
High Castles (and the Prescription That Never Was)
High Castles (and the Prescription That Never Was) Picture a GP appointment in Manchester. It’s 2019. A 34-year-old council worker sits across from her doctor.
Picture a GP appointment in Manchester. It’s 2019. A 34-year-old council worker sits across from her doctor. She hasn’t slept properly in three months. Her concentration has left her. She cries sitting in her car most lunchtimes. In the world we actually inhabit, she leaves with a sertraline prescription and a referral that will sit on a waiting list for six months.
But not here.
In this alternate version of events, she gets a login. She is asked to complete 12 weeks of structured neurological training on her mobile. Twenty minutes, five times per week. By Week 6 her working attention scores have lifted. By Week 8 her sleep has improved. By Week 9 her GP notes that her reported anxiety has dropped below the clinical threshold. Without a single milligram of SSRI.
This is not science fiction. The neuroscience underpinning this alternative reality is real. What is fictional is the world that was open to it.
The divergence happened around 2012. A university think-tank had accumulated enough longitudinal data to make an uncomfortable argument. Structured neurocognitive training, the kind that drives neuroplasticity through adaptive difficulty and timed auditory and visual processing challenges, produced measurable changes in the prefrontal cortex. The same region dysregulated in generalised anxiety disorder. The same region that SSRIs target by flooding synaptic gaps with serotonin and waiting for the brain to recalibrate.
The mechanism is different. The outcome is better.
In our world, that groundbreaking research was noted, filed in academic journals, and largely ignored. The NHS continued writing 89 million antidepressant prescriptions a year in England. NICE produced guidelines. Waiting lists grew. The pharmaceutical companies posted record profits.
In the parallel world, a health economist at the Department of Health looked seriously at the numbers.
They were embarrassing.
The Centre for Mental Health had already estimated that poor mental health costs the UK economy £119 billion annually. That figure encompasses NHS treatment costs, welfare payments, and lost productivity across every sector of the economy. At the time, mental health conditions were the primary or secondary reason behind more than 40% of all Personal Independence Payment claims. The DWP was spending billions sustaining people whose condition was treatable, who wanted to work, and for whom the waiting list had become the treatment.
A population-scale rollout of adaptive neurocognitive training would cost less than 2% of what the country was losing every year. Not saving. Losing. Repeatedly.
The health economist had no skin in the game. No axe to grind. No vested interest. He just ran the numbers. The argument was so simple that an argument wasn’t even needed.
Neurocognitive training was launched in 2016. By 2021, antidepressant prescriptions had fallen 31% among the 25 to 45 cohort. GP appointments for anxiety-related presentations dropped by more than a fifth. Presenteeism, where people show up to work but function poorly because their brain is misfiring on cortisol and dopamine, fell sharply in every sector, especially those where uptake was highest. Employer absenteeism costs, which Deloitte had put at £56 billion annually as recently as 2022 in our timeline, began to look like a historical artefact rather than an accepted feature of working life and P&L expenditure.
Now let’s return to the “real” world and see what’s really happening today.
Our Children’s Commissioner published a report in June 2026 that stopped a lot of people mid-sentence. Over a million children had an active referral to NHS mental health services in England during 2024/25. This is roughly one in ten of all children and young people. 10%. The highest number ever recorded. Referrals had nearly doubled since 2018/19 and the system is responding to that surge with a 2% real-terms increase in funding against a 10% increase in demand. More than 60,000 children have been waiting longer than two years, up from 44,000 the year before. The average wait time is 128 days. In 2021/22 it was 72.
This direction of travel is not ambiguous.
Anxiety was the single most common reason for referral. Suspected autism was the fastest growing, up almost 50% in a single year. And when children deteriorated badly enough while waiting, the Royal College of Nursing found that they were spending up to three days in A&E before a specialist psychiatric bed became available. Emergency departments are absorbing the overflow of a system that has simply run out of road.
