ADHD and the lies we tell ourselves

I recently finished a book, 12 principles of raising a child with ADHD. In general I don’t like this science-based self-help genre but I am entering a phase where I am truly out of my depth. My son is moving into middle school, I’ve got a newborn on the way, and I cannot drop the ball on supporting my son or myself during this time. It’s more important for me to model good coping skills than it is for me to do anything else.

This book was kind of a wash for me. Living with pretty severe adhd as an adult has made it so my coping skills are not terrible. It did put into words the experience of a child who does not understand what is occurring inside their head though, which I appreciate.

Van Voorbijgaande Aard in Natuurlijke Omstandigheden ; De Aapropos

Vandaag ben ik, Pre Centator, in een wel heel bijzonder deel van Smægmå, het verregende woud waarin alleen soorten leven die heel erg graag nat zijn, worden en zo willen worden gehouden, het moet zo nat mogelijk zijn maar dan weer geen oceaan of stuwmeer zijn, voor mij en mijn medeklinkers en dergelijke medewerkers is het er vrij lastig vertoeven, het wifi netwerk is niet al te best, alleen in hoge bomen zie je wel eens een streepje hoop op bereik.

Wij zij hier samen opgehoopt voor een reportage over een bijzondere apensoort, de Aapropos, in gewone schrift taal de Post Scriptum aap of de Voorikhetvergeet Aap. Deze Aapropos komt uit de Aapostrofe über soort die uiteindelijk uitkomt onder de stapel waar wij ook bij horen, de (gecultiveerde, aangeklede, geknipt en geschoren, met een mobiele telefoon omhopsende) mensapen type. De Homo Zakiëns, ex Ludens, Leuk weetje toch.

Aaproposeurs en Aapropositie, de namen van het mannetje en het vrouwtje, leven hoog en laag in de bomen van het verregende woud, ze besteden hun tijd voornamelijk met elkaar in de rede vallen, tijdens de vele debatten op de takken van enorme lof houwende bomen geworteld in die glibberig natte aardbodem, de stammen eigenlijk altijd omring door rustig of wild kabbelend water. Er is nooit een Aapropos die als laatste klanken uitstoot, een debat gaat voor zover ik weet door en door tot in het oneindige van het alsmaar nieuwe verdiepingen aanbouwende heelal.

De Aaproposeur klinkt zwaarder dan de Aapropositie, ze doen zich voor als hoger in rang, om dat beeld te bestendigen zitten ze op hogere ranken van de geloofde bomen tijdens het oneindige gebabbel. Het is voor een buitenstaander onmogelijk om te weten waarover ze zo druk speculeren aangezien ze daarmee nooit stoppen, behalve heel even voor voortplanten en voeden, handelingen blijkbaar alleen nodig voor meer speculaties en altijd genoeg deelnemers aan het gesprek in de verre, verre toekomst. U begrijpt wel dat het niet moeilijk was deze soort te ontdekken, ze deden er zelfs alles aan om het te worden. Gezien, gehoord, te worden ervaren door alle andere verregende wouden bewoners, het merendeel vertrokken naar posities heel ergens elders, zo ver_mogelijk bij de ellendig rumoerige Aapropos vandaan, helaas voor hen en ons heeft deze soort bedroevig weinig vijanden.

Door onfortuinlijke toevalligheden verdwenen hun grootste vijanden, de hoop van de overige verregende inwoners is daarom gevestigd op geruchten, wanhoop eigenlijk, die geruchten zijn ook waarom wij hier zijn toeschouwen op film en in items, Het lijkt er op dat deze snel naar onze droger gelegen delen van Smægmå oprukkende soort zichzelf steeds harder en harder tegenspreekt, tot dood bloedens toe op elkaars klankkast inhoud ingaat ten bate van het eigen geluid, nou ja, lawaai, herrie, kabaal.

Wij, de mensen van de redactie van Van Voorbijgaande Aard in Natuurlijke Omstandigheden, zijn er op uit om beelden van dergelijke in geweld uitlopende communicatie pogingen te filmen, allemaal voor de wetenschap en natuurlijk voor het vermaak. De bron van onze omroepleider is entertainment tot aan de dood en daar voorbij bezorgen aan de fans van entertainment en entertainers overal op Smægmå, waar zouden we zijn zonder al die miljoenen vermakelijke bijdragen via alle juist daarvoor ontwikkelde methodes en technieken, onze AI.

We dachten dat geruchten zoals deze loos waren en waren er derhalve van uitgegaan dat we ze in scene zouden moeten zetten of met list en bedrog moesten veroorzaken binnen de Aapropos stam maar tot onze eigen verbazing bleek het gezegde waar. Deze soort kon elkaars beeld en geluid niet verdragen, ze gunden elkaar geen klinker, geen teken van lezen, helemaal niks en zichzelf juist alle rumoer op hun immer toenemend terrein. Hun klankkleur boven al het andere, met name boven dat van de andere lagere ranken toeten en blazende Aaproposeur en hun Aaproposities. Sterker nog het in serene stilte schieten van deze bijzonder afschuwelijke, schrikwekkende reportage vonden we het, weliswaar heel even, beter om de beelden van elkaar met hand en tand bestrijdende apen niet aan u te tonen, maar aangezien we u toch moeten entertainen met de werkelijk wonderlijke wereld van moeder natuur in samenwerking met moeder taal in vader land Smægmå ziet u nu toch voor u de eindeloze strijd tussen de Aaproposeurs, Aapropositie aan alle kanten tegen de andere Aaproposeurs en Aapropodities, een bloedige strijd over iets van hoorbaar belang wat ons echter is ontgaan maar des ondanks er duidelijk toe doet dat ziet u nu, twee uur lang en daarna een week in de uitzend loop, en daarna altijd oproepbaar vanuit de cloud, we hebben ook speciaal voor u bijna overal vaste webcams in het verregende woud opgehangen zodat u op ieder moment van de dag kunt zien hoe de strijd verloopt en wie wint en wie het pleit heeft verloren. Als dat niet leuk is dan weten wij het ook niet meer.

Tot de volgende keer maar weer bij Van Voorbijgaande Aard in Natuurlijke Omstandigheden.

You asked me about the origin of Sigi's Rule #4. I recall that I told you a related story, but omitted the birth of the notion itself. Forgive me. I was trying to protect you. I realize now there is no protection available. I should have explained earlier the circumstances in which the idea first occurred to me.

I was walking through unfamiliar country when I came to a signpost that was clearly not sitting comfortably in its role along side the fork in the footpath. But trusting it, I followed the direction it indicated. I was a more than gentle ascent, but the beauty of the landscape drew me onwards. I paused occasionally to gaze upon the scenery or stoop to admire the collision of colours among a display of wild flowers. So I cannot say that I soon realised it was leading me entirely the wrong way. Rather that I had been so pre-occupied with being in the landscape that I walked a considerable way, to the summit of a hill. It was only when I reached the summit, and found no obvious way onward, that I became annoyed.

And yet, as I my eyes danced from field to cottage from road to river, tracing the whole valley now arranged below me, the annoyance must have melted away, for I was no longer aware of it. Only the delight at being there. I continued along in a make-shift direction to regain the valley further along in my journey and reflected. Had the sign been obedient to its office, I would have remained on the lower road and never seen the landscape before me. The mistake revealed a truth.

Years later, passing that way again, and now wholly familiar with the route, I noticed the old sign still leaning at its disproportionate angle, but obscured from casual view by a perfectly accurate modern directional system. Visitors could now reach their destination efficiently and without confusion. Yet nobody ever climbed the hill. Nobody saw the valley. The truth of the sign concealed a mistake: navigation had become confused with arrival. I concluded:

A mistake may fail in relation to its object while succeeding in relation to a horizon.

