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NHS puberty blocker trial should not go ahead

Puberty blockers are the cure that creates the illness. Credit: Getty

Puberty blockers are the cure that creates the illness. Credit: Getty

1 March 2025 - 4:00pm

The NHS has this week announced its £10.7 million clinical trial into care for gender-distressed children, following the recommendations of the Cass Review last year. Including the prescription of puberty-blocking drugs — currently banned in the UK — the trial has been christened Pathways. As if there are multiple ways of becoming an adult in a sexed body, as opposed to just one.

Dr Hilary Cass herself has welcomed the news, but there are many who had hoped it would never take place. In another world, the Cass Review would have offered a route — tentative at first — to undoing what is a medical scandal of epic proportions. For the past decade, more and more children have been subjected to damaging treatments based on the lie that one can be born in the wrong body. The pertinent question should be “How did this happen?”, not “How damaging is it, really? And if we’re careful and ask the right questions, can we still make it look okay?”

Perhaps we should not be surprised that things have progressed in this way. When it comes to “gender-affirming care”, it is hard to acknowledge that so many people have been complicit in doing so much harm. It is natural that many will want to keep insisting that this is an incredibly complex area where more data is needed. After all, “Let’s do more research” feels, on the face of it, much more reasonable than “This has always been a terrible idea and anyone could have seen this from the outset.” But the latter position is the correct one.

There is already plenty of evidence that puberty blockers have a negative impact on bone density and brain development, and that almost all of those who are prescribed them end up taking cross-sex hormones. Even if that were not the case, seeking to press pause on an essential life stage is intrinsically damaging in social and emotional terms. Blockers do not create a neutral space for learning the truth about one’s “real” self, free from the onslaught of adolescent hormones and the stress of a changing body. As the detransitioner Keira Bell told the Beyond Gender podcast this week: “the trope that [blockers] buy you more time is a complete lie, because your body’s in shutdown”.

The limited scope of the Pathways trial, not least its proposal to monitor participants for just two years, creates the uncomfortable impression that the aim is not to find better data. Instead, it is to find a way of justifying what is already, self-evidently, wrong. Regular brain scans may or may not show damage within the two-year window, but as the psychotherapist and Tavistock whistleblower Marcus Evans has tweeted, “the consequences won’t be evident in two years, when individuals may still be caught in the euphoria of having seemingly triumphed over their biological development. The real reckoning will come in twenty years, after prolonged use of puberty blockers, cross-sex hormones, and surgical interventions”.

Puberty blockers are the cure that creates the illness. The very existence of the Pathways trial implies that halting puberty, rather than supporting a distressed child through it, is not in and of itself a form of abuse. It implies that, unless there are specific negative effects unrelated to the glaring one of pausing a child’s development, the treatment is justified. It is like deciding cutting is not harmful if septicaemia can be avoided, or rubber-stamping bulimia as a coping mechanism providing the cost to tooth enamel is lower than assumed.

It is missing the bigger picture. No one knows, two, three, four years after going through puberty, whether it was “worth it”. This is not a meaningful question. You grow and change, even when it hurts, because that’s what being human is. No £10.7 million trial is going to prove otherwise. Simply, it should not be taking place.


Victoria Smith is a writer and creator of the Glosswitch newsletter.

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China is threatening America in the AI race

Reports sugget Zhipu AI  has released a new model that can rival leading US systems. Credit: Getty

Reports sugget Zhipu AI has released a new model that can rival leading US systems. Credit: Getty

1 July 2026 - 10:18am

China is trying to catch up with America on artificial intelligence. The Wall Street Journal has reported that Zhipu AI — one of China’s six “AI tiger” LLMs — has released a new model that can rival leading US systems, including Anthropic’s Mythos, in cybersecurity tasks such as pinpointing security bugs. While this marks a milestone in China’s drive to catch up with Western AI capabilities, strong performance on a single benchmark does not mean it has taken the lead. Chinese models still lag behind their Western counterparts in broader capabilities, such as autonomous operation. Skepticism is therefore warranted before resorting to hysterical conclusions, but complacency about the geopolitical implications of China’s AI advances would be an even greater mistake.

On the infrastructure side, Chinese AI is still constrained by access to advanced chips, with American labs way ahead in computing capacity as well as investment. Analysis from earlier this year suggests that Chinese models are likely to be at least a few months behind those in the US. But they are still continuing to make progress, or that the geopolitical importance of AI will be decided only by whose LLM has ventured deeper into the technological frontier. The practical applications of AI, countries’ to capture foreign markets, and the application of AI into the real economy will matter just as much.

Here, China may hold an advantage. As with its dominance across many critical supply chains, Beijing may not need to produce the most advanced AI systems — only those that are affordable and widely deployable. In doing so, it could consolidate global influence by supplying functional, low-cost AI at scale.

Beijing seems to be pursuing exactly that path, developing an AI “open-source” strategy that offers affordable, widely available AI models for companies and individuals to use and modify as they wish. The production of the DeepSeek AI model, which matched the performance of Silicon Valley tools such as ChatGPT at a fraction of the cost for users, created goodwill among Chinese models with developers.

The four most popular models on OpenRouter, an AI hardware platform for developers, are now all Chinese. The goal for China is not only to win the frontier-model race, but to make its systems the default layer of AI adoption across industries and global markets. For most economies, the choice is increasingly between an affordable tool they can deploy now and a more robust one that may be out of reach.

And while the countries adopting Chinese models may be exposed to political pressure and cyber threats from Beijing, safer and more capable alternatives matter little if they are unaffordable. American AI companies are already under pressure to monetize products whose operating costs are rising. If Chinese open-source models become the cheap default for startups, universities, governments and businesses across the developing world, then America’s AI lead will be eroded from below.

Perhaps more concerning for America in the long run is how AI can give Chinese manufacturing even more strength, through the ongoing integration of AI as a general-purpose technology. China’s new Five-Year Plan mentioned AI more than 50 times and includes an “AI+” action plan aimed at spreading AI across the economy.

Beijing has been pioneering automation of its critical infrastructure for years, with promising recent results in increasing warplane production capacity. In that regard, China’s open-model strategy and manufacturing dominance will reinforce each other. Cheap, adaptable models accelerate deployment across the real economy while those deployments generate real-world data and use cases that can feed back into further model improvement.

The United States should not dismiss the importance of its lead in the AI race. That lead worries Beijing, not least because a more automated Chinese economy would also become more vulnerable to AI-generated cyber threats. But nor should Washington assume that China cannot catch up with American capabilities over time.

This AI competition represents part of a broader struggle over tech supply chains and geopolitical influence. Decisions over whether to adopt US or Chinese models could produce a more fragmented global reality, with different regions relying on different cloud providers, chips and security structures. The result will likely be a global economy which is divided into competing spheres, rather than one which produces a single winner.


Miquel Vila is a political and geopolitical risk consultant focusing on industrial strategy, critical infrastructure and global supply chains.

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