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Channel

Кнопочка

@microcopy

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

6,387subscribers

-205 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001364874296
TypeChannel
Username@microcopy
Created10 January 2019 — measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live10 November 2026
Measurements held28
Confirmed unchanged1 time, most recently 10 November 2026
On Telegramt.me/microcopy

Topic

Education — 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 12 September 2026 and assigned it the closest of 31 fixed categories, at 40% 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

6,3876,5926,489.56 August 2026 — 6,592 subscribers6 August 2026 — 6,592 subscribers6 August 2026 — 6,590 subscribers9 August 2026 — 6,582 subscribers12 August 2026 — 6,575 subscribers15 August 2026 — 6,570 subscribers18 August 2026 — 6,565 subscribers20 August 2026 — 6,554 subscribers24 August 2026 — 6,547 subscribers27 August 2026 — 6,542 subscribers30 August 2026 — 6,532 subscribers1 September 2026 — 6,529 subscribers5 September 2026 — 6,526 subscribers10 September 2026 — 6,518 subscribers14 September 2026 — 6,511 subscribers19 September 2026 — 6,505 subscribers29 September 2026 — 6,494 subscribers6 October 2026 — 6,477 subscribers13 October 2026 — 6,463 subscribers16 October 2026 — 6,440 subscribers19 October 2026 — 6,436 subscribers22 October 2026 — 6,428 subscribers25 October 2026 — 6,426 subscribers29 October 2026 — 6,419 subscribers31 October 2026 — 6,414 subscribers3 November 2026 — 6,409 subscribers6 November 2026 — 6,396 subscribers10 November 2026 — 6,387 subscribers6 August 202610 November 2026
28 measurements spanning 96 days, net -205. 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 6,356–6,623 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 28
Measured (UTC)SubscribersChange
10 Nov 2026, 07:576,387-9
6 Nov 2026, 23:586,396-13
3 Nov 2026, 17:496,409-5
31 Oct 2026, 22:086,414-5
29 Oct 2026, 01:276,419-7
25 Oct 2026, 17:076,426-2
22 Oct 2026, 18:466,428-8
19 Oct 2026, 11:286,436-4
16 Oct 2026, 08:346,440-23
13 Oct 2026, 00:106,463-14
6 Oct 2026, 12:406,477-17
29 Sept 2026, 07:216,494-11
19 Sept 2026, 03:586,505-6
14 Sept 2026, 12:376,511-7
10 Sept 2026, 17:366,518-8
5 Sept 2026, 09:576,526-3
1 Sept 2026, 21:166,529-3
30 Aug 2026, 07:366,532-10
27 Aug 2026, 09:056,542-5
24 Aug 2026, 14:456,547first reading

Engagement

20 posts held, back to 24 June 2025 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 16 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
31.5%
avg views ÷ 6,387 subscribers
Avg views / post
2,010
2 posts measured
Reaction rate
6.24%
reactions ÷ views · ER floor
Posts in window
2
of 20 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 6 November 2026
Posts held20 (24 June 2025 – 6 November 2026)
Views total4,020
Reactions total251
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Nov 2026, 11:14 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

Video runtime
33s
Average length
33s

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.

Reaction mix

1,616 reactions across 20 posts, in 4 distinct kinds. The most used accounts for 55.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤90255.8%
🔥42726.4%
👍25115.5%
😱362.23%

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 20 of the 20 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 1,616 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 20 most recent posts we hold, published 24 June 2025 to 6 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 2 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).

6 Nov 2026, 09:41 UTC≈1,100 views24 reactionsread 7 November 2026

У Markswebb вышло исследование о равитии чат-ботов в эпоху ИИ. Вставила свои 5 копеек на извечную тему, чему учить бота: 🧑‍🎤 шутить и каламбурить 👨‍💼строить из себя экспертного взрослого

❤14🔥7👍3

14 Oct 2026, 08:26 UTC≈2,920 views227 reactionsread 7 November 2026

Даже не знаю, с чего начать🌚 Возвращаться после долгой паузы неловко. Я много работала, сдавала на права, собирала грибы. И всё еще читала исследования) Хочу снова ими делиться. Не отписывайтесь от меня все сразу (по возможности) ⏰ «Через 30 минут» или «в 18:30»: когда ожидание кажется дольше Я как-то уже писала, что «1 месяц» и «31 день» воспринимаются по-разному. Вышло новое исследование ещё про одну пару формулир…

❤128🔥61👍38

26 Feb 2026, 10:16 UTC≈5,870 views87 reactionsread 7 November 2026

🛍 Лимитку — себе, бестселлер — другу Исследователи проверили, как маркетинговые сигналы дефицита или популярности работают в зависимости от того, кому предназначен товар. 🍷 Эксперимент с вином 238 участникам предложили выбрать бутылку вина себе или в подарок другу. Маркировка на бутылках была такая: — ограниченный выпуск (дефицит) — лидер продаж (популярность) Кроме маркировки, исследователи манипулировали ценой (…

