Local community — 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 20 August 2026 and assigned it the closest of 31 fixed categories, at 74% 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.
Growth
50 measurements spanning 80 days, net +130. 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 80,585–81,498 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 50
Measured (UTC)
Subscribers
Change
25 Oct 2026, 07:27
81,333
+410
24 Oct 2026, 08:06
80,923
-43
23 Oct 2026, 09:09
80,966
+60
22 Oct 2026, 08:00
80,906
-44
20 Oct 2026, 22:59
80,950
+7
19 Oct 2026, 21:28
80,943
-151
18 Oct 2026, 22:05
81,094
+153
17 Oct 2026, 20:45
80,941
-8
16 Oct 2026, 18:37
80,949
-35
15 Oct 2026, 18:59
80,984
-117
14 Oct 2026, 17:11
81,101
-22
13 Oct 2026, 05:16
81,123
+41
9 Oct 2026, 01:39
81,082
-13
4 Oct 2026, 15:16
81,095
-73
26 Sept 2026, 08:58
81,168
-173
19 Sept 2026, 10:38
81,341
+248
17 Sept 2026, 00:18
81,093
-19
15 Sept 2026, 02:42
81,112
-70
13 Sept 2026, 13:39
81,182
+492
11 Sept 2026, 21:00
80,690
first reading
Engagement
471 posts held, back to 1 August 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 163 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
21.5%
avg views ÷ 81,333 subscribers
Avg views / post
17,500
200 posts measured
Reaction rate
0.562%
reactions ÷ views · ER floor
Posts in window
200
of 471 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 24 October 2026
Posts held
471 (1 August 2026 – 24 October 2026)
Views total
3,504,780
Reactions total
19,714
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
25 Oct 2026, 05:26 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
5h 07m
Average length
1m 05s
Measured directly from 286 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
43,927 reactions across 460 posts, in 33 distinct kinds. The most used accounts for 27.9% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
12,272
27.9%
👍
11,654
26.5%
🔥
10,142
23.1%
❤🔥
8,504
19.4%
custom 5474484844421472421
407
0.927%
👏
137
0.312%
😍
132
0.3%
🤗
64
0.146%
💯
61
0.139%
😐
54
0.123%
🎉
52
0.118%
🤝
45
0.102%
😎
42
0.096%
🤩
42
0.096%
🤔
37
0.084%
🥰
37
0.084%
👀
33
0.075%
🏆
31
0.071%
😁
29
0.066%
🤓
29
0.066%
13 further kinds
123
0.28%
Custom emoji. One row above is a Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The count beside it is Telegram’s.
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 471 of the 471 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 44,899 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 471 most recent posts we hold, published 1 August 2026 to 24 October 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
237
across the posts below
Posts paid on
75
of 471 we hold a reading for · 16%
Most on one post
52
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @gowithRussia. 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 471 most recent posts we hold for this entry, published 1 August 2026 to 24 October 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.
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Гостьей выпуска стала эксперт Открытого Лектория из США — нейробиолог Сюзана Херкулано-Хузел, которая рассказала, насколько сложно устроен человеческий мозг, скол…
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Родина — это прежде всего семья. Затем — место, где ты вырос. И конечно…
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О том, с…
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👍29❤26🔥24❤🔥16
Showing the 12 most recent of 471 posts we hold for @gowithRussia. 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
@gowithRussia edited 11 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
9 August 2026
Most recent edit
17 October 2026
Forward network
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
Republished by 134 registered channels. The 48 listed are the ones that have forwarded the most posts; the rest are counted here but not each listed.
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
Named by 216 registered channels — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it. The 24 listed below are the most frequent namers; the rest are counted above but not each listed.
Named by
Channels on the register whose posts name this channel's handle.
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
1
we ourselves saw one of these resolve, at some point
Never seen alive
0
vacant every time we have ever looked
@gowithRussia 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.