A truth may succeed in relation to its object while failing in relation to a horizon.

I rather value this lesson. Not every wrong turn is an error, and not every correct direction reveals where one is. And I, I have never been entirely certain whether the discomfort of the sign as I originally encountered it, revealed a deeper history. ✒️ Sigi

I’ve started a powerlifting program again and I’m so excited! Also, there’s this one girl at the gym that is really pretty, but looks absolutely terrifying like i’ve started a powerlifting program again and I’m so excited! Also, there’s this one girl at the gym that is really pretty, but looks absolutely terrifying like an insane death glare. At the end of our gym session J and I went to the posing room and she was there, and I asked her for advice on something and she was such an incredibly bubbly, friendly person. We exchanged Instagram’s and I don’t know. I think it’s just insane how much things can change if I give them the chance.

De mange forsøkene fra profilerte Høyre-politikere på å klistre venstresida til islamisme fremstår som en klønete forsøk på å «speile» argumenter folk på høyresida blir møtt med. Men dette kommer aldri til å bli en symmetrisk diskusjon, av en enkel grunn: høyreekstremisme er en ekstrem ytterkant av høyrevridd ideologi, men islamisme er ikke en ekstrem ytterkant av hverken sosialisme eller sosialdemokrati.

Vi finner ytterst få, om noen, eksempler på at profilerte politikere på venstresida lefler med islamisme eller adopterer argumenter fra radikal islam. Det ville være absurd. Radikalt islam er jo en reaksjonær ultra-konservativ ideologi. Men vi finner mange eksempler på at folk på høyresida lefler med høyreradikalt tankegods.

PST trekker fram “ekstrem islamisme” og høyreekstremisme som de to store truslene på terrorfronten i 2026. Bare en av disse to truslene har en berøringsflate med det etablerte norske partilandskapet. Om man trekker høyrevridde standpunkter, f.eks. mot innvandring og flerkultur, til et ekstremt ytterpunkt, kan du havne i høyreekstremisme. Men du trekker venstrevridde standpunkter til sitt ekstreme ytterpunkt, havner du ikke i radikalt islam.

For de på høyresida som skulle være forvirra over hvorfor det er mest snakk om å “ta avstand” fra høyreradikalt tankegods og mindre om å ta avstand fra ekstrem islamisme, så finner du også svaret her. Det er en fjollete øvelse å be noen om å ta avstand til noe de aldri har har vært nær, eller nærmet seg. Avstanden mellom ekstrem islamisme og norsk venstreside er stor og konstant. Du kan like gjerne be oss ta avstand til Bouvetøya.

Men å sørge for at det er tilstrekkelig avstand mellom høyresida og deres radikale og ekstreme ytterfløy, krever åpenbart stor og kontinuerlig innsats. De siste årene har jo høyresida kollapset til autoritære og rasistiske partier i mange vestlige land, noe som truer både menneskerettigheter, demokrati og rettsstat. Deres ideologiske svakhet er en trussel mot oss alle.

Hvis islamistiske partier tok over vestlige land med venstresidas støtte i land etter land, så kunne vi snakket om behov for avstandtagen, men sånt foregår jo bare i fiksjonen, i rasistiske feberfantasier som den norske kulturmiddelklassen koser seg med.

Ironisk nok er den eneste måten høyresida kan forsøke å «speile» denne debatten på, nettopp å omfavne høyreradikale konspirasjonsteorier. Ideen om at islam og innvandrere egentlig bare er et verktøy for venstresida, som «importerer» mennesker for å bytte ut befolkninga, også kalt «den store utskiftningen», var sentral i Breiviks tankeverden.

Om man adopterer denne store løgnen kan man skape en skrudd kobling mellom venstresida og radikalt islam. Men da har man blitt en høyreradikal konspirasjonsteoretiker på veien.

Derfor føles det siste døgns desperate forsøk på å slå politisk mynt på pride-terroren i Berlin fra høyresiden både dumt og destruktivt.

Good morning. Against everyone’s best interests, im back. while i thought this would’ve taken longer, it didnt. which is. unfortunate for us all, but anyway. im back now. sitting here like i never left. life really does have a strange sense of humor. so do i. the twenty-fifth, the twenty-sixth, the twenty-seventh. waiting. most people arent very good at that, a lot of waiting. not so exciting, i know. but anyway, the little situation is over. i would explain, but i have a feeling people enjoy making up their own vesions more. humans do love that. give the half a picture and suddenly they’re experts. always, always very confident about things they’re usually wrong at. its almost impressive, considering being wrong is probably the one thing they practice every day. As for my little guest. a very determined person. ill give them that. the confidence they had was impressive while their decisions were questionable, their attempt at changing the story was almost charming, almost. Everyone likes to believe they’re the exception, the one person who will somehow be different from everyone else, and thats very ambitious. As how the trip back home was peaceful, and nobody was around asking questions they didnt actually want answered. finally, some silence is what i deserve after all that. now its early in the morning i would say, and im home, back to writing again. disappearing for a while and returning just to complain about people is my version of a hobby. could be worse. i could have a normal one. but anyway, im sure someone will try to make sense of this. Good luck with that.

Now im back to the important things, writing nonsense, complaining about everything around me, and pretending that my terrible opinions are somehow valuable observations. Until the next inconvenience decides to introduce itself, i suppose you’ll have to survive my usual collection of thoughts. How unfortunate for you.

Sincerely, Until i get bored again.

The listing could belong to any mid-market software company. There is a tiered pricing table. There is a changelog documenting the latest release, with bug fixes and a note about improved output quality. There is a refund policy, a customer-support handle that answers within hours, and testimonials from satisfied users describing exactly how much money the product helped them make. There is even a free trial. The only detail that does not fit the template of a legitimate software-as-a-service business is the product itself. What is being sold, on a subscription that costs less than a premium music streaming plan, is the ability to defraud strangers at industrial scale, personalised to each victim's job, location, and financial behaviour, generated on demand by a large language model whose safety training has been deliberately stripped away.

This is the shape of a shift that cybersecurity researchers have taken to calling Fraud-as-a-Service, and it is the subject of a July 2026 investigation by the Times of India and the specialist Indian cybercrime outlet The420.in. The investigation documented a fully commercialised ecosystem of criminal AI tools, sold through Telegram channels and dark-web marketplaces under names such as FraudGPT, WormGPT, EvilGPT, and DarkBard, packaged with the exact conveniences that made legitimate cloud software so successful: version updates, service tiers, live support, and an interface requiring no technical skill. The story is not that fraud has become possible. Fraud has always been possible. The story is that the practical barrier to committing sophisticated, personalised, AI-assisted fraud has collapsed to the price of a subscription, and that the people who built the supply chain have organised it to look, feel, and bill exactly like the legitimate technology industry it preys upon.

The important questions follow from that collapse rather than from the mere existence of the tools. If anyone with a payment method and an internet connection can now rent a fraud capability that a few years ago required real expertise and criminal connections, who ends up bearing the cost of that democratisation? And what structural changes to the technical, regulatory, or financial infrastructure would actually interrupt the supply chain, rather than repeating the tired official advice that potential victims should simply be more careful?

