Tax season 2026 arrived with a peculiar new ritual. Across kitchen tables and home offices, millions of filers uploaded W-2s, 1099s, and brokerage statements not to a human accountant, but to an algorithmic system promising speed, savings, and superior accuracy. The pitch was irresistible: why pay thousands for a professional when an AI agent can ingest your financial life, cross-reference the tax code, and spit out an optimised return in minutes?

One early adopter, Mike Todasco, documented the experiment on his Substack in vivid detail. He pointed OpenAI's Codex at a folder of tax documents, fed it a master prompt, and waited. Three hours and roughly twenty dollars later, the system had processed his return, a task that would have cost him around ten thousand dollars with his usual accountant. The post went viral. The implication was unmistakable: the AI tax revolution had arrived, and it was cheap.

But here is the question nobody racing to upload their documents seems to be asking. When the algorithm gets it wrong, and the evidence suggests it will, who exactly picks up the bill?

The Allure of the Algorithmic Accountant

The shift from tax software to tax agents is one of the defining themes of the 2026 filing season. Having AI “do” your taxes now means deploying large language models and agentic AI systems that pull data from financial institutions, read blurry 1099-K photographs using optical character recognition, categorise thousands of Venmo transactions, reconcile brokerage statements, and surface recent changes in tax law. Intuit, the company behind TurboTax, has gone all in on what it calls “done-for-you” experiences. Its AI engine, Intuit Assist, uses both traditional and generative AI to provide personalised recommendations, flag potential errors in real time, and even deploy a specialised agent, the “1099 Cost Agent,” that can ingest supplemental PDF forms and reason through stock sales to identify the correct cost basis.

Intuit announced in early 2026 that it had paired advanced agentic AI with a nationwide network of 13,000 human experts, creating what it describes as the only all-in-one consumer platform for year-round personal finance management. Credit Karma's Tax Assistant, another Intuit product, claims that members with simple tax situations who answer quick questions throughout the year can have up to 80 per cent of their Tax Year 2025 returns ready to go by filing time. TurboTax Live Assisted is marketed as “the only tax filing solution on the market that provides customers an expert final review at no added cost, ensuring 100 percent accuracy and maximum refund guaranteed.” That guarantee, notably, applies to the human-reviewed product, not to the AI outputs alone.

The competition is just as aggressive. H&R Block launched AI Tax Assist, a product designed to streamline preparation for individuals, the self-employed, and small-business owners. Newer entrants like Hive Tax AI can pull in years of past financial data, automatically organise transactions, and help identify missed deductions. TaxGPT markets itself as an AI tax assistant for individuals, promising to simplify the filing process through conversational interfaces. The message from every corner of the industry is the same: the machines are ready.

Yet the machines, it turns out, are not nearly as ready as the marketing suggests.

When the Maths Does Not Add Up

In early 2025, The New York Times conducted a test that should give every aspiring AI tax filer pause. Reporters ran eight fictional tax scenarios, developed in partnership with tax-filing service TaxSlayer, through four leading AI chatbots: Google's Gemini, OpenAI's ChatGPT, Anthropic's Claude, and xAI's Grok. The chatbots were provided with all necessary forms. The result was sobering. On average, the tools miscalculated the refund or amount owed to the IRS by more than two thousand dollars.

The Times attributed the failures to a fundamental design limitation: AI chatbots do not truly understand the complex relationships among the pieces of information they process, and errors accumulate as tasks become more interconnected. Benedict Evans, a prominent technology analyst, told the newspaper that “the problem with taxes is all those very small little details matter, and it's not going to get every single little detail right.” He acknowledged that the models improve dramatically every six months, but added that they still only give “roughly the right answer,” which is not sufficient for taxes.

The nature of these failures matters as much as their frequency. Large language models are probabilistic systems. They generate outputs based on statistical patterns in their training data, not by executing deterministic calculations. This means that the same input can produce different outputs on different runs, a characteristic that is fundamentally incompatible with the precision required in tax preparation. As multiple experts have noted, the results are “unexplainable” in the formal sense: you cannot go back and audit the reasoning chain the way you can with traditional tax software, where every calculation is traceable to a specific rule in the code.

Independent benchmarking has confirmed the scale of the problem. TaxCalcBench, a rigorous evaluation framework created by Column Tax and published on arXiv in July 2025, tested frontier models on their ability to calculate personal income tax returns. The benchmark uses 51 test cases representing a range of personal tax situations, and a return is considered “correct” only if every evaluated field matches the expected value exactly, reflecting the IRS's own standard. The results were stark. Gemini 2.5 Pro, the best-performing standalone model, achieved just 32.4 per cent strict accuracy. Claude Opus 4 managed 27.5 per cent. GPT-5 reached 41.7 per cent. Common failure modes included consistent misuse of tax tables, errors in tax calculation, and incorrect eligibility determinations.

Even Filed, a company using a multi-agent architecture with validation layers, only achieved 72.5 per cent strict accuracy on complete federal returns, though it reached 94 per cent on a line-by-line basis. Patrick McKenzie, the well-known fintech commentator, has cited 2026 to 2028 as the AI industry's consensus window for when large language models might genuinely be able to “do taxes.” Column Tax itself concluded that the task is likely not automated by the end of 2026, and that achieving it will require strong tax domain expertise and proprietary datasets that go well beyond what general-purpose language models currently possess.

NerdWallet published its own analysis in March 2026, testing ChatGPT, Gemini, and Perplexity on seven tax questions. The team combed through more than 50,000 words of chat transcripts and found that while the chatbots performed well on black-and-white questions, they produced inconsistent answers when the same question was asked multiple times and made assumptions about users that could lead to personalised errors. Sam Taube, NerdWallet's lead writer for investing and taxes, noted that “a couple of years ago, even the cutting-edge AI models couldn't reliably do basic arithmetic,” and that while recent updates have improved their maths skills, “the tendency to cite nonexistent, 'hallucinated' cases in response to legal questions still comes up in 2026.” His summary was blunt: “Taxes involve both of those subjects, math and law. It's not a reliable source of truth yet.”

There is an uncomfortable irony here. Intuit's own vice president of product management has publicly acknowledged that generative AI “doesn't do well with math yet,” which is why TurboTax does not use AI for its actual calculations. Making sure tax code outcomes are accurate, the executive said, is “always job number 1A,” adding: “We don't feel that generative AI is at a point yet where it can do that.” The company that sells the most popular tax software in the world is telling you, in effect, that AI cannot do the thing that millions of people are increasingly using AI to do.

