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Channel

Типичный Новосибирск

@tipanovosib

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

46,207subscribers

-903 since we began measuring on 6 August 2026

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

Register entry

Telegram ID-1002096405050
TypeChannel
Username@tipanovosib
DescriptionКуда сходить в Новосибирске. Интересные места, афиша и расписание мероприятий Связь: @tn54_bot Реклама: @Maxim_TN и https://telega.in/c/tipanovosib https://knd.gov.ru/license?id=673c6dcb6afad41667cdf550&registryType=bloggersPermission
CreatedBetween 1 November 2023 and 31 May 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live12 November 2026
Measurements held66
Confirmed unchanged1 time, most recently 12 November 2026
On Telegramt.me/tipanovosib

Topic

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 21 August 2026 and assigned it the closest of 31 fixed categories, at 99% 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.

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 in near-verbatim form on 12 other registered channels. This entry also sits inside a group of 4 channels linked by matching posts, directly or through other channels in the group; two members of the group may share no posts 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 (6 of the pairs behind the counts below)
Posted firstThenOverlapGap
@inc54/3960513 Aug 2026, 05:01 UTC@tipanovosib/22663 · this entry13 Aug 2026, 05:02 UTC1.00under a minute
@inc54/3990621 Aug 2026, 10:59 UTC@tipanovosib/23076 · this entry21 Aug 2026, 11:02 UTC1.004 minutes
@tipanovosib/23559 · this entry1 Sept 2026, 03:40 UTC@inc54/403041 Sept 2026, 07:11 UTC1.003.5 hours
@tipanovosib/24115 · this entry12 Sept 2026, 12:40 UTC@inc54/4073313 Sept 2026, 04:00 UTC1.0015 hours
@tipanovosib/24756 · this entry28 Sept 2026, 07:15 UTC@inc54/4126828 Sept 2026, 07:15 UTC1.00under a minute
@inc54/4127328 Sept 2026, 08:59 UTC@tipanovosib/24771 · this entry28 Sept 2026, 12:59 UTC1.004.0 hours
Channels this entry shares post bodies with, where at least one matching post pair has no forward credit between the two channels, or to a common source, recorded in our data
ChannelMatching postsText overlapTypical gapPublished first
@inc54154 (8/8 hand-verifiable sample passed)1.005.6 hoursthis entry (107–47)
@onlirk44 (8/8 hand-verifiable sample passed)1.0038 minutesthis entry (44–0)
@tvoi_krd35 (8/8 hand-verifiable sample passed)1.004.2 hoursthis entry (35–0)
@pb_barnaul28 (8/8 hand-verifiable sample passed)1.0020 hoursthis entry (28–0)
@novasibirsklive24 (8/8 hand-verifiable sample passed)1.0021 minutesthis entry (23–1)
@ecotopor20 (8/8 hand-verifiable sample passed)0.9811 hours@ecotopor (20–0)
@novosibirsx220 (8/8 hand-verifiable sample passed)1.0056 minutesthis entry (20–0)
@trashovynews17 (8/8 hand-verifiable sample passed)0.9910 hoursthis entry (17–0)
@ochevidec5416 (8/8 hand-verifiable sample passed)1.009.6 hoursthis entry (16–0)
@novosti_5413 (8/8 hand-verifiable sample passed)0.9930 hoursthis entry (11–2)
@toporlive11 (8/8 hand-verifiable sample passed)0.9513 hours@toporlive (11–0)
@ivanovo_chp10 (8/8 hand-verifiable sample passed)0.8922 hoursthis entry (10–0)

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. 153 of the 153 matches recorded here fall after that date and carried no header when we read them. The rest predate reliable capture and are not evidence either way.

“Published first” means first in this corpus. We hold 1,919 comparable posts for this entry, running 5 August 2026 to 12 November 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).

Of the group of 4 channels, the one whose matching posts we hold earliest is @novosibirsx2. That is a statement about our reading window, not a claim of authorship.

