International news — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 10 September 2026 and assigned it the closest of 31 fixed categories, at 99% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and the other topics.
Growth
60 measurements spanning 91 days, net -754. 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 25,070–26,050 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 60
Measured (UTC)
Subscribers
Change
6 Nov 2026, 15:07
25,183
-27
5 Nov 2026, 14:06
25,210
+1
4 Nov 2026, 17:27
25,209
-5
3 Nov 2026, 19:07
25,214
-12
2 Nov 2026, 20:20
25,226
+2
1 Nov 2026, 22:16
25,224
-2
31 Oct 2026, 20:20
25,226
-10
30 Oct 2026, 17:36
25,236
-7
29 Oct 2026, 14:46
25,243
+6
28 Oct 2026, 15:39
25,237
-10
27 Oct 2026, 16:16
25,247
-16
26 Oct 2026, 12:49
25,263
+1
25 Oct 2026, 15:46
25,262
-21
24 Oct 2026, 15:31
25,283
-10
23 Oct 2026, 13:29
25,293
-9
22 Oct 2026, 11:19
25,302
-8
21 Oct 2026, 02:58
25,310
-4
19 Oct 2026, 22:39
25,314
-14
18 Oct 2026, 22:28
25,328
-4
17 Oct 2026, 23:34
25,332
first reading
Engagement
373 posts held, back to 28 July 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 130 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
7.81%
avg views ÷ 25,183 subscribers
Avg views / post
1,970
151 posts measured
Reaction rate
1.65%
reactions ÷ views · ER floor
Posts in window
151
of 373 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 5 November 2026
Posts held
373 (28 July 2026 – 5 November 2026)
Views total
296,841
Reactions total
4,902
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
6 Nov 2026, 09:32 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
3h 40m
Average length
50s
Measured directly from 264 videos 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
13,283 reactions across 368 posts, in 35 distinct kinds. The most used accounts for 20.8% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🤣
2,761
20.8%
🔥
1,780
13.4%
❤
1,703
12.8%
🤬
1,256
9.46%
🤡
1,230
9.26%
🕊
620
4.67%
🤯
457
3.44%
👍
416
3.13%
💩
353
2.66%
👎
282
2.12%
🤮
254
1.91%
⚡
250
1.88%
😁
249
1.87%
😢
207
1.56%
😱
184
1.39%
👏
175
1.32%
💔
117
0.881%
👀
106
0.798%
🥱
102
0.768%
🤔
96
0.723%
15 further kinds
685
5.16%
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 368 of the 373 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 13,283 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 373 most recent posts we hold, published 28 July 2026 to 5 November 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.
Telegram Stars
Stars received
10
across the posts below
Posts paid on
8
of 372 we hold a reading for · 2%
Most on one post
2
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @frontier_conflict1. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 373 most recent posts we hold for this entry, published 28 July 2026 to 5 November 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
Recent posts
Telegram’s own ‘edited’ marker: 33 of 151 posts held from the last 30 days (21.9%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
The first Chechen War was before internet became mainstream ...The Russian colonel stayed with his wounded and the rest of the radio chatter is "we're fucked". 800 russian men killed. This war was nasty. All wars of course are, but something about the absolute chaos of this one made it stand out. Now in ukraine,the average Russian dead daily is 2,000.
🇺🇸 🇺🇦 🇷🇺 U.S. Senate Democrats are preparing investigations into restrictions affecting Ukraine’s military satellite communications, with Elon Musk among those instructed to preserve relevant records, CNN reports.
A Democratic Senate aide said the Senate Foreign Relations Committee had sent document-preservation letters concerning the slowdown of Starshield services in Ukraine.
Similar requests were also sent to ba…
🇷🇺🇺🇦
Footage from 225 OSHP showing their renewed doctrine.
Troops enter enemy positions, work under the control of aerial reconnaissance, and a ground robotic complex with a combat module operates next to them. Drones everywhere: in the air and on the ground.
