Telegram RegisterThe public register of Telegram

Channel

читающий переводчик

@the_may_storm

On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry

1,098subscribers

-1 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1001403547267
TypeChannel
Username@the_may_storm
CreatedBetween 1 March 2019 and 30 September 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live13 August 2026
Measurements held3
Confirmed unchanged1 time, most recently 13 August 2026
On Telegramt.me/the_may_storm

Growth

1,0981,0991,098.57 August 2026 — 1,099 subscribers7 August 2026 — 1,099 subscribers13 August 2026 — 1,098 subscribers7 August 202613 August 2026
3 measurements spanning 6 days, net -1. 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 1,098–1,099 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
13 Aug 2026, 08:141,098-1
7 Aug 2026, 13:301,099no change
7 Aug 2026, 10:161,099first reading

Engagement

18 posts held, back to 29 June 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof Telegram’s post history, 20 posts per page.

ERR · 30 days
10.1%
avg views ÷ 1,098 subscribers
Avg views / post
110
9 posts measured
Reaction rate
13.2%
reactions ÷ views · ER floor
Posts in window
9
of 18 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 7 August 2026
Posts held18 (29 June 20267 August 2026)
Views total994
Reactions total131
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 10:16 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.

Reaction mix

304 reactions across 17 posts, in 17 distinct kinds. The most used accounts for 28.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥8828.9%
custom 52017046596343683963812.5%
👍3110.2%
custom 5472238640950158449278.88%
❤‍🔥278.88%
🤣247.89%
😢227.24%
🤝123.95%
custom 5404640906592664426103.29%
🕊72.30%
🦄61.97%
😈30.987%
🤔30.987%
🍾20.658%
🤬20.658%
👏10.329%
💋10.329%

Custom emoji. 3 of the rows above are Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The counts beside them areTelegram’s.

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 17 of the 18 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 304reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 18 most recent posts we hold, published 29 June 2026 to 7 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.

Recent posts

7 Aug 2026, 05:16 UTC41 views9 reactionsread 7 August 2026
Photo

🎞🎞🎞😍😱🎞🎞🎞🎞🎞 🤍🤍🤍🥹😭🤩▪️▪️▪️▪️▪️🤩 Правильное утро начинается с кофе — точнее, с кофейной цитаты: 🤩Ich hab nie alle Tassen 🤩im Schrank. 🌟🌟 🤩In einer ist immer Kaffee. Выражение "nicht alle Tassen im Schrank haben" (не все чашки в шкафу) означает примерно то же самое, что и наше "крыша поехала" или "не все дома". То есть дословно фраза переводится как "У меня всегда не все чашки в шкафу — в одной постоянно кофе". Если б

🦄6🤝2🔥1

4 Aug 2026, 15:43 UTC72 views9 reactionsread 7 August 2026

🤍🤍🤩🤩🤩🤩🤩🤩🤩 🤍🤍 🤩🤩🤩🤩🤩🤩🤩 🤍🤍🤩🤩🏠🤩🤩🤩🤩🤩 Вчера днем в ЭКСМО мы с Машей обсуждали дела триллерно-детективные, а вечером Дарья, мой редактор в МИФе, показала утвержденную обложку и название новой книги Карстена Хенна. И каааак же эта иллюстрация передает атмосферу истории! О своих эмоциях в процессе перевода я чуть раньше рассказывала в этом посте. И могу лишь еще раз посоветовать эту книгу всем, кто любит глубокие, пронзите

custom 54722386409501584495🔥2custom 54046409065926644262

4 Aug 2026, 15:42 UTC69 views9 reactionsread 7 August 2026
Forwarded from @dasha_i_knigiPhoto

Работала в июле всего полмесяца, а три сданных книги наскреблось! Книжный остров мистера Фикри Очень глубокая и трогательная история о владельце книжного, которому жизнь дает второй шанс в виде маленькой девочки. Каждая глава начинается с письма ей, в котором Фикри анализирует очередной рассказ (из реально существующих). Книжное и терапевтичное Записки из дома на песке История о силе (и слабостях) памяти и о том, к

❤‍🔥7🔥1custom 52017046596343683961

3 Aug 2026, 15:32 UTC89 views13 reactionsread 7 August 2026
Forwarded from @mashukredactorPhoto

Моя спасительница принесла лимонадик в этот жаркий день🥵❤️ И документики подписать, и похихикать, и за книжечки поболтать, обожаю🤌🏻💋

🤝7🔥4🍾2

3 Aug 2026, 08:42 UTC115 views9 reactionsread 7 August 2026
Photo

🇩🇪 Подборка немецких Telegram-каналов В одном месте собраны каналы о немецком языке, экзаменах, культуре, учёбе, работе и жизни в Германии. 🔗 Ссылка на папку: https://t.me/addlist/78aX-so-_5g3Mzgy Найдите своих авторов и изучайте немецкий с удовольствием! 📱 Ведёте канал? Присоединяйтесь к следующим подборкам.