Meanwhile in Guernsey, a 24-year-old called Chloe Browning had been waiting 18 months for an ADHD assessment, then discovered she had fallen off the waiting list entirely and had to start again. She told the BBC that she sometimes spent whole working days trying to produce a single Word document because she could not focus. Her employer was supportive. The system was not. A consultant psychiatrist at the island’s Adult ADHD Clinic confirmed that referrals had tripled since the pandemic, that waiting times for children were around 18 months and for adults they were over two years. This isn’t a Guernsey problem. It is a national pattern.
These are not outliers. They are the baseline.
In the alternate world, the trajectory for children looked very different. Neurocognitive training had been embedded in school settings from age seven, not as a therapeutic intervention but as general maintenance, prioritised alongside English and Maths.
The attainment gap between children in the most and least deprived areas, which in England runs to roughly 18 months by the time children sit their GCSEs, had narrowed. This was not because of curriculum reform or increased educational funding. It was because children’s foundational capacity to learn had been actively developed rather than simply assumed. Children referred for suspected ADHD were not placed on a list. They were assessed, trained, and supported within eight weeks. How? Because the basic infrastructure already existed in every school across the country.
Nobody was spending three days in an A&E corridor waiting for a psychiatric bed. The bed was not what they needed. The login and training were.
In that world, the CAMHS waiting list was not a scandal. It became a historical footnote.
But this was just the beginning.
If a workforce performs 10% more effectively (not harder but more clearly) with better working memory, faster pattern recognition, reduced cognitive fatigue and improved emotional regulation, the downstream effects are not linear. They compound.
The Alzheimer’s Society has argued for years that adults who are cognitively active can reduce their dementia risk by up to 46%. That alone reconfigures the long-term NHS cost projection by tens of billions. But the more pressing question is what that 10% unlocks.
Climate modelling requires sustained high-level systems thinking from thousands of researchers simultaneously. Drug discovery timelines depend entirely on the quality of attention that scientists bring to complex datasets. Infrastructure planning for net-zero transition involves a level of cognitive load that genuinely exceeds what a brain running on fragmented sleep and low-grade chronic anxiety can reliably sustain. The global challenges we talk about as though they are political failures are also, in part, neurological ones. We are trying to solve civilisation-scale problems with a workforce operating well below its biological potential.
And we are recruiting that workforce from the one million children currently sitting on a waiting list.
In this parallel universe, those brains got sharper. By design. At scale.
So what would it take to make this our reality?
Andy Burnham is about to become Prime Minister. He has spent nine years running Greater Manchester, which means he knows something most Westminster politicians don’t. How to break down institutional silos rather than hold conferences about them. As an example of this, the Bee Network did not happen because transport quangos voluntarily surrendered their territory. It happened because someone with a mayoral mandate forced the integration. Greater Manchester’s health and social care devolution model demonstrated that joining up services across organisational boundaries produces better outcomes and lower costs.
Every health secretary for twenty years has stood at a despatch box and used the word prevention, deployed to signal seriousness and avoid specifics. The spending review then arrives, the acute (crisis) sector demands its money, and prevention gets the 2% real-terms increase against a 10% demand surge. Exactly what just happened to children’s mental health services.
The problem is not a lack of will at the top. It’s the architecture beneath it. CAMHS exists to manage referrals. NICE exists to evaluate interventions against established clinical frameworks. NHS England exists to commission services from providers who employ people and occupy buildings. None of these institutions has an organisational incentive to recommend an intervention that makes its own referral pathway obsolete. Quangos won’t dismantle themselves or make themselves redundant. They protect their commissioning lines and call it clinical governance. They build walls, not bridges.
In the alternate world, that architecture was overridden. Not gradually but decisively. By a political leader who had cut his teeth as Health Secretary under Gordon Brown before running an integrated city-region. He understood that the institutions protecting their own legacy were not the same thing as the institutions serving the public. Neurocognitive training was not adopted because NICE approved it in the usual way. It was adopted because a government decided to treat neurological health the way it treated childhood vaccination. Not as a clinical service to be accessed reactively but as a public service delivered proactively to every child before the need arrived. Crisis averted. Lives improved. Billions saved.