The Accountability Void

If the accuracy picture is complicated, the liability picture is worse. When you sign your tax return, you attest under penalty of perjury that the information is accurate to the best of your knowledge. The IRS holds you accountable for your return's accuracy regardless of what tools or methods you used in preparation. There is no special category for AI-assisted errors. No safe harbour protects you from liability based on reliance on algorithmic outputs. If the AI is wrong, the IRS treats that error as your mistake.

This creates a structural asymmetry that ought to trouble anyone who has uploaded a PDF to a chatbot and clicked “file.” The companies building these tools bear minimal liability for the advice they generate. No contract exists between you and the AI in any meaningful sense. No professional liability insurance covers AI errors. No licensing board can sanction an algorithm for providing incorrect advice. The terms of service for virtually every consumer AI product disclaim responsibility for the accuracy of outputs, often in language buried deep in documents that almost nobody reads.

The contrast with traditional tax preparation is instructive. When you hire a human accountant or a CPA, that professional is bound by licensing requirements, ethical codes, and professional liability standards. If they make an error, there are established mechanisms for recourse: malpractice claims, professional disciplinary proceedings, and often errors-and-omissions insurance that can cover the financial damage. None of these mechanisms exist for AI tax tools. The technology occupies a regulatory gap between “software tool,” which carries product liability, and “professional service,” which carries professional liability. It is treated as neither, and thus escapes both frameworks.

Laura Carrubba, an accounting instructor at George Mason University, has warned bluntly that filers should “never, ever upload any kind of sensitive personal information into a public forum like that.” The privacy risks alone are substantial, but the liability exposure is arguably worse. As one tax professional put it to reporters: “The alibi can't be that ChatGPT told me to do it; that's kind of equivalent to the dog ate my homework.”

For tax professionals who use AI tools in their practice, the picture is somewhat different but no less fraught. Practitioners remain professionally liable for supervising AI-generated advice, ensuring its accuracy in the context of intricate tax laws and client-specific circumstances, and validating recommendations before presenting them to clients. AI developers may bear some responsibility for tool reliability, but current service agreements shift most liability to users. As one widely cited legal analysis put it, “the blame game is perhaps the same as it ever was; the responsibility for competent advice lies with the tax professionals who employ these and other tools.”

Canadian tax professionals have already reported a troubling pattern. A survey found that businesses are losing money after relying on AI tools for financial and tax advice, with tax professionals spotting mistakes on a regular basis. The problem, they warn, is not hypothetical. It is materialising now.

A Landmark Ruling and Its Ripple Effects

The legal landscape shifted significantly in February 2026, when Judge Jed Rakoff of the Southern District of New York issued what appears to be the first ruling to squarely address privilege claims involving generative AI. In United States v. Heppner, the defendant, a corporate executive charged with securities fraud, wire fraud, and making false statements to auditors in connection with an alleged scheme to defraud investors of approximately 150 million dollars, had used a consumer version of Anthropic's Claude to research legal issues related to the government's investigation.

Without his lawyers' direction, Heppner inputted information he had learned from his attorneys into the AI platform, generating roughly thirty-one documents that outlined defence strategy and potential arguments. Federal agents seized these documents during the search of his residence after his arrest in November 2025.

Judge Rakoff ruled that the AI-generated documents were not protected by either attorney-client privilege or the work product doctrine. His reasoning was direct. Claude “is not an attorney,” and the platform's privacy policy specified that it collects data on user inputs and outputs, uses that data to train the tool, and reserves the right to disclose such data to third parties, including governmental regulatory authorities. There was no confidentiality. There was no legal advice. There was no privilege.

The decision, described by the court as addressing “a question of first impression nationwide,” sent shockwaves through the legal and financial services communities. The New York State Bar Association published an analysis under the headline “Loose AI Prompts Sink Ships,” underscoring the severity of the implications. The Harvard Law Review noted that the conclusion was not as inevitable as Judge Rakoff's opinion might suggest, arguing that a more fact-intensive analysis would indicate that self-directed AI use should be privileged in at least some circumstances. But the practical implications are already reverberating through corporate tax departments, law firms, and compliance teams. The ruling raises pressing questions for any organisation incorporating AI into its workflows: if an employee feeds sensitive client data into a consumer AI tool to generate tax analysis, is that analysis discoverable? The answer, after Heppner, appears to be yes.

Judge Rakoff left open one important possibility. He suggested that the analysis might differ if AI use had been directed by counsel under a Kovel-type arrangement, where the AI could “arguably be said to have functioned in a manner akin to a highly trained professional who may act as a lawyer's agent within the protection of the attorney-client privilege.” This distinction between supervised and unsupervised AI use may prove to be one of the most consequential legal questions of the coming years.

The Regulatory Vacuum

The IRS itself has taken notice of AI's incursion into tax preparation, though its response so far has been more cautionary than prescriptive. For the first time in history, the agency addressed AI on its annual Dirty Dozen list of tax scams for 2026, warning about AI-enabled IRS impersonation via phone calls, AI-generated phishing content, and voice cloning. Nina Tross, liaison for tax advocacy at the National Society of Tax Professionals, told reporters that “AI is definitely the number one culprit” for perpetrating tax scams. Bad actors, she explained, use AI to gather information from taxpayers and corporations, then file “highly detailed” fraudulent tax forms that result in improper payments.

The IRS has also explicitly cautioned against relying on AI for tax guidance, reminding taxpayers that they “should not rely on AI-generated responses to complex tax questions” and should verify any calculations or information provided by artificial intelligence. But the agency has stopped well short of issuing comprehensive standards for AI use in tax preparation.

This regulatory gap is drawing increasing criticism. Bloomberg Law has reported on growing calls for federal leadership, noting that accounting software companies are promoting AI-powered tools to taxpayers while sidestepping responsibility for errors and passing liability to clients. A letter sent to Treasury Secretary Scott Bessent urged comprehensive federal guidance on AI use in tax preparation, warning that without it, a patchwork of conflicting state rules would undermine business compliance and CPA professionalism. The comparison to the employee retention credit scheme, which earned its place on the IRS's own Dirty Dozen list, is apt: unregulated AI in tax preparation threatens to become the next entry.