A Product History Written on Telegram

The commercial lineage of these tools is unusually well documented for a criminal industry, because it was advertised in public. In July 2023, a threat actor operating under the handle CanadianKingpin12 began promoting FraudGPT across underground forums and Telegram, marketing it as an all-in-one offensive toolkit for writing malicious code, building scam pages, and composing convincing fraudulent messages with, in the seller's phrasing, no boundaries. Netenrich analysts, who first surfaced the listing, reported a price of around 200 dollars per month or roughly 1,700 dollars per year, and a seller claiming several thousand confirmed sales. The same actor advertised a small family of related products, including DarkBERT and DarkBard, the latter a criminal counterpart to Google's Bard chatbot. WormGPT, its better-known sibling, had emerged slightly earlier and was built on an open-source model fine-tuned for business email compromise, the category of attack in which a fraudster impersonates a supplier or executive to redirect a payment.

What distinguishes the 2026 picture from that 2023 debut is maturation. The early tools were crude, expensive, and frequently scams in their own right, with sellers vanishing after taking a subscriber's cryptocurrency. The ecosystem The420.in describes has professionalised. It now offers custom dashboards from which a subscriber can orchestrate campaigns, ingesting parsed consumer datasets and generating thousands of unique phishing emails, texts, and voice-call scripts tailored to a target's profession, geography, and recent transactions. Capability that once had to be built in-house is now rented by the month, maintained by someone else, and delivered through an interface simple enough that the buyer need not understand what happens underneath. The criminal underground did not invent this model. It copied it, faithfully, down to the customer-support ethos.

The pricing reported in the investigation reflects that copying. A basic subscription is said to start at around 20 dollars per month and to include AI-generated phishing templates personalised to the victim, while a tier at around 160 dollars per month is described as bundling deepfake tools capable of defeating the identity checks banks and exchanges use to onboard customers. These figures should be read as reporting from the investigation rather than as independently audited prices, and they sit alongside the higher, historically documented FraudGPT rates. The tools are getting cheaper, easier, and more capable at once, precisely the trajectory that turned software from a specialist craft into a mass-market utility.

What Twenty Dollars Actually Buys

To treat a twenty-dollar phishing subscription as a novelty of the dark web that produces slightly better spam badly understates what has changed, and the misunderstanding matters because it shapes the defensive advice issued in response.

The old defensive folklore held that phishing could be spotted by its tells: clumsy grammar, generic greetings, obvious mismatches between a message and the organisation it claimed to represent. Those tells were artefacts of scale. A fraudster writing in a second language and blasting one template to a hundred thousand addresses produced text a careful reader could catch. Generative models dissolve that trade-off between scale and quality. KnowBe4, examining phishing emails detected between September 2024 and February 2025, found that 82.6 per cent contained AI-generated content, a jump the firm put at more than fifty per cent year on year; its April 2026 research put the figure at 86 per cent. The movement between those two readings is itself evidence of a share still climbing towards saturation rather than one that spiked and settled. The same research finds AI-written lures achieving markedly higher engagement than their human-written predecessors, with native-level grammar, appropriate register, and cultural context on demand. The advice to look for bad spelling is now advice to look for a weakness the attacker has already engineered away.

Personalisation is the second and more consequential capability. A message that references a target's actual employer, job title, city, and a plausible recent transaction is not a marginal improvement on generic spam; it is a different weapon, one that historically required either a skilled operator or a manual research effort that did not scale. The subscription model automates that research and folds it into the generation step, so that each of ten thousand recipients receives a lure calibrated to them individually. The most alarming tier reaches into the machinery of identity itself. Deepfake tools that fabricate a convincing identity-verification video are marketed as a way to defeat the know-your-customer checks meant to stop criminals opening accounts. That turns fraud from an act of persuasion into an act of impersonation at the infrastructure level, letting an attacker manufacture the accounts through which stolen money is received and laundered. The barrier that collapsed was never only the barrier to writing a convincing email. It was the barrier to industrialising every stage of the fraud pipeline, from the first message to the mule account that receives the proceeds.

The Evidence That This Is Cause, Not Coincidence

It is one thing to observe that criminal AI tools exist and that fraud is rising, and quite another to establish that the former is scaling the latter; sceptics reasonably ask whether the tools are hype layered over crime that would have happened anyway. The most rigorous attempt to answer that question is an academic paper catalogued on the arXiv preprint server under the identifier 2505.23733 and titled Unintentional Consequences: Generative AI Use for Cybercrime, whose authors, Truong Jack Luu and Binny M. Samuel, treat the public release of ChatGPT at the end of November 2022 as a natural experiment.

The researchers took two large real-world abuse datasets: more than 464 million malicious IP-address reports from AbuseIPDB, and 281,115 cryptocurrency scam reports from Chainabuse. They then treated the arrival of a powerful, publicly accessible generative model as a shock, and estimated the counterfactual trajectory of reported abuse had the model not been released. They found statistically significant increases in reported malicious activity after the shock across both datasets, including an immediate rise of over 1.12 million weekly malicious IP reports and roughly 722 additional weekly cryptocurrency scam reports, with sustained rather than transient growth in the crypto-scam series. The paper's conceptual contribution is a mechanism rather than a mere correlation. Generative AI, the authors argue, both creates new action possibilities for offenders and magnifies pre-existing malicious intent, by lowering the expertise required and raising the efficiency of each attack. Commoditisation does not create new criminals from nothing so much as it removes the friction that previously kept marginal offenders out and capped the output of committed ones.

Set against the market data, the mechanism becomes legible. Chainalysis, whose annual crypto-crime reports are among the most cited in the field, found that cryptocurrency scams received at least 14 billion dollars on-chain in 2025, up sharply from prior years, and projected the final figure could exceed 17 billion as more illicit addresses are identified. Crucially, the firm reported that scams with on-chain links to AI service providers generated on average about 3.2 million dollars per operation, roughly four and a half times more than scams without such links, and that the average scam payment more than tripled year on year. Europol's Internet Organised Crime Threat Assessment for 2026, published in April under the subtitle The evolving threat landscape: how encryption, proxies and AI are expanding cybercrime, reached a complementary conclusion in plainer language. Cybercriminals no longer need technical skills to succeed, because crime-as-a-service platforms supply everything from stolen data to step-by-step fraud tutorials. What the current edition adds is a measure of tempo: a widening velocity gap between law enforcement and offenders who use AI to automate attacks, personalise scams, and compress the time needed to launch an operation. Europol's word for the shift is industrialisation, and it notes that the dark web's marketplaces and forums have shown remarkable resilience despite sustained enforcement pressure. The commoditisation is not a projection. It is being measured.

The Country Where the Bill Arrived First

If the abstraction of a global fraud supply chain needs a concrete ledger, India provides one, which is why the original investigation is Indian. The country's Ministry of Home Affairs reported that cybercrime cases rose roughly 24 per cent in 2025, with reported losses of about 22,495 crore rupees, roughly 2.7 billion dollars, spread across more than 28 lakh, or 2.8 million, complaints. Investment-related frauds dominated, accounting for around 76 per cent of the total financial loss, with fake trading applications, Ponzi structures, crypto traps, and messaging-group schemes on Telegram and WhatsApp draining accounts within days.

India is an instructive case precisely because it built, faster than almost anywhere, the two conditions that AI-enabled fraud exploits. The first is instant, irrevocable payment. The Unified Payments Interface, the real-time rails that made digital payments ubiquitous across Indian daily life, moves money in seconds, without the settlement delay that elsewhere occasionally gives a defrauded victim or an alert bank a window to intervene. The second is a vast population newly brought online, transacting in dozens of languages, for whom the old visual tells of a scam were never reliable guides in the first place. Personalised, fluent, native-language lures generated by a subscription tool are not a marginal threat in that environment; they are a precision instrument aimed at its softest point. The Indian Cyber Crime Coordination Centre has leaned on the countermeasure available to it, assembling a registry of suspected criminal identifiers shared with banks; lenders contributed millions of suspect identifiers and mule-account flags, helping block fraudulent transactions worth thousands of crore. That is meaningful defensive work. It is also, revealingly, downstream work, aimed at catching the money after the fraud has already been manufactured, because the manufacturing happens on infrastructure that sits well outside any single national regulator's reach.