Recorded under the keys clone_copy · clone_mutual · clone_source, last confirmed 13 November 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.

Channels linked by matching posts

This channel is in a group of 4 registered channels linked by matching posts, directly or through other channels in the group. This channel may share no posts with some of the channels listed below, and listed channels may share none with each other. 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

46,20747,11046,658.56 August 202612 November 2026
66 measurements spanning 99 days, net -903. 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 46,072–47,245 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 66
Measured (UTC)SubscribersChange
12 Nov 2026, 17:0646,207-29
10 Nov 2026, 09:4046,236-13
8 Nov 2026, 19:1046,249-11
7 Nov 2026, 10:5746,260-8
6 Nov 2026, 11:3846,268-20
5 Nov 2026, 09:4946,288-9
4 Nov 2026, 07:5146,297-21
3 Nov 2026, 08:3046,318-3
2 Nov 2026, 09:4946,321-8
1 Nov 2026, 09:0946,329-6
31 Oct 2026, 11:1546,335-24
30 Oct 2026, 11:5846,359-16
29 Oct 2026, 12:0746,375-40
28 Oct 2026, 13:5846,415-11
27 Oct 2026, 11:5146,426-14
26 Oct 2026, 11:1546,440-27
25 Oct 2026, 12:5646,467-15
24 Oct 2026, 14:3046,482-38
23 Oct 2026, 11:1446,520-23
22 Oct 2026, 12:0746,543first reading

Engagement

2,160 posts held, back to 5 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 197 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
3.12%
avg views ÷ 46,207 subscribers
Avg views / post
1,440
640 posts measured
Reaction rate
1.49%
reactions ÷ views · ER floor
Posts in window
640
of 2,160 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 632 of 640 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 13 November 2026
Posts held2,160 (5 August 2026 – 13 November 2026)
Views total921,904
Reactions total13,645
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken13 Nov 2026, 12:58 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
≈21,200
Videos
≈1,540
Links
≈5,540

Lifetime counters from Telegram’s own channel header, read 13 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.

Video runtime
17m 00s
Average length
30s

Measured directly from 34 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

21,963 reactions across 982 posts, in 40 distinct kinds. The most used accounts for 24.6% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🤡5,40424.6%
🤬3,04613.9%
❤2,30910.5%
😁1,6017.29%
👎1,4106.42%
👍1,3436.11%
👏7503.41%
🔥7303.32%
😢6032.75%
😱5952.71%
👀4462.03%
🤯4141.88%
🫡3681.68%
🤔3271.49%
🥰3261.48%
😭2741.25%
😨2591.18%
❤‍🔥2561.17%
☃2341.07%
🙈2180.993%
20 further kinds1,0504.78%

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 986 of the 1,000 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 21,963 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 1,000 most recent posts we hold (the sample is capped at 1,000), published 30 September 2026 to 13 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.

Telegram Stars

Stars received
2
across the posts below
Posts paid on
2
of 1,000 we hold a reading for · 0.2%
Most on one post
1
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @tipanovosib. 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 1,000 most recent posts we hold for this entry (the sample is capped at 1,000), published 30 September 2026 to 13 November 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
1.70%
17 of 1,000 posts carry an ad marker
Regulatory tokens
17
posts carrying an erid · 14 distinct tokens
Median views · ads
1,310
over 17 measured posts
Median views · rest
1,500
over 983 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
2VtzqxmTcHj313 October 202617 October 2026
2VtzqvyJ135223 October 202613 November 2026
2Vtzquba9TU110 November 202610 November 2026
2VtzquincDj18 October 20268 October 2026
2VtzqvH1aEq120 October 202620 October 2026
2VtzqvQV8qT18 October 20268 October 2026
2VtzqvQw6n1124 October 202624 October 2026
2VtzqwJiamL112 November 202612 November 2026
2VtzqwLNHeD116 October 202616 October 2026
2VtzqwaZtNg19 October 20269 October 2026
2VtzqwcPPVP121 October 202621 October 2026
2VtzqwiURph13 November 20263 November 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. 2 further tokens are held for this entry and not listed here.

