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Finding 2 — Religion didn't predict the swing

Pearson correlations between AC-level religion share and party swing are all |r| < 0.2. The TVK wave was not a communal realignment.

The headline test

For each of the 203 ACs where we could attach a 2011 Census religion mix (district level), we computed the Pearson correlation between religion% and the swing-from-2021 for each major party. The table below is the answer.

DMK swingAIADMK swingTVK swingBJP swingINC swingPMK swingNTK swing
Hindu%+0.03+0.08−0.06+0.03+0.16−0.09+0.05
Muslim%+0.03−0.00+0.05−0.13+0.12+0.06−0.02
Christian%−0.04−0.09+0.02−0.00−0.19+0.09−0.03

Reading this table

Correlations of ±0.1 are weak; ±0.2 is borderline; ±0.3+ would be meaningfully predictive. Every cell here is below the "meaningfully predictive" threshold.

What the cells say

  • BJP × Muslim% is the largest negative (r = −0.13). Where Muslim share is higher, BJP gained less. Expected direction, modest magnitude.
  • INC × Christian% is the largest negative (r = −0.19). Where Christian share is higher, Congress lost more. Surprising sign — Congress historically draws from minority blocks; possibly an alliance-arithmetic artefact in 2026.
  • INC × Hindu% = +0.16 — the other side of the same coin. Where Hindu share is higher, Congress lost less. Same caveat.
  • DMK swing × anything: all near-zero. DMK lost broadly, not concentrated in particular religion mixes.
  • TVK swing × anything: all near-zero. The wave was not communal.

The Muslim-quintile cut

A finer view: group ACs by Muslim% into 5 quintiles, compute median swing per party in each.

Quintile (Muslim %)nDMKAIADMKTVKBJPPMK
Q1 (lowest Muslim%)47−15.1−13.2+32.8+17.3−16.3
Q239−17.0−14.7+35.9+1.4−15.6
Q344−11.1−15.9+33.7+19.3−13.2
Q433−17.8−12.6+32.8+17.0
Q5 (highest Muslim%)40−15.9−13.1+36.0−10.0−12.5

The visible signal is in Q5 BJP: when you reach the most Muslim-share ACs, BJP's swing goes from +17 pp to −10 pp. BJP went backwards in Muslim-heavy ACs.

But notice — TVK's swing is essentially flat at +32-36 across all quintiles. The TVK wave doesn't care about Muslim share.

What this means

The 2026 result wasn't a communal realignment in TN. The data is more consistent with:

  1. Generalised incumbent fatigue — voters rotated AWAY from both DMK and AIADMK at roughly equal rates.
  2. A celebrity-led alternative — Vijay's TVK was the available off-ramp; voters took it.
  3. Geographic concentration in Chennai metro (see Finding 4) — not religious-block concentration.

The one religious signal that did appear is small but real: BJP underperformed in Muslim-heavy ACs. That's expected and arithmetically obvious; it's not a new political story.

What this analysis cannot see

This is an AC-level analysis using district-level religion data — the Census 2011 sub-district-to-AC mapping wasn't done at finer granularity (SHRUG is auth-walled and we used a coarser fallback). So:

  • Within-AC variation is invisible. If Mylapore (within Chennai South) voted differently from T. Nagar, this analysis can't show it.
  • District-level religion averages mask intra-district variation. Two ACs in the same district share the same religion mix in this dataset.

Booth-level analysis (Path B) would change both. We have the pipeline; we don't have the OCR done.

Method note

  • Religion source: Census 2011 C-01 table (DDW33C-01) at district level.
  • AC → district join uses the district name from kracekumar/tn_elections 2021 results, normalised against Census district names (manual aliases for Tuticorin/Thoothukudi, Kanniyakumari/Kanyakumari, etc.).
  • 31 ACs (in districts created post-2011 Census — Tirupathur, Chengalpattu, Kallakurichi, Mayiladuthurai, Ranipet, Tenkasi) have no religion attached. Pearson correlations are over the 203 ACs with both fields populated.
  • Pearson correlations computed in pure Python (no numpy dependency) — see pipelines/path_a_build.py.

Built from public data — ECI, Census 2011, kracekumar/tn_elections.