Where the Losses Actually Land

Who bears the cost of this democratisation has, until recently, had an uncomfortable default answer: the victim, alone. The prevailing model in most jurisdictions treated an authorised push payment, one the account holder was tricked into approving themselves, as the customer's responsibility, on the reasoning that the bank had followed instructions. The fraud, in this framing, was a personal misfortune, and the official response was educational. Be vigilant. Verify before you pay. Hang up and call back.

That default is regressive in a specific and under-examined way. When the cost of a systemic failure is assigned to whoever happened to be standing where it struck, the burden falls hardest on those least able to model the threat, and the data bears this out. The United States Federal Bureau of Investigation's Internet Crime Complaint Center recorded almost 21 billion dollars in reported losses for 2025, a 26 per cent rise on the previous year, across 1,008,597 complaints, the first time the centre has passed a million in a single year. Investment fraud, much of it involving cryptocurrency, remained the largest single loss category at 8.65 billion dollars. It is the distribution beneath those totals that makes the point. People aged sixty and over filed 201,266 complaints and lost 7.7 billion dollars, more than any other age group, their losses up around 59 per cent on 2024 against a 37 per cent rise in their complaint count, which is what happens when each attempt is better aimed rather than merely more numerous. That cohort filed a fifth of all complaints and absorbed 37 per cent of all losses, averaging 38,501 dollars each against an all-ages average of 20,699. The 2025 report also introduced AI-related as a formal crime descriptor for the first time, logging over 22,000 complaints and nearly 900 million dollars in losses. The pattern is the industrialisation thesis made human, and the bureau has now begun to measure it directly. When personalised, fluent, emotionally calibrated fraud can be produced for pennies and aimed at millions, the people it reaches are not a representative cross-section who failed a vigilance test. They are disproportionately the old, the isolated, the financially anxious, and the newly connected, selected because the tooling makes selecting them cheap.

Telling that population to be more careful is not merely inadequate; it is an implicit policy choice about where to place the cost. It leaves the loss with the person who has the least capacity to prevent it and the least ability to absorb it, while asking nothing of the parties that operate the infrastructure through which the fraud flows: the model providers whose systems were bent to the task, the platforms hosting the marketplaces, the payment rails moving the money, and the exchanges converting it into something untraceable. The current answer was never neutral. It was a liability regime that happened to spare the enablers, and it is that regime, rather than the credulity of victims, that the structural interventions worth discussing are designed to rewrite.

Making the Enabler Pay

The most instructive experiment in shifting that liability is British, and it has now been evaluated. On 7 October 2024, the United Kingdom became the first country to impose a mandatory reimbursement requirement for authorised push payment fraud. Under rules set by the Payment Systems Regulator, banks and payment firms must reimburse most victims of APP scams, up to a limit of 85,000 pounds, with the cost split evenly between the institution that sent the payment and the one that received it. By making the receiving bank liable for half of every reimbursement, that fifty-fifty split creates a direct financial incentive for institutions to police the mule accounts through which fraud proceeds are collected, a part of the chain that previously bore almost no consequence for its role.

The logic is the ordinary economics of externalities. When the cost of fraud sits entirely with victims, every other party in the chain has an incentive to shift the risk onward and invest as little as possible in stopping it. Reassign that cost to the institutions best placed to detect and interrupt the flow, and they suddenly have a reason to build the controls they had long treated as optional. The predictable industry objection, that mandatory reimbursement invites opportunistic claims and could even subsidise fraud, has to be managed through carve-outs for first-party fraud and gross negligence.

Until this month, that reasoning had to be taken largely on trust. On 1 July 2026 the Payment Systems Regulator published an independent evaluation of the scheme's first year, and its findings are the empirical payoff for the argument. The policy was estimated to have cut APP fraud losses by 73 million pounds a year and to have reduced the number of APP scams by nearly 35,000, with losses sent over Faster Payments falling around 21 per cent following implementation. Of the money lost to APP scams and claimed back from a payment firm, 88 per cent was returned to victims, against 66 per cent in the equivalent period of 2023/24. Overall reimbursement rates rose from 54 to 65 per cent; for claims within the policy's scope, firms now reimburse 97 per cent, settling around 84 per cent of claims within five days and 97 per cent within 35 days. The predicted surge in opportunistic claiming did not materialise in the first year's evidence. That matters most, because it distinguishes relocating a cost from reducing one: liability moved onto the enablers did not shuffle the bill around the system, it produced measurably less fraud, which is what should happen when the party best placed to prevent something finally becomes the party that pays. The regime continues under new management, HM Treasury's April 2026 package consolidating the Payment Systems Regulator into the Financial Conduct Authority.

That reimbursement mandate did not arrive alone, and its companion measure illustrates how liability and technical control reinforce one another. Confirmation of Payee, the account-name-checking service Britain required its largest banks to adopt from 2020, now covers well over ninety-nine per cent of Faster Payments and CHAPS transactions after successive expansions, according to the regulator. It verifies, before a payment is sent, that the name on the destination account matches the name the payer believes they are paying, closing off a category of impersonation on which many scams depend. On its own, a name check is easily circumvented by a determined criminal. Paired with a reimbursement rule that gives banks a reason to act on the signals it produces, it becomes part of a system in which the enablers, rather than the victims, carry the cost of failure and therefore have a reason to prevent it.

Choking the Money at the Off-Ramp

Liability rules interrupt the fraud where it touches the regulated banking system. A great deal of it, however, is designed precisely to avoid that system, routing proceeds through cryptocurrency, and especially through stablecoins, the dollar-pegged tokens that have become the preferred settlement layer of online crime. Chainalysis has reported that stablecoins now account for the majority of illicit on-chain value, which makes the mechanisms for controlling them a second, distinct chokepoint in the supply chain, and one with a surprising property: some stablecoins can be frozen at the point of issuance.

The clearest demonstration is the T3 Financial Crime Unit, a partnership launched in September 2024 between the stablecoin issuer Tether, the TRON blockchain network, and the blockchain-analytics firm TRM Labs. Because Tether can freeze its own tokens at the issuer level, a flagged wallet can be immobilised on-chain, in a way that has no equivalent in the cash economy. The unit has frozen more than 450 million dollars in illicit crypto since its launch, a figure Tether reconfirmed in May 2026, working with law enforcement across 23 jurisdictions and, in some cases, executing freezes within 24 hours of a request; it intercepted 43.9 per cent more illicit proceeds in 2025 than in the year before. The Financial Action Task Force, which sets global anti-money-laundering standards, has cited the arrangement as a model of public-private disruption. The same capability that privacy advocates rightly find troubling, a private issuer able to freeze funds on demand, is also the single most effective lever yet demonstrated for stopping fraud proceeds mid-flight.

The more durable structural intervention sits at the conversion points, the on-ramps and off-ramps where crypto meets conventional money. Fraud proceeds are only useful once converted into spendable currency, and that conversion overwhelmingly happens at exchanges, which are increasingly regulated financial institutions subject to know-your-customer and anti-money-laundering obligations. Rigorously enforced identity checks at those chokepoints do more to interrupt the supply chain than any amount of consumer education, because they attack the economics of the enterprise: fraud that cannot be cashed out is fraud that does not pay. This is why the deepfake KYC-bypass tier matters so much. Criminals are investing in defeating identity verification precisely because it is one of the few controls that genuinely threatens their business model, and that investment is itself confirmation that the chokepoint works.

