Voice message, posted without a caption
❤1

Channel
@SakuraLearningLounge
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Polls · Citations · Cite this entry
2,154subscribers
-369 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
| Telegram ID | -1003796097535 |
|---|---|
| Type | Channel |
| Username | @SakuraLearningLounge |
| Created | Between 1 February 2026 and 9 July 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 18 September 2026 |
| Measurements held | 15 |
| Confirmed unchanged | 1 time, most recently 18 September 2026 |
| On Telegram | t.me/SakuraLearningLounge |
Education — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 16 September 2026 and assigned it the closest of 31 fixed categories, at 100% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and why it has no browse page of its own yet.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 18 Sept 2026, 23:19 | 2,154 | -66 |
| 14 Sept 2026, 04:57 | 2,220 | -10 |
| 10 Sept 2026, 11:20 | 2,230 | -64 |
| 5 Sept 2026, 07:20 | 2,294 | -48 |
| 1 Sept 2026, 01:34 | 2,342 | -13 |
| 28 Aug 2026, 22:16 | 2,355 | -9 |
| 26 Aug 2026, 01:33 | 2,364 | -26 |
| 22 Aug 2026, 19:29 | 2,390 | -11 |
| 19 Aug 2026, 08:48 | 2,401 | -27 |
| 16 Aug 2026, 16:16 | 2,428 | -31 |
| 12 Aug 2026, 14:15 | 2,459 | -25 |
| 9 Aug 2026, 19:21 | 2,484 | -30 |
| 6 Aug 2026, 13:01 | 2,514 | -9 |
| 6 Aug 2026, 05:33 | 2,523 | no change |
| 6 Aug 2026, 04:18 | 2,523 | first reading |
23 posts held, back to 9 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 2 pages 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 23 posts for this entry, the most recent from 7 August 2026. An engagement rate over an empty window would be a number about nothing.
Measured directly from 2 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.
33 reactions across 18 posts, in 2 distinct kinds. The most used accounts for 90.9% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 30 | 90.9% | |
| 🔥 | 3 | 9.09% |
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 21 of the 23 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 39 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 23 most recent posts we hold, published 9 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.
Voice message, posted without a caption
❤1
#readingexercise 🐸 pomp: a show of greatness, importance, or ceremony, especially by a king or ruler. 🐸 petition: a formal written request made to a person or authority. 🐸 tame: quiet, gentle, and not dangerous or aggressive. 🐸 tyrant: a cruel and unfair ruler who has complete power. 🐸 misfortunes: bad events or situations that cause problems or suffering. 📚 *Grammar* “before + subject + should” The story says: “...…
❤1
#fun تاریخ صدای "Th" در زبان انگلیسی! @SakuraLearningLounge 🌸🍃 برای اطلاع از دوره های skill based, به ما سر بزنید
❤1
#listeningpractice Easy English Podcast, Solo Trip or Family Trip? @SakuraLearningLounge 🌸🍃 برای اطلاع از دوره های skill based, به ما سر بزنید
❤1
#readingexercise B1 🌟 give up our possessions: to leave behind or surrender the things we own 🌟“If you came to me..., I would still know you.” This is a second conditional: If + past simple → would + base verb It describes a hypothetical or unlikely situation. @SakuraLearningLounge 🌸🍃 برای اطلاع از دوره های skill based, به ما سر بزنید
❤2
#expandyourvocabulary گاهی یه حرف اضافه معنی فعل رو تغییر میده! @SakuraLearningLounge 🌸🍃 برای اطلاع از دوره های skill based, به ما سر بزنید
❤1
#expandyourvocabulary بیاین یاد بگیریم ادرس بدیم! @SakuraLearningLounge 🌸🍃 برای اطلاع از دوره های skill based, به ما سر بزنید
❤1
#Funnycomic lost his senses: unable to think clearly or rationally. @SakuraLearningLounge 🌸🍃 برای اطلاع از دوره های skill based, به ما سر بزنید
❤3
#vocabularyandphrases چطور به انگلیسی بگیم: چشمامم رو هم نزاشتم @SakuraLearningLounge 🌸🍃 برای اطلاع از دوره های skill based, به ما سر بزنید
❤1
#expandyourvocabulary گاهی اوقات توی اسپیکینگ میخواید راجب احساسات پیچیده ای صحبت کنید. این اصطلاحات خیلی به درد اون موقع میخورن! 🙌 @SakuraLearningLounge 🌸🍃 برای اطلاع از دوره های skill based, به ما سر بزنید
❤1
چند نفر آمادن که یک جلسه رایگان کلاس اسپیکینگ شرکت کنن✨
Shares as published. No per-option vote count is published by Telegram, so none is shown.
Posted without readable text
❤1
Showing the 12 most recent of 23 posts we hold for @SakuraLearningLounge. 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.
The 3 polls we hold for this entry, as Telegram rendered them when we read the post. A poll’s figures keep moving after that, so each one is dated.
چند نفر آمادن که یک جلسه رایگان کلاس اسپیکینگ شرکت کنن✨
Shares as published. No per-option vote count is published by Telegram, so none is shown.
James is _ European scientist working on cancer research.
Shares as published. No per-option vote count is published by Telegram, so none is shown.
📃کامنتا رو باز کنیم اگر سوالی داشتین ازم بپرسین؟
Shares as published, totalling 0%. No per-option vote count is published by Telegram, so none is shown.
Percentages only — there are no per-option vote counts here, because Telegram publishes none. The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.
The shares need not add up to 100. Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.
Read from the 23 most recent posts we hold, published 9 July 2026 to 7 August 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.
Named by 22 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 18 September 2026 — this entry's latest reading, not the date you are reading this.
“Sakura Learning Lounge🌸🍃” (@SakuraLearningLounge), 2,154 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/SakuraLearningLounge.
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.