Telegram RegisterThe public register of Telegram

Channel

Руса&ñol

@rusaniol

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

197subscribers

+5 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1003030789114
TypeChannel
Username@rusaniol
DescriptionNative speakers of Russian and Spanish here! We'll instill confidence in beginners, ignite desire in those continuing, and provide motivation for professionals
CreatedBetween 1 August 2025 and 31 October 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live13 August 2026
Measurements held3
On Telegramt.me/rusaniol

Growth

192197194.56 Aug 2026, 06:08 — 192 subscribers6 Aug 2026, 23:57 — 197 subscribers7 Aug 2026, 05:02 — 197 subscribers6 Aug 2026, 06:087 Aug 2026, 05:02
3 measurements taken within a single day, net +5. 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 191–198 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
7 Aug 2026, 05:02197no change
6 Aug 2026, 23:57197+5
6 Aug 2026, 06:08192first reading

Engagement

17 posts held, back to 6 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 1 pageof Telegram’s post history, 20 posts per page.

ERR · 30 days
38.3%
avg views ÷ 197 subscribers
Avg views / post
75.5
13 posts measured
Reaction rate
20.0%
reactions ÷ views · ER floor
Posts in window
13
of 17 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 4 August 2026
Posts held17 (6 July 20264 August 2026)
Views total981
Reactions total196
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 05:02 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

Photos
212
Videos
10
Links
17

Lifetime counters from Telegram’s own channel header, read 7 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.

Reaction mix

259 reactions across 17 posts, in 17 distinct kinds. The most used accounts for 30.1% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
7830.1%
👏4517.4%
🥰3112.0%
🔥238.88%
🍌228.49%
👍135.02%
😁83.09%
🤣83.09%
❤‍🔥62.32%
💋62.32%
🤔51.93%
🎉31.16%
💯31.16%
😐31.16%
🕊20.772%
🤩20.772%
🤨10.386%

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 17 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 259reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 17 most recent posts we hold, published 6 July 2026 to 4 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

4 Aug 2026, 23:29 UTC68 views15 reactionsread 7 August 2026
Photo

🧠 SABER vs CONOCER В русском оба глагола — это «знать», но в испанском всё иначе! Держи главное правило, чтобы больше не путаться: 1️⃣ SABER = Факты, информация, навыки (Факты, данные и то, что ты умеешь делать) 🗣 Sé hablar español — Умею говорить по-испански 📍 Sé dónde vives — Знаю, где ты живёшь 📱 Sé tu número — Знаю твой номер 2️⃣ CONOCER = Люди, места, знакомство (Люди, города, места — то, с чем ты лично знако

7👏3🔥3🍌2

2 Aug 2026, 09:25 UTC78 views12 reactionsread 7 August 2026
Photo

📷 Bibliotecas con alma: cuando el cómico da nombre a la sala de lectura En Rusia, las bibliotecas son mucho más que un lugar para llevarse libros: son espacios acogedores, de luz tenue y silencio, donde parece que el tiempo se detiene. Hay una tradición muy especial: ponerles el nombre de escritores, poetas y figuras culturales. Así, cada visita se convierte en un pequeño homenaje. Esta biblioteca lleva el nombre d

🥰52👏2🍌1💋1🤔1

30 Jul 2026, 04:07 UTC85 views15 reactionsread 7 August 2026
Photo

LO SÉ vs. ME LO SÉ В русском языке, чтобы показать, что вы выучили что-то наизусть, мы обычно добавляем слово «наизусть». В испанском всё проще: достаточно добавить местоимение «me» (me lo sé). • Lo sé — Для конкретных фактов или информации. • Me lo sé — Для того, что вы выучили наизусть или отлично знаете (стихотворение, песня, урок). 💬 Ejemplos: • «—¿Sabes a qué hora llega el tren? —Sí, lo sé.» (—Знаешь, во сколь

5👍4👏3🍌2🥰1

29 Jul 2026, 20:06 UTC76 views14 reactionsread 7 August 2026
Photo

🐶 Expresiones con animales / Выражения с животными! 🐐 ¿Sabías que en español usamos muchos animales para describir a las personas? ¡Mira estas frases populares! (Знаете ли вы, что в испанском используют животных для описания людей? Вот популярные фразы!) Las más populares / Самые популярные: 🐑 Ser la oveja negra — Быть «черной овцой» (выделяться в семье o группе). 🐐 Estar como una cabra — Быть сумасшедшим / делать

