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Telegram profile photo for Петербург Новости

Channel

Петербург Новости

@peterburgo

On this record: Topic · Observations · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

40,478subscribers

+11,430 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-1001858625241
TypeChannel
Username@peterburgo
DescriptionПетербург Новости — главные события города сегодня: происшествия, погода, афиша, культура и жизнь. Все свежие новости в одном Telegram-канале. Реклама: @ros_media Для связи: @kate_promt РКН:
CreatedBetween 1 October 2022 and 30 September 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live13 November 2026
Measurements held65
Confirmed unchanged1 time, most recently 13 November 2026
On Telegramt.me/peterburgo

Topic

National news — 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 9 September 2026 and assigned it the closest of 31 fixed categories, at 97% 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 6 other registered channels. 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
@peterburgo/2896 · this entry15 Sept 2026, 15:19 UTC@chelyabinsxk/351915 Sept 2026, 15:28 UTC0.939 minutes
@peterburgo/2829 · this entry25 Aug 2026, 12:16 UTC@chelyabinsxk/342225 Aug 2026, 12:25 UTC0.919 minutes
@peterburgo/3024 · this entry25 Oct 2026, 15:19 UTC@chelyabinsxk/370625 Oct 2026, 15:35 UTC0.8916 minutes
@peterburgo/2792 · this entry13 Aug 2026, 12:16 UTC@chelyabinsxk/336713 Aug 2026, 12:25 UTC0.889 minutes
@peterburgo/2918 · this entry22 Sept 2026, 15:19 UTC@chelyabinsxk/355222 Sept 2026, 15:28 UTC0.869 minutes
@peterburgo/2801 · this entry16 Aug 2026, 12:16 UTC@chelyabinsxk/338116 Aug 2026, 12:25 UTC0.769 minutes
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
@chelyabinsxk7 (7/7 hand-verifiable sample passed)0.859 minutesthis entry (7–0)
@rossia_novosty85 (5/5 hand-verifiable sample passed)0.88under a minutethis entry (5–0)
@saratov15 (5/5 hand-verifiable sample passed)0.878 minutesthis entry (5–0)
@petrozavodsx75 (5/5 hand-verifiable sample passed)0.854 minutesthis entry (5–0)
@rostov_na_donu45 (5/5 hand-verifiable sample passed)0.86under a minute@rostov_na_donu4 (4–1)
@ros_news36516 (8/8 hand-verifiable sample passed)0.98under a minutethis entry (15–1)

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. 4 of the 4 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 302 comparable posts for this entry, running 30 July 2026 to 14 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).

Recorded under the keys clone_copy · clone_source, last confirmed 15 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.

Growth

28,85641,12934,992.540,4787 August 202613 November 2026
65 measurements spanning 98 days, net +11,430. 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 27,015–42,970 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 65
Measured (UTC)SubscribersChange
13 Nov 2026, 12:5840,478-118
10 Nov 2026, 21:5740,596-70
9 Nov 2026, 09:4140,666-78
8 Nov 2026, 01:4040,744-65
7 Nov 2026, 00:0640,809-34
5 Nov 2026, 23:3740,843-69
5 Nov 2026, 02:0740,912-86
4 Nov 2026, 03:5640,998-51
3 Nov 2026, 02:4641,049-80
2 Nov 2026, 05:3841,129+3,461
1 Nov 2026, 07:1637,668-133
31 Oct 2026, 09:2837,801-68
30 Oct 2026, 11:4737,869-228
29 Oct 2026, 10:2938,097-125
28 Oct 2026, 08:0538,222-87
27 Oct 2026, 08:1638,309-104
26 Oct 2026, 08:3038,413-70
25 Oct 2026, 05:0038,483-29
24 Oct 2026, 03:3638,512+7,144
23 Oct 2026, 06:3831,368first reading

Engagement

316 posts held, back to 30 July 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 179 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
14.5%
avg views ÷ 40,478 subscribers
Avg views / post
5,880
91 posts measured
Reaction rate
0.218%
reactions ÷ views · ER floor
Posts in window
91
of 316 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 15 November 2026
Posts held316 (30 July 2026 – 15 November 2026)
Views total535,142
Reactions total1,164
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken15 Nov 2026, 17:57 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
≈2,060
Videos
≈870
Links
≈1,900

Lifetime counters from Telegram’s own channel header, read 15 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
1h 30m
Average length
42s

Measured directly from 130 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

3,937 reactions across 316 posts, in 10 distinct kinds. The most used accounts for 11.5% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🤣45411.5%
👍44911.4%
🤬43211.0%
🤔40810.4%
🤯3919.93%
👎3839.73%
😁3819.68%
🤡3528.94%
❤3448.74%
🔥3438.71%

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 316 of the 316 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 3,937 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 316 most recent posts we hold, published 30 July 2026 to 15 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: 0 of 91 posts held from the last 30 days (0%) 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).

