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Rupert Lowe’s rape gangs report is a missed opportunity

Lowe’s inquiry relies on faulty estimates. Credit: Getty

Lowe’s inquiry relies on faulty estimates. Credit: Getty

June 17 2026 - 5:11pm

Rupert Lowe’s “Rape Gang Inquiry Report”, published yesterday, has brought the issue of organized child sexual abuse back to the forefront of Britons’ minds. This is especially pertinent given the slow progress of the ongoing Government inquiry, which Baroness Casey criticized yesterday on the anniversary of the publication of her National Audit into grooming gangs. It’s well established now by official reports that even with inadequate data, there’s a clear perpetrator and victim profile: Pakistani men and underage white British girls. Also apparent is the complicity of institutions in covering up these crimes. In her audit, Casey even explicitly instructed local authorities not to delete files.

Against this backdrop, and without the power to compel witnesses to appear, focusing on survivor and whistleblower testimony was both the obvious and most worthwhile angle for the Restore Britain leader to pursue. His report, however, is flawed.

For one thing, much of what it advocates was widely discussed when the issue of grooming gangs came to national prominence over a year ago, and some proposals are already Government policy. One example is mandatory ethnicity recording for offenders; another is the Home Office publication of foreign offender deportation figures by national background. This reflects an inherent limitation of an evidence base built primarily on survivor testimony: powerful though that testimony is, it is unlikely to generate recommendations that go significantly beyond the existing policy consensus.

Some proposals also sit in tension with what the wider evidence base on grooming victims tells us. Having heard the volume of testimony involving care homes, the report leans towards making it harder for children to enter local authority care. But the threshold for removal is already high, and what we know about grooming victims more broadly shows that vulnerability typically precedes care placement rather than starting with it.

There are also specific factual claims in the report that warrant scrutiny. The figure of 250,000 victims has been circulated widely today, presented as an established minimum. In fact, it originates from a 2019 House of Lords question by former Ukip leader Lord Pearson, who extrapolated from Rotherham’s 1,400 victims to suggest a national estimate. Sarah Champion, Rotherham’s MP, has put the number as high as one million on similar reasoning. While there are many towns that share Rotherham’s failures, not every town is Rotherham, and that kind of extrapolation doesn’t hold up. Many survivors used this report as an opportunity to speak publicly for the first time, and claims that don’t withstand scrutiny risk overshadowing their testimonies.

Lowe’s report is right to mention Islam as a factor in these crimes, but in doing so it risks flattening a more complex set of drivers around clan culture and ethnicity. Many people, most notably Tommy Robinson, have landed on the “anti-jihadism” framework and treat the religion itself as the causal variable. Yet plenty of the perpetrators are nominal, non-practicing Muslims, with the common profile of abuse involving drinking and drug use. The focus on Islam is a culture-war framing that masks the real culprit of clan mentality. One might recognize the same structure of these gangs in the village politics of the most Hindu parts of rural India. Consider the Henry Nowak case, where details of the involvement of the murderer’s Sikh family continue to unravel — a variation of the pattern.

What produced these gangs in English towns was not religious ideology but geography and kinship: dense, intermarried communities with their own authority structures, enough accumulated local power to capture institutions, and a strong instinct to close ranks against outside scrutiny. The presence of Islam in the abuse supplies the social glue and vocabulary rather than the motive. And it is precisely the ordinariness of that motive that made this so dangerous: these were not acts of ideological warfare but the product of communal loyalty. The banality is the point.

By framing this as a civilizational conflict, the new report mistakes the nature of what it is describing, making it harder to understand and harder to prevent. An analysis rooted in clan culture and institutional failure would be more accurate, leaving us better equipped to address the rot that actually allowed these horrors to take place.


Adam Wren is an analyst and the founder of Open Justice.

G0ADM

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

July 1 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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