Channel
@learninglanguage_conf
On this record: Also posting the same content · Growth · Engagement · Reactions · Posts · Citations · Cite this entry
221subscribers
+1 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1003779696909 |
|---|---|
| Type | Channel |
| Username | @learninglanguage_conf |
| Created | Between 1 February 2026 and 30 June 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 7 August 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 1 time, most recently 7 August 2026 |
| On Telegram | t.me/learninglanguage_conf |
This channel’s posts match, word for word or near enough, posts on 1 other registered channel, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.
Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 7 Aug 2026, 15:22 | 221 | +1 |
| 7 Aug 2026, 03:18 | 220 | no change |
| 6 Aug 2026, 22:03 | 220 | first reading |
20 posts held, back to 6 August 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 1 pageof 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. It is computed over the 3 of 20 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 6 August 2026 |
|---|---|
| Posts held | 20 (6 August 2026 – 6 August 2026) |
| Views total | 343 |
| Reactions total | 11 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 7 Aug 2026, 03:18 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.
11 reactions across 3 posts, in 3 distinct kinds. The most used accounts for 72.7% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| custom 5332380633048030504 | 8 | 72.7% | |
| custom 5330190732303017223 | 2 | 18.2% | |
| custom 5332581027632128509 | 1 | 9.09% |
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 3 of the 20 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 11reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 20 most recent posts we hold, published 6 August 2026 to 6 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.
𓏵︶⏝ ┊Хотели бы• • • 🌟 ꙰— Хочу найти людей во флуд по animal hospitalㅤ፝ㅤ۪ ░🌟— Кто будет моим/моей "..." для моего/моей "...." □🤩 — Хочу найти классных друзей которые шарят за Animal hospital 𐇽ᰰᩙ🌟 — Хочу найти крутую команду! (˶ᵔ ᵕ ᵔ˶) Знакомо ❓ У нас вы найдете все ⤷ 🌱 ꙰— ᥒᥲ᥎igᥲᴛi᧐ᥒ ⤷ ݊〰️ ꙰— ⲙᥙᴛᥙᥲᥣ ρiᥲr ㅤ፝ㅤ۪ㅤ፝ㅤ۪ㅤ፝ㅤ۪ㅤ፝ㅤ۪ㅤ፝ㅤ۪ㅤ፝ㅤ۪ㅤ፝ㅤ۪ㅤ፝ㅤ۪ㅤ፝ㅤ۪
𝓦𝓮𝓵𝓬𝓸𝓶𝓮 Ⴕი... 🇱 🇦 🇨 🇹 🇴 🇵 🇭 🇮 🇱 🇮 🇦 ᥴ𝖿! ≻───── ⋆✩⋆ ─────≺ ♡. Лактофилия (также встречается термин «молочный фетишизм») — это парафилия, при которой сексуальное возбуждение вызывают идеи грудного вскармливания, вид лактирующей груди или сам процесс сосания. Это может включать фантазии, ролевые игры или физическое взаимодействие с лактирующим партнёром. ≻───── ⋆✩⋆ ─────≺ - Хотел посмотреть хентай с лактофилией? - Во…
🫧 🤩𝑀𝑢𝑡𝑢𝑎𝑙 𝑝𝑖𝑎𝑟 𝑐𝑜𝑛𝑓𝑒𝑠𝑠𝑖𝑜𝑛✨рт •.:°❀×═════════×❀°:.• 🌟🌟🌟 💕дᥱ жᥱ ⲙ᧐жн᧐ ᥰρ᧐ᥰᥙᥲρᥙᴛь ᥴʙ᧐ᥔ κᥲнᥲ᧘? 𐌑᧐ᥔ нᥙᴦдᥱ нᥱ ᥰρ᧐᥊᧐дᥙᴛ ᥰ᧐ ᥰ᧐ρ᧐ᴦу!!... 🌟🌟🌟🌟 🤩🤩🤩🤩 🌟🌟🌟🌟 🔞п постик | ➖авигация🤩🤩 🌟🌟🌟 🤩🤩🤩🤩🤩🤩🤩🤩