The Fight Over the Model Layer

Upstream of the money sits the capability itself, the model that writes the lure and fabricates the verification video, and this is where interventions are least mature and most contested. The uncomfortable fact is that the tools sold under names such as WormGPT are frequently not exotic bespoke systems but ordinary open or leaked models with their safety training removed, wrapped in a friendly interface. That makes the model layer a genuine point of leverage and a genuinely hard problem at once.

For the major commercial providers, the relevant control is the robustness of guardrails against jailbreaking, the practice of coaxing a model into producing content its policies forbid. Every serious frontier developer now invests heavily in refusal training and adversarial testing, and the effectiveness of that work determines whether a criminal can simply use a mainstream model rather than a specialist criminal one. But guardrails on hosted models do nothing about the parallel ecosystem of open-weight models that can be downloaded, fine-tuned, and stripped of safety behaviour on a subscriber's own hardware, outside any provider's control. That is the unresolved tension at the centre of AI governance: the same openness that democratises beneficial capability also democratises the criminal kind, and no purely technical fix reconciles the two.

The intervention with the most regulatory momentum targets output rather than the model, through provenance. The Coalition for Content Provenance and Authenticity, an open standard backed by Adobe, Microsoft, the BBC, and others, attaches cryptographically signed metadata to a media file, recording who created it, with what tools, and whether AI was involved, a tamper-evident record known as Content Credentials. The European Union has given the approach legal teeth. Under Article 50 of its AI Act, whose transparency obligations become applicable from 2 August 2026, deployers who use AI to create deepfakes must disclose that the content is artificially generated, and the Commission's draft Code of Practice explicitly points to C2PA-style marking as the mechanism. That date survived a deregulatory round. The Digital Omnibus on AI, adopted by the European Parliament on 16 June 2026 and by the Council on 29 June, postponed the Act's high-risk obligations, pushing Annex III to 2 December 2027 and Annex I to 2 August 2028, but left the Article 50 transparency duties on their original timetable. The one exception is narrow: the watermarking and machine-readable-marking requirement under Article 50(2) applies from 2 December 2026 for systems already on the market at 2 August 2026. Deepfake disclosure and provenance marking, in other words, were among the few duties judged too important to delay.

The limitations are equally clear. Provenance is a voluntary declaration that a criminal will simply decline to make, watermarks can be degraded, and social platforms routinely strip metadata on upload. A provenance standard does not stop a fraudster generating a fake KYC video. What it does, if adoption becomes widespread, is invert the default, allowing verification systems to treat unsigned or unverifiable media with suspicion rather than credulity, which raises the cost and lowers the yield of synthetic impersonation. That is a supply-chain intervention, aimed at the value the tool produces rather than at scolding the person it targets.

The Platform That Blinked

Between the model and the money sits distribution, and for the Fraud-as-a-Service economy the channel of choice has been Telegram, whose encrypted messaging, large public channels, and long-standing reluctance to moderate made it an ideal marketplace. What happened to that channel is the clearest illustration that platform behaviour is a policy variable rather than a fixed feature of the internet.

In August 2024, French authorities arrested Telegram's co-founder Pavel Durov at an airport near Paris and subsequently indicted him on charges that included complicity in the distribution of illegal content and in organised criminal activity conducted through the platform, on the theory that its refusal to cooperate had made it a haven for fraud and worse. The investigation remains open as of July 2026, with no trial date set, Durov questioned for a fourth time this month and still rejecting the charges. Whatever the eventual legal outcome, the operational effect was immediate. Within weeks, Telegram revised its policy to state that it would hand over users' IP addresses and phone numbers to authorities in response to valid legal requests, extending cooperation from the narrow category of terrorism to fraud and other cybercrime. Reporting on the platform's transparency data showed fulfilled law-enforcement requests rising steeply in the months that followed. A platform that had positioned non-cooperation as a principle discovered, under sufficient legal pressure on an individual, that cooperation was possible after all.

The marketplaces on which criminal tools are sold are not forces of nature; they are operated by identifiable entities that respond to incentives, and the incentives can be changed. Coordinated takedowns of dark-web markets impose real if temporary costs, fragmenting communities and eroding the trust on which any marketplace depends. Europol's finding that those marketplaces have nonetheless proved remarkably resilient is the honest qualifier: the costs are real, and they are also absorbed. Sustained legal pressure on the platforms that knowingly host criminal commerce, and on the intermediaries that process payments for them, attacks the distribution layer of the supply chain directly. None of this eliminates the underground. It raises the friction, and friction, restored to a system that has spent a decade removing it, is precisely the point.

Interrupting a Supply Chain Rather Than Scolding Its Victims

Assemble the parts and a picture emerges very different from the individualised, be-careful framing that has dominated the public response to fraud. What the Times of India investigation described is not a wave of cleverer criminals but a supply chain, with distinct and separable stages: a model layer that manufactures the capability, a distribution layer that sells it, a targeting layer that finds and personalises the victims, and a settlement layer that collects and launders the proceeds. Each stage has a chokepoint. Each chokepoint has at least one demonstrated intervention. And every one of those interventions places the cost of prevention on an enabler with the leverage to act, rather than on a victim with none.

Seen this way, the choice a society faces is not between accepting fraud and achieving the impossible task of making millions of individuals immune to personalised deception. It is a choice about where in the chain to concentrate pressure. The British reimbursement mandate, with a first-year evaluation now behind it, demonstrates that liability can be relocated onto financial institutions, that they respond by building controls, and that the fraud itself measurably falls as a result. The T3 freezing mechanism and exchange-level identity checks demonstrate that the settlement layer can be squeezed, which is why criminals are paying to defeat it. The EU AI Act's provenance requirements demonstrate that the output of the tools can be made costlier to weaponise. The pressure applied to Telegram demonstrates that the distribution layer bends when the legal cost of hosting crime rises high enough. None of these is sufficient alone. Fraud will migrate to whichever stage is left unguarded, which is why a piecemeal, single-lever response fails and why the interventions have to be understood as a system answering a system.

The deeper point is one about honesty in assigning cost. For as long as the losses from AI-enabled fraud are treated as the private misfortune of the people unlucky enough to be targeted, the enablers face no bill and therefore build no defences, and the externality flows downhill to the old, the isolated, and the newly connected. The technologies that could interrupt the supply chain already exist and are, in places, already working. What has been missing is the decision to make the parties who profit from the infrastructure carry the cost of its abuse, rather than leaving that cost with whoever happened to open the message. A subscription that turns anyone into a fraudster is a market signal. It says the friction that once protected people has been engineered out, deliberately and for profit. Restoring that friction, at the model, the marketplace, the payment rail, and the off-ramp, is the work. Advising the target to be more careful is what a society does instead of the work.

