How governance change travels across India

Abstract

Does the governance of climate money behave like the governance of a ration card? This companion to 2026-10 takes the seven rules of the Map of Maps of Governance out of India for the first time and tests three of them on the Fund's records, in a registered analysis. One rule holds: projects on the simplified track reach first disbursement 5.4 months sooner (8.8 against 14.1 months). Two fail: delay does not fall harder on the most vulnerable countries, and intermediaries carry about four-fifths of the money everywhere. The fast lane is faster, and it is not fairer.

Cite

Ramprasad, V. 2026. The fast lane and the long chain: Why the Green Climate Fund's simplified track speeds money to the ground but does not make it fairer, and what the Map of Maps of Governance learns from its first test outside India. Tailwinds Working Paper 2026-11, Tailenders Analytics, v0.1, 31 October 2026. https://doi.org/10.5281/zenodo.24047096

Abstract

Who are the particularly vulnerable that adaptation finance is for, and did they become less vulnerable because of it? The paper reads the full Green Climate Fund portfolio (372 projects, US$21.31 billion, frozen 12 October 2026) against that mandate, in a registered analysis. The money reaches the most vulnerable countries and the simplified track is faster. But the record holds a country and a count, and the count cannot be read as people: by the Fund's own indicator, 18 single-country projects reach more than 100 percent of their country. The paper sets out how to establish reach without identifying anyone.

Cite

Ramprasad, V. 2026. Counted but Unknown: Why reaching the most vulnerable countries is not the same as verifying which people benefit from adaptation finance; and how to establish reach without identifying anyone. Tailwinds Working Paper 2026-10, Tailenders Analytics, v0.1, 31 October 2026. https://doi.org/10.5281/zenodo.23826212

Abstract

If my water is within the limit, is it safe? The paper sets India's 18 pesticide limits for drinking water beside those of the WHO, the European Union and the United States, each read in the original. A permissible limit is not a safe dose: the European limit is a purity rule, while health-based limits rest on assumptions about a 60 kg adult. India is looser than Europe on 14 of its 18 pesticides, by up to 1,900 times for malathion, and the national pollution board reports 'below detection limit' without saying what the limit is.

Cite

Ramprasad, V. 2026. Permitted Does Not Imply Safe: Why a legal limit is not the same as a safe dose, and how to read India's pesticide limits for drinking water against the world's. Tailwinds Working Paper 2026-09, Tailenders Analytics, v0.1, 18 October 2026. https://doi.org/10.5281/zenodo.23445211

Abstract

Is there pesticide in the water India drinks, and how would anyone know? India's standard sets limits for 18 pesticides and no testing frequency; the river network samples pesticides once a year, before the monsoon, and in 2020 produced pesticide data for at most 114 stations, one for every 12.3 million people. We found no rule requiring any tap, well or hand pump to be tested for pesticides at all. Where scientists did look, they found α-endosulfan at about 145 times India's limit in Kasaragod wells. The paper recommends a sampling rule scaled to the people served.

Cite

Ramprasad, V. 2026. Unknown and Undrinkable? India drinks what it does not measure: why a clean record is not the same as clean water, and how a sampling rule scaled to its people would show what pesticides are in its rivers, wells and taps. Tailwinds Working Paper 2026-08, Tailenders Analytics, v0.1, 18 October 2026. https://doi.org/10.5281/zenodo.23445209

Abstract

Is there a limit for PFAS, the 'forever chemicals', in India's water? There is none. We checked every instrument: the drinking-water standard, the bottled-water and food regulations and the Jal Jeevan Mission's testing framework carry no PFAS parameter, and the Central Pollution Control Board told the National Green Tribunal in 2024 that no standard is prescribed. India has not accepted the Stockholm Convention's listings of PFOS, PFOA or PFHxS, while researchers have found PFAS in its rivers, groundwater and sediments. The paper opens in Bhopal, at a pesticide plant whose death toll the Supreme Court's own record gives three ways, and asks whether India needs to wait for a count before it writes a limit.

Cite

Ramprasad, V. 2026. Forever, Unlimited: Why India sets no limit for PFAS, the 'forever chemicals', why no standard is not the same as no exposure, and how listing them would begin to protect the people who carry them. Tailwinds Working Paper 2026-07, Tailenders Analytics, v0.1, 18 October 2026. https://doi.org/10.5281/zenodo.23444989

Abstract

Are pesticides harming us, and if so, why can the evidence not say so clearly? Both sides are right about different people. At the dietary exposures most people carry, residues sit far below reference doses; at the tail (sprayers, women who mix concentrate, children exposed in the womb, people in crisis with a lethal bottle within reach) harm is real and under-measured. Four filters turn that tail into 'no clear evidence', and they are thickest where exposure is highest. Where the most toxic products were restricted, lives were saved: 19,769 fewer suicides in Sri Lanka over the decade after its bans, with no measurable loss of yield.

