Я так часто удаляю коменты ботов про книги, что у меня уже ощущение, что живые люди книги не читают😭 Помогите развенчать эту дурацкую мысль, расскажите, что вы офигенного прочитали за последнее время?
❤8😁7

Channel
@rishavant
On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry
2,981subscribers
-4 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
| Telegram ID | -1001234437535 |
|---|---|
| Type | Channel |
| Username | @rishavant |
| Created | Between 1 March 2018 and 31 July 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 13 August 2026 |
| Measurements held | 4 |
| Confirmed unchanged | 1 time, most recently 13 August 2026 |
| On Telegram | t.me/rishavant |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 13 Aug 2026, 06:54 | 2,981 | -2 |
| 10 Aug 2026, 03:50 | 2,983 | -2 |
| 7 Aug 2026, 05:05 | 2,985 | no change |
| 6 Aug 2026, 19:32 | 2,985 | first reading |
20 posts held, back to 20 May 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 3 pagesof Telegram’s post history, 20 posts per page.
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.
| Window | Rolling 30 days · latest post in window 3 August 2026 |
|---|---|
| Posts held | 20 (20 May 2026 – 3 August 2026) |
| Views total | 5,661 |
| Reactions total | 148 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 8 Aug 2026, 00:14 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.
680 reactions across 20 posts, in 16 distinct kinds. The most used accounts for 46.9% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 😁 | 319 | 46.9% | |
| ❤ | 122 | 17.9% | |
| 💯 | 47 | 6.91% | |
| 🤯 | 38 | 5.59% | |
| 🔥 | 37 | 5.44% | |
| 🎉 | 30 | 4.41% | |
| 👍 | 24 | 3.53% | |
| ❤🔥 | 12 | 1.76% | |
| 🤩 | 12 | 1.76% | |
| 👀 | 9 | 1.32% | |
| 🥰 | 9 | 1.32% | |
| 🕊 | 7 | 1.03% | |
| 🤝 | 6 | 0.882% | |
| 🤔 | 5 | 0.735% | |
| 🤗 | 2 | 0.294% | |
| 🤣 | 1 | 0.147% |
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 680reactions 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 20 May 2026 to 3 August 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.
Я так часто удаляю коменты ботов про книги, что у меня уже ощущение, что живые люди книги не читают😭 Помогите развенчать эту дурацкую мысль, расскажите, что вы офигенного прочитали за последнее время?
❤8😁7
Личный бренд Сходила недавно на встречу подписчиков Оли Соколовой (ранее возглавляла Скандинавию (сеть медицинских клиник) и работала в McKinsey). Рядом со мной девушка-редактор задавала вопрос про то, помогает ли личный бренд искать работу. Оля рассказала, что её курсы по менеджменту так активно продаются по большей части из-за личного бренда. В целом, логично: если тебя в лицо знают как крупного руководителя, и т…
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Нейронка для перевода голосовых в текст Ребята, я нашла классный инструмент для перевода голосовых в текст. Типа набора текста голосом у телефона, но этот умеет автоматически расставлять пунктуацию и распознаёт слова правильнее. Называется Handy. Работает на винде (если что, для маков я пользовалась виспером). Продукт бесплатный, опенсорс, ставится локально и не зависит от интернета. Для русского есть модель от Сбе…
👍18❤11🔥5
Тексты выходят на улицы города! Грядут выходные, давайте созидательно пошалим? Я в Бусти опубликовала задачку, делюсь тут тоже: предлагаю оставлять по городу добрые послания. Мне очень нравится идея, что кто-то увидит послание, вдохновится и оставит своё. И покатится снежным комом что-то добродушное — и, возможно, очень кому-то нужное именно сейчас. Мне уже прислали фото аж из Сургута. Давайте оставим послания в …
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Когда мне на работе говорят, что будет важный созвон, я вспоминаю другую свою работу (ну и музыкальную группу, конечно) и прихожу в смешном костюме. Иногда даже включаю камеру
❤14😁10👍1🔥1
Товарищи технические писатели, помогайте. Планирую записывать открытый курс с основами UX для техписателей. Если вы — они, напишите в комментариях или в личку, о чем бы вы хотели узнать?
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Возрадуемся, товарищи, этот день настал!
🎉30🕊7😁4
О, пасхалочки для своих! Простите, если у кого заест:)
😁32❤5🔥3
Графоманский задачник для саморазвития Он же коучинговый Вы уже наверняка заметили, как я люблю всякие задачки. И придумывать, и выполнять, и находить чужие (и их тоже выполнять). Я буквально каждый день что-то такое делаю, хотя бы небольшое. Ещё я люблю летом не расплавляться маслицем на жаре (а у меня сейчас +28 дома, сибирская классика), а всё равно делать что-нибудь полезное. Вы уже слышали мою песню про малин…
❤10👀9
Пожалуйста, ну проверяйте переносы😭
😁87🤩12🔥2
Друзья, всем привет! ⚡️ ResearchExpo «Источник энергии» 2026 ищет спикеров. Это шанс выступить перед профессиональным сообществом и получить обратную связь от опытных исследователей. Ждем кейсы, где исследования повлияли на бизнес-решение, стратегию или продуктовый подход. В программе 5 треков 🔹 SUN — главная сцена для масштабных стратегических кейсов 🔹 WAVE — как исследования превращаются в продуктовые решения 🔹 WI…
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Вы же знаете, что я очень топлю за исследования в целом и текстов в частности? Сама всё время что-нибудь исследую и радуюсь, если в эту тему погружаются не только исследователи, но и смежные специалисты. И готова развешивать уши и слушать о чужих исследованиях вечно Короче, ко мне пришли ребята, которые организуют большую конференцию по исследованиям ResearchExpo. И я сильно хочу увидеть среди спикеров кого-то из ва…
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Showing the 12 most recent of 20 posts we hold for @rishavant. 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.
Citation-graph rank — 373,144 of 1,345,403entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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.
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.
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 August 2026 — this entry's latest reading, not the date you are reading this.
“Таня прочитала” (@rishavant), 2,981 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/rishavant.
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.