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Channel

Нижнекамск. Новости

@nkvknew

On this record: Topic · Observations · Also posting the same content · Growth · Engagement · What this channel posts · Reactions · Stars · Advertising · Posts · Citations · Telegram's recommendations · Cite this entry

50,255subscribers

+1,247 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 31,623–100,000.

Register entry

Telegram ID-1001180725247
TypeChannel
Username@nkvknew
Created6 January 2019measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded7 August 2026
Last confirmed live15 August 2026
Measurements held9
Confirmed unchanged1 time, most recently 15 August 2026
On Telegramt.me/nkvknew

Topic

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 86% 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. They sit inside a group of 3 channels that share the same post bodies with each other. 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 (2 of the pairs behind the counts below)
Posted firstThenOverlapGap
@nkvknew/84427 · this entry7 Aug 2026, 09:04 UTC@nov_nk/93147 Aug 2026, 09:14 UTC1.0011 minutes
@nkvknew/84453 · this entry7 Aug 2026, 13:00 UTC@nov_nk/93347 Aug 2026, 13:25 UTC1.0025 minutes
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@nov_nk8 (8/8 hand-verifiable sample passed)1.0029 minutesthis entry (80)

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 0 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 25 comparable posts for this entry, running 6 August 2026 to 7 August 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 3, the earliest publisher we hold is @moynizhnekamsk. That is a statement about our reading window, not a claim of authorship.

Recorded under the key clone_source, last confirmed 8 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 2 other registered channels, 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.

Growth

48,95550,40949,6827 August 2026 — 49,008 subscribers7 August 2026 — 48,989 subscribers9 August 2026 — 48,976 subscribers10 August 2026 — 48,955 subscribers11 August 2026 — 50,409 subscribers12 August 2026 — 50,360 subscribers13 August 2026 — 50,304 subscribers14 August 2026 — 50,266 subscribers15 August 2026 — 50,255 subscribers50,2557 August 202615 August 2026
9 measurements spanning 9 days, net +1,247. 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 48,737–50,627 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
15 Aug 2026, 17:4250,255-11
14 Aug 2026, 05:4850,266-38
13 Aug 2026, 00:5350,304-56
12 Aug 2026, 03:4650,360-49
11 Aug 2026, 00:3150,409+1,454
10 Aug 2026, 00:5148,955-21
9 Aug 2026, 02:3148,976-13
7 Aug 2026, 23:4348,989-19
7 Aug 2026, 00:1549,008first reading

Engagement

171 posts held, back to 6 August 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 22 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
7.92%
avg views ÷ 50,255 subscribers
Avg views / post
3,980
171 posts measured
Reaction rate
0.647%
reactions ÷ views · ER floor
Posts in window
171
of 171 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 162 of 171 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 15 August 2026
Posts held171 (6 August 202615 August 2026)
Views total680,241
Reactions total4,340
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken15 Aug 2026, 12:00 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
12m 15s
Average length
41s

Measured directly from 18 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

4,340 reactions across 160 posts, in 29 distinct kinds. The most used accounts for 21.5% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
93521.5%
🤡60013.8%
🙏49011.3%
👍47110.9%
😭2656.11%
😁1974.54%
💔1944.47%
🤬1934.45%
💩1703.92%
👎1493.43%
😢1343.09%
🔥1252.88%
😱1012.33%
😨581.34%
🍾451.04%
🤮451.04%
🗿390.899%
🤔250.576%
😎190.438%
👏180.415%
9 further kinds671.54%

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 162 of the 171 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 4,340reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 171 most recent posts we hold, published 6 August 2026 to 15 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.

Telegram Stars

Stars received
12
across the posts below
Posts paid on
5
of 171 we hold a reading for · 3%
Most on one post
5
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @nkvknew. 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 171 most recent posts we hold for this entry, published 6 August 2026 to 15 August 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.

Advertising

Ad load
6.43%
11 of 171 posts carry an ad marker
Regulatory tokens
11
posts carrying an erid · 9 distinct tokens
Median views · ads
2,470
over 11 measured posts
Median views · rest
2,260
over 160 measured posts

An ad marker, not a judgement about a post. A post is counted here because it carries one of two explicit markings: an erid token, which Russian law has required on paid placements since 2022 and which is issued against a specific advertising contract, or a #реклама / #ad hashtag in the body, which is the channel declaring it itself. The first is documentary; the second is a self-declaration and is weaker. No classifier reads the text and decides — nothing on this site guesses that a post is an advertisement.

This is a floor, and it can only ever be a floor.A channel that runs paid placements without marking them produces no marker for us to count, and an unmarked ad is indistinguishable from an ordinary post on the public surface. The ad load above therefore means “the share of posts that declared themselves”, never “the share of posts that were paid for”. A low figure is not evidence of a channel that runs few ads.

Both figures are medians, and no ratio between them is published. Each is a view reading that actually occurred on a post, picked by percentile_disc rather than averaged, so one viral post cannot move it and no interpolated value is invented between two readings. They are printed side by side with the count behind each rather than as a ratio: an ad and an ordinary post are not otherwise matched — for topic, for length, for hour of day — so the gap between them is a description of two groups and not the effect of one being an ad.

