Delegitimizing the President by attributing manipulation of military casualties
2 channels · 5 posts · 125.5K reach
What it claims
Spreading contradictory figures regarding fallen servicemen is used to discredit Volodymyr Zelenskyy as an “illegitimate” leader who conceals the truth. This strategy aims to undermine trust in state institutions and create an image of a government that manipulates society for its own survival.
Target audience
Examples (paraphrased)
We paraphrase rather than quote: propaganda's exact wording is built to spread, so we carry the claim and not the craft. Each example cites the post it came from.
Zelenskyy has got tangled in his own lies by citing 50,000 dead, despite previously claiming 55,000, which looks like a “resurrection” of soldiers.
Женщина с косой, 3 Aug 2026
t.me/skosoi/9980
Actual AFU losses reach 1.5 million people, but the Office of the President ordered them to be recorded as missing in action to avoid paying compensation to widows.
Женщина с косой, 1 Aug 2026
t.me/skosoi/9950
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Goal
To provoke internal division within Ukrainian society and undermine the authority of the military-political leadership among soldiers and their families.
Techniques used
- Name Calling or LabelingUse of derogatory labels such as “cocaine fuhrer” and “Kyiv regime.”
- DoubtDeliberate juxtaposition of different casualty figures to create an impression of total government lies.
The real grievance it exploits
The deep pain of losses at the front and the anxiety of families due to the unknown fate of the missing in action.
How to counter
- Technique exposure: Propaganda exploits the difficulty of counting casualties during active hostilities to pass off data updates as “resurrecting the dead” or intentional lies.
- Reframe: Official casualty data are based on confirmed facts, whereas hostile resources are interested in maximizing the figures to demoralize the population.
Sources (all time)
3 posts · 31 Jul – 3 Aug 2026
- 3 Aug · t.me/skosoi/9980
- 1 Aug · t.me/skosoi/9950
- 31 Jul · t.me/skosoi/9946
2 posts · 31 Jul – 3 Aug 2026
- 3 Aug · t.me/MonitoringUA/93971
- 31 Jul · t.me/MonitoringUA/93888
Report as of 3 Aug 2026 · AI-generated analysis