⭐ добро пожаловать в🐾 ⭐️⭐️ 🤩🪽🤩 🤩🤩 [🐇]- блин я так люблю сочетание черного и белого!! 🦇 ✨ [🐈⬛]-а я нашла крутой стикерпак но не знаю где им поделиться ✝️ 🎼 [🦄]-а я не знаю где мне поделиться своими новыми вещами!! 🌹 🖤 [🐈⬛]- а я круто оформила те…
Привет, не знаю, относится ли это к ин.язам, но есть те, кто учил/учит токипону? Был какой-то сайт и видео с объяснениями, но я потеряла :( Можете дать ссылки на материалы? #тейк
custom 53325810276321285091
Как относитесь к изучению языков с помощью дуолинго? #тейк
custom 53323806330480305044custom 53301907323030172231
[🇮🇹]Ciao! Учу итальянский уже пару месяцев, уровень A2-B1, ищу человека, с которым можно будет регулярно общаться на этом языке #тейк #итальянский #романская_группа
custom 53323806330480305044custom 53301907323030172231
🥹💌🥹💙🤩🔞🌟🤩🔞🌟🤩 🤩🤩 ⸺ Хочешь поспорить кто же всё таки построил пирамиды? » ⸺ Каждый раз хочешь узнать ещё больше об истории? » ✅ ✅ отправить тейк 🚮 доска позора 🌟🌟🤩mp (0+) ✅🤩rules🤩adm 🤩own:хиканян🌟🌟
😀😀😀😀😀😀😀😀😀 😀😀😀ИЩЕМ АДМИНОВ !! заинтересован игрой yandere simulator ?? — хочешь посмотреть на творчество с этой игрой ??? 🌟 тогда ... 🔪 😀😀😀 WELCOME TO YANSIM CONFESSION 🌟 тут ты можешь узнать про скандалы с яндевом, зашарить за игру, найти файл чтобы скачать, поделиться творчеством или же поделиться своим или же узнать много новых фактов об игре!!! 🌟 owner | mp post 0+ | takebot | navigation 😜
🗝Бᴧин, хᴏчу нᴀйᴛи ᴏдин ʍуᴧьᴛиᴋ, нᴏ ниᴋᴛᴏ нᴇ ɜнᴀᴇᴛ ᴋᴀᴋ ᴏн нᴀɜыʙᴀᴇᴛᴄя! 🗝А я ᴨᴏʍню, ᴋᴀᴋ иᴦᴩᴀᴧᴀ ʙ ᴏдну иᴦᴩу ʙ дᴇᴛᴄᴛʙᴇ, нᴏ нᴀйᴛи ᴇё нᴇ ᴨᴏᴧучᴀᴇᴛᴄя.. 🤩🤩🤩🤩🎁🤩🤩 🤩🤩🖤🖤 🍼🍼 🩸🎶🤍🤩🤩🤍🤍🍓 Знᴀᴋᴏʍᴏ?🎁🗝🗝🗝🎁🥡 🗝🗝🗝 ✨✨✨✨✨✨ ✨✨✨✨✨✨✨✨✨✨🎀 Здᴇᴄь ᴛы ʍᴏжᴇɯь ᴄᴨᴩᴏᴄиᴛь ᴏ ᴛᴏʍ, чᴛᴏ ищᴇɯь — будь ᴛᴏ иᴦᴩᴀ, ʍуᴧьᴛиᴋ, ᴀниʍᴇ иᴧи дᴀжᴇ ᴇдᴀ и ᴄᴛиᴧь ᴏдᴇжд! Ждᴇʍ ᴛᴇбя ʙ нᴀɯᴇʍ ᴋᴀнᴀᴧᴇ!!
НАБОР В АДМИНЫ 🌟🌟🤩🌟p confessions 🤩🤩 вам вечно отказывают в вп из-за порога ? 🤩🤩 или очень хотите продвинуть свой канал, но найти вп сложно(( 🌟плевать на причины, главное, что здесь вы можете найти, что вам нужно !! 🤩🪢предложить нам вп 0⃣+ 🤍 🤩 ; зоо/педо/рейд
. . . 🤩🤩🤩 🤩 🤭 🤩🤩🤩 🤩 : 💕лин! По КВН-у совсем нет кф! 🤩🤩🤩🤩🤩🤩🤩🤍🤩🤩🤩 🤩 : 🔹 так люблю КВН! Но друзья не понимают меня. . . 🤩🤩🤩🤩🤩🤍🤩🤩🤩🤩🤩🤩 🤩 : 🤩 мне нравится шип *** и я нарисовал по ним арт!! . . 🔤се это тебе 🔤накомо 🍼 🤩 🤩 🤩обро пожаловать . . . . 💤 🤩 🤩🤩🤩🤩🤩 🤩🤩🤩 🤩🤩 🤩🤩🤩 🎀🎀 🎀 🤩 🤩🤩🤩🤩 🤩 🤍 Bot ; admins ; boost ; mp 🎀
Showing the 12 most recent of 20 posts we hold for @learninglanguage_conf. 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 — 113,955 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.
Republishes
Channels on the register whose posts this channel has forwarded.
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 23 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.
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.
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.
“learning language confession” (@learninglanguage_conf), 221 subscribers as measured 7 August 2026. Telegram Register, tgregister.com/channel/learninglanguage_conf.
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.