Five things you need to know about AI

At SXSW London last week I gave a talk called “Five things you need to know about AI,” in which I shared what I think are the biggest themes in AI right now.

I pulled a few things from our first AI10 list, an annual guide to the most important trends in this buzzy world, but I also veered off on a number of tangents. In my half-hour slot, I tried to cover the key talking points that I think help to make sense of what’s going on in tech—and thus the economy—today.  

(I gave a talk with the same title at SXSW London last year with five different things you needed to know. A lot has happened since then!)

So: This is how I’m thinking about AI midway through 2026. Let me know if you would pick different points!

1. Strictly speaking, I didn’t need to show up to give this talk.

Tongue in cheek? Maybe. But generative AI tools have already become mundane, used by millions to automate everyday office tasks (including producing and delivering talks). It’s no surprise that one of the biggest questions out there right now is what this all means for jobs. People are confused and scared.

The frustrating answer is that despite the hype coming from the top about the potential for AI to join the workforce soon—and viral social media posts yelling that something big is happening—there is almost no data to say either way what kind of effect this technology will have on employment and the economy overall. That’s not to say it won’t have an impact, even a huge one, but it’s just too soon to tell.

In theory, teams of agents working together toward common goals could become assembly lines for white-collar work, doing to offices this century what Henry Ford’s innovations did to factories in the 20th century.

In theory. Because in order to know what will happen to jobs, we need to know what will happen inside the companies that create those jobs. But most companies are still figuring that out.

 2. AI is getting scary (for real this time).

There have been scary stories about AI for years—claims that it will kill us all or bring about the end of civilization. There’s still a loud crowd of doomers, but those scenarios remain dystopian science fiction.

What’s happened instead is that many of the worst near-term, real-world fears have come true.

Take deepfakes, AI-generated images or videos of people doing things they didn’t actually do. Deepfakes have been used to incite violence, swing votes, and sow distrust. Trump’s White House is among those creating and publishing fake images.

Many deepfakes are also used to abuse women and girls. One study found that 98% of deepfakes are pornographic and 99% involve women.

Another concern is the rise of dangerous and delusional relationships with chatbots. Many people turn to chatbots to seek private advice and to feel heard. But there are now multiple lawsuits against AI companies alleging that the technology encouraged or aided suicides and other forms of self-harm.

AI is also being used in warfare in new and worrying ways. LLMs are now giving advice, not just being used for analysis. One US defense official told my colleague James O’Donnell that you could now give a military chatbot a list of targets and ask which one to hit first. Anyone who uses AI knows that its output needs to be reviewed carefully. In fact-paced, high-stress active conflict, the risk that corners get cut is high.

3. A lot of people really hate AI.

I checked out an anti-AI protest in London earlier this year and found a very broad mix of complaints. Banners proclaiming the end times bounced along to chants of “Stop the slop! Stop the slop!” Protests are getting more organized and drawing larger crowds.

There’s pushback from fans of films and video games, who object to the use of generative AI in their favorite titles. In one notable case, the acclaimed 2025 game Clair Obscur was stripped of an award when the developers admitted to using AI in just one small, specific part of its production.

And there’s the data center backlash. The US has more than 5,400 data centers and counting. With the energy demands of AI growing, people are unhappy about the environmental impact and their rising electricity bills. Activists are managing to stall development in a number of places.

Regulation is becoming politically popular. Grassroots movements like QuitGPT have gained momentum. A small number have turned to violence; a few weeks ago somebody threw a Molotov cocktail at Sam Altman’s house. It’s not clear where all this leads. But the apocalyptic hype from tech leaders is not helping people stay calm.

4. AI for science is a very big deal.

It’s early days yet, but the potential for AI to help make a genuine and important scientific discovery is greater than ever.

Google DeepMind has developed Co-Scientist, a multipurpose tool that can help researchers dig up and compare previous results, generate hypotheses, and devise experiments to test them. OpenAI told me this year that its North Star is the goal of building a fully automated researcher by 2028.

Mathematicians are excited too. Fundamental math underpins many everyday technologies, from internet security to video streaming. The last few months have seen a string of claims that AI has cracked unsolved math problems. And software that can solve really hard math problems will be able—so the argument goes—to solve more general-purpose real-world problems too.

What are the downsides? Some scientists are warning that an overreliance on AI tools could narrow the scope of research because scientists may choose problems that are most suited to AI assistance. There are also concerns that AI-assisted research will lead to a flood of inaccurate or fake results: science slop.