References and Sources

1. The420.in, “Renting the Exploits: How Fraud-as-a-Service Platforms Turned Digital Crime Into a Subscription Business,” July 2026. https://the420.in/fraud-as-a-service-cybercrime-subscription-business-ai-phishing/
2. The420.in, “Fraud at the Speed of UPI: How AI Is Supercharging India's Cybercrime Boom,” 2026. https://the420.in/ai-fraud-real-time-digital-payments-india-cybercrime/
3. Netenrich / SecureOps, “FraudGPT: The Villain Avatar of ChatGPT,” 2023. https://www.secureops.com/blog/ai-attacks-fraudgpt
4. Dark Reading, “'FraudGPT' Malicious Chatbot Now for Sale on Dark Web,” 2023. https://www.darkreading.com/threat-intelligence/fraudgpt-malicious-chatbot-for-sale-dark-web
5. Huntress, “What Is WormGPT?” Cybersecurity 101. https://www.huntress.com/cybersecurity-101/topic/wormgpt
6. KnowBe4, “KnowBe4 Research Finds 86% of Phishing Attacks are AI Driven,” April 2026. https://www.knowbe4.com/press/knowbe4-research-finds-86-of-phishing-attacks-are-ai-driven
7. Truong Jack Luu and Binny M. Samuel, “Unintentional Consequences: Generative AI Use for Cybercrime,” arXiv preprint 2505.23733, revised December 2025. https://arxiv.org/abs/2505.23733
8. Chainalysis, “2026 Crypto Crime Report: Scams,” 2026. https://www.chainalysis.com/blog/crypto-scams-2026/
9. Infosecurity Magazine, “Impersonation Fraud Drives Record $17bn in Crypto Losses,” 2026. https://www.infosecurity-magazine.com/news/impersonation-fraud-record-17bn/
10. Europol, “Internet Organised Crime Threat Assessment (IOCTA) 2026 — The evolving threat landscape: how encryption, proxies and AI are expanding cybercrime,” 28 April 2026. https://www.europol.europa.eu/cms/sites/default/files/documents/IOCTA-2026.pdf
11. The Print, “Cybercrime saw 24% spike in 2025. Indians lost Rs 22,495 crore, mainly in investment scams,” 2026. https://theprint.in/india/cybercrime-saw-24-spike-in-2025-indians-lost-rs-22495-crore-mainly-in-investment-scams/2859930/
12. Insights on India, “Cybercrime in India 2025: 24% Spike, ₹22,495 Crore Lost,” 21 February 2026. https://www.insightsonindia.com/2026/02/21/cybercrime-in-india/
13. Federal Bureau of Investigation, “Cryptocurrency and AI Scams Bilk Americans of Billions” (2025 IC3 Annual Report), April 2026. https://www.fbi.gov/news/press-releases/cryptocurrency-and-ai-scams-bilk-americans-of-billions
14. Internet Crime Complaint Center, “2025 IC3 Annual Report” (PDF). https://www.ic3.gov/AnnualReport/Reports/2025_IC3Report.pdf
15. Payment Systems Regulator, “Consolidated policy statement: APP scams reimbursement requirement (PS25/5),” May 2025. https://www.psr.org.uk/media/rhelv4op/ps25-5-app-scams-reimbursement-consolidated-policy-statement-may-2025.pdf
16. Payment Systems Regulator, “One year on: Impact of APP reimbursement on victims,” 1 July 2026. https://www.psr.org.uk/news-and-updates/latest-news/news/one-year-on-impact-of-app-reimbursement-on-victims/
17. A&O Shearman, “The UK's Authorised Push Payment (APP) Fraud Reimbursement Scheme.” https://www.aoshearman.com/en/insights/ao-shearman-on-fintech-and-digital-assets/the-uks-authorised-push-payment-app-fraud-reimbursement-scheme
18. Payment Systems Regulator, “Anti-fraud tool Confirmation of Payee expanded to hundreds of more firms.” https://www.psr.org.uk/news-and-updates/latest-news/news/anti-fraud-tool-confirmation-of-payee-expanded-to-hundreds-of-more-firms/
19. TRM Labs, “T3 Financial Crime Unit: A Model for Public-private Disruption in the Age of Stablecoins.” https://www.trmlabs.com/resources/blog/t3-financial-crime-unit-a-model-for-public-private-disruption-in-the-age-of-stablecoins
20. Tether, “$450 Million Frozen And Counting: T3 Financial Crime Unit Continues Global Crackdown on Illicit Crypto Flows.” https://tether.io/news/450-million-frozen-and-counting-t3-financial-crime-unit-continues-global-crackdown-on-illicit-crypto-flows/
21. European Union, “Article 50: Transparency Obligations for Providers and Deployers of Certain AI Systems,” EU AI Act. https://artificialintelligenceact.eu/article/50/
22. Greenberg Traurig LLP, “Deepfakes, Chatbots, AI-Generated Text: European Commission Details Transparency Obligations Under the AI Act,” June 2026. https://www.gtlaw.com/en/insights/2026/6/deepfakes-chatbots-ai-generated-text-european-commission-details-transparency-obligations-under-the-ai-act
23. Coalition for Content Provenance and Authenticity, “C2PA and Content Credentials Explainer 2.2,” 22 April 2025. https://spec.c2pa.org/specifications/specifications/2.2/explainer/_attachments/Explainer.pdf
24. Wikipedia, “Arrest and indictment of Pavel Durov,” 2024. https://en.wikipedia.org/wiki/Arrest_and_indictment_of_Pavel_Durov
25. Dark Reading, “Sharing of Telegram User Data Surges After CEO Arrest,” 2025. https://www.darkreading.com/cybersecurity-operations/sharing-telegram-user-data-surged-after-ceo-arrest

---

Tim Green UK-based Systems Theorist & Independent Technology Writer

Tim explores the intersections of artificial intelligence, decentralised cognition, and posthuman ethics. His work, published at smarterarticles.co.uk, challenges dominant narratives of technological progress while proposing interdisciplinary frameworks for collective intelligence and digital stewardship.

His writing has been featured on Ground News and shared by independent researchers across both academic and technological communities.

ORCID: 0009-0002-0156-9795 Email: tim@smarterarticles.co.uk

Listen to the free weekly SmarterArticles Podcast

Taking my time with you

The memory of you is still so vivid, clinging to me like warmth on skin. Your body feels so incredibly soft beneath my hands, contrasting with that raw, sharp trace of gasoline in the air. I can still taste you, every slow, deliberate movement lingering as my tongue circles your nipples, taking my time with you. Every touch is magnified, every breath is heavy, and the sensual charge between us feels impossibly real. I carry the electric heat of you with me long after we part.

Why do I keep going back to Valdez

When I look at Valdez, I see the place where my heart woke up after so long. The first time I came here, I was anxious and insecure, chasing happiness with a drink and feeling the unspoken pull toward someone who would become so deeply special to me. Back then, my friend Alan, a pro ski guide here, told me how he used to chase happiness with alcohol until sobriety finally brought him real peace. Now, standing among these massive, breathtaking peaks completely clean, everything feels so much more real. Loving this person without the fog of alcohol isn't about hiding anymore; it's about being fully present for every deep, raw emotion.

​I keep wanting to go back because Valdez is where I get to test my wings. It's the place where my old, anxious self surrendered, and now I want to experience every inch of it with my eyes wide open and a clear mind. The mountains are bigger, my heart is wider, and the air just feels different when you aren't running from yourself.

Going back isn't about chasing a ghost or repeating the past, it's about standing in the place that once overwhelmed me, completely grounded, and claiming the real, beautiful life I'm building.

Querido diario,

Hoy es lunes, el 27 de junio de 2026. Son las 2:15 de la mañana y sé que debo estar dormida, pero ya no puedo. El verano entero lo pasó igual. No tengo un horario de sueño, pero necesito uno en este punto de mi vida. No me gusta sentirme cansada, agotada y aburrida. No tengo la palabra para “dull”, pero cuando escribí la palabra en inglés se tradujo a “aburrida”.

Bueno, necesito un horario fijo en el que pueda despertarme, levantarme, trabajar y acostarme a la misma hora todos los días laborales. Es lo que necesito, pero no es lo que alcanzaré porque los hábitos que he estado desarrollando son muy distintos y arraigados. No, no es imposible quitarlos.