Measured over the 1,000 most recent posts we hold (the sample is capped at 1,000), published 30 September 2026 to 13 November 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

Telegram’s own ‘edited’ marker: 8 of 640 posts held from the last 30 days (1.25%) 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).

13 Nov 2026, 12:50 UTC151 viewsread 13 November 2026
Photo

Банда свиней терроризирует посёлок в Ставропольском крае В Красногвардейском районе Ставропольского края стая из 25 свиней, во главе с огромной свиноматкой, терроризирует местных жителей. Свиней изначально было 13, но они быстро размножились и теперь обносят запасы кормов и отпугивают хозяев. Свиноводческая банда нападает на людей и животных; жители боятся выходить из домов, а в лесополосе находят мёртвых животных.…

13 Nov 2026, 12:20 UTC408 views10 reactionsread 13 November 2026
Photo

Утильсбор в России снова повысят — с 1 января 2027 года ставки вырастут на 10-20% Точная ставка зависит от типа техники. Это подтвердили в Минпромторге. В ведомстве отметили, что повышение сбора способствовало росту доли автомобилей российского производства до 63,5% за восемь месяцев 2026 года. Также изменятся правила расчёта утильсбора. В результате ввоз автомобилей через страны ЕАЭС, в том числе Киргизию, который…

🤬9🤡1

13 Nov 2026, 11:50 UTC554 viewsread 13 November 2026
Photo

Новые требования к остановкам в Новосибирске будут вводить постепенно В Новосибирске не планируют массово менять остановочные павильоны после вступления в силу нового ГОСТа. Требования будут внедрять при строительстве, реконструкции и плановом обновлении объектов. Об этом пишет Сибкрай. Стандарт действует с 10 ноября и делит остановки на три категории в зависимости от пассажиропотока: базовые (до 100 человек в сутк…

13 Nov 2026, 11:35 UTC620 views1 reactionsread 13 November 2026
Video

В Дзержинском районе образовался опасный провал асфальта у школы В Дзержинском районе Новосибирска на улице 5-й Трикотажный, 23 провалился асфальт рядом со школой № 177. Читатель НГС сообщил, что яма увеличивается в размерах и создаёт опасность для учеников и посетителей спортивного зала. По данным ООО «НТСК», провал вызван проблемами с подземными инженерными коммуникациями тепловых сетей. Место огородили, и в ближ…

❤1

13 Nov 2026, 11:16 UTC743 views8 reactionsread 13 November 2026
Photo

Коттедж для Барби продают в Новосибирске за 90 млн рублей В Заельцовском районе Новосибирска выставлен на продажу коттедж в стиле Барби с розовыми спальнями и ванной, стоимостью 90 млн рублей. Дом находится в поселке Лесное, в сосновом бору на берегу Оби. В коттедже имеются большая гостиная, столовая, две спальни с гардеробными, бассейн, спа-зона, а также помещения для персонала с отдельным выходом. Продавец отмеча…

🤡4💘3😁1

13 Nov 2026, 10:50 UTC850 views2 reactionsread 13 November 2026
Photo

В центре Новосибирска установили разбитый автомобиль в память о жертвах ДТП 13 ноября на Красном проспекте в Новосибирске появился разбитый автомобиль, поднятый на конструкцию и украшенный рисунками на тему дорожной безопасности. Эта инсталляция была посвящена Всемирному дню памяти жертв ДТП, сообщает Сиб.фм Заместитель министра транспорта Антон Мирошниченко озвучил статистику аварий: за десять месяцев 2026 года пр…

