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Country × Country censorship correlation

Pearson correlation across 365-day daily incident vectors for the top 50 most-censored countries (by Atlas Score v2). Pairs that fire together — regional shutdown waves, regime- similar blocking patterns — light up here the day they emerge.

Computed at request time over 2,029 incidents. 1-hour ISR. Source ranking →

Want pattern similarity that allows time-shifted phases (lead / lag)? See the DTW cohort clusters →

Want directional time-shifted pairs (“A leads B by N days”) with FDR-corrected p-values? See the lead/lag pairs →

Pearson r:
−1
−0.5
0
+0.5
+1
PKUZEGINQAJOVESGAEKZAZBYBDIDMAMYIRSAVNRUTHBHKHMMTRCUCNERIQKPKWTMSYDZSSUGETOMUALBTNNGGBLYSDTZGACMYENPPKUZEGINQAJOVESGAEKZAZBYBDIDMAMYIRSAVNRUTHBHKHMMTRCUCNERIQKPKWTMSYDZSSUGETOMUALBTNNGGBLYSDTZGACMYENP

Hover any cell for the exact correlation. Diagonal masked (always r = 1). Countries with fewer than two incidents in the window appear as flat zeros — read the cell-count caveat below before interpreting weak signal.

Top 20 most-correlated pairs

  1. 01AE × THr = 0.889strong co-move between AE and Thailand.
  2. 02SG × AEr = 0.884strong co-move between SG and AE.
  3. 03QA × SGr = 0.861strong co-move between QA and SG.
  4. 04SA × THr = 0.844strong co-move between Saudi Arabia and Thailand.
  5. 05JO × BYr = 0.841strong co-move between JO and Belarus.
  6. 06SG × THr = 0.840strong co-move between SG and Thailand.
  7. 07BY × THr = 0.828strong co-move between Belarus and Thailand.
  8. 08AE × BYr = 0.826strong co-move between AE and Belarus.
  9. 09MY × KHr = 0.823strong co-move between Malaysia and KH.
  10. 10AE × SAr = 0.816strong co-move between AE and Saudi Arabia.
  11. 11QA × THr = 0.814strong co-move between QA and Thailand.
  12. 12QA × AEr = 0.814strong co-move between QA and AE.
  13. 13AE × VNr = 0.810strong co-move between AE and Vietnam.
  14. 14JO × KHr = 0.808strong co-move between JO and KH.
  15. 15BY × SAr = 0.806strong co-move between Belarus and Saudi Arabia.
  16. 16JO × SGr = 0.801strong co-move between JO and SG.
  17. 17SG × SAr = 0.795strong co-move between SG and Saudi Arabia.
  18. 18BY × KHr = 0.792strong co-move between Belarus and KH.
  19. 19QA × MYr = 0.789strong co-move between QA and Malaysia.
  20. 20SG × BYr = 0.781strong co-move between SG and Belarus.

Method & honest caveats

  • Window: 365 days ending today (2026-07-06). Vectors are daily incident counts per country.
  • Countries: top 50 by Atlas Score v2 (50% structural baseline + 50% recent activity).
  • Statistic: Pearson correlation. No significance test surfaced here — small N-days mean even high r can be noise. Treat this as an exploratory surface, not a confirmatory one.
  • The interpretation column above uses a hard-coded regional peer map. A "regional cluster" tag is a hint, not a causal claim.
  • Diagonal is masked. Negative r is rendered blue; positive red; near-zero gray.
Cite as: Voidly Atlas Correlation Matrix, 2026-07-06, voidly.ai/atlas/correlation-matrix. CC BY 4.0.