Other / unclassifiable — 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 85% 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
51 measurements spanning 90 days, net +85. 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 10,328–10,627 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 51
Measured (UTC)
Subscribers
Change
5 Nov 2026, 19:30
10,467
-5
4 Nov 2026, 21:05
10,472
-11
3 Nov 2026, 17:56
10,483
-7
2 Nov 2026, 16:04
10,490
-12
30 Oct 2026, 15:39
10,502
-5
29 Oct 2026, 12:08
10,507
-4
28 Oct 2026, 10:59
10,511
+4
27 Oct 2026, 11:56
10,507
+1
25 Oct 2026, 14:01
10,506
-3
23 Oct 2026, 16:16
10,509
-3
22 Oct 2026, 17:09
10,512
+4
21 Oct 2026, 10:35
10,508
-5
20 Oct 2026, 06:44
10,513
-3
19 Oct 2026, 05:37
10,516
-7
18 Oct 2026, 03:58
10,523
-6
17 Oct 2026, 00:27
10,529
-12
16 Oct 2026, 01:08
10,541
-7
15 Oct 2026, 02:28
10,548
-4
13 Oct 2026, 23:57
10,552
+81
11 Oct 2026, 02:57
10,471
first reading
Engagement
23 posts held, back to 11 June 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 44 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
55.8%
avg views ÷ 10,467 subscribers
Avg views / post
5,840
9 posts measured
Reaction rate
—
this channel exposes no reaction counts
Posts in window
9
of 23 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 4 November 2026
Posts held
23 (11 June 2026 – 4 November 2026)
Views total
52,580
Reactions total
—
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
5 Nov 2026, 20:41 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
≈1,760
Videos
≈167
Links
≈129
Lifetime counters from Telegram’s own channel header, read 5 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
4s
Average length
4s
Measured directly from 1 video 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.
Recent posts
Telegram’s own ‘edited’ marker: 2 of 9 posts held from the last 30 days (22.2%) 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).
Sharlotka Season Sale 04.11-10.11
Крайне приятная весть! Sharlotka Season Sale возвращается. Название, как нетрудно догадаться, отсылает к общелюбимому межсезонному пирогу. Да, к нему самому. Сейл продлится до 10.11 включительно, а скидки 10–30% распространяются на весь ассортимент, кроме обуви и части аксессуаров
Между строк напомним, что в этот период мы можем несколько дольше отвечать на сообщения и обрабатывать…
Итого! Кашемировые панталоны и иже с ними участвовали сегодня в традиционном вечернем променаде. Тепло. Приятно. Дочерь уважает бутики родителей — там есть тары и пимидоры, которые ежедневно нуждаются в раскрашивании. Раскрашиваем
Радостное известие шопогольного характера. Коллеги решили в этот раз без предварительных объятий (они же спойлеры) — не рассказали заранее на своих каналах о предстоящем долгожданном и очень уж (мною в первую очередь) обожаемом зимнем дропе. Старожилы помнили и очень просили повтора коллекции Chulok, но разумеется в другой ткани. Несколько лет назад эта коллекция была одним из наших провалов, огромной финансовой и чт…
Кринж, скажете вы — и будете правы. Но мне все равно. Это полезная визуализация важного этапа в психотерапии, который я желаю пережить каждому. Вывод. Супругу слишком идёт быть рыцарем. Умоляю
Польты — это безусловно хорошо. Но мы не будем забывать, что лучшее решение для таких гнусных в моем понимании погод — это легенда в виде тощего, но теплого и непромокаемого пуховика Gribnik Coat. Легенда. Буду честна, мы пытались сделать повтор Грибника в другом цвете в этом сезоне, но прекратили извращения. Хотя повторы бестселлеров в разнообразных цветах — это кладезь. Но нет. Исключительно в черном. Легенда. Повт…
Магазин на диванах! Продаем обалденный участок в соснах на берегу реки. Ближайшее Подмосковье. Лес. Река. Коттеджный поселок. Все прелести дачной жизни. Далее. Продаем редкий автомобиль мощного характера в идеальном состоянии — Jeep Wrangler Rubicon 392. Подробности в личных сообщениях
То было 9 вечера! Вам это необходимо именно сейчас. Яблочное Диво. Два с половиной ингредиента. Две с половиной минуты рукаблудств. Вкуснее изящнее всех Шарлоток мира. Молю приобрести Антоновку — сейчас ее время. Ароматы. Фотография слабо симпатичная, но других не имеем
Надобно
Яблоки — 1 кг
Хлопья овсяные (мне нравятся грубые цельнозерновые) — 150 гр
Мука — 180 гр
Масло сливочное — 150 гр
Сахар — 80 гр
Ванильный са…
Showing the 12 most recent of 23 posts we hold for @natapitkina. 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.
Posts recorded as deleted after publishing
We recorded 1 post on @natapitkina as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.
A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.
First seen missing
23 August 2026
Most recent seen missing
23 August 2026
Median time before seen missing
5 days
Seen missing in the last 30 days
0
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
Names
Channels on the register whose handles appear in this channel's posts.
A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.
Appears in Telegram’s recommendations for other channels
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
How to Sasha @howtosashanovikova · 62,232 Telegram ranks this channel #15 of 88 here — alongside 87 others — read 21 August 2026
Why Not? @why_not_sh · 16,215 Telegram ranks this channel #23 of 83 here — alongside 82 others — read 30 September 2026
Sasha Burimova @burimovasasha · 80,501 Telegram ranks this channel #31 of 75 here — alongside 74 others — read 18 August 2026
Veronika14 @veronika14 · 62,243 Telegram ranks this channel #33 of 83 here — alongside 82 others — read 21 August 2026
editors on vacation @editorsonvacation · 20,011 Telegram ranks this channel #50 of 90 here — alongside 89 others — read 28 September 2026
⚡️Velvet VPN › Доступно всё @velvet · 352,323 Telegram ranks this channel #53 of 75 here — alongside 74 others — read 5 October 2026
Vrednayamoda / Вредная Мода @vrednayamoda · 204,066 Telegram ranks this channel #54 of 69 here — alongside 68 others — read 11 August 2026
ОЙСАШ🚀 @etosashaaaa · 53,147 Telegram ranks this channel #75 of 87 here — alongside 86 others — read 23 August 2026
This channel appears in 8 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 5 November 2026 — this
entry's latest reading, not the date you are reading this.
“НУ ПИТКИНА” (@natapitkina), 10,467 subscribers as measured 5 November 2026. Telegram Register, tgregister.com/channel/natapitkina.
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.