5. AI is everywhere all at once.

So where does that leave us? There are a lot of exciting things, a lot of worrying things, and a lot of hot air. It can be exhausting to keep up, and yet it all feels inescapable. Some people will tell you we’re in a race to the top; some will tell you we’re in a race to the bottom. But it’s really not clear where we’re headed.

AI companies want us to march to their tune and buy into the propaganda about artificial general intelligence, whatever that means. They are selling a vision that feels inevitable, but it isn’t.

We’ve built a technology that can do humanlike things, and I think that makes it hard to get our heads around the fact that it is still just a technology.

Something is happening. Maybe even something comparable to the invention of electricity or the internet. But technologies like that take time to settle and bring lasting change.

Get ready for a marathon, not a sprint.

This story originally appeared in The Algorithm, our weekly newsletter on AI. To get stories like this in your inbox first, sign up here.

Comparative effects of structured exercise protocols on depression and anxiety symptoms: a network meta-analysis

ObjectiveTo systematically compare the intervention effects of eight common structured exercise modalities on depressive and anxiety symptoms in adults using a network meta-analysis approach, providing evidence-based insights for developing precision exercise prescriptions in mental health.MethodsA computer search was conducted across PubMed, Web of Science, Embase, and the Cochrane Library databases, covering the period from the database establishment to March 31,2026. Randomized controlled trials comparing different exercise modalities for treating adult depressive or anxiety symptoms were included. Literature quality was assessed using the Cochrane Collaboration’s Bias Risk Assessment Tool (Revised Version), with statistical analyses performed using Stata 19.0 and RevMan 5.4. The standardized mean difference (SMD) was used as the effect measure, consistency was evaluated by the node splitting method, and the cumulative rank-sum area under the curve (SUCRA) was calculated to rank intervention efficacy. Publication bias was assessed and corrected using the trimming method and meta-regression.ResultsA total of 22 studies involving 23 randomized controlled trials with 1,830 participants were included, encompassing eight exercise modalities: yoga, Tai Chi, Pilates, resistance training, aerobic exercise, combined exercise, high-intensity interval training, and moderate-intensity continuous training. Traditional meta-analysis demonstrated that exercise intervention groups showed significantly better improvements in both depressive symptoms (SMD = -0.67,95% CI: -0.97 to-0.37) and anxiety symptoms (SMD = -0.77,95% CI: -1.12 to-0.41) compared to the control groups (both P <0.001). The network meta-analysis results demonstrated that all exercise modalities were effective. In the SUCRA probability ranking, yoga ranked first in both depression (SUCRA = 68.8%) and anxiety (SUCRA = 72.2%) improvement. However, the differences in effect sizes between yoga and moderate-intensity continuous training (MICT) or high-intensity interval training (HIIT) were not statistically significant (all 95% confidence intervals included 0), indicating no clear superiority among the three interventions; thus, this ranking should be regarded as exploratory rather than confirmatory evidence. The top three interventions for depression symptom improvement were yoga, MICT (56.7%), and HIIT (54.6%), while the top three for anxiety symptom improvement were yoga, HIIT (57.4%), and MICT (56.2%). Subgroup analyses revealed no statistically significant moderating effects of intervention duration or age (all P>0.05), although the effect sizes were larger in the elderly group (≥60 years) compared to other age groups. Consistency testing indicated a reliable evidence network (P>0.05). Egger’s test suggested potential publication bias (depression P = 0.017, anxiety P = 0.010), but the meta-analysis did not incorporate missing studies, and meta-regression did not detect small-sample effects; the direction and significance of the effects remained unchanged, rendering the conclusions robust.ConclusionDifferent exercise modalities exhibit beneficial effects on both depression and anxiety symptoms. Yoga, MICT, and HIIT all demonstrated significant potential in alleviating both symptoms; however, the differences in efficacy among the three interventions were not statistically significant, making them all viable prioritized exercise modalities in clinical practice. Clinical selection should be based on a comprehensive evaluation of the patient’s dominant symptom cluster, tolerance, preferences, and safety profile to develop individualized exercise regimens. Since only one study included Pilates, its independent effect remains to be validated.Systematic review registrationhttps://www.crd.york.ac.uk/prospero/, identifier.

STAT+: New data may cast doubt on competitiveness of Boehringer’s obesity drug

New data on Boehringer Ingelheim’s obesity candidate suggest the drug may be helpful in cutting liver fat, but it’s not clear how competitive the treatment would be since it appears less efficacious and less tolerable than drugs on the market.

In a Phase 3 obesity trial, patients on the highest dose of the weekly injectable, called survodutide, lost 13% of their weight after 76 weeks, compared with 5% in the placebo group, according to data presented Sunday at the annual meeting of the American Diabetes Association and published in the New England Journal of Medicine. That’s lower than the rate of weight loss seen in pivotal trials of Novo Nordisk’s Wegovy and Eli Lilly’s Zepbound. 

