Telegram RegisterThe public register of Telegram

Channel

Вавилонская рыбка

@locaroundtheworld

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

5,683subscribers

-8 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-1001765974764
TypeChannel
Username@locaroundtheworld
Created13 September 2022measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live12 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 12 August 2026
On Telegramt.me/locaroundtheworld

Growth

5,6835,6925,687.56 August 2026 — 5,691 subscribers6 August 2026 — 5,692 subscribers9 August 2026 — 5,687 subscribers12 August 2026 — 5,683 subscribers6 August 202612 August 2026
4 measurements spanning 6 days, net -8. 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 5,682–5,693 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
12 Aug 2026, 04:125,683-4
9 Aug 2026, 04:115,687-5
6 Aug 2026, 12:425,692+1
6 Aug 2026, 04:355,691first reading

Engagement

18 posts held, back to 11 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 8 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
30.4%
avg views ÷ 5,683 subscribers
Avg views / post
1,730
15 posts measured
Reaction rate
3.66%
reactions ÷ views · ER floor
Posts in window
15
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 11 August 2026
Posts held18 (11 July 202611 August 2026)
Views total25,914
Reactions total949
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Aug 2026, 03:58 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
1m 18s
Average length
26s

Measured directly from 3 videos 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

1,039 reactions across 17 posts, in 15 distinct kinds. The most used accounts for 25.1% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🤣26125.1%
24823.9%
❤‍🔥16015.4%
🔥12712.2%
😁11511.1%
👍383.66%
😱312.98%
🥰222.12%
🏆111.06%
👏80.77%
💯80.77%
💔50.481%
🐳20.192%
🤬20.192%
🤔10.096%

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 18 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 1,096reactions 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 11 July 2026 to 11 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

11 Aug 2026, 14:57 UTC535 views28 reactionsread 12 August 2026
Photo

Есть теплая ламповая советская конфета 大白兔 (White Rabbit), еще с 1940-х, производится в Шанхае. Этакий аналог гусиных лапок или раковых шеек в плане ностальгии и сведения олдскул, напоминает китайцам о детстве и былых временах. Воспетые в литературе и кино, эти конфеты были незаменимым спутником мероприятий, приемов, и даже дарились Никсону во время визита в Пекин в 1972 году. В ряде книг про тяжелые 1960-е упоминают

25🔥3

9 Aug 2026, 09:47 UTC799 views19 reactionsread 12 August 2026
Photo

Новый выпуск подкаста: "Крутите барабан!": Поиск работы. Вширь, вглубь и с чистого листа Что эффективнее: откликаться на все вакансии подряд или надеяться на силу нетворкинга? А что делать, если привычная ниша однажды перестанет кормить? В новом выпуске поговорили о том, как искать работу на фрилансе — вширь и вглубь, где на самом деле находятся хорошие заказы и почему иногда полезно иметь не только план Б, но и пл

11👍4🔥4

8 Aug 2026, 14:16 UTC≈1,560 views46 reactionsread 12 August 2026
Photo

Иногда #коллаб начинается с фандаба — а заканчивается собственной студией локализации. У меня в гостях Никита Коваль из NikiStudio — переводчик, редактор, звукорежиссёр и руководитель студии. Поговорили о том, как устроена игровая локализация изнутри, чем она отличается от перевода кино и как из фанатских проектов вырастает работа с большими играми. Получился разговор о субподряде и дедлайнах, культурной адаптации,

34❤‍🔥12

6 Aug 2026, 15:40 UTC≈1,460 views113 reactionsread 12 August 2026
Video

Верещала от этой реализации выбора языка в старенькой игре Asterix: Mega Madness (PS1, 2001). Такой восхитительной неполиткорректности уже не делают (смахнула слезу) via

❤‍🔥49🤣4011🔥7😁6

31 Jul 2026, 14:08 UTC≈1,570 views25 reactionsread 12 August 2026
Forwarded from @spinthewheel17Photo

🥁 Выпуск 5. Блогинг Обсудили, зачем вообще вести блог и почему для каждой из них он начинался как способ разобраться в себе — собирать заметки, конспектировать чужие мысли и лучше усваивать материал, — а со временем превратился в инструмент творческого самовыражения, площадку для продвижения и принёс приглашения выступать на мероприятиях. Поговорили о том, что блог — это не только аудитория, но и сообщество: живое

16👍5🏆2❤‍🔥1🔥1

30 Jul 2026, 16:08 UTC≈1,680 views87 reactionsread 12 August 2026
Video

Video, posted without a caption

🤣66😁174

29 Jul 2026, 07:25 UTC≈1,580 views76 reactionsread 12 August 2026
Photo

Учебник advanced English для китайцев по текстам выступлений на TED Talks. С возможностью отсканировать QR и послушать аудио целиком. Сноски со словами и их объяснениями. Ничего подобного ранее не видел.

❤‍🔥4519👏6🏆4🔥2

28 Jul 2026, 19:20 UTC≈1,510 views65 reactionsread 12 August 2026
Photo

Что меня удивило при посещении оперы "Мадам Баттерфляй" в Мариинском театре. 1) С труппой работает репетитор по итальянскому языку и он есть в кредитсах (программке). 2) В театре установлен экран с бегущей строкой, где выводятся субтитры на русском и английском. Что особенно интересно: в Мариинке этот экран над сценой. Что в целом не физиологично - субтитры не просто так располагают внизу экрана, так зритель воспри

🔥55😱73

25 Jul 2026, 11:37 UTC≈1,570 views26 reactionsread 12 August 2026
Forwarded from @spinthewheel17Photo

Выпуск 4. Продуктивность. Фокус, фонк и фонд кино В новом выпуске подкаста обсудили, почему продуктивность — величина нелинейная, и как с этим жить: планировать неделю с учётом своих взлётов и падений энергии, различать фокусированное и рассеянное мышление, закладывать буферы и не путать дедлайн с редлайном. Поговорили о том, почему одни и те же по объёму задачи могут занимать совершенно разное время в зависимости

18🔥6🥰2

25 Jul 2026, 11:37 UTC≈1,550 views28 reactionsread 12 August 2026

Очень приятно видеть, что подкаст потихоньку набирает аудиторию и даёт отдачу. По комментариям видим, что ребятам откликаются выбранные темы. Что может быть приятнее? Только прочитать ваши истории в тему!

❤‍🔥19👍62👏1

24 Jul 2026, 16:58 UTC≈3,400 views62 reactionsread 8 August 2026
Photo

Иногда #коллаб начинается с книги - особенно если это книга об игровой локализации. У Рыбки в гостях Владимир Сечкарев - программист, игровой журналист, переводчик книг о видеоиграх и автор «Искусства утраты». Поговорили о том, как из статей выросло большое исследование, почему «просто перевести игру» невозможно, что теряется между языками, как на результат влияют дедлайны, менеджмент и отсутствие контекста. Получи

🔥41❤‍🔥135👍2👏1

21 Jul 2026, 21:23 UTC≈2,230 views143 reactionsread 8 August 2026
Photo

Да елки-палки, накаркала, получается?

😁92😱22🤣21💔51💯1🤬1

Showing the 12 most recent of 18 posts we hold for @locaroundtheworld. 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 — 18,449 of 1,478,351entries 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 7 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.

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

“Вавилонская рыбка” (@locaroundtheworld), 5,683 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/locaroundtheworld.

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.