Burnham has the political context to understand this argument. He has the structural experience to attempt it. He inherits a system where one in ten children in England have had an active referral to mental health services. Where the average wait is nearly 4.5 months and rising. Where children in crisis are being held in A&E for three days because the specialist bed they need doesn’t exist. The money being spent managing this failure dwarfs what a prevention-first infrastructure would cost.
The question is whether the institutions will let him build it. None of his predecessors could win the argument. But let’s assume he does. What then?
Well the pharmaceutical lobby didn’t go quietly. The arguments they made were not entirely dishonest. Neurocognitive training reaches only those stable enough to engage with it. The most acute presentations still require pharmacological stabilisation. Digital access is not universal, and deploying a screen-based intervention as universal healthcare without addressing that gap would simply reproduce existing health inequalities in a different format.
These were real objections. They were also advanced by an industry facing the loss of tens of billions in recurring prescription revenue.
What actually emerged was a tiered model. Neurocognitive training as the first-line response for mild to moderate presentations. Medication retained for acute intervention and where neurological training alone proved insufficient. The CBT waiting lists largely collapsed because fewer people needed them.
The institution that struggled most was the one nobody anticipated. Not pharma. The wellness industry. When people had access to a concrete, evidence-graded tool that measurably improved brain health, they stopped buying the supplements, the apps that delivered nothing, the mindfulness subscriptions that were never used.
But the bigger story was what happened to Britain.
A country that had spent two decades apologising for its institutions suddenly had something worth sharing. The NHS reconfigured itself around prevention rather than crisis management. It became an export. Not the model itself, which every country has to build for its own context, but the proof of concept. That a government could override institutional inertia, make the hard structural decision, and produce measurable population-level results within a single Parliament. Health ministers from Germany, Canada, Singapore, and Australia came to look. What they found wasn’t a utopia. What they found was a country that was open to change, innovative and progressive.
Britain’s science base benefited first and most visibly. The same researchers who had spent careers working at 70% cognitive capacity, their prefrontal cortices quietly throttled by chronic low-grade anxiety and accumulated sleep debt, were now producing at a different level. Drug discovery timelines compressed. Climate modelling outputs improved in their precision. The UK’s contributions to global AI safety research, an area requiring sustained high-level systems thinking across teams working on deeply uncomfortable problems, became disproportionate to the country’s modest size. Not because British scientists became smarter. Because they stopped operating below their potential.
The economic story that followed was not the one the Treasury had modelled. It was quieter and more structural. Absenteeism fell. Presenteeism fell further. The productivity gap between the UK and Germany, a source of national embarrassment for three decades, began to close. Not through investment in plant and machinery but through investment in the cognitive infrastructure of the workforce. The country’s most underutilised asset turned out not to be its transport network or its energy grid. It was the processing power sitting inside the brains of all 11 million adults of working-age.
There was one other consequence that no one predicted but everyone noticed.
The politicians got better.
Not morally better, though some argued that there were some green shoots. But cognitively better. Better decisions. Better communications. Better collaborations. The House of Commons, for the first time in living memory, began producing policies with time horizons longer than the next election cycle. Foreign governments, accustomed to dealing with British ministers who arrived jet-lagged, under-briefed, and visibly running on cortisol and prescribed talking points, reported that the meetings had changed. That the people across the table were actually thinking more critically.
One foreign diplomat, speaking anonymously to a political journalist, put it simply: “We used to budget three meetings to get to a decision. Now we get there in one.”
It turned out that enhancing the brains of a population also enhanced the brains of people in high castles elected to govern it. Which, in retrospect, should have been obvious. Just like the prescription that never was.

High Castles (and the Prescription That Never Was) Picture a GP appointment in Manchester. It’s 2019. A 34-year-old council worker sits across from her doctor.

The prison service in the United Kingdom and internationally is currently facing a “crisis point” regarding staff recruitment, retention, and operational safety.

On Wednesday 11 March 2026, the Thames Pavilion at the House of Commons provided a prestigious backdrop for a pivotal moment in justice reform. Evolve Education, hosted by MP Preet Kaur Gill, officially launched the impact report: “The Science of Change: Evaluation of ENHANCE at HMP Stoke Heath”.
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