidence that neutrinos of such high energies are produced in the Universe and the most energetic neutrino ever observed. 

       This column deals with political opposition, resistance, and the future of the nation. It dissects the Trump-Musk financial bromance and the role of VP Vance. Bear with me to its end, then please comment pro, con, or in between.

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Ignore epidemiology claims that chocolate is healthy. It is not, claiming it is requires the same suspect correlation that "suggests" weedkillers causes human cancer and acupuncture prevents COVID-19. No science involved. Mars, Incorporated was funding the Chair in Nutrition at UC Davis when a lot of those claims came out and while it's not the case that academics are creating results-for-hire any more than industry scientists are, it is the case that government and companies only fund people whose work they like.
Pattern recognition is an altisonant name to a rather common, if complex, activity we perform countless times in our daily lives. Our brain is capable of interpreting successions of sounds, written symbols, or images almost infallibly - so much so that people like me, who have sometimes trouble to recognize a face that should be familiar, get their own disfunctionality term - in this case, prosopagnosia.
So many people want to move to the United States of America because virtually anyone who arrives legally can start a business with little problem and get rich.

A lot of people born in the US would rather be born in a place where they can never get rich but more things are free for the poor. They're not wrong, normal human psychological variation means most people would rather not compete if given a choice. That is seen all across the animal kingdom.

The Zagros Mountains are nestled in Iran, northern Iraq, and southeastern Turkey, and are the scene of an unfolding geological story deep beneath it.

A new analysis claims that crown volume of stream-side shrubs is a key metric for evaluating trophic cascade strength and they attribute the 1,500% increase in a small number of sites to increased numbers of wolves.

The data they used were collected from 20 streams during the years 2001 to 2020 and they note the aboveground biomass increase is due to a lot fewer elk, which was caused by a lot more wolves. "Balance of nature" wins.
Hims Inc., rebranded as Hims  &  Hers Health, Inc. after they went public in 2020, began as a telehealth company for erectile dysfunction and hair loss products.

No real issue there, the products are well-established and a phone call or website consultation is more convenient and far faster than visiting a doctor's office in the modern Obamacare milieu. It's entering the compounded glucagon-like peptide 1 agonists (GLP-1) injections market that got them new scrutiny.
As artificial intelligence tools continue to evolve and improve their performance on more and more general tasks, scientists struggle to make the best use of them. 
The problem is not incompetence - in fact, at least in my field of study (high-energy physics) most of us have grown rather well educated on the use and development of tailored machine learning algorithms. The problem is rather that our problems are enormously complex. Long gone are the years when we started to apply with success deep neural networks to classification and regression problems of data analysis: those were easy tasks. The bar now is set much higher - optimize the design of instruments we use for our scientific research.