Meanwhile, the IRS itself is quietly embracing the technology internally. The agency now operates 129 AI use cases, up from 54 in 2024, with AI powering audit selection, fraud detection, and taxpayer services. Yet the IRS has provided minimal public information about how its algorithms work, and taxpayers selected for audit are not told whether it was humans or AI that flagged their return. The asymmetry is striking: the government uses AI to scrutinise your return, but disclaims responsibility when you use AI to prepare it.

Across the Atlantic, the European Union's AI Act offers a more structured approach. The legislation, which entered into force on 1 August 2024, classifies AI systems by risk level and imposes corresponding obligations. Many AI use cases common in financial services, including credit scoring, fraud detection, and automated decision-making that affects access to services, are explicitly classified as high-risk, subject to strict requirements around risk management, human oversight, transparency, and auditability. For tax advisory firms specifically, the AI Act requires that operators ensure employees possess adequate AI literacy, that chatbots be clearly recognisable as AI systems, and that client data not be entered into open generative AI models without anonymisation. The European Banking Authority published a factsheet in November 2025 on the AI Act's implications for the banking and payments sector, and in November 2025 the European Parliament adopted a resolution laying out its priorities for AI use in financial services.

The full obligations for high-risk systems were initially set to take effect on 2 August 2026, though the European Commission proposed in November 2025 to extend that deadline to December 2027. FINRA in the United States expects compliance frameworks to be operational by the fourth quarter of 2026, with examinations beginning in early 2027.

A peer-reviewed study published in Nature's Humanities and Social Sciences Communications in 2025 examined how AI-driven systems impact legal fairness, due process, and the integrity of tax procedures. The researchers identified risks including algorithmic bias, opacity, and weakened procedural safeguards, and proposed an independent AI oversight mechanism to explain and review tax decisions. The study's central argument is that without such mechanisms, the use of AI in tax administration risks undermining the very principles of fairness and transparency that tax systems are built upon.

The Profession Fights Back, and Adapts

The accounting profession's response to the AI incursion has been a mixture of anxiety and strategic repositioning. A recent survey found that over half of financial services professionals, some 52 per cent, believe their job prospects have worsened in the past year due to AI, while 57 per cent avoid raising concerns with managers due to job insecurity. The World Economic Forum's Future of Jobs 2025 report listed accountants, auditors, and bookkeepers among “the world's fastest-declining jobs,” predicting 92 million global job displacements by 2030, with AI cited as a primary driver. Studies from OpenAI and the International Labour Organisation have also identified accountants and tax preparers as occupations “highly exposed to disruption.”

Yet the profession simultaneously faces a severe talent crisis. More than 300,000 accountants have left the profession since 2020, and three-quarters of CPAs are approaching retirement age. Recruitment agency Robert Half observed growing demand for accountants in 2025, with 58 per cent of employers planning to increase their permanent finance and accounting headcount, a six-percentage-point rise from 2024. The Bureau of Labor Statistics projects 5 per cent growth in accounting through 2034, with 124,200 annual openings. Surveys show that 46 per cent of firms intend to hire more full-time staff and 45 per cent plan to hire more seasonal staff, even as more than a third anticipate automating processes using AI.

The resolution to this apparent paradox lies in the profession's deliberate pivot from routine compliance work toward advisory services. Routine bookkeeping faces an estimated 85 per cent automation risk, but advisory roles face under 25 per cent. Tax professionals are shifting from two-hundred-dollar return preparation to planning engagements worth five to twenty-five thousand dollars, handling multi-entity structures, international tax planning, audit representation, and strategic advice that demands human judgement and client trust.

The American Institute of CPAs launched its Profession Ready Initiative on 2 February 2026, a research-backed effort to identify and develop the skills early-career CPAs need in an AI-driven marketplace. Susan Coffey, CEO of public accounting for the AICPA, described the initiative as addressing “one of the accounting profession's most pressing needs.” The research, led by SkillEdge, a firm specialising in professional practice analysis, will examine the roles early-career CPAs perform, how job expectations align against education curricula, and where professionals need additional development support. The organisation is developing a framework around the “T-shaped professional,” combining deep expertise with broad capabilities in analytics, digital fluency, and strategic thinking.

New roles are already emerging. Firms are hiring AI compliance officers to ensure ethical and audit-ready AI use, exceptions managers to handle discrepancies that AI cannot resolve, and AI audit reviewers to oversee investigations as auditing moves from sampling to full-visibility analysis. Notably, one of the Big Four accounting firms has already announced plans for an end-to-end AI audit process in 2026. CPA Practice Advisor published a pointed essay in February 2026 warning that if the profession lets software do all the thinking, firms risk becoming “interchangeable,” because if every CPA provides the same computer-generated answers, clients will simply pick the cheapest option.

The industry's emerging consensus is captured in a phrase that has become something of a mantra: “AI handles the 'what.' A great accountant tells you 'so what' and 'now what.'”

The Trust Deficit

Consumer sentiment tells a more complicated story than the breathless headlines about AI tax filing might suggest. A YouGov study released in January 2026 found that just 19 per cent of Americans trust AI in financial services, and only 10 per cent trust AI to make financial decisions automatically. Yet the 2026 IPX1031 Tax Procrastinators Report found that 46 per cent of Americans say they trust AI for tax advice, while 21 per cent said they would use AI to help them actually prepare their returns this year.

The gap between these figures hints at something important. People may tell pollsters they trust AI for tax advice, but far fewer are willing to hand over full decision-making authority. This is the uncanny valley of financial automation: close enough to useful to be tempting, far enough from reliable to be dangerous. The distinction between using AI as an assistant and using it as a replacement is one that the marketing rarely makes clear, but it is the distinction upon which financial safety depends.

Early IRS data for the 2026 filing season shows more than 36.5 million refunds totalling roughly 136.6 billion dollars issued as of early March, with the average refund running approximately 10.6 per cent higher than at the same point in 2025. Part of this increase may reflect the complexity of the One Big Beautiful Bill Act, the sweeping federal tax package passed in July 2025 that reshaped parts of the US tax code with new credits and deductions. This is precisely the kind of legislative complexity that trips up AI systems. This year's return is not simply last year's return with minor adjustments; it is a substantially different document, and the models trained on prior-year data may not have fully absorbed the changes.

Asking Harder Questions

The convenience narrative around AI tax filing is seductive, and not entirely wrong. For a straightforward W-2 return with no complications, an AI assistant may well produce an adequate result, particularly when integrated into established tax software that uses deterministic calculation engines for the actual maths. The problems begin at the margins, and in taxation, the margins are where the money is.