If a year ago, 225 OSHP had a classic Sturmtruppen (Assault Groups) tactic, now 225 is a pretty respected assault regiment due to wide usage of robotics on th…
🇺🇦🇷🇺
Archive footage of combat operations filmed with GoPro cameras by Ukrainian Special Operations Forces personnel from the ‘Grim Pack Group’ across various sections of the frontlines.
🇲🇱 🇷🇺 GoPro Footage from one of the Russian mercenaries of the Africa Corps, defending their outpost located near the Modibo Keita International Airport in Bamako, Mali following the coordinated offensive conducted by JNIM and FLA.
Footage includes the firing of a BMP-3M, several Spartak IMVs, and Tigr-M seen with Arbalet-DM Remote Controlled Weapon Stations. From the video, most of the fighting appears to have take…
🇷🇺🇺🇦🇸🇩 Archival footage of Ukraine’s Defense Intelligence (HUR) Timur Special Unit operating in Sudan.
The Ukrainian special operations unit conducted ground raids, night operations, and FPV drone strikes against RSF forces and Wagner PMC personnel supporting the rebels.
An unedited helmet cam footage of a Delta Force room-clearing raid in the outskirts / suburbs of Baghdad, Iraq during the early years of the Iraq War (Global War on Terrorism / GWOT), specifically around 2004.
🇺🇸 Business Jet Crashes Into Mobile Home Park in Palm Beach County, Florida.
A Learjet 60 reportedly crashed into a residential mobile home community in Greenacres, Florida, shortly after 1 p.m. on Sunday, November 1, 2026.
Authorities declared a mass-casualty incident, with multiple fatalities reported. The exact death toll, number of passengers aboard, and potential casualties on the ground have not yet been conf…
🇬🇧 Outrage is erupting in England after a 14-year-old boy, who stabbed a 14-year-old girl at least 10 times with a kitchen knife because she refused to date him, walked free without a prison sentence.
The judge called the attacker a “bright lad” and stated that prison was the “last place” he should be, dismissing his curfew violation by saying 14-year-olds “tend to be a little bit temperamental.” Police described th…
🤬64🤯23🤡8❤2💔2
Signed crainy
Showing the 12 most recent of 373 posts we hold for @frontier_conflict1. 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.
Posts edited after publishing
@frontier_conflict1 edited 7 posts after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
First edit seen
17 August 2026
Most recent edit
21 October 2026
Forward network
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.
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.
Channels Telegram recommends alongside this one
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Read from Telegram’s recommendation API, most recently 14 September 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
Appears in Telegram’s recommendations for other channels
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
ProjectLeaflet @TheLeaflet · 27,835 Telegram ranks this channel #1 of 71 here — alongside 70 others — read 10 September 2026
The Observers @contlictobservers · 44,755 Telegram ranks this channel #1 of 71 here — alongside 70 others — read 27 August 2026
Real News No Bullshit @RNNBS · 20,551 Telegram ranks this channel #5 of 46 here — alongside 45 others — read 23 September 2026
POPULAR FRONT @POPULARXFRONT · 31,067 Telegram ranks this channel #24 of 69 here — alongside 68 others — read 6 September 2026
Our Wars, Today @ourwarstoday · 46,154 Telegram ranks this channel #25 of 81 here — alongside 80 others — read 26 August 2026
/r/CombatFootage @r_combatfootage · 25,294 Telegram ranks this channel #30 of 59 here — alongside 58 others — read 15 September 2026
RAGE X - Intelligence | War @rageintel · 20,058 Telegram ranks this channel #38 of 79 here — alongside 78 others — read 28 September 2026
DamnedHistory⚡️ @Damhistory · 20,892 Telegram ranks this channel #41 of 78 here — alongside 77 others — read 24 September 2026
War Noir @war_noir · 53,472 Telegram ranks this channel #53 of 75 here — alongside 74 others — read 24 August 2026
This channel appears in 9 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 6 November 2026 — this
entry's latest reading, not the date you are reading this.
“frontier_conflict” (@frontier_conflict1), 25,183 subscribers as measured 6 November 2026. Telegram Register, tgregister.com/channel/frontier_conflict1.
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.