Patients on survodutide, which targets the GLP-1 and glucagon hormones, did lose up to 63% of their liver fat, compared with 25% in the placebo group. Glucagon-targeting drugs are thought to be particularly helpful in cutting liver fat, since there are glucagon receptors in the liver.

Continue to STAT+ to read the full story…

Blood-Based Risk Score Could Enable Earlier Lung Cancer Prevention

Researchers have identified a 14-protein blood signature capable of predicting lung cancer risk more than five years before diagnosis, potentially opening the door to a new era of precision cancer prevention.

The study, published in Cell by investigators at The Francis Crick Institute and University College London (UCL), combines large-scale human population data, mechanistic laboratory studies, and clinical trial analyses to demonstrate that a blood-based inflammatory signature can identify individuals at elevated risk of lung cancer and may pinpoint those most likely to benefit from preventive treatment.

The findings move beyond traditional risk models based on age and smoking history and offer what researchers describe as a potential equivalent of cholesterol testing for lung cancer prevention.

Moving beyond smoking-based risk assessment

Current lung cancer screening programs primarily target older individuals with a history of smoking. While smoking remains the leading risk factor, many lung cancers arise in people who would not qualify for screening under existing criteria, including never-smokers and individuals exposed to environmental pollutants.

The research team sought to develop a biologically informed method of identifying risk by focusing on inflammation, which has emerged as a critical driver of tumor development.

Previous work from the group demonstrated that air pollution can promote lung cancer by triggering inflammatory responses that awaken dormant cells carrying cancer-causing mutations. The new study aimed to determine whether this inflammatory state could be detected in the blood before cancer becomes clinically apparent.

Machine learning identifies a 14-protein signature

Using plasma protein measurements from more than 48,000 participants in the UK Biobank, researchers applied machine learning approaches to identify blood proteins associated with future lung cancer diagnoses.

The algorithm incorporated conventional risk factors such as age, smoking status, prior lung disease, and plasma protein profiles. Analysis revealed a panel of 14 circulating proteins that consistently predicted lung cancer risk within five years of diagnosis.

The signature was validated across eight independent international datasets and remained predictive across diverse populations, including a cohort composed entirely of non-smokers.

Individuals who later developed lung cancer consistently exhibited elevated levels of the signature years before their diagnosis.

“This is a proof of concept that, one day, we could use this signature to offer preventive treatment to people at risk of lung cancer,” said Tej Pandya, clinical PhD student at UCL and visiting scientist at The Francis Crick Institute.

Detecting an inflammatory state before cancer emerges

One of the study’s most significant findings is that the signature appears to reflect a pre-cancerous inflammatory environment rather than the presence of an undetected tumor.

The researchers found evidence that the protein profile originates from changes within the lung microenvironment before malignant transformation occurs.

Further analyses showed that the same signature was elevated in individuals who later developed chronic obstructive pulmonary disease (COPD) or idiopathic pulmonary fibrosis, suggesting it may identify a broader inflammatory state that predisposes individuals to multiple lung diseases.

Studies in mouse models provided additional support for this hypothesis. Exposure to air pollution increased both the protein signature and the abundance of a cellular state known as KAC cells—adaptive cells that emerge during tissue injury but can become malignant when cancer-driving mutations are present.

Mutant cells arising from several distinct lung cell populations converged on this same KAC state during the earliest stages of cancer development.

Linking air pollution, inflammation, and cancer

The findings build on earlier research implicating the inflammatory cytokine interleukin-1 beta (IL-1β) as a critical mediator of pollution-driven lung cancer.

The investigators demonstrated that air pollution exposure increased IL-1β signaling, elevated components of the 14-protein signature, and expanded KAC cell populations.

Blocking IL-1β in mice reduced KAC cell numbers and slowed early tumor formation, providing experimental evidence that inflammatory signaling contributes directly to cancer initiation.

These observations suggest that the blood signature may serve not only as a risk marker but also as a biological indicator of an underlying process that can be therapeutically targeted.

Revisiting a major clinical trial

To determine whether the signature could identify patients most likely to benefit from preventive intervention, the researchers revisited data from the landmark CANTOS trial.

The trial originally evaluated the IL-1β inhibitor canakinumab for cardiovascular disease prevention and unexpectedly reported reduced lung cancer incidence as an exploratory outcome. However, the overall cancer-prevention benefit appeared too modest to justify widespread use of the drug for this purpose.

The new analysis tells a different story.