Consider the filer with cryptocurrency holdings across multiple exchanges, or the freelancer juggling 1099 income from several states, or the small business owner navigating the new provisions of the One Big Beautiful Bill Act. These are precisely the scenarios where AI chatbots have been shown to fail most spectacularly, and they are also the scenarios where the financial consequences of an error are most severe. An incorrectly claimed deduction does not just cost you the deduction itself; it can trigger an audit, generate penalties and interest, and in extreme cases, result in criminal liability for making false statements on a federal return.

The deeper issue is not whether AI will eventually get good enough at taxes. It almost certainly will. The issue is what happens in the interim, while millions of filers are being encouraged to trust systems that independent benchmarks show cannot correctly calculate even a third of federal returns. The consumer protection framework for this transition period is essentially nonexistent. There is no required disclosure when an AI system generates tax advice. There is no mandatory accuracy threshold. There is no insurance requirement. There is no regulatory body specifically overseeing AI tax preparation tools.

What would a responsible accountability framework look like? At minimum, it would require transparency about when AI is generating tax advice versus when a deterministic engine is performing calculations. It would mandate accuracy benchmarks, perhaps modelled on TaxCalcBench, that AI tax tools must meet before being marketed to consumers. It would require some form of liability insurance or indemnification, so that taxpayers who rely on AI advice in good faith are not left entirely on their own when the algorithm gets it wrong. And it would establish clear regulatory oversight, whether through the IRS, the Federal Trade Commission, or a new body entirely, to ensure that the gap between marketing claims and actual capability does not continue to widen.

This is the accountability gap that demands urgent attention. The technology is advancing faster than the legal and regulatory frameworks designed to govern it. Companies are marketing AI tax tools with confidence-inspiring language while their own engineers acknowledge the technology is not ready for the task. Taxpayers are absorbing all the risk while the companies building these tools absorb none of it.

The question is not whether we should celebrate the convenience. Convenience is fine. The question is whether we are willing to build the accountability structures that make that convenience safe, before the next filing season, and the one after that, and the one after that, turn millions of taxpayers into unwitting participants in the largest unregulated experiment in financial automation the world has ever seen.

The IRS will not accept “the AI did it” as an excuse. Perhaps it is time we stopped accepting it from the companies selling these tools, too.

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References and Sources

1. Todasco, M. “Yes, I Did My $10,000 Taxes With a $20 AI.” Substack, 2026.
2. The New York Times. AI chatbot tax accuracy test using eight fictional tax scenarios with ChatGPT, Gemini, Claude, and Grok, 2025.
3. Intuit Inc. “Intuit's AI-Driven Expert Platform Redefines Tax Filing with 'Done-For-You' Experiences.” Intuit Investor Relations, 2026.
4. Intuit Inc. “Intuit's All-in-One Agentic AI-Driven Consumer Platform Powers Year-Round Money Outcomes.” Intuit Investor Relations, 2026.
5. Column Tax. “TaxCalcBench: Evaluating Frontier Models on the Tax Calculation Task.” arXiv, July 2025.
6. Filed. “Measuring AI Tax Accuracy: Comparing Filed to ChatGPT, Claude, and Gemini on an Open Benchmark.” Filed.com, 2025.
7. NerdWallet. “Analysis: What AI Gets Right (and Very Wrong) About Taxes.” NerdWallet.com, 3 March 2026.
8. Morgan Lewis. “Using AI in Tax Workflows? What Heppner Means for Tax Departments.” MorganLewis.com, March 2026.
9. Harvard Law Review. “United States v. Heppner.” Harvard Law Review Blog, March 2026.
10. New York State Bar Association. “Loose AI Prompts Sink Ships: How Heppner Shook the Legal Community.” NYSBA.org, 2026.
11. Internal Revenue Service. “Dirty Dozen Tax Scams for 2026.” IRS.gov, March 2026.
12. Bloomberg Law. “IRS Standards on AI and Tax Preparation Would Protect Businesses.” Bloomberg Law, 2026.
13. Nature Humanities and Social Sciences Communications. “Balancing Innovation and Integrity: AI in Tax Administration and Taxpayer Rights.” Nature.com, 2025.
14. European Commission. “AI Act: Shaping Europe's Digital Future.” Digital-strategy.ec.europa.eu, 2024-2026.
15. Cross Border Advisory Solutions. “EU AI Regulation in Tax Law: New Obligations for Tax Advisory Firms.” CrossBorderAdvisorySolutions.com, 2026.
16. Accounting Today. “Accounting and Tax Staff Worry AI Threatens Jobs.” AccountingToday.com, 2025.
17. World Economic Forum. “Future of Jobs 2025 Report.” WEForum.org, 2025.
18. AICPA. “AICPA Launches Profession Ready Initiative to Transform CPA Workforce Readiness.” AICPA-CIMA.com, 2 February 2026.
19. CPA Practice Advisor. “The Decline of Human Intelligence in Tax Strategy: Is AI Replacing Smart Accountants?” CPAPracticeAdvisor.com, 16 February 2026.
20. YouGov. AI in Financial Services Trust Survey. January 2026.
21. IPX1031. “2026 Tax Procrastinators Report.” IPX1031.com, 2026.
22. Robert Half. Accounting and Finance Hiring Survey. 2025.
23. Bureau of Labor Statistics. Occupational Outlook Handbook: Accountants and Auditors. BLS.gov.
24. Capitol Technology University. “Audited by an Algorithm: How the IRS Is Using AI in 2026.” Captechu.edu, 2026.
25. OpenAI and International Labour Organisation. AI Occupational Exposure Studies. 2024-2025.

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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

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My first game comes from the WNBA, and has my Indiana Fever playing the Atlanta Dream. Start time for this game is scheduled for Noon CDT. Go Fever!

The second game for me to follow is a MLB game with my Texas Rangers playing the San Diego Padres. Opening pitch for this game is scheduled for 3:05 PM CDT. Go Rangers!

And the adventure continues.

I re-download the app to my phone. I open up Facebook. There's a default feed in front of me. I don't understand it.

There's a post from UNICEF Ireland. The white text on black background reads “This week, a 12-year-old girl in a tent in Gaza was shot...” and I'll spare you the rest of the quote.

