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 11 August 2026 and assigned it the closest of 31 fixed categories, at 67% 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.
Content that also appears on other registered channels
Posts published here appear word for word on 1 other registered channel. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.
Matching posts — open both and compare (5 of the pairs behind the counts below)
Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.
What this cannot establish
MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.
Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. None of the 1 matches recorded here fall after that date, so for this entry we cannot say whether any of them carried a credit. The duplication is measured; the absence of attribution is not.
“Published first” means first in this corpus. We hold 9 comparable posts for this entry, running 22 April 2026 to 29 June 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.
The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.
Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).
Across the whole group of 2, the earliest publisher we hold is @nizhnekamsknow — which is this entry. That is a statement about our reading window, not a claim of authorship.
Recorded under the key clone_source, last confirmed 7 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.
Also posting the same content
This channel’s posts match, word for word or near enough, posts on 1 other registered channel, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.
Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word 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.
11 measurements spanning 34 days, net -7. 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 1,689–1,705 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
10 Sept 2026, 03:42
1,691
-3
4 Sept 2026, 22:40
1,694
-1
1 Sept 2026, 16:12
1,695
-1
29 Aug 2026, 22:19
1,696
-2
27 Aug 2026, 05:54
1,698
-5
20 Aug 2026, 05:52
1,703
+3
16 Aug 2026, 22:07
1,700
-2
13 Aug 2026, 14:05
1,702
+3
10 Aug 2026, 11:06
1,699
+1
7 Aug 2026, 16:18
1,698
no change
7 Aug 2026, 12:14
1,698
first reading
Engagement
10 posts held, back to 22 April 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 1 page of Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 10 posts for this entry, the most recent from 29 June 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
3m 28s
Average length
1m 09s
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
122 reactions across 9 posts, in 4 distinct kinds. The most used accounts for 34.4% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
42
34.4%
👍
41
33.6%
❤
38
31.1%
🤮
1
0.82%
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 10 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 122 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 10 most recent posts we hold, published 22 April 2026 to 29 June 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.
🦅 У орланов Чулмана и Камы из парка «Нижняя Кама» сразу две важные новости
Теперь у их птенца появилось имя — Тузганак, что в переводе с татарского означает «одуванчик». Такое имя выбрали неслучайно: совсем недавно малыш был белым и пушистым, словно маленький одуванчик.
А ещё Тузганак прошёл свою первую важную процедуру — кольцевание. Орнитолог Ринур Бекмансуров поднялся к гнезду, провёл необходимые измерения, опре…
СИБУР начал масштабную реконструкцию Парка нефтехимиков в Нижнекамске
В День химика в старте реконструкции приняли участие Раис Татарстана Рустам Минниханов и генеральный директор СИБУРа Михаил Карисалов.
Каким будет обновленный парк решали сами нижнекамцы: проводились онлайн-анкетирование и интервью посетителей парка.
Здесь появится круглогодичная инфраструктура: фонтан, амфитеатр-каток, креативные детские и спор…
🦅 В Татарстане у орланов Чулмана и Камы появился птенец
Сегодня рано утром в гнезде орланов-белохвостов в национальном парке «Нижняя Кама» произошло долгожданное пополнение.
Малыш уже активно двигается, пытается поднимать голову и постоянно щебечет. Всё это время мама Кама заботится о птенце, а Чулман успел показать себя настоящим защитником семьи.
За жизнью пары в режиме онлайн наблюдают тысячи зрителей. Проект п…
👨🏻🎓Инженеров больше не ищут — их начинают готовить со школы
В Татарстане растёт кадровый дефицит — число вакансий уже превысило 52 тысячи. В этих условиях бизнес меняет подход и начинает работать с будущими специалистами ещё на школьном этапе.
Такую модель выстраивают компания «Татнефть» и Высшая школа нефти. Один из инструментов — Международная олимпиада имени Матвеева, которая становится стартовой точкой для бу…
СИБУР направил на развитие образовательной инфраструктуры Нижнекамска более 2,8 млрд рублей
🏗 В ключевой объект – центр «СИБУРИНТЕХ – Нижнекамск» – компания инвестировала 1,8 млрд рублей.
📚 На капремонт и цифровую трансформацию лицея №35 СИБУР направил 335,6 млн руб. и еще 180 млн выделено из бюджета республики.
🏢На капитальный ремонт колледжа им. Лемаева выделят 430 млн руб. – половину из требуемых средств инвест…
🏆ТАНЕКО вошёл в число лучших предприятий СНГ по качеству продукции и услуг
Нефтеперерабатывающий комплекс «Татнефти» «ТАНЕКО» стал лауреатом Премии СНГ за 2025 год. В конкурсе участвовали предприятия из шести стран, а победителями признаны только 25 компаний.
«ТАНЕКО» представлял Россию среди крупных производств и прошёл многоэтапную международную оценку — от анализа показателей до выездной проверки. Этот результат…
🛞 Куда сдать старые шины и почему их нельзя просто выбросить
Сезон переобувки в самом разгаре, и у водителей возникает вопрос, что делать со старыми покрышками. Выбрасывать их нельзя — такие отходы запрещено оставлять у контейнеров, закапывать или сжигать.
В Нижнекамске шины можно бесплатно сдать на переработку на специальных площадках и АЗС «Татнефти». Из них делают резиновую крошку и сырьё для промышленности.
Гд…
Осмелившийся побеждает!
В Африканский корпус Минобороны РФ набирают крепких мужчин (с опытом участия в БД и без), а также женщин с медицинским образованием. Работа за границей, реальные задачи и высокий доход. Нужны специалисты разного профиля: от военных (летчики, мотострелки, артиллеристы, операторы БПЛА) до гражданских (водители, механики, повара, электрики, переводчики).
📲 Подать заявку: @contractAK_bot
💰 Усло…
🦅 В Татарстане у знаменитой пары орланов-белохвостов начался новый сезон
В Национальном парке «Нижняя Кама» у орланов Чулмана и Камы появилось первое яйцо. Этого момента с нетерпением ждали и учёные, и наблюдатели. Несмотря на небольшую задержку с началом кладки, птицы уложились в естественные сроки.
Это уже пятый непрерывный сезон размножения пары — такой продолжительностью могут похвастаться единицы.
За их жизнь…
❤15👍4🔥2
Showing the 10 most recent of 10 posts we hold for @nizhnekamsknow. 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.
Forward network
Republishes
Channels on the register whose posts this channel has forwarded.
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.
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.
Нижнекамск | События | Подслушано @Nizhnekamsk_podslushal · 36,075 Telegram ranks this channel #3 of 48 here — alongside 47 others — read 9 September 2026
ТатарстанДа! @tatarstan_da · 27,388 Telegram ranks this channel #72 of 96 here — alongside 95 others — read 12 September 2026
ВТП | В Татарстане Поймут @vkazani · 42,067 Telegram ranks this channel #95 of 98 here — alongside 97 others — read 30 August 2026
This channel appears in 3 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 September 2026 — this
entry's latest reading, not the date you are reading this.
“Нижнекамск | Сейчас” (@nizhnekamsknow), 1,691 subscribers as measured 10 September 2026. Telegram Register, tgregister.com/channel/nizhnekamsknow.
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.