👍5custom 52017046596343683963❤‍🔥1

3 Aug 2026, 08:41 UTC109 views12 reactionsread 7 August 2026

🔠🔠🔠🔠💗💗💗💗💗🔠 🔠🔠🔠🔠🔠🔠🔠🔠🔠🔠 🔠🔠🔠🔠🔠🔠🔠🔠🔠🔠 Мой канал вошел в подборку блогов, посвященных немецкому языку! Если вы любите #DEUTSCH так же, как и я, выбирайте себе канал по душе или подписывайтесь сразу на все — для удобства они собраны в единую папку 👇🏻

❤‍🔥6🔥3custom 54722386409501584492👍1

31 Jul 2026, 17:18 UTC142 views14 reactionsread 7 August 2026

Posted without readable text

🔥7custom 52017046596343683964🤔3

30 Jul 2026, 16:43 UTC153 views21 reactionsread 7 August 2026
Photo

🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊 🤩🤩🤩🤩🤩🤩🤩🤩🤩🤩 По периодическому затишью на канале очень легко вычислить мой график дедлайнов 😅 На сегодняшний день свежие новости такие: 😍Перевод первого спортивного романа — сдан 😍Рецензия на детектив, который оказался не тем, чем казался (в хорошем смысле) — сдана 😳 Рецензия на мафиозный дарк-романс — в процессе 〰️〰️〰️〰️〰️〰️〰️〰️〰️〰️〰️ А на фото — совпадение года (или знак, пока непонятно). Рукопись про П

🔥14custom 54722386409501584494❤‍🔥2💋1

17 Jul 2026, 08:02 UTC204 views35 reactionsread 7 August 2026
Photo

Коротко о наболевшем... 💙Я в ВК | 💬Я в MAX #book #книги #перевод #редактор

😢22custom 52017046596343683966👍4🤬2👏1

12 Jul 2026, 16:13 UTC270 views34 reactionsread 7 August 2026

Произошел мем... Выбираем с подругой мне новую повседневную сумку. Одна прям очень понравилась, но остался последний этап оценки... Проверяю длину — 21 см. Вздыхаю. Вешаю сумку на место — не подходит. Подруга: Почему нет-то? Я: Стандартная длина книги примерно 20,5 см. (Да, я специально заранее измерила!) Учитывая подкладку, шовчики там всякие, книжка сюда не влезет, значит, на каждый день сумка стратегически беспо

🤣24👍5🤝3🔥2

9 Jul 2026, 05:17 UTC245 views29 reactionsread 7 August 2026
Photo

🍃🍃🤩🤩🤩🤩🤩🦋 🍃🍃🤩🤩🤩🤩🤩🤩🤩🤩🤩🤩 В эпоху, когда словом года становится «тревожность», борьба со стрессом и выгоранием стала частью нашей жизни. Я тоже хочу вам в этом помочь, но так как я лингвист, а не психолог, помогу, как говорится, как умею! Я составила для вас подборку немецких антистресс-слов. *Здесь должен быть мем "Я сделяль"* 🧳 Tapetenwechsel (дословно: «смена обоев») Говорят, что совместная поклейка обоев — это тест

🔥14❤‍🔥7👍5custom 52017046596343683962custom 54046409065926644261

8 Jul 2026, 16:00 UTC166 views16 reactionsread 7 August 2026
Photo

🤍🤍💝💝💝💝🔢💝💝💝💝🟰 🤩🤩🤍 🐾🐾🐾🐾🐾🐾🐾 🤩🤩💝💝💝💝🤍💝💝💝💝💝 В конце месяца ждем по-летнему жаркую и пожарно-горячую историю от Даны! 🤩💗💗💗💗💗🩷 🤩💗💗💗💗💗💗💗💗💗💗 Сесиль мечтает лишь об одном — пережить последние дни в Париже и сбежать на Майорку, где ее ждут море и свобода. Но все меняется, когда в поездке появляется Ноа, загадочный математик, друг ее брата. Между ними вспыхивает странное, болезненно знакомое притяжение. Под шум волн и разговоры

custom 52017046596343683968🔥6custom 54722386409501584492

Showing the 12 most recent of 18 posts we hold for @the_may_storm. 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

Citation-graph rank — 1,256,704 of 1,340,412entries 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.

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 13 August 2026 — this entry's latest reading, not the date you are reading this.

“читающий переводчик” (@the_may_storm), 1,098 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/the_may_storm.

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.