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Channel

Нейтральные. Олимпийские. Наши

@neutral_ours

Not marked by Telegram, checked 19 August 2026

On this record: Topic · Channels linked by matching posts · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Citations · Telegram's recommendations · Cite this entry

8,196subscribers

-259 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1002232202266
TypeChannel
Username@neutral_ours
DescriptionКанал журналиста Татьяны Кокориной (@tkokorina), спортивного блогера Константина Белюкова (@kostya_belyukov) и редактора Спортса Андрея Васильева
Created20 July 2024 — measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live10 November 2026
Measurements held27
Confirmed unchanged1 time, most recently 10 November 2026
On Telegramt.me/neutral_ours

Topic

Sports — 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 11 September 2026 and assigned it the closest of 31 fixed categories, at 100% 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.

Channels linked by matching posts

This channel is in a group of 2 registered channels linked by matching posts. Links are found by comparing text fingerprints across every channel on the register.

Which channel, if either, published first is deliberately not shown in this list. “First” could only mean first in our own crawl, which depends on how deep we happened to reach into each channel’s history, not on when the content was actually first posted. Our one hand-check read 45 of the highest-confidence flagged pairs against the live Telegram pages. In 18 of them the live page showed a “Forwarded from” credit that our database had no record of, so reading that pair as an unattributed copy was wrong; the check did not measure who published first. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Near-verbatim matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.

Growth

8,1968,4558,325.56 August 2026 — 8,455 subscribers7 August 2026 — 8,451 subscribers10 August 2026 — 8,448 subscribers13 August 2026 — 8,442 subscribers16 August 2026 — 8,433 subscribers19 August 2026 — 8,439 subscribers22 August 2026 — 8,427 subscribers26 August 2026 — 8,422 subscribers29 August 2026 — 8,419 subscribers1 September 2026 — 8,401 subscribers5 September 2026 — 8,384 subscribers10 September 2026 — 8,370 subscribers13 September 2026 — 8,363 subscribers18 September 2026 — 8,348 subscribers27 September 2026 — 8,325 subscribers5 October 2026 — 8,315 subscribers11 October 2026 — 8,304 subscribers14 October 2026 — 8,299 subscribers17 October 2026 — 8,300 subscribers20 October 2026 — 8,279 subscribers23 October 2026 — 8,271 subscribers25 October 2026 — 8,269 subscribers28 October 2026 — 8,266 subscribers1 November 2026 — 8,244 subscribers3 November 2026 — 8,236 subscribers6 November 2026 — 8,228 subscribers10 November 2026 — 8,196 subscribers6 August 202610 November 2026
27 measurements spanning 96 days, net -259. 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 8,157–8,494 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 27
Measured (UTC)SubscribersChange
10 Nov 2026, 05:198,196-32
6 Nov 2026, 23:198,228-8
3 Nov 2026, 22:168,236-8
1 Nov 2026, 02:568,244-22
28 Oct 2026, 18:398,266-3
25 Oct 2026, 23:168,269-2
23 Oct 2026, 02:308,271-8
20 Oct 2026, 06:178,279-21
17 Oct 2026, 12:448,300+1
14 Oct 2026, 20:358,299-5
11 Oct 2026, 14:418,304-11
5 Oct 2026, 06:598,315-10
27 Sept 2026, 03:578,325-23
18 Sept 2026, 03:168,348-15
13 Sept 2026, 12:418,363-7
10 Sept 2026, 02:218,370-14
5 Sept 2026, 02:558,384-17
1 Sept 2026, 00:548,401-18
29 Aug 2026, 03:578,419-3
26 Aug 2026, 00:038,422first reading

Engagement

95 posts held, back to 2 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 39 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
37.4%
avg views ÷ 8,196 subscribers
Avg views / post
3,070
24 posts measured
Reaction rate
4.37%
reactions ÷ views · ER floor
Posts in window
24
of 95 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
WindowRolling 30 days · latest post in window 9 November 2026
Posts held95 (2 August 2026 – 9 November 2026)
Views total73,660
Reactions total3,219
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken11 Nov 2026, 00:56 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

Photos
≈2,990
Videos
≈262
Links
≈1,880

Lifetime counters from Telegram’s own channel header, read 11 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.