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I scroll down. There are posts from entities that I do deliberately follow. Most of them are posts about posts from other entities. ...Which is literally what I'm doing right now. For what it's worth, I'm using my own words. I navigate over to some of their pages. A lot of it is screengrabs of posts with snarky commentary or “right on” commentary. There's little to no original content.

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Was some of it worth seeing or engaging with? Sure. Am I any more informed about what some of my friends are up to or thinking about? Also, sure. But why do I feel like such a sucker every time I log on there?

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In my subconscious somewhere, I recall the stat that only 8% of Facebook interactions are between friends these days. Sounds about right. I'd say about 8% of my time and interactions there are with friends myself. How did that happen? I got trained into disconnecting from my friends by a “social” network.

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I snap out of it after about fifteen minutes. Thankfully, before I can even get to “reels” this time.

I navigate over to the “memories” or “on this day” feed and see if there are any tasteless old posts that need deleting. I log out. I remove my login information from my device. I get back to living life.

Repeat tomorrow. Hopefully minus the fifteen soul sucking minutes.

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Do flatter you Often turned- to brake and sea In fitting front For lights of men And quantum war United States For things above To reflect the air Assistant drive,- To derelict of fortune Seeming all for furniture The distance night,- and fights, Vancouver If this were day, in stopping war Of calling cinder The precipice of Maitland Sheering nights of city And calibrate, the nurture Of taught suggest- that fire new and clementine A mercy for the Vatican This early May and wonder The syntax, fear- to going men and be A Fox in fortune The ties for distance then And future free to know- the search for friends in fallow Made to land at Drury Cove The night’s new main above The hurried stars in brew And palms advanced to Water In tightness be to their Altered waking now And Earth be ranged with follow- to their place in sceptre The man across a city bridge Caught for Hist’ry war And hallowed change, a lock For favoured let and far Perdition’s chance in sight The lonely Cavalier at way In Kingdom sight and might The Jury of such wonder And in McAdam sure The ferry lights to Peter And woven breath to light- and friend Apocalypse renoun- and favour night to them The fortunes of a car and axle And History wrote a poem For human book and isle We seek in proper chance Unsolid but rewarned In thought to PEI The precious day For night and all in Sut And Heaven view to all it for The Navy has a way And great to sparrow Of Wintered guess and war And Gypsy, Maine might wonder The treed and rider high So rately few, all spin And shouts for crystal joy This certain peace in verity blight A witness to AI Who cared a few to mention The frost of light inject To make all dew and merry they The search for light at Hope In fresh advance A Hister And lightly new to men The Scotch and prison- across the sea To married guest at Winter Living thanks to night That very few alone- will thought to be as mine,- And Heaven in that well To keep but known astroll For early war and reason This night had courage time For prospect in them And buried all to cousin rain The Kew for then to show Our ballad silver and maroon To Beckham blue in sight And gifted war to summon In books bereave we sour With cages fair and blame From distance men we are A spectral course alone The mercy at- a giant wind For lightning stood to shore Our fits at land This plagerant at void And very car to know And as the sky ahead At distal Ron Who saved the island sea And words of love to then- a solid and a strike For grateful steady To reprise the dawn at night And Heaven bechance to follow- the tidings of a pond For verses new in breath To Dawson at its core And History best in Captain The rain and rod are clear For Sun and tide at one Anthropic terse to May- that was all view,- and made to West- as simple Island Sky For better Wolfe The shining best in suppose The very Spruce we saw,- to hidden in the low And tallest dark remember A painful, solemn past And fair unfew but present The day in this express.

Ottawa

And the day folding South Office for us to remain In living standard at par Giant shadows of unwar Liberations to beguile And Citizen Rome Deep from afar A naming country in verse Of flat camber and steer The rightful news in 3D Going home and then forward The nights of entail And wherewithal Daytime for the Watch we keep Innocent and long The till of ten thousand Seamless to go And hiding our rank as we are Fortune delivered This day will unpass and reune The fitful Earth Hiding our game to renew Setting Dusk A misery an hour but Holy In the Oblast of Peter Thirty times to our Constitution- its Heart and ever Behest and made anew To the people who spoke And Sunways to edict Nine or ten men And cue this war on the reveal Earth had its way to bespoke Lines of fair fathom and grace Minotaur by the wrecklands- and a way to appeal Justice to the Bread and high tide The venerations to God are beknown Icicles three and snowbank Roses beneath and are fit for resurrection A sympathy to four-leggeds The entrance to Peter of Heaven Yesterday claw- The pine-edged repeat of new tidings Fading low and I tempered Style of repeal to the greatest Extravagant win as we are And to the sea back and mend Nightly grace for assumption Authority of Her Our Queen of great nobelisk Redemptions to fold without then Days set unfree But beguiled for and lift The auteur and the spent of renew Things of re-love The license of intention adore And sitting to roster Days of our time for all ways- And the Captain bringing us to verse Water to thirst and to field Our mission of this Tightly being renew Delivered to far and intend Mercy is making our home Jets to the shore Bettered in freedom to wrest And confiding all new Necessity bars to begin The Knighted of Rome And Earth early by its rest A Victory few And called to propose The distance to fusion in peace Right and thenso Make and redeem on our own Our own path and way Citizen on time to be here A solemn and labour- distance to amend This is the seat of the government And in terms to the West that we are Earth made amends to our suffering Lights of November in haste And therefore our will Citizens know our name- and our day- And it is Canada The House re-une of our deep- In this place as yours Timely professed The tame of the land at its best A gold star for all saints and renew And peace ever shall be.

New York

Mind over fences And to you, Rough Water Rials and risks And Infirm Island The Kennedy at pay Distance war unprepared and unkempt License for closure Citizens chill Clouds of esteem and Europa Empathy and N-Marks Quartered for the war Likeness of esteem Brave for the call In Romania, they win Times shining until- We descend upon one Woman The Victory of a star And Stonehenge of night The real velocity of time An Groot and more than that Hister forgot- and delivered in Maccabees We were shown what we had And were given a week For portions blame Intelligent and few This the unrandom And only at key We wondered but we were told- and then we weren’t The right hand has the answer And the left hand collects Supposing the Sun Had become of her sacred Tiled and at war Ebola knows when And all that Winter to sue Inviolable to you,- the Sun were to be Handing out masks And Tylenol And pain Grey clouds of fever To know when we can Am I a live virus With a window view Made a day able To round up and axis The mercy of it all,- we know a great fear To Justice mount,- and to see what we are seeking for Wednesdays are for scanning Until then an infirm And the most of an individual To pay rent and to hydrate Flee and return Insight to when Apostles of war and redemption This Peace our remembrance A holiday for the New Year The remark, and The Lord Opprobrium and file Making the great fallow That some places when- do end in Babel And others, the Night Trust Between every number And they in grade two,- the World was it all And taking a number And a witness And the way Between our dismemory That we filled on our way out A place like no other And a place- Nearly gone Every day for the wishes That were collected on time Three cars in my path And not a lightning of rule In seething to October While we jettisoned our less Bemeaning to fear Without either afflict And thanking hard Philosophy and cardstock The place to reveal We were here all along And intend to go back.