Evidenced gone
We ourselves saw each of these resolve to a real page at some point before it went vacant — a genuine, evidenced change, not an inference from absence.
@eurasianpo named in 7 posts, 17 October 2026 – 18 October 2026 · confirmed gone 10 October 2026 (two independent sightings — see how we confirm a dead handle)evidenced
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 18 August 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.
ВДНХ @vdnh_moscow · 79,488 Telegram ranks this channel #5 of 92 here — alongside 91 others — read 18 August 2026
Я люблю Россию ❤️ Путешествия @iloveru · 33,680 Telegram ranks this channel #7 of 91 here — alongside 90 others — read 4 September 2026
Путешествуем.РФ @puteshestvuem_rf · 24,602 Telegram ranks this channel #9 of 92 here — alongside 91 others — read 15 September 2026
Национальные проекты России @nationalprojectsru · 93,605 Telegram ranks this channel #11 of 95 here — alongside 94 others — read 16 August 2026
RUSSPASS @russpassmag · 40,731 Telegram ranks this channel #26 of 87 here — alongside 86 others — read 30 August 2026
Российское общество «Знание» @Znanie_Russia · 41,366 Telegram ranks this channel #31 of 98 here — alongside 97 others — read 29 August 2026
Мостуризм @moscomtourism · 70,653 Telegram ranks this channel #32 of 93 here — alongside 92 others — read 20 August 2026
Страна возможностей @strana_vozmozhnostei · 24,223 Telegram ranks this channel #45 of 95 here — alongside 94 others — read 16 September 2026
Мосволонтёр @mosvol · 19,759 Telegram ranks this channel #46 of 80 here — alongside 79 others — read 29 September 2026
Образ жизни @rflifestyle · 38,322 Telegram ranks this channel #47 of 95 here — alongside 94 others — read 31 August 2026
Минэкономразвития России @minec_russia · 22,786 Telegram ranks this channel #50 of 95 here — alongside 94 others — read 19 September 2026
Социальный фонд России @sfr_gov · 370,994 Telegram ranks this channel #52 of 82 here — alongside 81 others — read 10 August 2026
Росконгресс Директ @roscongress · 19,783 Telegram ranks this channel #53 of 93 here — alongside 92 others — read 1 October 2026
Госпаблики – Лучшее @gospubest · 53,644 Telegram ranks this channel #60 of 97 here — alongside 96 others — read 23 August 2026
Россия — страна возможностей @stranavozmojnostey · 52,342 Telegram ranks this channel #63 of 96 here — alongside 95 others — read 24 August 2026
Больше, чем путешествие @morethantrip_ru · 21,166 Telegram ranks this channel #68 of 95 here — alongside 94 others — read 24 September 2026
Общественная палата РФ | ОП РФ @oprf_official · 21,940 Telegram ranks this channel #69 of 92 here — alongside 91 others — read 22 September 2026
Культурная волна. Гранты ПФКИ @pfci_grants · 20,757 Telegram ranks this channel #75 of 96 here — alongside 95 others — read 26 September 2026
Лапша Медиа @lapshamedia · 39,236 Telegram ranks this channel #81 of 94 here — alongside 93 others — read 30 August 2026
Продвижение @PRoddigital · 39,099 Telegram ranks this channel #85 of 97 here — alongside 96 others — read 30 August 2026
This channel appears in 20 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
Cross-platform identity — Wikidata
2 Wikidata items name this Telegram handle as belonging to the entity it describes. This is Wikidata’s claim, not a verification made by this register — nobody here confirmed that the account is genuinely operated by the entity named. Wikidata content is CC0; every fact below is dated to when it was read from Wikidata, not to when the association was first made there.
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 25 October 2026 — this
entry's latest reading, not the date you are reading this.
“Национальный центр «Россия»” (@gowithRussia), 81,333 subscribers as measured 25 October 2026. Telegram Register, tgregister.com/channel/gowithRussia.
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.