Reaction mix

13,100 reactions across 95 posts, in 40 distinct kinds. The most used accounts for 54.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤7,19154.9%
🔥2,53619.4%
👏6304.81%
👍5814.44%
🤬2832.16%
🤯2261.73%
😢2221.69%
😱2101.60%
❤‍🔥1821.39%
😭1761.34%
🥰1531.17%
🏆1220.931%
🍾930.71%
💔830.634%
😍590.45%
💘510.389%
🤡470.359%
🙏390.298%
😨320.244%
🎉250.191%
20 further kinds1591.21%

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 95 of the 95 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 13,100 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 95 most recent posts we hold, published 2 August 2026 to 9 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.

Recent posts

Telegram’s own ‘edited’ marker: 13 of 24 posts held from the last 30 days (54.2%) 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).

9 Nov 2026, 23:44 UTC≈1,970 views146 reactionsread 11 November 2026

Мирра выиграла с баранкой! 6:4, 6:0 В концовке 1-го сета всё было очень плотно, а 2-й – легко и вдохновенно Для Мирры это уже 14-й за сезон сет под ноль, она лидирует в туре по баранкам, причём с большим отрывом ото всех Классный старт, классная победа всего за час с небольшим – дальше важнейший матч с Ариной Соболенко, она тоже начала Итоговый с победы @neutral_ours

❤92🔥39👏14👍1

9 Nov 2026, 17:14 UTC≈2,210 views45 reactionsread 11 November 2026
Photo

Мирра на Итоговом: сегодня дебют Первый матч этой ночью, дальше точно ещё два в группе – с первых двух мест выход в полуфинал 10 ноября, ≈1:00 мск. Мирра Андреева – Элина Свитолина (сразу после матча Арина Соболенко – Каролина Мухова) Дальше играть как раз с Соболенко и Муховой В другой группе вчера первые матчи уже выиграли Коко Гауфф и Линда Носкова @neutral_ours

❤41👍2🔥2

8 Nov 2026, 07:07 UTC≈2,280 views172 reactionsread 11 November 2026

С медалями все наши, кто приехал на Гран-при 🥇 Анастасия Мишина и Александр Галлямов 🥈Александра Трусова 🥈 Владислав Дикиджи 🥈 Александра Бойкова и Дмитрий Козловский 🥉 Евгений Семененко Следующий этап уже на следующей неделе в США, туда едут Трусова и Аделия Петросян @neutral_ours

❤135👏30🔥4🙏3

8 Nov 2026, 06:52 UTC≈2,260 views138 reactionsread 11 November 2026
Photo

У Дикиджи серебро, Семененко – с бронзой Гран-при! В произвольной программе Влад Дикиджи отыграл два места, оба опередили Шуна Сато, выиграл Као Миура Вот такое классное возвращение мужчин на Гран-при @neutral_ours

❤110🔥28

7 Nov 2026, 12:01 UTC≈2,330 views223 reactionsread 11 November 2026
Photo

Мишина и Галлямов выиграли Гран-при! Больше 10 баллов отрыва от Метёлкиной и Берулавы 1-я победа наших после возвращения @neutral_ours

❤155👍31🔥31👏6

7 Nov 2026, 10:20 UTC≈2,240 views134 reactionsread 11 November 2026
Photo

Трусова – 2-я на Гран-при Китая На 3 балла ниже Моне Чибы Для борьбы за финал Гран-при – приемлемо, теперь нужно быть в топ-2 на Skate America через неделю, там от Японии – Ами Накаи, а ещё Аделия Петросян @neutral_ours