❤1🙈1

13 Nov 2026, 10:20 UTC874 views22 reactionsread 13 November 2026
Photo

В Карелии суд приговорил педагога и вожатого из Петербурга к 13 годам колонии за то, что он в походе вытер ребёнку попу В Карелии суд приговорил педагога и вожатого из Санкт-Петербурга к 13 годам колонии по обвинению в насильственных действиях сексуального характера. Инцидент произошёл в походе, где мужчина вытер ребёнку попу влажными салфетками. Глава движения "Сдай педофила" Анна Левченко считает обвинение необос…

🤯18🤡3❤1

13 Nov 2026, 09:55 UTC957 views20 reactionsread 13 November 2026
Photo

Та самая «Пельменная» на Богдашке Одно из очень аутентичных мест Новосибирска - знаменитая «Пельменная» на Богдана Хмельницкого, 22/1. Находится недалеко от ЛДС "Сибирь", но если не знаешь, найти её непросто. Цокольный этаж жилого дома, неприметная вывеска «ООО Нивата. Пельменная». Внутри интерьер из девяностых. Типичная для того времени стойка заказа, столики со стульями, тюлевые шторы, фотографии с видами Новосиб…

❤15👍5

13 Nov 2026, 09:35 UTC≈1,020 views8 reactionsread 13 November 2026
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Рубрика "не у нас": студенты тюменского техникума возмущены камерами в туалетах Студенты Тюменского техникума строительной индустрии заметили камеры в туалетах и усомнились в законности их установки, считая это вторжением в личное пространство. Руководство объяснило установку камер частыми нарушениями дисциплины, такими как курение и порча имущества. Департамент образования Тюменской области утверждает, что камеры …

🤬8

13 Nov 2026, 09:05 UTC≈1,110 views15 reactionsread 13 November 2026
Photo

Почти 29 млн рублей потратили власти Новосибирской области, чтобы летать на вертолётах в 2026-м, - Mash Siberia С февраля администрация разместила 14 закупок, по 12 из них уже заключили контракты без малого на 28 млн рублей. За эти деньги чиновники получили 63 лётных часа. Кто ими воспользовался — не уточняется. В октябре власти подписали ещё два контракта на обслуживания в аэропортах: на 252 тысячи для официальных…

🤬13❤1🫡1

13 Nov 2026, 08:55 UTC≈1,130 views17 reactionsread 13 November 2026
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135 млн рублей наличкой конфисковали у пассажира Шереметьево. Он попытался вывезти их из страны 28-летний россиянин набил чемодан пятитысячными купюрами и собирался улететь с ними в Бишкек. Объяснять происхождение денег он отказался. Теперь наличные перейдут в собственность государства, мужчине оставили 1 млн рублей.

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13 Nov 2026, 08:35 UTC≈1,180 views22 reactionsread 13 November 2026
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Россиян призвали спать прямо на работе по 20–30 минут Дневной сон очень полезен: он повышает концентрацию, улучшает память, снижает стресс и даёт заряд энергии на вторую половину дня, отмечают неврологи. Главное — не спать дольше 40 минут, иначе можно проснуться ещё более разбитым.

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Showing the 12 most recent of 2,160 posts we hold for @tipanovosib. 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

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.

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.

