If you’re in the 1% or middle class, inflation has actually made you richer, according to a top economist who’s been researching inequality for over 40 years | Muslim members of Congress face spikes in death threats | Simon Sinek: ‘The skill of having an uncomfortable conversation is essential’—this hack can make it easier | How to make Britain’s health service AI-ready

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� � � � � � You Might Like � � � � � � � � � If you're in the 1% or middle class, inflation has actually made you richer, according to a top economist who's been researching inequality for over 40 years - Fortune    Throughout his career, famed economist Milton Friedman described inflation as a “hidden tax.” When prices rise consistently, he warned, they cut into consumers’ purchasing power, forcing them to earn more money (and pay more in taxes) to maintain the same lifestyle. On top of that, nominal wage and revenue increases during periods of high inflation can end up pushing an unlucky group of consumers and businesses into higher tax brackets even as their purchasing power falls—an effect called “bracket creep.” “Inflation is a form of taxation without representation. It is the kind of tax that can be imposed without being legislated by the authorities and without having to employ additional tax collectors,” Friedman famously wrote in a 1974 article that called for the indexing of tax brackets in order to prevent “bracket creep.”  This so-called income-tax feature of inflation has made it incredibly unpopular among the public. As Tom Barkin, president of the Federal Reserve Bank of Richmond, explained in a recent interview with CNN:“The one thing that I hear loud and clear from everybody is that they hate inflation. They find inflation to be unfair. You get a raise, and then you have to spend that raise at the gas station,” he said. “It’s frankly exhausting.” Continued here Muslim members of Congress face spikes in death threats - NBC News    Morning Rundown: Temporary House speaker threatens to quit, missing man's remains found on suspected serial killer’s farm, and a warning about household items A man arrested in the killing of a Baltimore tech entrepreneur was suspected of raping a woman days before and was already under surveillance, police say Michael Gambon, the actor best known for playing Dumbledore in the 'Harry Potter' films, dies at 82 Continued here Don't like ads? Go ad-free with TradeBriefs Premium Simon Sinek: 'The skill of having an uncomfortable conversation is essential'—this hack can make it easier - CNBC    Uncomfortable conversations are inevitable — and that's why learning to navigate them is necessary for building healthy relationships and a successful career. Maybe you need to offer a friend or colleague some constructive criticism, or you've been called into a meeting with your boss to discuss a work project that went south. These conversations may be nerve-wracking, but learning to confront them head-on — and with the right amount of tact — can help turn an uncomfortable situation into a positive. "As human beings, we actually have to work very hard to be human, and one of those human skills that we need to practice is how to have uncomfortable conversations," Sinek said in the video. "Being uncomfortable is part of being human." Continued here How to make Britain's health service AI-ready - The Economist    AT THE HEART of Britain’s publicly funded health-care system lies a contradiction. The National Health Service generates and holds vast swathes of data on Britons’ health, organised using NHS numbers assigned to every person in its care. The system enables world-leading studies, like the RECOVERY trial during the pandemic, which discovered treatments for covid-19. You might suppose it to be a treasure trove for artificial-intelligence (AI) developers eager to bring their models to bear on improving human health. Yet if you put this to a developer they will roll their eyes and tell you why all is not as rosy as it seems. That is because the kinds of tabular data that inform clinical trials—who took which drug, what the outcome was—are not the same as those most useful for training machine-learning models, such as scans or genomes, which hold more information about a patient. Much of this sort of NHS data is a mess, organised in ways which serve doctors treating patients, but not AI developers hoping to feed it to computers. Making it suitable for those models is a task with which the NHS has not yet come to grips. It is often easier for those seeking to organise these richer data to start from scratch, as with a vast data-collection exercise now under way. To open up the NHS’s data riches to AI, its managers and political masters should turn to three principles: cleanliness, comparability and consent. Cleanliness starts with hosting rich data in cloud-computing environments where the data are easier for AI developers to wrangle. Hospitals and clinics also need greater incentives to prepare their datasets for machines. Most of the NHS’s successful AI projects so far have relied on the drive of dedicated, intellectually curious doctors who have had to fight the system rather than be helped by it. Forging stronger links between the NHS and universities—and giving PhD students easier access to datasets—is another good idea. Continued here

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