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Channel

ПишиСвищи

@pishisvishi

On this record: Topic · Growth · Engagement · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry

894subscribers

-3 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1001615641948
TypeChannel
Username@pishisvishi
CreatedBetween 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live17 September 2026
Measurements held6
Confirmed unchanged1 time, most recently 17 September 2026
On Telegramt.me/pishisvishi

Topic

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 19 September 2026 and assigned it the closest of 31 fixed categories, at 50% 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.

Growth

892897894.57 August 2026 — 897 subscribers8 August 2026 — 897 subscribers16 August 2026 — 895 subscribers23 August 2026 — 894 subscribers8 September 2026 — 892 subscribers17 September 2026 — 894 subscribers8947 August 202617 September 2026
6 measurements spanning 41 days, net -3. 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 891–898 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
17 Sept 2026, 14:38894+2
8 Sept 2026, 16:37892-2
23 Aug 2026, 05:45894-1
16 Aug 2026, 01:54895-2
8 Aug 2026, 01:04897no change
7 Aug 2026, 22:59897first reading

Engagement

17 posts held, back to 26 September 2025the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 page of Telegram’s post history, 20 posts per page.

Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 17 posts for this entry, the most recent from 8 May 2026. An engagement rate over an empty window would be a number about nothing.

Reaction mix

551 reactions across 16 posts, in 11 distinct kinds. The most used accounts for 44.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
😁24744.8%
🤣13724.9%
🔥7313.2%
325.81%
🤯234.17%
👍112.00%
🥰101.81%
🙈71.27%
💯50.907%
😱30.544%
🤗30.544%

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 16 of the 17 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 551 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 17 most recent posts we hold, published 26 September 2025 to 8 May 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

8 May 2026, 08:47 UTC384 views41 reactionsread 8 August 2026
Photo

Умоляю, нажмите…

😁25🤯133

Signed Егор Яценко

13 Apr 2026, 08:18 UTC610 views30 reactionsread 8 August 2026
Photo

Как же мне нужна машина времени…

😁17🤯8🙈3🤣2

Signed Егор Яценко

2 Mar 2026, 08:15 UTC761 views40 reactionsread 8 August 2026
Photo

А кто говорил, что креатив — это сложно? Как два пальца обосса… 🤷‍♂️

🤣32🥰4🙈4

Signed Егор Яценко

13 Feb 2026, 11:26 UTC739 views37 reactionsread 8 August 2026
Photo

Нашлась идеальная пародия на тексты ИИ 😍😍

😁31💯4🔥2

Signed Егор Яценко

27 Dec 2025, 11:48 UTC821 views13 reactionsread 8 August 2026
Photo

Подруга прислала прекрасное — Словарь вологодских говоров! Оказывается, все эти фразочки, которые я так обожаю, есть в словаре! Скусно, скурвиться, скипка, сёрбать. Так-то оно не только вологодское. В Краснодаре у нас всё это говорят. Давайте-ка накидаем в комменты наших говоров тоже! 💪💪

👍85

Signed Егор Яценко

25 Dec 2025, 05:37 UTC691 views45 reactionsread 8 August 2026
Photo

Люблю ироничные посты на серьёзных щщах))) (в тг у Сообщества Академгородка 10 тыщ подписчиков)

😁45

Signed Таня Пичёва

11 Dec 2025, 13:06 UTC≈1,140 views41 reactionsread 8 August 2026
Photo

Экран ошибки на Пикабу — это отдельный вид удовольствия. Вот некоторые умеют сделать креативно, чтобы даже сервисное негативное сообщение радовало!

🤣40💯1

Signed Егор Яценко

10 Dec 2025, 19:34 UTC606 views30 reactionsread 8 August 2026
Photo

Благодаря нашей подписчице @olgasavinkina я тоже перечитываю и задаюсь вопросом «блядь, что?!» 😂

🤣22🔥5🤯2😁1

Signed Егор Яценко

19 Nov 2025, 10:01 UTC483 viewsread 8 August 2026

Татьяна для нашего hr-канала рассказала, как правильно юзать ИИ для текстов. Ну звезда же, ну! 😍

Signed Егор Яценко

19 Nov 2025, 10:01 UTC648 views14 reactionsread 8 August 2026
Forwarded from @hrtekaPhoto

🤖 Как работать с нейросетями, чтобы тексты оставались живыми, а не пластиковыми Поболтали с экспертом по текстам Sourcing School - Таней Пичёвой В интернетах зафорсилась картинка о том, почему ИИшные тексты считываются на раз-два. Сюда же можно добавить идеальное оформление, которое не было свойственно автору: эмодзи в заголовках, «правильные» для кириллицы кавычки, длинное тире в нужных местах. Коридорные исследов

11🤗3

Signed Егор Яценко

18 Nov 2025, 12:26 UTC460 views9 reactionsread 8 August 2026

Читатели хвалятся пипкой

🤣5🔥4

Signed Таня Пичёва

18 Nov 2025, 12:26 UTC532 views22 reactionsread 8 August 2026
Photo

о, у меня есть картинка в ответ))

🤣175

Signed Таня Пичёва

Showing the 12 most recent of 17 posts we hold for @pishisvishi. 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 2 registered channels — 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.

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.

2ГИС
@twogis · 78,502
Telegram ranks this channel #56 of 89 here — alongside 88 others — read 21 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 17 September 2026 — this entry's latest reading, not the date you are reading this.

“ПишиСвищи” (@pishisvishi), 894 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/pishisvishi.

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.