Обзоры ресторанов города. Мероприятия и новые места Петербурга и области. Куда сходить с ребёнком и без. Природные места. Отели и дома отдыха.
Купить рекламу https://telega.in/c/zamzaga
По всем вопросам @zinazagaynova
Created
Between 1 August 2021 and 28 February 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
Local community — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 11 September 2026 and assigned it the closest of 31 fixed categories, at 80% 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.
Growth
52 measurements spanning 91 days, net -113. 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 10,313–10,627 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 52
Measured (UTC)
Subscribers
Change
6 Nov 2026, 17:25
10,415
-4
5 Nov 2026, 17:59
10,419
-3
4 Nov 2026, 19:47
10,422
+9
3 Nov 2026, 19:47
10,413
+17
2 Nov 2026, 17:36
10,396
+47
1 Nov 2026, 17:39
10,349
-4
30 Oct 2026, 17:36
10,353
-23
29 Oct 2026, 14:35
10,376
-3
27 Oct 2026, 18:39
10,379
-4
26 Oct 2026, 15:05
10,383
-1
25 Oct 2026, 13:27
10,384
-3
24 Oct 2026, 10:00
10,387
-7
23 Oct 2026, 06:29
10,394
+1
22 Oct 2026, 07:16
10,393
-10
21 Oct 2026, 04:18
10,403
-2
20 Oct 2026, 04:28
10,405
-1
19 Oct 2026, 04:36
10,406
-5
18 Oct 2026, 04:30
10,411
-2
17 Oct 2026, 04:57
10,413
-2
16 Oct 2026, 05:27
10,415
first reading
Engagement
33 posts held, back to 4 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 48 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
5.55%
avg views ÷ 10,415 subscribers
Avg views / post
578
7 posts measured
Reaction rate
0.915%
reactions ÷ views · ER floor
Posts in window
7
of 33 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
Window
Rolling 30 days · latest post in window 7 November 2026
Posts held
33 (4 August 2026 – 7 November 2026)
Views total
4,044
Reactions total
37
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
7 Nov 2026, 21:18 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
≈8,720
Videos
≈894
Links
≈1,550
Lifetime counters from Telegram’s own channel header, read 7 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
4m 59s
Average length
27s
Measured directly from 11 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
145 reactions across 32 posts, in 6 distinct kinds. The most used accounts for 78.6% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
114
78.6%
🔥
14
9.66%
👍
10
6.90%
⚡
3
2.07%
🌭
3
2.07%
🙏
1
0.69%
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 32 of the 33 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 145 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 33 most recent posts we hold, published 4 August 2026 to 7 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.
Advertising
Ad load
3.03%
1 of 33 posts carry an ad marker
Regulatory tokens
1
posts carrying an erid · 1 distinct token
Median views · ads
477
over 1 measured post
Median views · rest
501
over 32 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. The sample on one side is under five posts, which is too thin to compare. The two figures are shown side by side with the count behind each, and deliberately not divided into a headline like “ads get x% fewer views” — an arithmetic that is easy to print and, at this sample size, means nothing.
Advertising tokens recorded on this entry
erid
Posts
First seen
Last seen
25H8d7vbP8SRTvFaSMM9uC
1
4 August 2026
4 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 33 most recent posts we hold, published 4 August 2026 to 7 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: 0 of 7 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).
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Билеты тут от 150₽
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📍КСК «Арена»
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🎟️590₽
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❤4
Showing the 12 most recent of 33 posts we hold for @zamzaga. 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
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.
Культурный Петербург @spbdoing · 24,893 Telegram ranks this channel #3 of 73 here — alongside 72 others — read 15 September 2026
Night2Day Санкт-Петербург @night2day_spb · 37,667 Telegram ranks this channel #9 of 91 here — alongside 90 others — read 4 September 2026
Куда пойти в Питере с детьми @gokidspeterburg · 33,933 Telegram ranks this channel #11 of 83 here — alongside 82 others — read 3 September 2026
Вокруг Питера @vokrug_pitera · 34,115 Telegram ranks this channel #11 of 85 here — alongside 84 others — read 3 September 2026
Интересные места Питера ❤️ @spbneformal · 38,053 Telegram ranks this channel #14 of 85 here — alongside 84 others — read 31 August 2026
Free4kids: детская афиша Питера @free4kids_spb · 18,812 Telegram ranks this channel #15 of 89 here — alongside 88 others — read 4 October 2026
Питер Бесплатно @freepeterburg · 70,124 Telegram ranks this channel #18 of 84 here — alongside 83 others — read 20 August 2026
Бесплатный Питер @afisha_sankt_peterburg · 55,262 Telegram ranks this channel #20 of 89 here — alongside 88 others — read 21 August 2026
Питер в голове • Про Санкт-Петербург • СПБ @piter_v_golove · 83,503 Telegram ranks this channel #20 of 82 here — alongside 81 others — read 19 August 2026
Доступный Петербург @spbdo500 · 42,484 Telegram ranks this channel #23 of 80 here — alongside 79 others — read 29 August 2026
Афиша бесплатных событий Петербурга @afishapeterburga · 90,770 Telegram ranks this channel #24 of 82 here — alongside 81 others — read 17 August 2026
Легендарный Петербург @legendary_piter · 66,592 Telegram ranks this channel #27 of 85 here — alongside 84 others — read 21 August 2026
Пойдем сегодня Петербург @infopeterburg · 43,227 Telegram ranks this channel #29 of 83 here — alongside 82 others — read 28 August 2026
В обнимку с Питером @obnyatSPb · 27,993 Telegram ranks this channel #30 of 85 here — alongside 84 others — read 9 September 2026
GradSPb | Санкт-Петербург @gradspb · 45,736 Telegram ranks this channel #30 of 87 here — alongside 86 others — read 27 August 2026
Бесплатный Питер @spbfree24 · 24,585 Telegram ranks this channel #31 of 81 here — alongside 80 others — read 15 September 2026
Питер 1703 @spiter_live · 41,776 Telegram ranks this channel #31 of 82 here — alongside 81 others — read 29 August 2026
Куда пойти в Питере @gopeterburg · 110,801 Telegram ranks this channel #32 of 82 here — alongside 81 others — read 14 August 2026
Питер и дети • Куда сходить? @spb_detstvo · 19,115 Telegram ranks this channel #33 of 75 here — alongside 74 others — read 3 October 2026
Куда сходить в Петербурге @afishapitera · 64,603 Telegram ranks this channel #33 of 85 here — alongside 84 others — read 21 August 2026
Go to eat | Петербург Афиша @gotoeatspb · 20,686 Telegram ranks this channel #35 of 84 here — alongside 83 others — read 26 September 2026
SPBPROGULKA @spbprogulka · 22,917 Telegram ranks this channel #38 of 85 here — alongside 84 others — read 19 September 2026
Usmle qbanks 2026 @usmle_qbanks · 26,075 Telegram ranks this channel #38 of 41 here — alongside 40 others — read 12 September 2026
Вместе по Питеру @uniteclub · 36,860 Telegram ranks this channel #38 of 88 here — alongside 87 others — read 2 September 2026
This channel appears in 29 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. 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 6 November 2026 — this
entry's latest reading, not the date you are reading this.
“Места Питера СПб Петербург” (@zamzaga), 10,415 subscribers as measured 6 November 2026. Telegram Register, tgregister.com/channel/zamzaga.
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.