Researchers examined data from 4,651 CANTOS participants and found that individuals with elevated levels of the 14-protein signature experienced the greatest benefit from canakinumab treatment. In this high-risk subgroup, lung cancer incidence was nearly cut in half.

By restricting treatment to those identified by the biomarker signature, the number needed to treat to prevent one lung cancer case fell to 55, a figure comparable to widely accepted cardiovascular prevention strategies such as statin therapy.

Toward precision cancer prevention

The work represents a shift in how researchers think about cancer prevention.

Rather than treating large populations indiscriminately, the study suggests that molecular biomarkers could identify individuals in a reversible pre-disease state and guide targeted interventions before cancer develops.

“Drugs like statins have transformed the prevention of cardiovascular disease, used to treat individuals with a high low-density lipoprotein (LDL),” said Charlie Swanton, FRCP, PhD, clinical research director at The Francis Crick Institute and professor of cancer at UCL.

“But we don’t yet have an LDL-like marker of risk or a statin for lung cancer.”

Swanton added that identifying an inflammatory state before tumor formation provides a potential “window of opportunity” in which preventive treatment could be most effective.

Implications beyond lung cancer

The investigators note that the inflammatory signature may reflect a broader biological phenomenon associated with aging and chronic disease.

Because the signature was also associated with future COPD and pulmonary fibrosis, it may represent a shared pre-symptomatic inflammatory state that precedes multiple age-related lung disorders.

If validated in prospective studies, the approach could ultimately support routine blood-based risk assessment and targeted prevention strategies not only for lung cancer but potentially for other inflammation-driven diseases.

For now, the findings provide one of the strongest demonstrations yet that cancer risk can be detected years before diagnosis and that those biological signals may be actionable.

The challenge ahead will be determining whether identifying high-risk individuals and intervening early can translate into measurable reductions in lung cancer incidence, a question future prospective prevention trials will seek to answer.

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Microglial State Shift May Determine Whether Alzheimer’s Disease Pathology Leads to Dementia

Researchers from the VIB-KU Leuven Center for Neuroscience, the UK Dementia Research Institute, and Muna Therapeutics have discovered a biological transition that occurs in Alzheimer’s disease (AD) that may influence whether the accumulation of amyloid-β plaques and tau pathology progresses to dementia. Using human brain tissue from octogenarians with and without dementia as well as cognitively healthy centenarians, the team found that a shift in the behavior of microglia occurs at a critical point between amyloid-driven inflammation and tau-associated neurodegeneration. The research, published in Nature Medicine, point to these microglial transitions as a potential new target for treating the disease.

“This has been an exciting journey with many partners,” said co-senior author Bart De Strooper, MD, PhD, a professor at VIB-KU Leuven Center for Neuroscience, Belgium. “The study, entirely based on human donor material, provides insight into one type of resilience mechanism in the progression of AD to dementia.”

Alzheimer’s disease affects more than 55 million people worldwide, but prior research has not been able to fully explain why some people with AD remain cognitively healthy despite having significant amounts of amyloid plaques and tau tangles in their brains. Current models of AD progression have assumed a linear path from amyloid accumulation to tau pathology, neurodegeneration, and cognitive decline. However, observations of cognitively intact older adults with substantial pathology have indicated there may be other biological factors that influence dementia development.

“AD is not an inevitable outcome of pathology but a dynamic process shaped by how brain cells respond to amyloid-β (Aβ) and tau,” the researchers wrote, adding that “Clinical symptoms may thus arise only when these compensatory mechanisms fail, crossing inflection points that shift the brain from adaptation to degeneration.”

Previous studies using single-cell and spatial transcriptomics had shown that microglia, astrocytes, oligodendrocytes, and neurons undergo stage-specific changes in response to amyloid accumulation. Those findings, combined with observations that some centenarians maintain cognition despite extensive pathology, suggested that immune-cell responses might influence disease outcomes and were the underpinnings of the current research.

To further understand these mechanisms, the investigators examined 24 well-characterized octogenarian brains and 20 brains from cognitively intact centenarians enrolled in the Dutch 100-plus Study. Using spatial transcriptomics, single-nucleus RNA sequencing, and in situ hybridization to tissue from the superior frontal gyrus, the team was able to analyze gene activity at single-cell resolution while preserving the spatial relationships between cells and pathological features in the brain.

Their analysis identified six distinct tissue domains representing a continuum of Alzheimer’s disease progression. Within this “spatial pathological” continuum of AD the researchers found a “key inflection point marked by a shift from Aβ-associated inflammatory changes to tau-associated cellular programs.”

