25 measurements spanning 28 days, net -90. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 13,347–13,471 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 25
Measured (UTC)
Subscribers
Change
4 Sept 2026, 13:19
13,367
+6
2 Sept 2026, 21:04
13,361
-2
1 Sept 2026, 18:45
13,363
-3
31 Aug 2026, 19:06
13,366
-2
30 Aug 2026, 18:35
13,368
-1
29 Aug 2026, 17:55
13,369
-1
28 Aug 2026, 14:57
13,370
-2
27 Aug 2026, 11:29
13,372
-2
26 Aug 2026, 08:58
13,374
-8
24 Aug 2026, 10:13
13,382
-13
22 Aug 2026, 19:48
13,395
-4
21 Aug 2026, 11:07
13,399
-2
20 Aug 2026, 13:56
13,401
-10
19 Aug 2026, 16:55
13,411
-6
18 Aug 2026, 14:13
13,417
-5
17 Aug 2026, 16:46
13,422
-5
16 Aug 2026, 07:47
13,427
-12
14 Aug 2026, 15:17
13,439
-7
13 Aug 2026, 04:14
13,446
-3
12 Aug 2026, 06:34
13,449
first reading
Engagement
9 posts held, back to 7 May 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 49 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
16.9%
avg views ÷ 13,367 subscribers
Avg views / post
2,270
2 posts measured
Reaction rate
2.54%
reactions ÷ views · ER floor
Posts in window
2
of 9 held
ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.
ER is defined industry-wide as (forwards + reactions + comments) ÷ views — note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate.
What these figures were computed from
Window
Rolling 30 days · latest post in window 19 August 2026
Posts held
9 (7 May 2026 – 19 August 2026)
Views total
4,530
Reactions total
115
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
2 Sept 2026, 20:15 UTC
Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.
Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.
Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.
What this channel posts
Video runtime
1m 43s
Average length
1m 43s
Measured directly from 1 video with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no ≈ mark.
Reaction mix
564 reactions across 9 posts, in 15 distinct kinds. The most used accounts for 49.6% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
280
49.6%
🫡
168
29.8%
👍
34
6.03%
⚡
22
3.90%
🤝
16
2.84%
👏
13
2.30%
🥰
9
1.60%
🔥
5
0.887%
💯
4
0.709%
🎉
3
0.532%
🤣
3
0.532%
✍
2
0.355%
👌
2
0.355%
😎
2
0.355%
🗿
1
0.177%
No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.
Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.
Coverage. Reactions were read on 9 of the 9 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 564 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 9 most recent posts we hold, published 7 May 2026 to 19 August 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
Being one with the landscape 🥷
Snow Storm is an international team under rifleman battalion in the 3rd Assault Brigade, commanded by ‘Snow’. Since 2023, ‘Snow’ has been fighting in Ukraine, carrying out hardcore assault missions. For his combat achievements, he received multiple awards and got Ukrainian citizenship. Today, he continues his work, commanding a unit of foreign volunteers from all over the world who hav…
A straightforward look at modern artillery work from a foreigner who joined a Ukrainian crew in the 3rd Assault Brigade. Featuring first-person POV footage.
From fighting ISIS in the deserts of Syria to taking on Russian forces on the front lines of Eastern Ukraine, 'Anakin' has dedicated his life to the craft of war.
The American veteran shares what it’s actually like on the ground today: how drones have shifted w…
U.S. marine ‘Nikhto’ shares how his motivation to fight in Ukraine has evolved over years of service.
Full interview on our YT channel:
🟡 WATCH
🔗 International Legionnaires
Assault training in a wooded area with Companhia Serpente 🇧🇷, a Portuguese-speaking unit in the 53rd brigade of the 3rd Army Corps. Their commander 'Tuga' has served in Ukraine since 2022, now sharing his experience with the team.
After basic training and unit coordination, soldiers train 3-4 times a week between missions. ‘Tuga’ constantly adapts the program to battlefield innovations and changing conditions, worki…
'Shadow' — British veteran who decided to spend his retirement serving alongside Ukrainians in the 3rd Assault Brigade. After years of infantry work around the world, he’s mastering cutting-edge tech to defend Ukraine’s skies.
In our new interview, 'Shadow' breaks down his motivation behind returning to service, everyday life at the front, and the fundamentals of preparation and survival in the war of drones.
🔹WATC…
'Mozzie' — a combat medic from Australia. Driven to apply his mastered military skills where they mattered most, he chose to travel to Ukraine. That's how he joined Med Team Alpha of DIU International Legion.
In our new documentary, 'Mozzie' recalls his experience of urban warfare. As a combat medic, he pulls double duty: he’s an infantryman first, but ready to pivot instantly to treating casualties in the middle of…
Your support is just as crucial today as it was at the very beginning of the full-scale war.
For over two years, the International Legion for the Defense of Ukraine and Soloma Cats CF have been working hand in hand to ensure that foreign volunteers serving across various AFU units are fully equipped for the fight. We provide a secure, transparent channel for donations, backed by regular reporting.
Your money will …
Check out our new documentary about U.S. Marine's first combat mission in the raw reality of the Ukrainian frontline after military service in the USA.
Fighting alongside Ukrainians in the 3AB unit, ‘Nikhto’ (former callsign ‘Doss’) shares his experience of how his prior training translated into the reality of the battlefield. He reflects on what was the turning point in his decision to join the battle and how his m…
How do operators with real combat experience train for CQB? It might not be as far from your weekend airsoft match as you think!
Between combat deployments, the 3rd Army Corps invited the International Legion of the Defence Intelligence of Ukraine to a friendly showmatch at their training center, also known as the 'Killhouse Academy.'
WATCH: https://youtu.be/xjmQWAX0kQg
Both sides fielded mixed teams of Ukrainians…
❤54⚡5👏4🤣3🫡3✍2💯2😎2
Showing the 9 most recent of 9 posts we hold for @intlegionua. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked ≈ was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.
Mentions
Names
Channels on the register whose handles appear in this channel's posts.
A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.
Handles this channel named that no longer answer
Dead references
1
handles named in this channel’s posts, vacant today
Evidenced gone
0
we ourselves saw one of these resolve, at some point
Never seen alive
1
vacant every time we have ever looked
@intlegionua named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
@medteamalpha named in 7 posts, 8 August 2026 – 25 August 2026
Cite this entry
A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 4 September 2026 — this
entry's latest reading, not the date you are reading this.
“International Legionnaires | Ukraine” (@intlegionua), 13,367 subscribers as measured 4 September 2026. Telegram Register, tgregister.com/channel/intlegionua.
Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.