Evidence that Jabs double Ultra-high Excess Death

Symmetric time-series analysis

In this Substack, it was discovered that weeks with very high (70%+) excess death became more common after jabs rolled out — indicating that jabs lead to very high death, with a very large sample of the world’s nations with data at OWID (cited below).

Here, the critical threshold is raised to ultra-high (150%) weekly excess death. Here is the distribution of weeks with ultra-high weekly excess death:

In this graph, there are 8 time dividers leading to 9 time windows. The 5th time-window (the middle window) includes jab rollouts and was excluded from the statistical analysis.

If jabs did not increase excess death, then at the very worst you would expect equal instances of ultra-high death on the left of the graph and on the right of the graph. That uniform distribution of ultra-high weekly deaths was tested in a hypothesis test. Here are the results:

If a uniform distribution of ultra-high weekly excess deaths held true in the real world, the chance of “accidentally” finding this lop-sided sample of ultra-high weekly excess death would be less than 1% (hypothesis test was significant at alpha = 0.01).

Evidence suggests that COVID jabs approximately double the amount of ultra-high excess death, and they should therefore be halted until scientists can figure out why.

Places which had ultra-high (150%+) weekly excess death in OWID dataset:

# Name
1 Andorra
2 Armenia
3 Azerbaijan
4 Bermuda
5 Bolivia
6 Cuba
7 Ecuador
8 French Guiana
9 French Polynesia
10 Gibraltar
11 Guadeloupe
12 Hong Kong
13 Iran
14 Kuwait
15 Martinique
16 Mayotte
17 Mexico
18 Nicaragua
19 Oman
20 Paraguay
21 Peru
22 South Africa
23 Spain
24 Tunisia

Reference

[P-scores using five-year average baseline] — OWID. https://ourworldindata.org/excess-mortality-covid