13 June 2026

Read Paul Klee's Pedagogical Sketchbook (1953) based on his Bauhaus lectures for the first time today before getting to work and felt reinvigorated by it. Evergreen. Over time I’m planning to sit with each of its subdivisions (below, as organized by Sibyl Moholy-Nagy) in depth…

I: Line as point progression Line as planar definition Line as mathematical proportion Line as coordinator for the path of motion

II: Line as optical guide Line as optical reason Line as psychological balance

III: Line as energy projection

IV: Line as symbol of centrifugal and centripedal movement Line as symbol of will and infinity Line as symbol of color mutations and kinetic harmony

…but for today I’m noting the first principles he lays out because they’re helping me think through the spatial inquiry that’s starting to happen in my studio (the Delimitation Stacks). With the caveat that I’m trying to submerge these things after learning them as I make—their relationship to intuition feels very important to preserve.

Anyway, to begin with, I think the categorization of active, medial, and passive lines (with respect to their cause, impact, and effect) relates to what I’ve arrived at recently in thinking about the goal of an optical essence of a space as a stack (vertical for now) of independent elements, which can then be individually (and endlessly, though not aimlessly) augmented to arrive at new structures. Which, when done well, seem to point towards inner relationships. Which Klee traces to nature—how we can think of line as it relates to the rhythms, patterns, and forms of human anatomy, plans, and earth, water, and air.

And so I think what’s crucial to implementing his teachings is to internalize them to the point where I can take an “active line on a walk, moving freely, without goal,” yet still honor certain instincts of the eye as they relate to emotional honesty. The toggling of delimiters through active, medial, and passive lines can be a playful, exploratory exercise. Even the simple notion of finding a space between an active and passive plane feels like it could be generative for an entire painting—an active/passive gradient—or a single choice to move something stagnant into a more dynamic range.

JOURNAL

20 juin 2026

J'ai cinq minutes pendant que les poussins se préparent. Ka chan leur manque et à moi aussi. « mais quand elle va revenir ka sensei ? » Ils sont trop mignons. Elle prépare son examen de juillet, ka chan, et travaille beaucoup, c’est très dur le droit. C’est jour de pluie ici, malgré tout ma princesse est venue pour aider au dôjô. On n’est jamais trop nombreuses ici pour assurer la sécurité. Je dis pas que la sécurité sur les tatamis, mais aussi dans les vestiaires et les douches. Depuis que je suis ici j’y veille spécialement et les filles sont enfin tranquilles. C’est pas un pays pour les filles le Japon, on le rappellera jamais assez et ka chan et moi, on sait de quoi on parle.

• * *

Ce soir encore on dîne ensemble, toute l'équipe sauf les kendoka qui me font toujours la gueule. Ils sont trop cons ces deux-là genre machos ils supportent pas une femme sensei et en plus supervisant toutes les activités, pourtant je leur fous la paix, je ne leur refuse rien mais ça les fait chier de me demander à moi. Ils essaient encore de passer par mon frangin qui les envoie à moi, et ça les vexe encore plus. Alors ils préfèrent encore rien demander du tout. Je me demande s’ils en arriveront à payer le papier hygiénique eux-mêmes pour pas s'abaisser à me signaler que ça manque. Faut en tenir une belle couche. C’est tout à fait encore l'image du Japon. Une femme, c'est on lui donne des ordres, et rien d'autre.

Before the dates for my denomination’s camp meeting were ever announced, before calendars filled up and schedules collided, I had already made plans.

About six months ago, I booked a vacation.

Not because I wanted to get away.

Not because I needed a break.

But because, in many ways, it’s a Make-A-Wish trip for my son, Vinnie.

For ten years now, he’s battled bone cancer.

Ten years.

He’s getting skinnier, yet somehow keeping his weight. The doctors can explain it medically; I just know what my eyes see. And what I see is a young man fighting a war that never seems to end.

So every year I load up the family and point the car south toward the Gulf Coast.

Fourteen hours.

Fourteen long hours.

The Gulf of Mexico.

Orange Beach, Alabama.

Gulf Shores, Alabama.

Sunshine.

Salt air.

Rolling waves.

Pelicans gliding across the water like little prophets of peace.

And every single time we go, something happens.

Vinnie comes back stronger.

Kaylee comes back refreshed.

Leo and Sydney come back smiling.

I come back breathing easier.

We all do.

The drive down hurts.

The drive back hurts even more.

Because you’re leaving something behind.

You’re leaving serenity.

You’re leaving tranquility.

You’re leaving peace.

But the pain is worth the destination.

And that’s when I think about Jesus.

Jesus talked about counting the cost.

He spoke of a king sitting down with his advisors before going to war, calculating whether he had enough strength to face an advancing army.

Count the cost.

Calculate the price.

Know what’s required before you begin.

And then Jesus applied that principle to discipleship.

He said if you’re going to follow Me, you’d better know what you’re signing up for.

Because following Christ costs something.

Are we willing to surrender our plans?

Our dreams?

Our reputations?

Our comfort?

Our pride?

Would we give up our Isaac like Abraham?

Would we surrender our son if God asked?

Would we surrender our future?

Our job?

Our popularity?

Would we endure being mocked by the world?

It’s one thing not to be conformed to the world.

It’s another thing entirely when the world turns around and laughs at you because you belong to Jesus.

Count the cost.

The world says, “Live your truth.”

Jesus says, “Follow Me.”

The world says, “Do what feels right.”

Jesus says, “Take up your cross.”

The world says, “Your will be done.”

Jesus says, “Thy will be done.”

Truth over lies.

His way over our way.

His kingdom over our kingdom.

His life over our life.

Thy kingdom come.

Thy will be done.

On earth.

In earth.

