6 measurements spanning 29 days, net -7. 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 875–884 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
5 Sept 2026, 14:20
876
-3
29 Aug 2026, 10:05
879
-3
21 Aug 2026, 13:25
882
+1
14 Aug 2026, 23:58
881
-2
8 Aug 2026, 01:06
883
no change
7 Aug 2026, 13:57
883
first reading
Engagement
9 posts held, back to 7 October 2025 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 page of Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 9 posts for this entry, the most recent from 18 March 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
32s
Average length
11s
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
357 reactions across 9 posts, in 14 distinct kinds. The most used accounts for 38.7% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
138
38.7%
custom 5283080782221445113
36
10.1%
custom 5285311742853805687
30
8.40%
custom 5319282447379104128
27
7.56%
custom 5285003445806333647
22
6.16%
custom 5438524861368527569
20
5.60%
custom 5440659249661243499
18
5.04%
custom 5440843868830460726
18
5.04%
custom 5440838092099446689
16
4.48%
custom 5282952805080925509
9
2.52%
custom 5323461179975171442
8
2.24%
custom 5323638828412469787
8
2.24%
custom 5323662734200436216
6
1.68%
custom 5285302070587453787
1
0.28%
Custom emoji. 13 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 are Telegram’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 9 of the 9 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 357 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 9 most recent posts we hold, published 7 October 2025 to 18 March 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.
Telegram Stars
Stars received
2
across the posts below
Posts paid on
2
of 9 we hold a reading for · 22%
Most on one post
1
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @spanishcorner. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 9 most recent posts we hold for this entry, published 7 October 2025 to 18 March 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
Моя ученица переехала в Валенсию! 😍😱
Да ещё и во время Las Fallas!
Изначально это был обычай плотников: к дню святого San José (покровителя ремесленников) они сжигали деревянные конструкции и старые материалы.
Со временем к кострам начали добавлять фигуры ninots.
19 марта произойдёт традиционное сожжение фигур, что символизирует завершение цикла 🫶🏻
А вы бы хотели побывать в Испании во время праздничной недели? 👀
Молчание ягнят или почему взрослые ученики молчат на уроках
Со взрослыми (25+) устные задания часто заканчивается тем, что говорит преподаватель.
✅Причина простая: у ученика нет речевого алгоритма 🥲 особенно, если это его первый иностранный язык.
Как быстро помочь ему собрать фразу и не зависнуть?
Я запускаю говорение на первых занятиях через 3 опоры ⬇️
🔺 Скелет фразы
У учеников на Миро есть созданная мной “схе…
🔺AI не заменит сильных преподавателей.
Я замечаю как преподаватели из раза в раз обсуждают, что нейросети «убьют» нашу профессию. Но происходит обратное: ценность хорошего преподавателя только растёт.
💅 Загибайте пальцы :
➡️вы подстраиваете обучение под каждого студента
➡️поддерживаете его мотивацию
➡️периодически корректируете стратегию
➡️становитесь для ученика психологической опорой в изучении языка
✅Сильный п…
три хитрых приёма взбодрить ваших учеников после зимней спячки паузы
➡️Перед перерывом на отдых сделайте краткий обзор всего того что вы прошли за месяц:
даже если это только одна грамматическая, но сложная тема 🙂
Я понимаю, тебе было трудно: весь декабрь уже скорее хочется закрыть дедлайны, отдыхать и кушать салаты, но ты посещал/а наши занятия!
🔺Не спрашивайте «как прошли каникулы?»
Мы уже в точке начала. Лучш…
🎀 Léxico navideño (рождественская лексика)
Как будут по-испански самые популярные ёлочные игрушки?
⚪la corona — рождественский венок
⚪la campanita — колокольчик
⚪las luces de Navidad — новогодние огоньки
⚪el ángel — ангел
⚪el copo de nieve — снежинка
⚪la estrella — звезда
⚪la bola — ёлочный шар
Попробуйте составить своё предложение с любым словом из списка.
Пишите в комментариях, я проверю! ❤️
Понемногу готовимся к подведению итогов года 🙂↔️ у вас уже настрой на джингелбелс? 😅 а вот ещё рано! Ещё месяц плодотворной работы впереди 🤍
Эти 3️⃣ учебных месяца были как никогда ответственными и занятыми для меня : я собрала группы (2 группы с нуля, 1 группа А1 и 1 уровня А2) и мы подвели промежуточные итоги!
(хотя, если честно, мы подводим их каждый месяц вместе с ребятами 😏)
Я безумно рада работать со всеми;…
Врываемся в завершающий месяц de otoño! 🍂
Октябрь у меня выдался очень насыщенным:
✅групповые занятия
✅парные занятия
✅индивидуальные занятия
✅успешное проведение рассылки материалов 🐱
Каждый формат со своей структурой, но одну цель: чтобы обучение было живым, гибким и удобным для вас!
Однако, в октябре была не только работа! 🌳
В этом году осень невероятно красивая, я гуляла всегда когда была такая возможность! (…
🇪🇸 Один день в Испании
И сразу всё становится ясно, зачем мы учим язык
Моя давняя ученица вчера оказалась в Барселоне, у Sagrada Familia
Даже сказала, что не забыла язык 💪🏻 смогла поддержать small-talk с местными 🥰
Ради таких моментов стоит учить язык ❤️
Её голосовое сообщение выложу ниже ⬇️
Showing the 9 most recent of 9 posts we hold for @spanishcorner. 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.
Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.
Forward network
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.
Mentions
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.
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 5 September 2026 — this
entry's latest reading, not the date you are reading this.
“🇪🇸Анастасия spanish•corner • испанский язык онлайн” (@spanishcorner), 876 subscribers as measured 5 September 2026. Telegram Register, tgregister.com/channel/spanishcorner.
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.