This transition coincided with a significant change in microglial behavior. Early in the disease process, microglia adopted inflammatory states associated with amyloid plaques. Later, they shifted into antigen-presenting states linked to emerging tau pathology. The researchers described these as early and late plaque-induced gene, or PIG, programs.

Data from the study indicated that resilience to disease progression involved different microglial responses in the different groups studied. Octogenarians who accumulated amyloid plaques but remained free of dementia mounted the early inflammatory microglial response but did not progress to the later antigen-presenting state. This compared with cognitively intact centenarians in which the later microglial program was activated, but this activation occurred without the corresponding buildup of tau pathology typically associated with neurodegeneration.

“Resilient individuals showed distinct pathological patterns: octogenarians without dementia lacked late PIGs, whereas centenarians showed late PIG activation that was uncoupled from tau accumulation,” the researchers wrote.

According to the investigators, these findings indicate that resilience to development of dementia in AD is not simply a matter of avoiding pathology, but may depend on how the brain regulates the cellular consequences of AD pathology.

The research also revealed clues about how microglia might be targeted therapeutically. The researchers suggest that preserving beneficial early microglial functions involved in amyloid clearance and synaptic maintenance while preventing chronic antigen-presenting activation associated with tau pathology could help slow disease progression. Potential targets include pathways involving TREM2, CSF1R, and molecules associated with microglial state transitions.

“These findings open new opportunities to target microglial states—especially pathways such as TREM2—and extend resilience rather than simply focusing on plaque removal,” said co-senior author Niels Plath, PhD, chief scientific officer of Muna Therapeutics. “We are excited to continue this journey and understand the causal role of microglial transitions leading to the identification of novel therapeutic approaches to delay or prevent disease progression.”

Continued research will look to determine the causal mechanisms that drive these microglial state transitions and identifying the genetic, immune, or aging-related factors that allow some individuals to remain resilient despite significant Alzheimer’s pathology.

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Universal Coronavirus Vaccine Could Provide Protection Against Future Strains

Results from the first human trial of a universal coronavirus vaccine show early promise for a new approach to vaccine design that could protect against a broad range of strains within major virus groups, including strains that have not emerged yet. These findings were published today in the Journal of Infection.  

“Viruses like influenza, coronaviruses, and the Ebola group are evolving continuously and by the time vaccines are rolled out, they may be poorly matched. The current “reactive” vaccine system struggles to keep pace,” said Saul Faust, PhD, professor of pediatric immunity and infection at the University of Southampton and director of the NIHR Southampton Clinical Research Facility, who acted as chief investigator of the clinical trial.

Currently, vaccines contain antigens from specific viral strains that have been detected and predicted to be circulating in humans seasonally. However, because viruses mutate rapidly, the protection these vaccines offer can be limited by the time the vaccines are manufactured and distributed. In contrast, the PanSarbeco vaccine evaluated in this trial is designed to train the immune system to recognize and fend off a broad range of Sarbeco coronaviruses, including the SARS-CoV2 virus responsible for the COVID-19 pandemic.  

“This new class of universal vaccines are future-proofed,” said Faust. “They not only protect against many variants simultaneously, but potentially against related viruses that haven’t yet emerged and spilt over to humans. If we can develop and clinically advance this new class of vaccines before a virus outbreak begins, millions of lives could be saved, lockdowns avoided, and the economy preserved.”

The technology behind this vaccine uses machine learning to design a super antigen that can provide lasting protection against a broad range of viruses within a group, such as the Ebola group or the Sarbeco coronavirus group, even as they continue to mutate and evolve. This approach originated at the University of Cambridge and is currently being developed by DIOSynVax (Digitally Immune Optimised Synthetic Vaccines), a spin-out company established in 2017. 

“We’ve converted vaccine development from being reactive to being future proof. Our vaccines will continue to provide protection against viruses even as they mutate into new strains,” said Jonathan L. Heeney, DVM, PhD, professor of comparative pathology at the University of Cambridge and chief scientific officer of DIOSynVax. “We’ve overcome the problem of traditional vaccines, which have limited protection. It means we can escape the constant cycle of chasing the virus variants circulating in humans and updating the vaccines to try to catch up, like a dog chasing its tail.”

The PanSarbeco vaccine was tested in 39 healthy volunteers between 18 and 50 years old at NIHR research facilities at Southampton and Addenbrookes Hospital. The super antigen is compatible with most vaccine delivery systems; in this study it was delivered as a DNA vaccine using a needle-free delivery system in two doses administered 28 days apart. All four doses tested were well tolerated by the participants, with no significant safety concerns reported. 