In me.

As it is in heaven.

And today, I’m not counting the cost.

I’ve already counted it.

I know what it takes to get to Orange Beach.

I know what it costs to get to the Gulf.

The gasoline.

The hotel.

The weariness.

The aching back.

The fourteen-hour drive.

I’ve counted that cost.

But I’ve also counted another cost.

The cost of heaven.

And here’s the good news:

I don’t have to pay it.

Because somebody already did.

The nails paid it.

The cross paid it.

The blood paid it.

Jesus paid it.

The price of my salvation was not silver or gold.

It was the precious blood of the Son of God.

And because He paid what I could never pay…

Because He purchased what I could never afford…

Because He conquered what I could never conquer…

I get to go.

Not because I’m good enough.

Not because I’m strong enough.

Not because I’m worthy enough.

I get to go because Jesus made a way.

And if you’ll trust Him…

If you’ll believe Him…

If you’ll surrender to Him…

You get to go too.

**************

Luke 14:25-28,30-35 NIV

Large crowds were traveling with Jesus, and turning to them he said: [26] “If anyone comes to me and does not hate father and mother, wife and children, brothers and sisters—yes, even their own life—such a person cannot be my disciple. [27] And whoever does not carry their cross and follow me cannot be my disciple. [28] “Suppose one of you wants to build a tower. Won’t you first sit down and estimate the cost to see if you have enough money to complete it? [30] saying, ‘This person began to build and wasn’t able to finish.’ [31] “Or suppose a king is about to go to war against another king. Won’t he first sit down and consider whether he is able with ten thousand men to oppose the one coming against him with twenty thousand? [32] If he is not able, he will send a delegation while the other is still a long way off and will ask for terms of peace. [33] In the same way, those of you who do not give up everything you have cannot be my disciples. [34] “Salt is good, but if it loses its saltiness, how can it be made salty again? [35] It is fit neither for the soil nor for the manure pile; it is thrown out. “Whoever has ears to hear, let them hear.”

Lydia's Weekly Lifestyle blog is for today's African girl, so no subject is taboo. My purpose is to share things that may interest today's African girl.

This week's contributors: Lydia, Pépé Pépinière, Titi. This week's subjects: The Corporate Girlie’s Guide to Lingerie-Inspired Fashion in Accra, Quality clothing? China, the other side of the coin, Anemia, and Au Grand Ecuyer

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The Corporate Girlie’s Guide to Lingerie-Inspired Fashion in Accra. Before HR starts sweating, let’s be clear: We’re talking lingerie-inspired fashion — chic, polished, and office-appropriate styling that whispers elegance instead of screaming bedroom playlist. The Golden Rule: Suggest, Don’t Shock: Corporate lingerie styling is all about subtlety. We are inspiring curiosity, not starting emergency office meetings. Keep it classy by: Layering strategically Avoiding overly sheer fabrics Choosing neutral tones for work settings Keeping hemlines and fits polished Because the goal is fashion editor energy, not “the office group chat discussing you before lunch.” Confidence Is the Real Outfit: The beauty of lingerie-inspired corporate fashion is the balance of strength and softness. It reminds us that power dressing doesn’t always have to be stiff blazers and black trousers every single day. Sometimes power dressing is: Silk instead of cotton Lace instead of plain basics Confidence instead of playing safe. And the Accra girlies? Oh, we know how to do both business and beauty effortlessly. Now excuse us while we strut into the office looking like the CEO of elegance. Quality clothing? What to look for? Look for signs of wear, if already the item has snags, premature peeling or bubbling on the fabric, likely caused by friction from people trying on the garment, it's probably not a quality purchase. Turn the item inside out. Does it look as good on the inside as it does on the outside? If so, it's a good indication you've got a decent quality garment. Look for quality hemming, button holes, buttons, are the button holes at the right place for the buttons? What about the zip, does it look quality? Does it run smoothly? Is it stitched in and invisible? While the piece is inverted, lightly tug at the seams that join the panels of fabric together. They shouldn't be loose or show any big gaps when you pull at them. Consider the material. It should make sense for the purpose of the garment. For example, if you're buying a sweater, choose one with a material that will keep you warm, like wool. If you're buying summer clothes, choose fabrics that will keep you cool, like linen. If you're buying swimwear or sportswear, you'll likely need a synthetic performance or technical fabric. Don't conflate durability with quality. If a garment falls apart in the wash, it's not necessarily a bad piece of clothing. Silk or clothing with beading and embroidery, may need handwashing. Read the labels. What material is it? Are there proper washing instructions?

China, the other side of the Chinese yuan coin (also called renmibi). China, superpower, super copier, factory of the world, making robots, electric cars and the iPhone. Right now they are building the longest bridge, the deepest tunnel, the highest building, what not. They have moved from the 3 years of hunger (1959-1961) when about 40 million people died of hunger (Ghana has about 36 million people) to a country that is now economically challenging the world order (where the USA claims to be on top). So a loud Ayeeko is not out of place. But? Europe has about 6 % unemployment, the USA 4.3 %. And the Chinese? Similar figures, except for young people, 16% cannot find a job. So they go for anything they can get, like delivery services for those who are busy with their job. And here is the interesting part. Those who have a job work so hard and so much that they don't have time to make friends. So if they want to have a nice dinner they hire a companion. Someone who does not have a job. Or to go to the cinema. Or to go hiking. It’s a big business, 200 million people, 14 % of the Chinese population is available for rent. To do shopping for you or to go shopping with so you don't have to feel lonely.

Anemia. The latest (2022) Ghana Demographic and Health Survey claims that 40 % of Ghanian women of reproductive age have anemia. And amongst pregnant women it is 50 %. Some regions have higher figures, like 70 %. What is it? Your blood mainly consists of red and white blood cells (and a host of other things), the red blood cells carry oxygen to where it is needed to get energy (organs, cells, muscles), we get oxygen by breathing. Anemia is insufficient red blood cells (RBC in your lab results). Anemia symptoms often include headache, dizziness, palpitations (the sudden, abnormal awareness of your own heartbeat), pallor (an unnatural paleness or loss of colour in the skin), tiredness and out of breath. And low birth weight children. How come? Assuming you are not “sick” (not suffering from illness such as malaria, sickle cell, or severe blood loss) you mainly get anemia by not eating sufficient iron rich food. What is iron rich food? Beans, beef, (chicken) liver, chickpeas, dark chocolate, eggs, lentils, oats, pumpkin seeds, sardines, spinach, tuna. Trick: add vitamin C to every meal, like bell pepper, tomato, orange or lemon for better iron absorption, avoid tea, coffee, milk, yogurt and cheese 2 hours before meals, they block iron absorption. And don’t overcook those green leaves.