🔥52👍19❤15😱1

13 Jan 2026, 08:37 UTC≈6,680 views100 reactionsread 7 November 2026

🍩 Хватит на кофе с булочкой: как примеры влияют на размер чаевых Вдогонку предыдущему посту про пожертвования нашла совсем новенькое исследование о силе примеров. В данном случае — как они мотивируют пользователей давать чаевые чаще и больше. 🥡 Эксперимент сервиса по доставке еды в Китае В конце 2019 года одна из крупных платформ по доставке еды из Китая изменила форму с чаевыми для курьеров — кроме сумм добавила п…

❤71🔥16👍13

24 Dec 2025, 10:16 UTC≈6,480 views100 reactionsread 7 November 2026
Photo

Декабрь, конечно, меня не пощадил. Совершенно не успеваю читать исследования, так что к ним вернемся уже в следующем году. А пока просто покажу классную и очень добрую штуку. Фонд «Упсала-цирк» при выборе суммы пожертвования показывает, на что именно её хватит. И, кажется, нам всем нужен клоунский нос ❤️

❤61🔥32👍7

19 Nov 2025, 10:14 UTC≈6,650 views40 reactionsread 7 November 2026
Forwarded from @markswebbPhoto

Когда пользователь при обращении к чат-боту не знает, сколько ему ждать ответа, он теряет чувство контроля. Даже небольшая неопределенность повышает раздражение и снижает лояльность. При этом, большинство банковских ботов не умеют ориентировать клиента в ожидании, показало исследование Markswebb Chatbot Rank 2025. В карточках показали эту типичную ошибку и пример того, как ее можно избежать. А в комментарии — сове…

❤24🔥9👍7

19 Nov 2025, 10:14 UTC≈4,100 views13 reactionsread 7 November 2026

Вставила свои 5 копеек в исследование Markswebb про чат-боты 👀

❤7👍3🔥3

6 Nov 2025, 08:33 UTC≈5,520 views118 reactionsread 7 November 2026
Photo

Не только промокод: зачем давать пользователям выбор 👉👈 Недавно жаловалась в Яндекс Еде на качество товаров и удивилась, когда мне предложили самой выбрать компенсацию (на скрине). Можно было выбрать: вернуть деньги, выдать промокод или повторно доставить заказ. А потом я наткнулась на исследование о том, как возможность выбора в момент сбоя влияет на удовлетворенность пользователей. 🧪 Эксперимент 424 участника чит…

❤76🔥26👍16

24 Oct 2025, 07:29 UTC≈5,500 views95 reactionsread 7 November 2026

❤️‍🩹 Мы или вы: когда стоит использовать язык близости Я как-то уже писала, что не очень люблю, когда бренды объединяют себя с пользователями и пишут «мы». Оказалось, что эффект «близости» в некоторых случаях вполне рабочий. 🔸 Эксперимент 1 Исследователи проверили, как пользователи воспримут коммуникацию от лица банка Wells Fargo. 144 участника (клиенты и неклиенты банка) видели рекламу: — с языком близости — «мы»:…

❤55👍24🔥16

3 Oct 2025, 11:57 UTC≈4,190 views39 reactionsread 7 November 2026

Сходила на ещё один подкаст — на этот раз психологический 🙂 Кроме работы, рассказала про всякое личное: как переживаю провалы (очень плохо), про синдром самозванца и кризис среднего возраста. А ещё — как после 10 лет в Москве и 2 в эмиграции уехала жить в лес 🌱

❤26🔥8😱5

3 Oct 2025, 11:57 UTC≈5,210 views99 reactionsread 7 November 2026
Forwarded from @psyvitPhoto

Раньше Рита была контент директором Профи.ру, а потом решилась на непростой переход — из управленца в джуна-продакта. И понеслась... 💛В новом выпуске подкаста «Вы хотите об этом поговорить?» мы встретились с Маргаритой Хохловой, Product Manager Профи.ру. Поговорили о том, как это — начинать карьеру заново, ежедневно сталкиваться с синдромом самозванца и примиряться с тем, что твое эго переживает «смерть руководител…

❤68🔥23😱5👍3

30 Sept 2025, 10:11 UTC≈4,920 views67 reactionsread 7 November 2026
Video

Пользователям нравятся ошибки ❤️‍🩹 Недавно Мермеладыч запустили конкурс на поиск острых мармеладных мишек, которые по ошибке (допустим) попали в сладкие наборы. И я вспомнила про исследование о том, как пользователи относятся к продуктам, созданным по ошибке. Эксперимент 1 🍫 144 респондентам предложили на выбор деньги или плитку шоколада. Описание шоколада отличалось: ∙ в одном варианте кондитер по ошибке передержа…

❤38🔥20👍9

Showing the 12 most recent of 20 posts we hold for @microcopy. 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

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

“Кнопочка” (@microcopy), 6,387 subscribers as measured 10 November 2026. Telegram Register, tgregister.com/channel/microcopy.

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.