While participants developed immune responses to epitopes of sarbecovirus antigens conserved across strains, preliminary measurements of immunogenicity were modest in some participants potentially due to previous immunization with COVID-19 vaccines. Going forward, a larger Phase II trial will assess the vaccine’s ability to induce a strong, broadly protective immune response. 

“The remarkable success of this AI-designed ‘super-antigen’ trial marks a pivotal leap forward in our ability to deliver broad, lasting viral protection,” said Marian Knight, MBChB, DPhil, professor of maternal and child population health at the University of Oxford and scientific director for NIHR Infrastructure.

 

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Awakening from the Trance

This blog was originally posted by the TLC Foundation for BFRBs

Trichotillomania touches on all levels of human experience, from the neurological to the spiritual. It represents the interactions of brain chemistry, but also habituated physiological responses, sensory processing, behavior patterns, characteristic emotional states, perceptual styles and beliefs, and the sense of interconnectedness with others and the experience of faith. It is more than just a behavior, although it is most apparent when it manifests itself in that way.

Trichotillomania can be treated at all of these levels through different treatment approaches: medication, relaxation and response prevention, behavior modification, hypnotherapy, psychotherapy, cognitive therapy and visualization, group therapy and spiritual practices. The most effective approach will depend on the specific needs and circumstances of each individual at specific times, as well as on the compatibility of the personalities of the treatment provider and patient/participant.

In this article I will present my own view of treatment with a particular focus on how to understand and address the aspect of trance.

“Trance” is not a clinical term, but it is one which most pullers seem to recognize immediately as a significant part of the hair pulling experience: particularly when reading or watching TV. However, I believe that any time one is pulling, one has entered a trance state and that trance states occur with great frequency even at other times. To look at how to make use of this concept I will first describe what I think treatment needs to address.

Trichotillomania as a symptom: My approach is to look at what the behavior of pulling means to a particular person, and what it means about them. I view pulling as a symptom which indicates something about what is going on in that person’s life and can be best understood if we look at the context in which it occurs – both over time (how did it evolve), and ecologically (how does it fit into the network of the person’s relationships, commitments, self-perceptions, experiences of their own body and emotional states, etc.).

Symptoms are an indication of the existence of some other process. Just as a fever may reflect a viral infection, a repetitive behavior reflects an underlying mental activity. The symptom develops in response to the activity and one of its functions is to achieve some control over the consequences of that mental activity. I believe that trichotillomania indicates an attempted solution to a psychological challenge (or opportunity) one is facing in one’s life. However, it is an ineffective solution for two reasons. Firstly, it doesn’t alter the situation which has become challenging, and so the underlying causes remain unchanged. Secondly, by drawing attention onto itself it obscures those underlying causes. It distracts attention from them.

But the behavior, none the less, does have some purpose and utility. It relieves the anxiety of becoming too aware that there are challenges and opportunities which one feels unprepared to confront.

The role of emotions:

The mechanism which could be drawing one’s attention to these challenges and opportunities is the experience of emotional reaction. Emotions serve to amplify our perceptions of situations by making the good seem better and the bad seem worse. In that way, they lead us to focus on what is important to us so that we will take action. Being able to notice and interpret our emotions is something we learn as we grow up. Emotions represent a kind of language for helping us make meaningful choices as we engage with life.

But if these emotions were felt to be too overwhelming – if what they indicated felt too bad to be tolerated because we did not learn how to resolve the situations they drew attention to – then we eliminated them from our emotional vocabulary and we restricted our awareness of them. Now, when those situations reoccur, rather than notice our feelings of hopelessness and helplessness, we may turn to other mechanisms, more basic ones rooted in physical sensations, to occupy ourselves and restore some sense of order to the world.

So, in this model, the behavior of hair pulling is not an indicator of psychological inadequacy, but rather a lack of awareness. It reflects a split between awareness/thoughts and sensations/feelings. It is the result of an unknown mental process, something one has not been able to assimilate into one’s conscious thought, for which no words or language have been developed.

If this could be understood then I believe there would be less justification for feelings of shame connected with Trichotillomania, because Trichotillomania represents an underlying process outside of personal awareness, and thus is not something voluntarily chosen. (It would also answer the following disturbing statement frequently made to hair pullers: “You could stop if you really wanted to.”)

I have so far described how emotional activity and unconscious thoughts affect us in ways which we do not recognize. Despite this lack of recognition, we still need to adjust to them and regulate or organize ourselves. A good example of this is the way in which a fussy baby, if not picked up or fed when it wants to be, learns to get its thumb into its mouth and suck on it. It is finding a way to organize its reactions to its world by retreating into an attitude of self-sufficiency. In this way it solves the problems of the conflict it experiences between the emotions it feels and the lack of a way to take effective action about them in the outside world. It restores order by returning to a sensation-based activity which it has control over. It has learned to retreat into a trance.