Инцидент Новосибирск
@inc54 · 166,574
#1
АСТ-54 Black
@teleact54 · 268,098
#2
Новосибирск с огоньком
@novosibtop · 61,182
#3
Эй, Новосибирск!
@live_novosibirsk · 43,457
#4
НГС — новости Новосибирска
@ngs_news · 114,542
#5
WHERETOGO Новосибирск
@wheretogonsk · 65,897
#6
Новосибирский паблик
@nskpub · 24,136
#7
Новосибирский зоопарк
@nsk_zoo · 42,454
#8
Mash Siberia
@mash_siberia · 52,274
#9
Кудрявцев Максим
@kudryavtsevmaksim · 9,472
#10
Baranovmovie
@baranovmovie · 23,161
#11
КП - Новосибирск
@nskkp · 10,567
#12
Новосибирск на максималках
@novosib_maksimalka · 3,336
#13
Мэрия Новосибирска
@nsk54_official · 7,688
#14
Om1: Новости Новосибирска и России
@Om1_nsk · 29,356
#15
MDK Новосибирск
@MDK_Novosibirsk · 12,503
#16
Новости Новосибирска и Области
@topsmi54 · 42,299
#17
АФИША НОВОСИБИРСК
@afishanovosibirsk · 39,857
#18
Новосибирск №1
@newsibirsk01 · 10,384
#19
НОВОСТИ НОВОСИБИРСК
@mapnovosibirsk · 19,953
#20
Работа 54
@rabota54rus · 5,795
#21
АКАДЕМГОРОДОК НОВОСИБИРСК
@akademgorodok_nsk · 11,661
#22
Любить Новосибирск
@friendnsk · 5,728
#23
СГК Новосибирск
@sgk_nsk · 8,263
#24
СОБЫТИЕ Новосибирск
@sobytiensk · 21,787
#25
Новосибирские новости
@nsknewsinfo · 3,946
#26
ЧП ИНЦИДЕНТ НОВОСИБИРСК
@chp_novosibirsk · 12,574
#27
Кстати, Новосибирск
@novosibkstati · 2,975
#28
ОТС-Горсайт – Новости Новосибирска
@otsgorsite · 37,483
#29
Бердск Онлайн
@berdsk_online · 20,822
#30
newsnovosib
@newsnovosib · 29
#31
rough_nsk
@rough_nsk · 7
#32
Экстренный НСК
@extrennyi_nsk · 6,722
#33
Мы❤️нсо
@nsonews54 · 18,319
#34
Атас.Инфо | Новости Новосибирска
@atasinfo · 9,389
#35
Нет нет нет
@novosibirskone · 36
#36
Нскач🚨
@nska4 · 4,453
#37
Новосибирск | NSK_TODAY
@today_nsk · 26,395
#38
Авиасейлс Новосибирск
@aviasales_novosibirsk · 13,244
#39
pervomayka54
@pervomayka54 · 1
#40
Сибирский Экспресс
@Sib_EXpress · 24,283
#41
Прецедент Новосибирск
@Precedent_tv · 3,023
#42
Инцидент Новосибирск
@incidentnsk · 4,295
#43
Новости Новосибирска и не только
@novosti_54 · 23,473
#44
Гуляй, Новосибирск
@gonovosib24 · 8,876
#45
NOVO Новосибирск
@nsk_novo · 14,276
#46
VN.RU Новости Новосибирска
@vnrunsk · 27,001
#47
Ненаучный Городок
@akadem_media · 8,689
#48
Новосибирск |Регион-54|
@region_nsk54 · 39,427
#49
Подслушано | Новосибирск и Область
@moynovosib · 28,361
#50
Новосибирь
@novasiberia · 9,719
#51
НГТУ НЭТИ
@nstu_neti · 10,821
#52
ЧП Новосибирск | Новости
@chp_sib · 12,980
#53
СИБКРАЙ
@sibkrayru · 2,038
#54
НОВОСИБИРСК LIFE
@nsk_life · 2,933
#55
ХК «Сибирь»
@hockeyclubsibir · 90,218
#56
ХК «Сибирские Снайперы» ❄️ 🏒
@hcsiberiansnipers · 21,670
#57
@Rodniki_54
@rodniki_154 · 7,632
#58
ТикеБум.Новосибирск
@tboom_54 · 34,464
#59
ФК «Сибирь»
@fcsib · 7,251
#60
yelpil
@yelpil · 5,955
#61
Чехарда Новосибирск
@cheharda_novosibirsk · 4,837
#62
Кино на траве | Новосибирск
@movie_grass · 3,317
#63
mvd_54
@mvd_54 · 5,499
#64
ХК «Сибирь» сообщество фанатов
@sibirhockeyclub · 28,557
#65
Коалиция Новосибирск 2020
@nsk2020ru · 2,408
#66
Харчей очарованье
@stasbsokolov · 6,779
#67
ВК «Локомотив-Новосибирск»
@lokovolleynsk · 32,387
#68
ТГ канал Алексея Мазура
@avmazur · 1,455
#69
Skyline Cinema
@skylinecinema · 2,437
#70
Прокуратура Новосибирской области
@prokuratura_nso · 20,116
#71
Плющихинский / МЖК Восточный Новосибирск
@promjk · 3,287
#72
Анатолий Локоть
@alokot · 1,907
#73
АвтоБердск-плюс
@autoberdsk_54 · 4,138
#74
СЕВЕРО-ЧЕМСКОЙ 📰
@Chemskoy · 4,264
#75
КРАСНООБСК - ВАСХНИЛ
@vkrasnoobsk · 7,450
#76
ИСТОРИЯ НОВОСИБИРСКА
@historynovosibirsk · 6,401
#77