Au Grand Ecuyer. Ring Road, opposite Fire Service Headquarters, Osu, Accra , popularly called the French restaurant, though they sell many local and African dishes as well, is one of my favourites. They sell a very good local tasty tender beef steak at 200 GHC, no need to import from Argentina or Australia, it comes with potato chips, mashed potatoes or green beans (you could choose others) and if you want with black pepper sauce. Popular is attiéké (also spelled adjèkè, acheke) with tilapia, you mostly will not be able to finish this huge fish and have to go for take away. Their shrimp avocado salad is also nice and fresh, they add tomato on request. There’s more, much more there, prices are a bit reasonable.

Lydia...

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11 June 2026

From last night's crit at the courthouse: foregrounded plane(s) sliding off of the background (up or down), kinetic overlay, the subject deadened then revisited then layered on top of the potent original (failed) state. Sharon brought up Calder, which seems like such a logical reference now but I admittedly need to spend more time with the work (and I will). She also made a nice point about the potential value of mixing richness built up over time with the immediacy and intentionality I'm drawn to. Which in the case of Sink relates to background and foreground, but can really be applied to any constituent element. Good fuel for moving forward.

9 June 2026

Stand (working title): something of a flattened and raised still life of the yellow mimosa flowers Yena got me a couple months ago in a vase on my nightstand. Been wanting to paint them for a while because I enjoy how they look like a small controlled explosion, but I couldn’t figure out the approach until today. Arrived at the simple idea of a volatile form rendered in a subdued palette—finding that negation of a defining characteristic often opens up possibilities, even if that negation is happening behind the scenes (perhaps especially). I suppose I must have been thinking of those Santa Maria Zobenigo marble reliefs I mentioned a couple days ago. As well as the Polaroid I took of the campfire Yena and I made in Winchester in the summer of 2024. And Duchamp's literally seminal Paysage Fautif (Wayward or Faulty Landscape) (1946) painting that I’ve had on my studio floor this week—came back from New York with one of the publications from the MoMA show. This all has to do with the surface as well, trying to find some way to divert attention from it by muting and smooshing it as much as possible while still retaining an active sense of motion and depth and change through it.

I said I’ll continue last time on A Week of Terrible Execution about the dream and the magical week i had. but i guess we will move it further as today was an absolute ridiclous day. Being unconscious in the hospital for what felt like a full week was enough to destroy whatever patience i had left. i decided to stop by work today to see how things were going, only to walk into an absolute mess that nearly made me turn around and leave immediately. After spending long enough questioning both the company and my life choices, i sat in the car for a while, wondering why i bothered. Naturally, i then bought a Red Bull despite every doctor and therapist I know treating caffeine like a personal attack against my recovery. At least it wasn’t alcohol, so lets keep the celebration modest. The rest of the day was spent mostly outside after an argument with my housemate. i was supposed to be resting at home, recovering like a sensible person. Instead, i spent the day making myself progressively more miserable. A talent i seem determined to perfect.

I was given very, very. clear instructions to rest and recover and avoid unnecessary stress. Instead, i went to work, got irritated, argued with my housemate, drank Red bull and spent half the day sitting in my car questioning my life choices. So , Yes. I am absolutely nailing the whole “ rest and recover, Ahmed” thing. No notes. ( Im being sarcastic ill eventually find a way to nail it the right way.)

Good night. dont get used to this tone, you pathetic reader. It’s not directed at you personally.

Sincerely, Ahmed

In Summary: * Now tuned into ESPN Chicago ahead of tonight's MLB Game between the the Chicago White Sox and the Detroit Tigers. I'll stay with this station as broadcast over the MLB Gameday Service for the radio call of the game.

Hopefully by tomorrow my eyesight will have returned to my normal and I'll be able to access the Internet as I usually do..

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= 235.90 lbs. * bp= 130/76 (68)

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

Diet: * 05:15 – 1 barbacoa breakfast taco * 06:10 – 1 ham & cheese sandwich * 15:00 – 3 crispy oatmeal cookies and milk * 15:45 – fried chicken, baked beans * 18:00 – 1 fresh orange

Activities, Chores, etc.: * 04:00 – listen to local news talk radio * 04:40 – bank accounts activity monitored. * 05:00 – read, write, pray, follow news reports from various sources, surf the socials, nap * 08:00 – work on computer printer * 10:00 – prep for Doctor's appointment * 12:00 to 15:00 – at Retina Doctor's appointment, traveling to and from. * 15:00 -home again, waiting for my eyesight to return to close to normal * 17:00 – tuned into ESPN Chicago ahead of tonight's MLB Game between the the Chicago White Sox and the Detroit Tigers. I'll stay with this station for the radio call of the game.

Chess: * 09:00 – moved in all pending CC games

In the Enneagram, the laws of One, Three, and Seven are fundamental. This means they are fulfilled everywhere below and within their worlds.

The Law of Three references the triadic nature of any one thing.

Points Three, Six, and Nine correspond to the three forces Active, Passive, and Reconciling, respectively.

As do Centers, Harmonics, and Hornevians, firstly as whole groups, then on a lower level both as their individual triad members within each of the three phases, as well as within each Enneagram type.

As with the Object Relations Frustration, Rejection, and Attachment.

The assembly of three forces of any one creation is an active process, relative to the passive integration & disintegration process, and to the reconciling process of wings. These correspond to the Law of Three, the Law of Seven, and the Law of One, respectively.

The three types (Three, Six, and Nine), the three phases (Centers, Harmonics, and Hornevians), and the three Object Relations (Frustration, Rejection, and Attachment) are also active, passive, and reconciling relative to each other.

Living in the universe of Three, Six, and Nine, these are our active forces, while the three phases are passive.

Which is active, which is passive, and which is reconciling globally may not yet be decided, and may be precisely what is being played out for our universe at a fundamental level.

In the triad matrix illustrated by the horisontal Three, Six, and Nine triad divisions, the vertical Center, Harmonic, and Hornevian triad divisions, and the diagonal Object Relations, the triads are arranged by their orders.

The orders of occurrence varies by perspective, as per the relativity of time.