The similarities between this example and the experience of hair pulling are striking. So how is Trichotillomania like a trance, exactly?

Trance:

The (Oxford) dictionary defines “trance” in these ways: a suspension of consciousness; a state of mental abstraction from external things; absorption, exaltation, rapture, ecstasy. Going into a trance is turning away from the world, suspending engagement with it, and entering a twilight zone of self-enchantment. The experience is one of being in between states: neither in one’s own mind, nor aware of one’s body. One has turned away, both from the rest of the world and from the rest of oneself.

It is a state in which one doesn’t think about what one feels, and doesn’t act on what one feels. One has turned away from the parts of the self which are concerned with action and purposefulness. In the trance state, a part of the personality takes over which doesn’t care about anything (except the act of pulling) and ignores the existence of time or consequences to one’s actions. It is the opposite of the perfectionist attitude so common to many hair pullers. Becoming entranced in the act of reading, for example, one detaches from the here and now, and allows this part of the personality to “come out”: while the cat’s away, the mouse plays. It is a secure, dependable, magical place in which one can avoid dealing with the stimulation of one’s spontaneous emotional responses to life.

If we look again at the role of emotions as amplifiers of perceptions, we see that what is happening in this state is that one is neither thinking about, nor acting on, what the emotions could be indicating. And as they indicate what is important so that action can be taken, the trance state eliminates the possibility of taking the action required.

How does this detaching process become chronic?

I believe it is the result of repeated experiences of failing to take effective action on what one’s emotions tell one is important. This failure can have many causes, but the result is that these important situations become perceived as challenging and threatening because they are felt as over stimulating. To protect oneself from discomfort, one disassociates from the situation. The part of oneself which perceives or feels what is going on is split off from consciousness. What remains conscious is the part which doesn’t feel and which preserves a sense of order and calm. Gradually, a gap develops between this external presentation of the self – as coherent, caring, positive – and an inner state of feeling confused, frustrated, and overwhelmed.

A false self develops, a self which appears to be more in control than is actually felt, and which one tries to believe in. The fear of having this façade penetrated adds greatly to the level of stress felt by hair pullers. Because this false self cannot be dropped when one’s gut reactions tell one to, one becomes trapped in a vicious circle that leaves one over stimulated (including the times when one merely seems to be bored), detaching from one’s body, and trying to regain control. A strong need is felt to reconnect to the body and feel grounded.‍

Trichotillomania as a return to the body:

The route to feeling in one’s body again is through becoming hyperaware and hypersensitive to sensation. This is a more basic and elementary experience of oneself: one cannot think or feel what is happening, so one uses a physical behavior to establish a link between unconscious inner experience and being in the real, physical world. This provides a solution to the twilight state of feeling detached. The sensation-focused behavior provides a substitute sense of being connected, and its ritualistic aspect creates a sense of soothing order rather than chaos.

So, looked at in this way, the act of pulling a hair actually represents the second stage of entering into a trance. The trance is triggered by the habitual reaction of disassociating rather than facing a situation which one perceives as overwhelming. But while an attitude of order and calm is being adopted (a state of “mental abstraction”), the experience of being detached from the feelings in the body becomes disorienting and the urgent need is felt to focus on the sensation of touching, playing with, and pulling hair. This provides the experience of concreteness and connectedness which allows the trance to continue.

Awakening:

What is needed is a process for regaining consciousness and turning back to engaging with life. How does one wake up? How can one build a sort of observational platform from which to watch the process of entering into a trance; one which can be separate from the process itself? I would suggest that rather than start with the ultimate goal of avoiding trance states altogether (which may be unreachable), a more pragmatic approach would be to learn how to wake up once one starts.

When we drive long distances on freeways and our attention wanders, we sometimes find ourselves drifting over into the next lane. If there were raised lane markers on the road, they would then alert us by causing a noise and a vibration as the car drove over them. That is the kind of alarm system we are looking for. It doesn’t prevent our minds from wandering, but it brings us back to the here-and-now experience before we get into trouble.

Such a system does exist: it is the sensation of a hair being pulled out. Once one hair is pulled, the opportunity exists to break the trance. That hair can be a signal to come back to the here and now rather than getting into the trouble of starting a pulling binge. (The goal of stopping at one hair pulled would also very likely include the benefit of making it much easier to commit to a realistic process of bringing the behavior within tolerable limits.)

