Death Counts 22 Standard deviations above Mean?
New Brunswick Provisional Weekly Death Count data
The Unacceptable Jessica substack recently revealed that death data in the New Brunswick province of Canada are skyrocketing off of the charts. I obtained the raw data from the Canadian government and formed standard scores for the weekly death counts using the first 91 weeks of data as a baseline.
Those 91 weeks covered the first week in January 2020 to the last week in September 2021.
A flat blue line represents the [97.5]th percentile value, also known as the 95% upper bound on all expected values. Due to the baseline variation in death counts, 97.5% of all recorded death counts should be below that point — if only random chance is at play.
That’s 1.96 standard deviations above the mean. Anything above that is unusual.
But those under age 45 saw their death counts rise to 22 standard deviations above their baseline average (mean weekly death). Those of age 45 to 64 saw their death counts rise to 26 standard deviations above their mean. Those of age 65 to 84 saw their death counts rise to 48 standard deviations above their mean. And those over age 84 saw their death counts rise to 55 standard deviations above their mean.
Evidence suggests that something is killing off people in New Brunswick. Death counts are at least 11 times higher than usual there. A prime suspect is the COVID vaccine, due to the vaccine uptake leading into the September 2021 anomaly.
By September 2021, circulating variants of COVID, such as Delta variant, were less than half as lethal as variants before them, such as Alpha variant — so COVID infection does not explain the anomaly of September 2021, nor the steep rise in 2022, when Omicron variant (even less lethal than Delta) predominated.