15 Nov 2026, 17:30 UTC232 views1 reactionsread 15 November 2026
Video

👀 «Лёха, тебя даже дома не боятся, хули ты форму надел?» Двое мужчин устроили скандал после остановки машины с тонировкой. Инспекторы ДПС оказались их знакомыми, но делать поблажку не стали. В ответ приятели начали хамить полицейским и накалять обстановку. Знакомство быстро превратилось в открытый конфликт, в который вмешались сотрудники ФСБ. Обоих жёстко задержали. Суд назначил каждому по полтора года колонии-пос…

🤯1

15 Nov 2026, 13:17 UTC≈2,810 views6 reactionsread 15 November 2026
Video

🤯 "Я тебе сейчас в рот это засуну! Ты кто такая? Где сервис, бл*ть?" В ПВЗ женщина учинила скандал и избила сотрудников, чтобы отомстить за своего непутевого и наглого мужа: всё это на глазах своей 6-летней шокированной дочери. Всё началось с того, что её супруг пришёл в пункт, чтобы отправить через "Авито" упакованный не по правилам товар. После замечаний скандальный клиент без оплаты схватил упаковочную бумагу со…

🤔3🤣3

15 Nov 2026, 07:10 UTC≈6,310 views13 reactionsread 15 November 2026
Photo

👀 В Карелии вожатому дали 13 лет колонии за вытирание попы ребёнку в походе Педагога Владимира осудили за насильственные действия сексуального характера в отношении девятилетней девочки. Прокурор требовал 18 лет строгого режима. В защиту мужчины выступила глава движения "Сдай педофила" Анна Левченко. Она утверждает, что вожатый помог ребёнку с гигиеной: Все, что он сделал, — вытер девочке в походе попу влажными са…

🤔9👍4

14 Nov 2026, 17:30 UTC≈6,400 views14 reactionsread 15 November 2026
Video

😢 Школьница СОЖГЛА КВАРТИРУ, пытаясь приготовить китайские чипсы 14-летняя девочка осталась дома одна и решила приготовить себе перекус. Во время готовки на сковороде загорелось масло, которое школьница попыталась потушить водой В результате пламя мгновенно распространилось по кухне. Сама девочка успела выбежать из квартиры и позвонить маме 👀 Петербург Новости #Петербург #СПБ

😁5❤4🤣3🤯2

14 Nov 2026, 13:17 UTC≈6,380 views12 reactionsread 15 November 2026
Video

🤯 "Мужчина" напал на девушку в спортзале, потому что она отказалась с ним здороваться На днях качок подошёл к незнакомой посетительнице и поздоровался. Не дождавшись ответа, повторил попытку, но девушка поинтересовалась: «А вы мне вообще кто?» Вместо того чтобы спокойно принять отсутствие взаимного приветствия, мужчина взбесился и набросился на неё После публикации видео выяснилось, что это не первый подобный случ…

🔥5🤔4❤3

14 Nov 2026, 07:11 UTC≈6,320 views12 reactionsread 15 November 2026
Video

👀 Зеленский ищет деньги, ему скоро банально будет нечем платить войскам Улетел, но обещал вернутся... 👀 Петербург Новости #Петербург #СПБ

🤯8👍4

13 Nov 2026, 17:32 UTC≈6,160 views14 reactionsread 15 November 2026
Video

😳 Две школьницы изрезали подругу ножом из-за ревности к парню — они нанесли сопернице свыше 20 ножевых Предварительно, пьяные подростки подкараулили знакомую на мосту, порезали ей горло и ногу. Всё происходящее они снимали на видео: одна держала нож у горла жертвы, вторая говорила её «перерезать». Также девушки угрожали пострадавшей и требовали прыгнуть с моста. После нападения школьницу доставили в больницу в тяж…

🤔7🤬7

13 Nov 2026, 14:19 UTC≈5,900 views13 reactionsread 15 November 2026
Video

👀 Девушка сняла обзор на палату в местной инфекционной больнице Пациентка устроила рум-тур по палате, где лечатся люди с заразными заболеваниями. В программе: окошко для передачи еды в двери, стены с эффектом постапокалипсиса и ремонт, который, судя по всему, не пережил прошлый век. Всё включено, кроме нормальных условий 👀 Петербург Новости #Петербург #СПБ

🤔6🔥4👎3

13 Nov 2026, 10:14 UTC≈5,920 views14 reactionsread 15 November 2026
Photo

😳 Мужика приговорили к 9 годам колонии за перевод ₽700 психически больному знакомому После начала СВО тот попытался уехать в Украину, однако застрял где-то в Брянской области. Денис Ващук одолжил ему ₽700 на билет до Москвы, и именно эти деньги суд признал финансированием терроризма. При этом самого путешественника суд освободил от ответственности по причине его психического состояния 👀 Петербург Новости #Петербу…

🤣7❤6🤯1

13 Nov 2026, 04:08 UTC≈5,640 views12 reactionsread 15 November 2026
Video

🤣 Владелец новой Volga доказал, что на отечественной машине ездили даже древние русы Жаль, что мы забыли старославянский. 👀 Петербург Новости #Петербург #СПБ

❤8🤯4

12 Nov 2026, 15:19 UTC≈5,850 views13 reactionsread 15 November 2026
Video

🤣 Мальдивы превратились в Геленджик из-за наплыва российских туристов Девушка показала пляжи, которые буквально заполонили соотечественники. 👀 Петербург Новости #Петербург #СПБ

❤5🤡5🤯3

12 Nov 2026, 10:14 UTC≈5,590 views13 reactionsread 15 November 2026
Video

😳 Эвакуатор попытался забрать «Гранту», но бородачи устроили разборки и вырвали машину руками Дикари умудрились снять её с погрузочной платформы, после чего спокойно поехали дальше по делам. 👀 Петербург Новости #Петербург #СПБ

👍5🤯4🤔2🤡1🤬1

Showing the 12 most recent of 316 posts we hold for @peterburgo. 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

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.

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 13 November 2026 — this entry's latest reading, not the date you are reading this.

“Петербург Новости” (@peterburgo), 40,478 subscribers as measured 13 November 2026. Telegram Register, tgregister.com/channel/peterburgo.

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.