🔥5😁3👍2🤔2🍌1👏1

27 Jul 2026, 06:17 UTC74 views15 reactionsread 7 August 2026
Photo

Спорим, вы и так поняли смысл без подсказок? 😌 Но если хотите свериться — вот перевод: «Я не чувствую себя красивой, я чувствую себя в стрессе». Уточним: это спэнглиш, смесь испанского и английского. По-испански правильнее сказать: No me siento hermosa, me siento estresadita. #Puentehaciaelespañol #español@rusaniol

🤣6🥰3🍌2💋21👏1

27 Jul 2026, 06:00 UTC61 views17 reactionsread 7 August 2026
Photo

Всем привет! Заметили, что кое-кто из новых подписчиков слегка теряется в нашей ленте: сегодня — разбор грамматики, завтра — мемы, послезавтра — новости культуры. «Ребята, вы кто вообще?» — справедливый вопрос. Отвечаем: мы те самые два админа, которые сами учатся друг у друга и искренне считают, что язык без контекста — просто набор букв. Чтобы не приходилось пролистывать всё подряд в поисках нужного, напоминаем п

7🥰4👏3🍌1💋1🤣1

24 Jul 2026, 00:55 UTC71 views15 reactionsread 7 August 2026
Photo

✋ Partes de la mano y los dedos / Части руки и пальцы! ¿Sabías qué significa el nombre de cada dedo en español? (Знаете ли вы, что означает название каждого пальца?) • La mano — Рука (кисть). • La palma (de la mano) — Ладонь. • Los dedos — Пальцы. Названия пальцев и их значение: • El pulgar — Большой палец. (Означает «сильный» или «толстый») • El índice — Указательный палец. (Означает «указывающий») • El medio

👏54🥰2😁2🍌1👍1

21 Jul 2026, 15:02 UTC71 views15 reactionsread 7 August 2026
Photo

Equivalentes rusos de "ni fu ni fa": habla como un nativo 🇷🇺 Si ya dominas el ni fu ni fa, es hora de aprender sus equivalentes en ruso. Te servirán para cuando algo no te provoca ninguna emoción fuerte y quieres responder de forma suave y natural. Aquí tienes tres opciones coloquiales que significan lo mismo: "nada especial", "regular", "ni fu ni fa". · Так себе [tak sebe] — la expresión más común y neutra. · Ник

6👏4🥰3🍌1💋1

21 Jul 2026, 15:01 UTC70 views14 reactionsread 7 August 2026
Photo

Ni fu ni fa: говорим как испанцы 🦙 Запомните эту забавную фразу — она звучит так, будто прилетела из китайского, но на самом деле это чистейший испанский. Дословно не переводится, а означает что-то среднее между «так себе», «ни хорошо, ни плохо», «никак» и «ни рыба ни мясо». Идеальный ответ, когда эмоций — ноль. Используйте, когда хотите мягко сказать «ничего особенного» и при этом прозвучать абсолютно естественно.

🥰5👏4🔥3🍌1💋1

19 Jul 2026, 22:07 UTC81 views18 reactionsread 7 August 2026
Photo

🏆 Финал Чемпионата мира! После невероятного матча, полного адреналина, напряжения и ярких эмоций до самой последней минуты, сборная Испании вырывает победу в этой по-настоящему исторической встрече на поле и официально становится новым чемпионом мира! Вот несколько слов, которые часто используются в этом контексте: • El partidazo — Матчище / Крутой матч. • La victoria — Победа. • El campeón — Чемпион. • Celebrar —

9🎉3😐3🤔2🍌1

18 Jul 2026, 08:57 UTC72 views16 reactionsread 7 August 2026
Photo

Добро пожаловать☀️❤️ Bienvenido ❤️☀️

8👏3🔥3🍌2

16 Jul 2026, 21:12 UTC86 views15 reactionsread 7 August 2026
Photo

Привет, друзья! 🔥 В эти выходные в Москве стартует латина-фест — место с точно таким же вайбом, как мы любим: живое общение, музыка, танцы и полная перезагрузка. Вход свободный, длительность: неделя. Стартовый уикенд будет самым горячим! Атмосфера — огонь и максимум практики. Приходите зарядиться! Программа: http://latina-fest.ru/ P.S. Админ тоже там появится — ловите момент для спонтанного диалога на español

5👏4🥰3🤩2🍌1

Showing the 12 most recent of 17 posts we hold for @rusaniol. 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 — 235,047 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.

Mentions

Named by 4 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 7 August 2026 — this entry's latest reading, not the date you are reading this.

“Руса&ñol” (@rusaniol), 197 subscribers as measured 7 August 2026. Telegram Register, tgregister.com/channel/rusaniol.

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.