Comparing the populations of the vaccinated and unvaccinated from the UK dataset, we get this:
| Week Ending | Unvaccinated minus Vaccinated |
|---|---|
| 03/19/21 | 18,711,628 |
| 03/26/21 | 16,638,805 |
| 04/02/21 | 15,163,725 |
| 04/09/21 | 14,511,134 |
| 04/16/21 | 13,695,757 |
| 04/23/21 | 12,731,409 |
| 04/30/21 | 11,882,163 |
| 05/07/21 | 10,747,085 |
| 05/14/21 | 9,125,109 |
| 05/21/21 | 7,260,727 |
| 05/28/21 | 5,103,106 |
| 06/04/21 | 3,378,445 |
| 06/11/21 | 1,467,597 |
| 06/18/21 | -213,356 |
| 06/25/21 | -1,652,740 |
| 07/02/21 | -2,859,353 |
| 07/09/21 | -3,802,480 |
| 07/16/21 | -4,651,527 |
| 07/23/21 | -5,445,565 |
| 07/30/21 | -6,130,821 |
| 08/06/21 | -6,787,382 |
| 08/13/21 | -7,536,744 |
| 08/20/21 | -8,363,901 |
| 08/27/21 | -9,173,408 |
| 09/03/21 | -9,728,848 |
| 09/10/21 | -10,180,954 |
| 09/17/21 | -10,508,181 |
| 09/24/21 | -10,757,024 |
The unvaccinated population exceeded the vaccinated population until June 18, at which point they crossed. By the end of the dataset, the vaccinated population exceeded the unvaccinated population by the same amount that the unvaccinated exceeded the vaccinated on May 7.
So how do you explain the steadiness of the graph despite the flip-flop in population size?
How do you explain the data points on June 19 when the two populations were equal in size? Shouldn't the age factors have applied equally to both populations given that both populations were equal in size?
-PJ
Seriously?
It's a graph of the mortality rate per 100,000.
The absolute size of the populations is irrelevant.
What matters is demographic similarity, which is missing.