I propose the The Racism Asymmetry Law: "The amount of energy needed to refute racist misinformation is an order of magnitude larger than is needed to produce it." Core Tenets The Effort Gap: It takes mere seconds to invoke a stereotype or deny a group’s historical contribution. Conversely, it takes minutes or hours to research, cite, and present the historical evidence (like the 1,500 Indian soldiers who died at Gallipoli) required to debunk that claim. The Burden of Proof Shift: In these digital exchanges, the racist actor often shifts the burden of proof onto the responder, forcing the "educator" to prove a minority group's right to exist or belong, while the "detractor" relies on the low-energy comfort of prejudice. The Saturation Effect: Because it is "cheaper" (in terms of cognitive effort) to be bigoted than to be factual, a single person defending historical truth can be quickly overwhelmed by a volume of bad-faith arguments that they simply do not have the time to correct. Inspired by: Brandolini's law (or the bullshit asymmetry principle)

"I spent a week in Delhi. Here is what I think..." Seriously? I mean, there is delusions of grandeur and then there is this NYT levels. What can you learn in a week? How many people could you interview? What's the sample size? How much can you see in a week? Preposterous

The electric traction with high-rise OHE is India’s engineering innovation to the Double-stack container trains. The long-haul formation and “Make in India” high-horsepower electric locos are significant capacity upgrades on the Dedicated Freight Corridor.

Must read for this week

Masterclass in debunking and exposing propaganda. Animated data visualisation says it all.

Michel Foucault’s analyses of the medical gaze, the construction of the “normal” versus “pathological” body, and "biopower" provided the conceptual framework later adopted by Fat Studies to reinterpret obesity medicine. In this reading, the classification of excess adiposity as a disease state and the promotion of weight loss - whether through lifestyle measures or pharmacologic agents such as GLP-1 receptor agonists - are understood primarily as exercises of disciplinary or biopolitical power rather than responses to measurable health risks. The language of the 2026 Harvard Medical School panel “Against the Pathology of Unruly Bodies,” which framed medical attention to fatness as pathologization and described weight-loss drugs as tools of 'fascistic' (am not kidding) eradication, directly reflects this Foucauldian inheritance. The framework entered medical institutions via feminist and queer theory, the formalization of Fat Studies, and the embedding of medical humanities and social-medicine perspectives within clinical education. While Foucault’s historical account of knowledge/power relations does not entail the denial of biological associations, its stronger contemporary applications treat epidemiological and randomized-trial evidence of obesity-related morbidity and the cardiovascular benefits of GLP-1 agents as secondary or ideologically suspect. The result is a selective skepticism within certain academic and institutional settings that subordinates outcome data to critiques of medical power. city-journal.org/article/har…

Campbell’s Law and Deliverology: Why Targets in Education Often Distort the Thing They Measure In education reform, two ideas frequently collide: the accreditation and ranking milieu push to set clear targets and rigorously track them, and a longstanding social-science warning about what happens when those targets become high-stakes. Campbell’s Law, stated by psychologist and social scientist Donald T. Campbell in 1976, is: “The more any quantitative social indicator is used for social decision-making, the more subject it will be to corruption pressures and the more apt it will be to distort and corrupt the social processes it is intended to monitor.” The core insight is straightforward. A measure (test scores, graduation rates, attendance, crime statistics, hospital mortality rates, etc.) can be a useful indicator under ordinary conditions. Once it becomes the basis for consequential decisions - funding, rankings, promotions, bonuses, or political accountability - people and institutions face strong incentives to "improve" the number rather than the underlying reality. The result is often both a corrupted metric and a distorted process. Campbell applied the idea directly to education as a fantastic demonstration (Thank you Campbell). He wrote that achievement tests can usefully reflect general school achievement under normal teaching aimed at broad competence. But when scores become the goal of the teaching process, they lose their value as indicators and distort instruction. Common manifestations include teaching to the test, narrowing the curriculum, coaching test-taking strategies, reclassifying students, or outright cheating (as seen in high-profile scandals such as Atlanta). Similar patterns appear in other fields: police departments under pressure to lower reported crime rates, factories meeting Soviet-style production quotas with unusable goods, or airlines lengthening scheduled flight times to boost “on-time” percentages. Campbell’s Law is closely related to Goodhart’s Law (“When a measure becomes a target, it ceases to be a good measure”), but it places extra emphasis on the corruption of the social processes themselves, not merely the breakdown of the statistical relationship. Deliverology is a results-driven approach to public-sector performance management developed by Sir Michael Barber. It originated in the early 2000s when Barber headed the Prime Minister’s Delivery Unit (PMDU) under Tony Blair. The small unit’s job was to ensure that a limited set of government priorities—especially in education and health—actually got delivered rather than remaining policy aspirations. A Treasury official coined the term “deliverology” as a mild joke; Barber and his team adopted it. The method treats delivery as both a science and an art. On the science side, it calls for a small number of clear, ambitious, measurable targets; baseline data and trajectories (expected paths of improvement); regular monitoring; stock-take meetings with top leadership; and structured problem-solving when progress stalls. On the art side, it stresses political (or administrative) will, urgency, honesty about obstacles, and building a lasting culture of delivery. Barber later codified the approach in Deliverology 101: A Field Guide for Educational Leaders (2010) and applied it through roles at McKinsey, Pearson, the U.S. Education Delivery Institute, and his firm Delivery Associates. Variants have been used in education systems in the UK, various U.S. states, Ontario, and elsewhere. Typical Deliverology practices in education include setting quantitative targets for test scores, attendance, or graduation rates and then intensively monitoring progress against them through dedicated delivery units and data routines. Proponents argue this disciplined focus forces attention onto priorities that would otherwise drift amid everyday bureaucratic noise and produces measurable short-term gains. Where the two ideas meet is the claim that Deliverology’s heavy reliance on targets and quantitative indicators puts Campbell’s Law into action. When high-stakes consequences are attached to a narrow set of metrics, the pressures Campbell described—gaming the measure and distorting the underlying educational process—tend to appear. Academic studies of English secondary education under performance-measurement regimes influenced by this style of management have documented effects such as test-driven pedagogy, curriculum narrowing, reduced teacher autonomy, and short-termism. Critics contend that these systems can improve the numbers without equivalently improving learning, or can even undermine broader educational quality. Supporters counter that without clear targets and relentless monitoring, many education systems simply fail to deliver meaningful improvement at scale, and that careful design (multiple indicators, verification, and attention to unintended consequences) can mitigate the risks. In short, Campbell’s Law is a cautionary principle about the predictable side-effects of turning social indicators into high-stakes decision tools. Deliverology is a practical methodology that deliberately uses ambitious targets and data to drive public-service results. In education, the tension between them is ongoing: the former warns that the latter’s tools can corrupt the very processes of teaching and learning they are meant to improve. Recognizing both helps explain why so many education reforms that look decisive on paper produce mixed or distorted results in classrooms.

I also attended a course at Harvard Medical School. And a MIT-Harvard bootcamp. You won't catch me using those as some sort of academic halo because my peers know the value of such 'executive courses' well. Anybody who uses the 'Harvard' label is always laughed at.

Hmm.. This is interesting. Nice work, 12 Axis.

Actually, combining multiple of the siloed columns creates competencies. Recall x, y and z and devise a plan, monitor and evaluate the outcomes and refine the plan till you can recognise and demonstrate that the outcomes have been achieved. Instead of just words from the 'evaluation' column.