Чили, встречаемся в это воскресенье! 🌟 В Сокало, Реколета состоится национальный отбор по брэйкингу и рэпу. Ждём тебя! #KARDO9 #BORNTOMOVE #РоссияСтранаВозможностей
custom 539125893954958740211custom 53841127109694982646custom 53913495719494671956

Channel
@worldkardo
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
3,871subscribers
-1 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
| Telegram ID | -1001205068355 |
|---|---|
| Type | Channel |
| Username | @worldkardo |
| Created | 16 September 2020 — measured — cross-checked against a third-party dataset (ext.tg_channel) |
| First recorded | 6 August 2026 |
| Last confirmed live | 12 August 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 2 times, most recently 12 August 2026 |
| On Telegram | t.me/worldkardo |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 9 Aug 2026, 10:32 | 3,871 | -1 |
| 6 Aug 2026, 07:31 | 3,872 | no change |
| 6 Aug 2026, 07:23 | 3,872 | first reading |
12 posts held, back to 29 July 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 4 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 7 August 2026 |
|---|---|
| Posts held | 12 (29 July 2026 – 7 August 2026) |
| Views total | 9,004 |
| Reactions total | 404 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 8 Aug 2026, 06:00 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.
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.
322 reactions across 10 posts, in 7 distinct kinds. The most used accounts for 26.7% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| custom 5391349571949467195 | 86 | 26.7% | |
| custom 5391258939549587402 | 77 | 23.9% | |
| custom 5391368534230082030 | 50 | 15.5% | |
| custom 5384112710969498264 | 46 | 14.3% | |
| custom 5391054610775449816 | 34 | 10.6% | |
| custom 5390853193989136056 | 16 | 4.97% | |
| custom 5390846163127672968 | 13 | 4.04% |
Custom emoji. Every row above is a 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 12 of the 12 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 404reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 12 most recent posts we hold, published 29 July 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.
Чили, встречаемся в это воскресенье! 🌟 В Сокало, Реколета состоится национальный отбор по брэйкингу и рэпу. Ждём тебя! #KARDO9 #BORNTOMOVE #РоссияСтранаВозможностей
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До Гранд-финала остаётся чуть больше месяца! Знакомимся с главными героями наших направлений, с которыми ты встретишься во Владивостоке. Начинаем со скейтбординга! Организатор Руководит направлением Влад Пирогов, он же — один из судей! Wild Card Спортсмены, получившие особое право на участие в Гранд-финале: 🇨🇳 Лео Ли — участник Tampa AM 2024, победитель CASL (the US West Coast) Advanced division 2024, вице-чемпи…
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У тебя всё ещё есть возможность стать участником Гранд-финала! 📢 Мы открываем регистрацию на открытую квалификацию, которая пройдёт 18 сентября во Владивостоке🏆 Это отдельный этап проекта для всех, кто не участвовал или не смог пройти региональные, национальные или онлайн-отборы, а также для тех, кто хочет попробовать свои силы сразу на площадке Гранд-финала. #KARDO9 #BORNTOMOVE #РоссияСтранаВозможностей
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Эмоции Гранд-финала 🔥 Считаем дни до главного события сезона! Так прошёл Гранд-финал в прошлом году — много музыки, танцев, зрелищных шоу и ярких соревнований. Участвуй в региональных и национальных отборах или регистрируйся как зритель на kardoaward.com — и до встречи во Владивостоке! #KARDO9 #BORNTOMOVE #РоссияСтранаВозможностей
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🥳🥳🥳 На выходных провели отборы в двух северо-западных регионах! Подводим итоги: Республика Карелия, Петрозаводск (совместно с фестивалем 809) 💪 Трикинг — Марк Томашевский 💪 Скейтбординг — Александр Короток 💪 Кикскутеринг — Артём Пенкрат 💪 BMX — Артём Корнеев 💪 Диджеинг — Данил Буторов 💪 Граффити — Пётр Павленко Сосновый Бор (при поддержке Комитета по молодёжной политике Ленинградской области) 💪 BMX — Артём Корне…
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Выходные с КАРДО! Нас ждёт двухдневный региональный этап в Казани и национальный этап в Чили! Скоро увидимся 😊 #KARDO9 #BORNTOMOVE #РоссияСтранаВозможностей
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Продлеваем регистрацию для стажёров! Продолжаем приём заявок от переводчиков до 15 августа. На стажировке ты прокачаешь письменный и устный перевод, навыки деловой коммуникации и кросс-культурного взаимодействия, а также получишь опыт работы в международной команде. Переходи по ссылке и подавай заявку! #ПроектПрофразвитие #РоссияСтранаВозможностей #KARDO9
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Выходные с КАРДО! Нас ждут два региональных этапа и двухдневный национальный этап. Смотри расписание 👇 #KARDO9 #BORNTOMOVE #РоссияСтранаВозможностей
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Твой шанс попасть на Гранд-финал! Регистрируйся на s9.kardoaward.com и участвуй в розыгрыше поездки во Владивосток! Участвуют заявки, зарегистрированные с 30 июля по 16 августа. Увидимся на КАРДО 🌎 #KARDO9 #BORNTOMOVE #РоссияСтранаВозможностей
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🥹🥹🥹🥹🥹🥹🥹🥹🥹🥹 Думаем, все поняли, что теперь у ✊✊✊ 9️⃣ есть свои эмоджи! Искра, фирменная палитра и узнаваемые фактуры — в новом формате. Эмоджи можно добавлять в сообщения и статусы, а ещё использовать в качестве реакций — часть из них мы уже добавили в канал, проверяй! Проголосуй за наш канал по ссылке, чтобы мы могли оформить его в уникальном стиле и чаще делиться новостями КАРДО ❤️ #KARDO9 #BORNTOMOVE #РоссияСт…
Showing the 12 most recent of 12 posts we hold for @worldkardo. 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 — 5,873 of 1,160,990entries 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.
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 18 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.
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 9 August 2026 — this entry's latest reading, not the date you are reading this.
“KARDOWORLD” (@worldkardo), 3,871 subscribers as measured 9 August 2026. Telegram Register, tgregister.com/channel/worldkardo.
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.