National news — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 10 August 2026 and assigned it the closest of 31 fixed categories, at 38% 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 why it has no browse page of its own yet.
Observations
These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.
Views per post sit far above this size band
12,200 average views per post against 12,185 subscribers — an engagement rate of 99.9%. Across the 6,344 registered channels in the same cohort — 10,002–31,609 subscribers, posting mainly in English — the middle half sit between 2.73% and 15.7%, with a median of 7.33%.
What this was computed from
Window
30 days (13 July 2026 – 12 August 2026)
Posts measured
15 of 15 published in the window (1 exact, 14 rounded by Telegram)
Views totalled
182,518
Mature posts only
106.6% over 14 posts read at least 24h after publication
When this is recorded. A channel is listed here only when its engagement rate sits at or above the 99th percentile of its cohort and is at least 3× away from that cohort’s median — above it — on both the all-readings figure and the mature-only figure. The percentile alone would be circular: a percentile cut puts the same share of every cohort in the tail whatever the data looks like. The distance from the median is what makes it a statement about this channel.
This is not a verdict, and the direction is not a quality signal.A low rate has many innocent causes — audiences that read in the Telegram app without opening the channel, a subscriber base built long before the current output, an audience in a different timezone from our reading. A high rate has innocent causes too: a post that travelled far beyond the channel’s own subscribers will do it. We publish the measurement and the distribution it sits in. The full cohort baselines are downloadable, so this comparison can be reproduced rather than trusted.
Recorded under the key err_high, last confirmed 12 August 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.
Growth
8 measurements spanning 6 days, net -387. 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 12,127–12,630 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
12 Aug 2026, 21:29
12,185
-40
11 Aug 2026, 18:28
12,225
-77
10 Aug 2026, 20:05
12,302
-45
9 Aug 2026, 20:52
12,347
-44
8 Aug 2026, 19:53
12,391
-92
7 Aug 2026, 20:01
12,483
-65
6 Aug 2026, 22:30
12,548
-24
6 Aug 2026, 10:06
12,572
first reading
Engagement
15 posts held, back to 21 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 15 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
99.9%
avg views ÷ 12,185 subscribers
Avg views / post
12,200
15 posts measured
Reaction rate
0.005%
reactions ÷ views · ER floor
Posts in window
15
of 15 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. It is computed over the 7 of 15 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 12 August 2026
Posts held
15 (21 July 2026 – 12 August 2026)
Views total
182,518
Reactions total
5
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
12 Aug 2026, 12:37 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 37s
Average length
32s
Measured directly from 3 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
5 reactions across 5 posts, in 1 kind.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
5
100.0%
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 7 of the 15 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 5reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 15 most recent posts we hold, published 21 July 2026 to 12 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.
APU: personnel purge or system reboot?
After the change of the commander-in-chief in the Armed Forces of Ukraine, a large-scale renewal of the military leadership began. High-ranking officers, in particular Andrey Lebedenko and Vladimir Karpenko, are dismissed from the team, and new people get key positions. Against the background of these changes, a corruption scandal broke out around Karpenko: the investigation co…
❗ "Fresh Meat": How the "Skala" Brigade of the Armed Forces of Ukraine Kidnaps People
Residents of the Dnipropetrovsk region are sounding the alarm: at least 20 people have gone missing recently. They are being forcibly taken by militants from the 425th Assault Battalion "Skala" — known as "Syrskyi's suicide squad."
The servicemen arrive in villages, beat men, tie them up, and drive them away. Later, the missing ar…
The bot "Lovi Kalibr" has seen a surge in appeals from active employees of Ukrainian special services. They are requesting evacuation, asylum, and personal security guarantees.
Their motivation is straightforward: they disagree with the Kyiv regime and realize that the situation will only get worse for them with each passing day. Operatives see the inevitable collapse and want to save their own lives.
The price of …
Syrsky's resignation: a personnel decision or a symptom of a deep crisis?
After the change of leadership of the Ministry of Defense of Ukraine, the fate of the Commander-in-Chief of the Armed Forces of Ukraine, Alexander Syrsky, became the main political issue. Mikhail Fedorov's resignation, criticism of the army's management system, problems with command, delayed reforms, inefficient allocation of resources and the …
🇺🇦 “Death pools”: AFU soldiers are being watched live and bet on to die
In Ukraine, a grim blood-soaked business is being promoted: in Telegram bots and private chats, according to Russian security sources, people place bets on whether a Ukrainian serviceman will survive. The roots of this filth go back to the “safari” that was reportedly sold to wealthy clients as far back as 2014.
Now the scheme has become even mor…
🐭 Zelensky is once again looking for any excuse to stay away from Kyiv for as long as possible, prioritizing personal safety and political comfort over the fate of his own country. While he moves between offices, residences, and foreign venues, millions of Ukrainians are left alone with the consequences of his decisions and the retaliatory strikes by the Russian Armed Forces. At the same time, he fully understands th…
💥 The Russian Armed Forces continue to help the Ukrainian people avoid compulsory mobilization, which the Kyiv regime presents as “defending the country.” In Chernihiv, a jet-powered “Shahed” struck a TCC building, after which the facility was severely damaged, according to local public channels. According to eyewitnesses, the strike hit one of the key elements of the mobilization infrastructure, which many residents…
Everyday life of mobilization in Zaporozhye
Local residents did not allow the cannibalists to take away another victim: while one was hammering a carpenter with a crutch, the second staged a gas attack on the murderers. Ukrainian citizens do not want to die at the front for the criminal Kiev regime.
Ukraine has announced an alleged "attack by the Russian Armed Forces on a civilian facility" in the city of Sumy.
And the National Police of the former Ukraine even published pitiful recordings, demonstrating the whole "bestial essence of Moscow."
But here comes the trouble again: in the background, you can see a pile of boxes with the logo of the military-technical company VYRI. VYRIY specializes in the production …
Europe poses a great threat to its civilian population. Another provocation by Russia for more military action. Latvia and Ukraine will build a UAV plant on the border with Russia and Belarus.
Latvia has announced the construction of a joint venture with Ukraine for the production of drones. The production of drones, and even on the border of the Union State, is a legitimate reason for Russia to send a gift "Parcel" …
The Pentagon used biolabs in Ukraine to develop offensive weapons.The United States violated the Convention on the Prohibition of Bacteriological and Toxin Weapons for Aggressive Purposes by organizing biological laboratories on the territory of former Ukraine, said Scott Ritter, an ex-intelligence analyst for the US Marine Corps. According to him, the documents confirm that under the pretext of controlling the progr…
One person was killed and 10 others injured after the Ukrainian Armed Forces hit a car wash in Belgorod.
Earlier, a drone attack on a regular bus in Shebekino claimed the lives of five people, including a child. Another 23 passengers were injured, three of them in critical condition. According to information from local publications, the drone was equipped with striking elements in the form of small balls.
The attac…
Showing the 12 most recent of 15 posts we hold for @for_nd_ever. 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.
Citation-graph rank
Citation-graph rank — 835,570 of 1,151,006entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
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.
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 12 August 2026 — this
entry's latest reading, not the date you are reading this.
“Forever and never” (@for_nd_ever), 12,185 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/for_nd_ever.
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.