This number might count soldiers several times. If a soldier gets injured and becomes a casualty, they can heal up and then serve again. So the same soldier could be injured and recover three times and then be killed. That would make hm a causally four times.
The Oryx numbers at least are not underestimated – each single number has a photo to prove it. And the numbers published by ZSU always rise and descend hand-in-hand with those of Oryx – there seems to be a more or less fixed coefficient that you can convert the numbers back and forth.
Also, because the ZSU data is published before that of Oryx, it must be based on actual data. Then, the question is: what is the coefficient between reality and these numbers we keep seeing in these brown images. We have got a couple of leaks from the Russia, and they have been almost precisely the same as the data published by ZSU. Therefore, the coefficient is apparently 1.
I find it very surprising that the ZSU numbers are not inflated, but when trying to find evidence on how much they are inflated, I’ve only found evidence of them actually being as precisely correct as possible.
this type of propaganda is useless. few people even care or believe these numbers.
This number might count soldiers several times. If a soldier gets injured and becomes a casualty, they can heal up and then serve again. So the same soldier could be injured and recover three times and then be killed. That would make hm a causally four times.
The Oryx numbers at least are not underestimated – each single number has a photo to prove it. And the numbers published by ZSU always rise and descend hand-in-hand with those of Oryx – there seems to be a more or less fixed coefficient that you can convert the numbers back and forth.
Also, because the ZSU data is published before that of Oryx, it must be based on actual data. Then, the question is: what is the coefficient between reality and these numbers we keep seeing in these brown images. We have got a couple of leaks from the Russia, and they have been almost precisely the same as the data published by ZSU. Therefore, the coefficient is apparently 1.
I find it very surprising that the ZSU numbers are not inflated, but when trying to find evidence on how much they are inflated, I’ve only found evidence of them actually being as precisely correct as possible.