Tengo una mente que nunca deja de pensar. En este punto no estoy segura de si ya puedo cambiar el hecho. Verdaderamente, no creo que ya quiera cambiar este. Soy yo, ¿sí? Bueno, esta entrada probablemente no tiene sentido y está bien. ¡Buenas noches, mundo!

In Summary: * A quiet Monday winds down. I stuck to the one chore that I've relegated to Mondays, doing my personal laundry. And having that chore completed now, I allow myself a certain amount of satisfaction.

The Texas Rangers winning their MLB game this afternoon against the Seattle Mariners was satisfying, too. The Rangers' next three games, all against the Tampa Bay Rays, have early start times and that will make scheduling my chores easy for the week ahead. Nice.

Prayers, etc.: * I have a daily prayer regimen I try to follow throughout the day from early morning, as soon as I roll out of bed, until head hits pillow at night.

Health Metrics: * bw= 229.83 lbs. * bp= 132/77 (65)

Exercise: * morning stretches, balance exercises, kegel pelvic floor exercises, half squats, calf raises, wall push-ups, BP breathing exercises, pilates

Diet: * 05:10 – 1 banana * 06:05 – pan du sol * 07:25 – 1 ham and cheese sandwich * 09:10 – fried chicken * 15:20 – peanut butter, fresh apple slices, saltine crackers * 16:00 – dish of ice cream

Activities, Chores, etc.: * 04:00 – listen to local news talk radio * 04:50 – bank accounts activity monitored. * 05:20 – read, write, pray, follow news reports from various sources, surf the socials, nap * 08:30 – started my weekly laundry * 08:55 – place grocery delivery order * 12:15 – follow news reports from various sources, surf the socials while folding laundry * 12:45 – tuned into 105.3 The Fan, DFW's #1 Sports Station, ahead of this afternoon's Rangers vs Mariners MLB game. I plan to stay here for the radio-call of the game. * 16:05 – The Rangers win this game, 7 to 3, and win this 4-game series, 3 games to 1. * 17:00 – watching The 45-47 Revelation: Derek Johnson on Declassification, PEADs, and the End of the Deep State

Chess: * 13:19- moved in all pending CC games

Why do I keep going back to Valdez

When I look at Valdez, I see the place where my heart woke up after so long. The first time I came here, I was anxious and insecure, chasing happiness with a drink and feeling the unspoken pull toward someone who would become so deeply special to me. Back then, my friend Alan, a pro ski guide here, told me how he used to chase happiness with alcohol until sobriety finally brought him real peace. Now, standing among these massive, breathtaking peaks completely clean, everything feels so much more real. Loving this person without the fog of alcohol isn't about hiding anymore; it's about being fully present for every deep, raw emotion.

​I keep wanting to go back because Valdez is where I get to test my wings. It's the place where my old, anxious self surrendered, and now I want to experience every inch of it with my eyes wide open and a clear mind. The mountains are bigger, my heart is wider, and the air just feels different when you aren't running from yourself.

Going back isn't about chasing a ghost or repeating the past, it's about standing in the place that once overwhelmed me, completely grounded, and claiming the real, beautiful life I'm building.

Every problem deserves to be shared.

What if problems aren't something to hide or solve as quickly as possible? What if they are something worth collecting, sharing, discussing – and even celebrating?

This is the question behind PROBLEMZINE, the first collaborative hyper-fanzine published by O.U.R. COOP – International Social Cooperative of Artists.

We believe that problems are not obstacles – they are resources. They carry experiences, knowledge, vulnerability, resistance, humor, and the potential to connect people. Whether personal, collective, or societal, every problem contains value. Through art, we want to uncover that value, make it visible, and open it up for discussion.

This zine is for everyone who thinks they're the only ones with problems.

Join us on this journey and you'll discover that things can always get worse... or better.

Get your copy while it’s still hot!!!

PROBLEMZINE is more than a publication – it's an ongoing collaborative experiment.

The zine is published twice a year, and every issue depends on the collective effort of artists, writers, designers, editors, organisers, volunteers, and supporters who believe that independent artistic publishing deserves to exist.

Become a O.U.R. COOP PATREON MEMBER you will directly support:

• the production of future print and digital editions;
• fair compensation for the artists and contributors involved;
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Share your problem

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Quote by the very deep Carl Sagan

https://youtu.be/I4eeqpTUCYA

One man's wisdom benefits us all if we can recall it.

Converting to Orthodox Judaism is one of the most intense things one can do. There are many different situations, and exceptions. What I will share is a short overview because I could write much more on this topic.

Let me start with the most important thing which is being generally liked by the community,

This means that you do not form a threat in any kind of way to the community. This might sound obvious but I am also talking about people that are a financial or emotional liability. What this means is that, beyond studying Judaism, you will also have to ‘play’ the social, religious, and political game within the Orthodox community. If you are able to get the support of the most important people within the community (this includes the rabbi) then you are generally speaking good to go. If on the other hand the most important people within the community don’t like you then you might never do the giyur (conversion) with that community, or in that country/region.

This means you need to be able to network and be social with all people no matter how they think or act. You need to be a politician. Therefore, my advice is to read books like: “How to Win Friends and Influence People” by Dale Carnegie. This might sound strange but it can save you years on the conversion process. Additionally, it would be useful to go from time to time to other Jewish communities to network with people there. Remember that you should always dress like an Orthodox Jew but not like a Chasidic Jew when you are not yet jewish yourself (most people find it too ‘fake’ when you haven't converted yet). Sometimes it can be the case that the conversion process is taking too long (over 3 years) and this is where your ‘friends’ from your network can help you out. Communal pressure on a rabbi does have an impact from time to time. And if they are being too unrealistic or too demanding then you might move to a different community (one where you already know people).

It takes a lot of money to convert. You will need to live close to the synagogue (walking distance). You need to have a job which allows you to be shomer shabbat (keep shabbat laws). The problem is that most, if not all, synagogues are located in the city center where the rent is extremely high. Kosher food is also very expensive. Before you start the conversion process you should calculate the cost of living as if you were Jewish already. On top of that you should try to keep shabbat during the winter time (dark very early in some places) to see how it will impact your work.

There are many people that claim to be Jewish but that they can’t prove it. This doesn’t matter at all to Orthodox Jews. If you can't prove it then you will need to convert. Sometimes it is easier to convert if your dead is Jewish or if you have a grandparent that is Jewish. But you still need to convert if you can’t prove that your mother is Jewish. I heard so many stories from converts that have all kinds of different claims. 99% of these claims are wishful thinking. If they do a DNA test then most of them have 0% ashkenazi or sephardi DNA matches. This is totally fine, but please don’t fool yourself. On the other hand such stories might sell very well to the Jewish community. For practical (political) purposes you might want to fabricate such a story like: “My grandfather always respected the Jewish community and lit a candle on Friday evening”. This instills the potential idea that your grandfather might have been Jewish and that you are a” lost Jewish soul”. If they ask you if he was Jewish then you simply reply: “I don’t think so”.

Creating a deadline and boundaries are a must. Do not let this process continue for over 5 years. Also have in mind how much money you can spend on this and keep track of everything you spend. This also includes opportunity cost (You could have spent X amount of money on something else if it was not for the conversion process). An acquaintance of mine left a very well paying job (over 150k a year) to become Jewish. These are difficult decisions to make for a person but you are the one that has to set boundaries.

If you are married then they will ask you simply: “will your spouse also convert?/ live religiously (if he/she is already Jewish)”. If the answer is “No” from your end then they will not convert you. However, there are special routes for cases where the husband or wife is Jewish. They generally speaking will make it easier for you (if your Jewish husband/wife is willing to become orthodox).