How can one learn to stop at just one? Setting such a goal becomes much more possible if one understands one’s reasons for avoiding the goal until now. I have discussed in this article how Trichotillomania is a process which provides an attempted solution to an underlying tension. There is an inevitable anxiety about relinquishing a familiar, dependable behavior. A part of oneself therefore resists changing it and depends on the benefits it brings. This part has no intention of allowing any changes to occur unless one is prepared for the emotional experiences that follow, and it protects one from them.

A way to understand this resistance to change would be to think of the patterns of our behavior as a balanced mobile hanging from the ceiling. All its parts are interconnected and form a stable pattern. If we remove one of the parts, all of the others start to swing wildly until they settle into a new, substantially different formation. The intermediate stage of unbalanced, indeterminate movement could be likened to the feeling of overstimulation from one’s emotions when the ritualistic trance is denied.

To prepare for this change, an expanded awareness of emotional experience and what it teaches is indispensable. The remainder of this article offers some suggestions for work that can be done alone to expand this ability. This task is made much easier and more effective, however, when it is done in the context of a healing dialogue: either in individual or group therapy, or in a support group. This option deserves serious consideration because the act of communicating to another person helps bring one’s inner experiences into focus. Additionally, when there is the trust that the other person is willing not only to listen but to actively attempt to grasp what the speaker means from the speaker’s own point of view, the feeling of validation and recognition received makes awareness of the emotional states more bearable.

Reading the signals:

Part of the personal preparation which can be done is to establish intent to learn from what is found when one tries to read the signals. This would require a willingness to recognize that there are good reasons for what one feels rather than prejudging emotions as wrong, inappropriate, or proof of all the “bad” things one has come to believe about oneself. It also requires a willingness to feel discomfort, hurt, and vulnerability so that there can be a return to wholeness and the sense of being fully alive.

1. The most direct step is simply to ask yourself questions such as: What am I feeling? What is on my mind? Is something bothering me? What do I want right now? Is there something I should be doing? Special attention should be paid to the first answer that comes to mind, even if it very quickly disappears or seems insignificant. You should have an open mind and be prepared to be surprised. Before asking yourself these questions, stop the activity you are doing, if possible. If answers do not emerge the following techniques can be tried.

2. Let your body speak. Allow yourself to become aware of where you feel tension or discomfort. Imagine that that part of you has a voice and can answer the questions in Step One. Try asking follow-up questions to learn more.

3. Try exaggerating the physical state that you are in. That is, whatever movement your body is making or would like to make, take it to an extreme as if you were a very melodramatic actor or dancer who had no inhibitions. Again, think about how your body is expressing answers to the questions in Step One.

4. Visualize yourself as a child of about five and ask the questions of her or him. The answers should seem to be in the language of a 5-year-old. It might help to hold an object such as a cushion or stuffed animal to you as you try to make contact with yourself in this way. It also might help to combine this with some exaggeration of body expression. Additional questions you might ask could be: What do you need from me? Is somebody upsetting you? (See Reference 1.)

5. Write a question to the child, then switch your pen to your other hand and write the answer with that hand. You should write very quickly and with no attempt to make the writing more legible. Then switch your pen back to your original hand for a further question. Continue the dialogue, and the switching of hands, until no further clarification is necessary. The purpose of this technique is to facilitate the spontaneous flow of ideas. (See Reference 2.)

6. Write out the questions as complete sentences to be completed and complete the same question five times as quickly as possible. The questions would be rewritten as follows: Right now, I want….; or: I am upset because…. Allow any response to come forward. Often, a few unrevealing responses will be followed by one unexpected and more valuable one. (See Reference 3.)

7. Hold the hair which has just been pulled out and ask yourself: What did this hair give itself up for? A significant reason for the failure to stop hair pulling is the frequent presence of trance states, which enable one to deny the consequences of the behavior. Additionally, the experience of trance encourages one to focus on physical sensations such as the feeling of a hair being pulled, so as to achieve a greater sense of being connected to reality.

I have described how one enters a trance when certain situations trigger a habituated expectation of becoming overwhelmed. In self-defense one suspends consciousness of the challenge and retreats into a state of emotional detachment. The alternative to the trance, then, is to identify and assimilate the emotional cues about the situation so that appropriate action can be taken. The sensation of the first hair being pulled can serve as an alarm to awaken one from the trance and begin this process of self-evaluation and a return to an alert engagement with life.

Reference 1: Margaret Paul. Inner Bonding. San Francisco: Harper Collins, 1990.Reference 2: Lucia Cappachione. The Power of Your Other Hand. North Hollywood, CA: Newcastle Publishing, 1988.Reference 3: Nathaniel Branden. How to Raise Your Self-Esteem. New York: Bantam, 1987.

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