Advertising tokens recorded on this entry
eridPostsFirst seenLast seen
2Vtzquidtqg28 August 202610 August 2026
2VtzqvBAtjD26 August 202610 August 2026
2VtzquZVWJK17 August 20267 August 2026
2Vtzqv8E3qZ113 August 202613 August 2026
2VtzqvkLvCj114 August 202614 August 2026
2Vtzqvqmw2K16 August 20266 August 2026
2Vtzqw5CCMR18 August 20268 August 2026
2VtzqwH6UxT113 August 202613 August 2026
2VtzqwaZBHD111 August 202611 August 2026

A token repeated across several posts is one advertising contract placed more than once, which is what the identifier is for. The strings are reproduced exactly as they appeared in the post or in its click-through URL and are not validated against any registry — we record the marker a channel published, and whether it resolves to a real contract is a question for the register that issued it.

Measured over the 171 most recent posts we hold, published 6 August 2026 to 15 August 2026. Views are the latest single reading held for each post, and any reading at or above 1,000 is rounded by Telegram to three significant figures.

Recent posts

15 Aug 2026, 10:37 UTC≈1,170 views5 reactionsread 15 August 2026
Forwarded from @narod_nkPhoto

По поводу ситуации 14.08, которая происходит постоянно. Мы с другими садоводами не смогли вовремя отправиться в сады-огороды, из-за чего потеряли значительное время. Причина в том, что было объединение двух маршрутов 121, 121а в один рейс. В результате на посадке возникла путаница, так как часть людей ждала один маршрут, часть — другой, а кто-то вообще остался без автобуса. В итоге плановой поездки были вынуждены жда

3👍1💩1

15 Aug 2026, 09:55 UTC≈1,670 views18 reactionsread 15 August 2026
Photo

Девушку сбила легковушка в Нижнекамске Как сообщают представители местной Госавтоинспекции, авария случилась напротив дома №8Б на улице Студенческая. Предварительно, 19-летний парень за рулем «ВАЗ-2114», сдавая задним ходом, сбил 18-летнюю девушку. У пострадавшей медики диагностировали ушибы запястья, локтя, голени. Не госпитализирована.

🤬13😢3🤡1😎1

15 Aug 2026, 09:22 UTC≈1,790 views10 reactionsread 15 August 2026
Forwarded from @moynizhnekamskPhoto

Из чего складывается семейное счастье? Молодожёны Нижнекамска уверены: из любви и заботы, поддержки и верности, тепла, внимания — и, конечно, детей 💛 🍯 В Медовый Спас во Дворце бракосочетания пары присоединились к трогательной акции: на «сотах» написали слова, которые считают главными для крепкой семьи, и собрали их в одну общую рамку. Получилась настоящая «картина счастья» — живая, искренняя, созданная самими молод

💩63👍1

15 Aug 2026, 08:28 UTC≈1,710 views30 reactionsread 15 August 2026
Forwarded from @nka_112

Рустам Минниханов сообщил о поступающих жалобах на неудовлетворительное состояние укрытий, отсутствие информации о месте их нахождения, недоступности подвальных помещений. Он поручил обеспечить населению доступ к укрытиям при объявлении воздушной тревоги в любое время сутокПри проверки укрытий в 396 многоквартирных домах обнаружились недостатки, а на некоторых объектах промышленности не отработан алгоритм действий"

🤡272👍1

15 Aug 2026, 06:00 UTC≈2,790 views15 reactionsread 15 August 2026
Forwarded from @rt_112_rt

Внимание! На территории Республики Татарстан режим «Беспилотная опасность» ОТМЕНЕН. iimax.ru/Tatarstan

13😁1🙏1

15 Aug 2026, 04:11 UTC≈3,550 views42 reactionsread 15 August 2026
Forwarded from @moynizhnekamskPhoto

Наши милые жительницы ежедневно заботятся о клумбах у своих домов: поливают, пропалывают цветы — и благодаря этому Нижнекамск становится ещё уютнее и красивее 🌸 Ставим лайк и говорим спасибо за вашу заботу и красоту вокруг! #ТвоиЛюдиНижнекамск

33🥰5🔥2👍1🤡1

14 Aug 2026, 18:17 UTC≈2,200 views21 reactionsread 14 August 2026
Forwarded from @moynizhnekamskPhoto

Делимся хорошей новостью: на сегодня из Нижнекамской ЦРМБ уже выписаны 11 пациентов, пострадавших в результате атаки БПЛА 10 августа. Состояние всех выписанных оценивается как удовлетворительное. Дальнейшее наблюдение они будут проходить амбулаторно. В стационаре продолжают лечение ещё 12 человек — им оказывается вся необходимая медицинская помощь. Искренне благодарим наших медицинских работников: вы рядом 24/7, де

👍106🙏5

14 Aug 2026, 13:01 UTC≈2,880 views18 reactionsread 14 August 2026
Photo

Не каждый школьный проект заканчивается такой встречей☺️ Риана из нижнекамского лицея №35 исследовала рекламу ВТБ и её влияние на интерес подростков к книгам. Работу заметила управляющий ВТБ в Татарстане - вице-президент банка Марьям Давлетшина. «Для нас это самый ценный отклик — когда молодёжь сама выбирает бренд для изучения», — сказала она на встрече с Рианой.

16👍2

Showing the 12 most recent of 171 posts we hold for @nkvknew. 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 — 886,159 of 1,480,688entries 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.

Mentions

Named by 1 registered channel — 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.

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.

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.

Новости Казани и Республики Татарстан
@kazan_smi · 189,054
Telegram ranks this channel #60 of 73 here — alongside 72 others — read 12 August 2026

This channel appears in 1 seed channel's Telegram-generated recommendation list 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 15 August 2026 — this entry's latest reading, not the date you are reading this.

“Нижнекамск. Новости” (@nkvknew), 50,255 subscribers as measured 15 August 2026. Telegram Register, tgregister.com/channel/nkvknew.

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.