Cite

Ramprasad, V. 2026. Harm Hides Where Measurement Ends: Why no clear evidence is not the same as no harm, and how measuring the tail would settle the pesticide paradox. Tailwinds Working Paper 2026-06, Tailenders Analytics, v0.1, 17 October 2026. https://doi.org/10.5281/zenodo.23436116

Abstract

Restoration finance is learning to reward communities that make their own forest rules, and across 314 forest commons in 15 tropical countries, local rule-making is among the most consistent predictors of good outcomes. The paper reproduces the published model and walks it down the tail: forests whose communities depend most on them (159), then those among them with low literacy (54). At the tail, rule-making stops predicting carbon and starts predicting subsistence: its association with the high-carbon cluster vanishes (−5.9 points), while its association with subsistence nearly doubles, from 15.8 to 27.0 points.

Cite

Ramprasad, V. 2026. Whose Rules? Which Forest? Why community rule-making predicts carbon on average but subsistence at the tail, and what that means for restoration finance. Tailwinds Working Paper 2026-05, Tailenders Analytics, v0.1, 17 October 2026. https://doi.org/10.5281/zenodo.23433466

Abstract

India judges farm policy by averages, and averages hide its failures. Using the National Sample Survey's Situation Assessment of Agricultural Households for 2018-19 (58,040 households, 36 states), the paper walks each state down its tail: holdings of no more than 10 acres, then the 1 hectare tip, then Scheduled Tribe, Scheduled Caste, women-headed and tenant households within it. Of 30 state verdicts that pass on average, 13 are overturned at the tail, and 228 of 1,017 tests fail where about 51 would by chance. Scheduled Tribe households in the tip are the most frequent deepest failure.

Cite

Ramprasad, V. 2026. The tail inside the average: Why farm-gate governance that passes for India's states fails at its tail, and how a recursive test finds where. Tailwinds Working Paper 2026-04, Tailenders Analytics, v0.1, 12 October 2026. https://doi.org/10.5281/zenodo.23307497

Abstract

India's CSR law names social ends, including ending hunger and poverty and reducing the inequalities faced by socially and economically backward groups, so its money can be judged only by who received it and what changed for them. The filings answer a different question, where the money went, and for most of the money not even that. For the 357 companies that spent at least Rs 10 crore between 2014 and 2020, Rs 55,857 crore (US$8.25 billion) in all, only 11.8 percent of the money names a district; of the 55 companies that do record where, 26 fail a test of reach to the tail end. No filing reaches the four higher rungs of the ladder: through whom, who, position and difference.

Cite

Ramprasad, V. 2026. Where, but not who: Why India's largest companies cannot say where their CSR goes, and how a five-rung test would show whom it reaches. Tailwinds Working Paper 2026-03, Tailenders Analytics, v0.1, 12 October 2026. https://doi.org/10.5281/zenodo.23307292

Abstract

India's governance succeeds at campaigns and digital rails and fails at routine tasks that need an official's judgement: the FIR, the land record, the clinic, the classroom. Everyday adjustments, an extra trip, a broker, a small payment, a quiet exit, absorb each failure and lock it in. The paper sets out seven propagation rules, each with a test on Indian data, and takes Gandhi's talisman as the standard: governance should work hardest for those who cannot adjust. Dedicated to Mahatma Gandhi and Lal Bahadur Shastri.

Cite

Ramprasad, V. 2026. The Talisman Test: a talisman for governance protection. Tailenders Analytics Working Paper 2026-02, version 1.0, 3 October 2026. https://doi.org/10.5281/zenodo.23117021

Abstract

Weather and influenza forecasters map where change is and where it is heading, and score themselves against outcomes. This paper argues that governance research in India can do the same by treating governance change as something that moves over institutional distance: the administrative ladders, schemes, organisations and community networks that carry it. Three demonstrations on public data show the range.

Three findings

• A law moved as a front

  Right-to-services laws spread across Indian states with no more neighbour-to-neighbour contagion than chance would produce; the carrier was the legislature, and it moved in a single year.

• A practice moved as a wave

  Natural farming spread district to district, carried by farmers, self-help groups and resource persons, with state and national policy following the practice.

• A rail began as a wave and finished as a front

  UPI, carried by private apps and merchants, took off district by district and then went national; it crossed state borders without a seam, which is the contrast institutional distance predicts.

Method and data

PhonePe Pulse district-quarter data matched to 2011 districts; take-off and halfway dates per district; Moran's I with 999 permutations; a border test by OLS with heteroskedasticity-consistent errors. Sources, code status and the limits of each demonstration are set out in the paper.

What this means for practitioners

Whether a change arrives everywhere at once or travels outward through people decides where to look for it next, which brakes to expect, and which carriers to fund. The paper sets out carriers and brakes of rule diffusion as testable propositions.

Cite

Ramprasad, V. 2026. Tailwinds: How governance and grievance change moves across India, and how to forecast it. Tailenders Analytics Working Paper 2026-01, version 0.4, 28 September 2026. https://doi.org/10.5281/zenodo.23005367

• Fronts and waves

  Whether a change arrives everywhere at once, carried by a mandate, or travels outward, carried by people and organisations.

• Carriers and brakes

  What moves a rule, such as agencies, networks and neighbours, and what slows it, such as jurisdictions, thresholds and fit with rules already in use.

• Usable evidence

  Forecasts built to fit the decisions officials take, to work with what they already know, and to improve through repeated interaction with them.