Read from Telegram’s recommendation API, most recently 27 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.

Инцидент Новосибирск
@inc54 · 166,574
Telegram ranks this channel #4 of 72 here — alongside 71 others — read 12 August 2026
Новосибирск | СФО | Новости
@NovosibirskNew · 28,378
Telegram ranks this channel #5 of 67 here — alongside 66 others — read 26 September 2026
Новосибирский зоопарк
@nsk_zoo · 42,454
Telegram ranks this channel #8 of 91 here — alongside 90 others — read 30 August 2026
Эй, Новосибирск!
@live_novosibirsk · 43,457
Telegram ranks this channel #11 of 67 here — alongside 66 others — read 28 August 2026
АСТ-54 Black
@teleact54 · 268,098
Telegram ranks this channel #11 of 71 here — alongside 70 others — read 10 August 2026
Новосибирск с огоньком
@novosibtop · 61,182
Telegram ranks this channel #18 of 76 here — alongside 75 others — read 22 August 2026
Новости Новосибирска и Области
@topsmi54 · 42,299
Telegram ranks this channel #20 of 57 here — alongside 56 others — read 29 August 2026
Новосибирск |Регион-54|
@region_nsk54 · 39,427
Telegram ranks this channel #29 of 60 here — alongside 59 others — read 30 August 2026
НОВОСИБИРСК СЕГОДНЯ
@novosibirsxy · 78,978
Telegram ranks this channel #35 of 62 here — alongside 61 others — read 21 August 2026
Om1: Новости Новосибирска и России
@Om1_nsk · 29,356
Telegram ranks this channel #36 of 85 here — alongside 84 others — read 6 September 2026
НГС — новости Новосибирска
@ngs_news · 114,542
Telegram ranks this channel #36 of 91 here — alongside 90 others — read 14 August 2026
Подслушано | Новосибирск и Область
@moynovosib · 28,361
Telegram ranks this channel #40 of 77 here — alongside 76 others — read 9 September 2026
ТикеБум.Новосибирск
@tboom_54 · 34,464
Telegram ranks this channel #46 of 75 here — alongside 74 others — read 3 September 2026
НОВОСТИ и ТОЧКА! | НОВОСИБИРСК
@Novosti_i_to4ka_Novosibirsk · 277,913
Telegram ranks this channel #46 of 71 here — alongside 70 others — read 21 August 2026
Новости Новосибирска и не только
@novosti_54 · 23,473
Telegram ranks this channel #49 of 73 here — alongside 72 others — read 17 September 2026

This channel appears in 15 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 12 November 2026 — this entry's latest reading, not the date you are reading this.

“Типичный Новосибирск” (@tipanovosib), 46,207 subscribers as measured 12 November 2026. Telegram Register, tgregister.com/channel/tipanovosib.

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.