❤91😢31🔥8🙏2👍1👏1

7 Nov 2026, 10:01 UTC≈2,230 views147 reactionsread 11 November 2026
Photo

Трусова с чистым четверным лутцем! Вся произвольная – чисто! 148,90 баллов, сумма – 221,27 У неё точно медаль, но явно шансы не просто на медаль – ждём @neutral_ours

👍73🔥48❤26

7 Nov 2026, 09:34 UTC≈2,240 views43 reactionsread 11 November 2026
Photo

Через 20 минут начинается самое главное на сегодня Женщины 12:54 – Александра Трусова (3-я после короткой программы) 13:09 – Моне Чиба, лидер Пары 14:49 – Анастасия Мишина и Александр Галлямов, лидеры Трансляции – в Okko Произвольная программа мужчин с Владиславом Дикиджи и Евгением Семененко – завтра утром @neutral_ours

❤33🔥10

6 Nov 2026, 13:55 UTC≈2,250 views79 reactionsread 11 November 2026
Photo

Семененко – 3-й, Дикиджи – 4-й после короткой Выше только два японца, набравшие больше сотни – Као Миура аж вскрикнул, когда увидел свои баллы Олимпийский чемпион Михаил Шайдоров с ошибкой на первом прыжке – 5-й @neutral_ours

❤75🔥3🤩1

6 Nov 2026, 12:53 UTC≈2,300 views112 reactionsread 11 November 2026
Photo

Семененко и Дикиджи отпрыгали всё, сделали всё Друг за другом, почти с одинаковыми баллами Евгений чуть выше, между ними всего 0,86 – причём за счет техники, компоненты на 0,6 лучше у Влада @neutral_ours

🔥78❤32👍2

6 Nov 2026, 12:12 UTC≈2,440 views88 reactionsread 11 November 2026
Photo

Мишина и Галлямов – лидеры после короткой Метёлкина и Берулава ошиблись на подкрутке, остались без ещё одного элемента – у них аж на 7,63 балла меньше Приличный отрыв у наших перед завтрашней произвольной @neutral_ours

👍64❤21🔥3

6 Nov 2026, 11:17 UTC≈2,540 views69 reactionsread 11 November 2026
Photo

Мишина и Галлямов в порядке 74,69 – выше их баллов на грузинском челленджере Они тут под 1-м номером, во 2-й разминке под 8-м – их главные соперники Анастасия Метёлкина и Лука Берулава @neutral_ours

❤62🔥7

Showing the 12 most recent of 95 posts we hold for @neutral_ours. 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

@neutral_ours edited 3 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
10 August 2026
Most recent edit
24 August 2026

Forward network

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 8 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.

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.

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.

Голый спорт
@fyiwdwytm · 20,642
Telegram ranks this channel #4 of 80 here — alongside 79 others — read 27 September 2026
Витя Кравченко
@vityakravchenko · 61,191
Telegram ranks this channel #4 of 97 here — alongside 96 others — read 22 August 2026
Олимпийский комитет России
@olympic_russia · 29,399
Telegram ranks this channel #35 of 86 here — alongside 85 others — read 8 September 2026
zanindima
@zanindima · 22,027
Telegram ranks this channel #41 of 88 here — alongside 87 others — read 30 September 2026
БОЛЬШЕ!
@tennis_bolshe · 60,947
Telegram ranks this channel #47 of 88 here — alongside 87 others — read 22 August 2026
Реальный Губер 🤘🏻
@RealGuberniev · 79,144
Telegram ranks this channel #48 of 93 here — alongside 92 others — read 18 August 2026
Шулика
@kshulika · 56,578
Telegram ranks this channel #49 of 92 here — alongside 91 others — read 24 August 2026
Across the Runiverse
@across_the_runiverse · 26,254
Telegram ranks this channel #56 of 77 here — alongside 76 others — read 13 September 2026

This channel appears in 8 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 10 November 2026 — this entry's latest reading, not the date you are reading this.

“Нейтральные. Олимпийские. Наши” (@neutral_ours), 8,196 subscribers as measured 10 November 2026. Telegram Register, tgregister.com/channel/neutral_ours.

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.