#OrthodoxJudaism #OrthodoxConversion #ConversionToJudaism #Giyur #Judaism #JewishConversion #JewishCommunity #OrthodoxJewishCommunity #JewishLife #Halacha #ReligiousConversion

Before any new posts go up, a housekeeping one. This project has been running for a few years now, and the research has progressed. Some of what I wrote in the early posts is no longer accurate. Most corrections already appear as a short note next to the passage they fix, on the original post. A few had not been marked. Below is the full list, gathered in one place.

The Count's biography

In Impressions of Contemporaries, I gave Voltaire's real name as “Francois M Aroute.” The correct spelling is Arouet, François-Marie Arouet. This was a plain typo that went uncorrected for three years.

In Who was the Count of St. Germain?, I wrote, “To reveal a minor mystery, his given name was Leopold.” This was stated as settled fact. It is not. The claim comes from the Rákóczi theory, that he was a son of the Transylvanian prince Ferenc II Rákóczi, and it is one candidate among several, none of them confirmed by the Count himself. He is reported to have hinted at his real origins to the Markgraf of Ansbach, privately, but nothing survives in his own hand. No one actually knows what name he was born with.

Stanislas de Guaita's dates, given in The many manuscripts, were also wrong. I wrote 1860 to 1898. The correct dates are 1861 to 1897. The wrong figure traces back to Barrès's 1898 memorial volume rather than to Guaita's own record. This one already carries a correction note on the post.

The provenance of MS 209

Three more corrections belong to that same post.

“Frank Hollings, a 20th century London writer and antiquary” is not a person. It is a shop, a bookshop on Great Turnstile opened in 1892 by James Francis Hollings Shepherd, who named it after a family friend. After Shepherd's death it was run by William Edward Redway, whose name is the one that actually appears on the letterhead of the sale slip bound into the Getty MS 209 file. The shop survived the Blitz, moved twice, and was eventually sold to Bertram Rota Ltd in 1969. No person named Frank Hollings ever held this manuscript. Wherever “Hollings” appears in the ownership chain from here on, it refers to the firm, not a man.

The ownership chain itself, Favre, then Guaita, then “a certain Madame Barbe of Paris,” then Hollings, was presented as settled history. It is not. Every link after Guaita rests on a single undated sales slip from that shop, written no earlier than the 1930s. The same paragraph that names Favre and Barbe also invents a story about the Count running a “lodge of occult masonry” with Cagliostro as his pupil, a claim with no basis anywhere else. Since writing this, I have confirmed that a real Favre library sale took place, in Sèvres on 15 and 16 March 1896, and that occult material did pass from Favre's circle into Guaita's library around that time, but as a recorded gift rather than a purchase, and with nothing tying it to this specific book. “Madame Barbe” has no trace anywhere I have been able to find. Favre-owned material reaching Guaita by some route is plausible. The exact chain the slip describes is not proven.

On the Wellcome transcription, I wrote that the translation “was carried out for 'Mr. Potier.'” The document's own header says otherwise: prêté par M. Potier, lent by M. Potier. This makes him the owner who lent his copy to be copied, not the person who commissioned the work.

The cipher key

Ciphers & Keys describes the key's gaps, a symbol never filled in for K, no entry at all for W, corrections from “per” to “nom” and from “etc.” to “et,” and concludes that whoever kept the key “did not understand the words they were translating/deciphering.” That conclusion does not hold up. The gaps look much more like an inherited, general purpose cipher kit than a record of confusion, carrying spare letterforms the Book itself never needed. What the key is missing or doubles up on is still accurately described. What I decided that meant is not.

The same post also treats three cipher keys, the two bound into the manuscripts and the Wellcome key, as roughly equal witnesses “from different sources.” They are not equal in age. The two manuscript keys were made alongside the books themselves. The Wellcome key is a solver's own working reconstruction from around 1920, written on older paper stock but not from the period.

The Latin preface and the spirit count

Latin Preface, John King's post, builds a decoding wheel argument on there being 21 spirits named in the invocation. There are not. Counted directly from the manuscript, the four quarters give 5, 6, 3, and 3 spirits, seventeen in total, not twenty-one. The number 21 only appears once names absent from the manuscript, restored in brackets by the published English translation, are added in. The decoding wheel idea was offered as speculation at the time and remains unsupported. No ring, no index, no moving part of any kind appears anywhere in the figures. But the count behind the argument was simply wrong, regardless of what anyone makes of the wheel itself.

The magic circle

Two corrections apply across three posts about the ritual circle: The Circle, The Circle, part two, and The Circle, part three.

I described the east and west devices on the circle as “symbols of hearts with flames.” Under magnification, they are not. Each is a stem with a pair of small leaves, the same leafy flourish used elsewhere in the text as a line filler, arranged so that the outline reads as a heart. They are ornamental flourishes with a heart shaped terminal leaf, not a devotional or flaming heart. Part two and part three both already carry a note on the corner letter question below. This one had gone unmarked until now.

The corner letters themselves were also wrong. I originally read the triangle's three corners as V, P, and T, and in part two noted that P, T, and V are the 16th, 20th, and 22nd letters of the French alphabet, offered as a possible key to their meaning. Neither reading holds up. Re-examined at full resolution, both manuscripts write the third corner as an s, not a t, in the same double loop form the key uses for s elsewhere. The corners read P, V, S, and read that way they spell out, apex first, “Prolonger (ma) Vie Saine,” the Book's own stated goal, in its own words, rather than an alchemical formula. The alphabet position numbering does not fit either reading and should be dropped.

One more correction, also from part two. I quoted the circle's promise that it “will also give you the full understanding of that which is written in my revelation,” and read this as the author claiming direct authorship rather than compilation. That reading leans on a looser translation than the French supports. The line reads l'intelligence du caractère dont est écrit ma révélation, understanding of the character, or script, in which the revelation is written, not understanding of its content. It is a promise about being able to read the cipher, not a claim about who wrote the words.

The Winged Dragon

The Emblem of a Winged Dragon, also John King's, builds an argument from the ink colors of the ASIA acrostic (Alpha-Omega, Sabaoth, Izra, Akorab). The names are described as “all in black ink,” with AGLA also black, and the post suggests that reading AGLA as a stand in for the letter U might indicate the five vowels. The colors are wrong. AGLA is written in red, not black, and the “all black” impression came from faded pigment in one of the two manuscripts rather than a real pattern shared by both. The vowel argument depends on this and does not survive it. The acrostic itself, that the four names' initials spell ASIA, is unaffected and still stands. It is the color argument built on top of it that does not.

The Tea of Immortality

The Tea of Immortality presents the herbal recipe as something the Count himself “recommended to all those who sought this precious gift of long life.” This states the attribution more plainly than the evidence allows. The recipe's proportions are essentially correct: they match, part for part, a real 19th century pharmacy formula sold under the name Species Laxantes St. Germain. What is not established is the direction of the naming. No contemporary witness records a formula from the Count himself, only that he purged himself with self prepared senna, and that the resulting powder tasted of aniseed. Pharmacy formularies of the period are full of preparations named for saints and places that had nothing to do with them, and Saint-Germain is both a common Paris place name and a saint's name. Either the recipe preserves the Count's own formula, or a pre-existing senna laxative already carrying the name was attached to him later. At the moment, there is no way to tell which.

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That is the list. Corrections from here will be pinned to the post they belong to, as before. This one exists to catch what the notes had missed. If you have been reading since 2023, this is what has changed since that time from research and contemplation.