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Channel

یادگیری زبان انگلیسی

@EenglishLearning

On this record: Topic · Observations · Also posting the same content · Growth · Engagement · What this channel posts · Reactions · Posts · Polls · Citations · Telegram's recommendations · Cite this entry

17,151subscribers

-73 since we began measuring on 5 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001009996710
TypeChannel
Username@EenglishLearning
Created29 September 2015measured — cross-checked against a third-party dataset (TGDataset)
First recorded6 August 2026
Last confirmed live8 September 2026
Measurements held27
Confirmed unchanged1 time, most recently 8 September 2026
On Telegramt.me/EenglishLearning

Topic

Education — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 10 August 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.

Observations

These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.

Content that also appears on other registered channels

Posts published here appear word for word on 2 other registered channels. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.

Matching posts — open both and compare (4 of the pairs behind the counts below)
Posted firstThenOverlapGap
@SwallowEng/669811 Aug 2026, 10:14 UTC@EenglishLearning/83464 · this entry1 Aug 2026, 10:14 UTC1.00under a minute
@SwallowEng/669821 Aug 2026, 18:36 UTC@EenglishLearning/83465 · this entry1 Aug 2026, 18:36 UTC1.00under a minute
@SwallowEng/669832 Aug 2026, 06:54 UTC@EenglishLearning/83466 · this entry2 Aug 2026, 06:54 UTC1.00under a minute
@SwallowEnglish/317422 Aug 2026, 06:54 UTC@EenglishLearning/83466 · this entry2 Aug 2026, 06:54 UTC1.00under a minute
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@SwallowEng7 (7/7 hand-verifiable sample passed)1.00under a minutethis entry (70)
@SwallowEnglish7 (7/7 hand-verifiable sample passed)1.00under a minutethis entry (70)

Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.

What this cannot establish

MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.

Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. None of the 0 matches recorded here fall after that date, so for this entry we cannot say whether any of them carried a credit. The duplication is measured; the absence of attribution is not.

“Published first” means first in this corpus. We hold 12 comparable posts for this entry, running 1 August 2026 to 7 August 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.

The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.

  • Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
  • 'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
  • shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
  • Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).

Across the whole group of 3, the earliest publisher we hold is @SwallowEng. That is a statement about our reading window, not a claim of authorship.

Recorded under the key clone_source, last confirmed 8 August 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.

Also posting the same content

This channel’s posts match, word for word or near enough, posts on 2 other registered channels, 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.

Growth

17,15117,22417,187.55 August 2026 — 17,224 subscribers6 August 2026 — 17,224 subscribers7 August 2026 — 17,222 subscribers8 August 2026 — 17,219 subscribers9 August 2026 — 17,214 subscribers9 August 2026 — 17,217 subscribers11 August 2026 — 17,216 subscribers12 August 2026 — 17,213 subscribers13 August 2026 — 17,212 subscribers14 August 2026 — 17,206 subscribers15 August 2026 — 17,200 subscribers17 August 2026 — 17,198 subscribers18 August 2026 — 17,194 subscribers19 August 2026 — 17,190 subscribers20 August 2026 — 17,189 subscribers21 August 2026 — 17,188 subscribers24 August 2026 — 17,183 subscribers25 August 2026 — 17,180 subscribers26 August 2026 — 17,171 subscribers27 August 2026 — 17,168 subscribers28 August 2026 — 17,162 subscribers29 August 2026 — 17,164 subscribers30 August 2026 — 17,161 subscribers1 September 2026 — 17,160 subscribers3 September 2026 — 17,158 subscribers5 September 2026 — 17,159 subscribers8 September 2026 — 17,151 subscribers5 August 20268 September 2026
27 measurements spanning 33 days, net -73. 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 17,140–17,235 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 27
Measured (UTC)SubscribersChange
8 Sept 2026, 04:1517,151-8
5 Sept 2026, 03:2217,159+1
3 Sept 2026, 11:5717,158-2
1 Sept 2026, 05:0617,160-1
30 Aug 2026, 10:0517,161-3
29 Aug 2026, 13:0317,164+2
28 Aug 2026, 11:3417,162-6
27 Aug 2026, 12:2517,168-3
26 Aug 2026, 14:0417,171-9
25 Aug 2026, 11:0617,180-3
24 Aug 2026, 11:2917,183-5
21 Aug 2026, 07:1717,188-1
20 Aug 2026, 10:4717,189-1
19 Aug 2026, 10:0317,190-4
18 Aug 2026, 07:2217,194-4
17 Aug 2026, 10:0317,198-2
15 Aug 2026, 19:1617,200-6
14 Aug 2026, 08:1717,206-6
13 Aug 2026, 00:3417,212-1
12 Aug 2026, 01:5517,213first reading

Engagement

138 posts held, back to 1 August 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 54 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
0.918%
avg views ÷ 17,151 subscribers
Avg views / post
157
104 posts measured
Reaction rate
1.01%
reactions ÷ views · ER floor
Posts in window
104
of 138 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. It is computed over the 22 of 104 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 3 September 2026
Posts held138 (1 August 20263 September 2026)
Views total16,373
Reactions total41
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken3 Sept 2026, 09:29 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

Video runtime
20m 34s
Average length
54s

Measured directly from 23 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

47 reactions across 24 posts, in 2 distinct kinds. The most used accounts for 66.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
3166.0%
👍1634.0%

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 29 of the 138 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 47 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 138 most recent posts we hold, published 1 August 2026 to 3 September 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

3 Sept 2026, 07:55 UTC22 viewsread 3 September 2026
Forwarded from @EnglishForYou

9 عبارت کف خیابونی‌ 👇😎 What's up ? چخبر ؟ No worries نگران نباش It's all good همه چی خوبه For sure حتما / بدون شک That's fire خیلی باحاله/ عالیه Hold on صبر کن I don't care برام مهم نیست Whatever اصلا هرچی ، بدرک Take it easy سخت نگیر ، راحت باش 🔥 یه سؤال مهم... اگه بدون کلاس‌های خسته‌کننده و کتاب‌های قطور هم می‌شد انگلیسی یاد گرفت، امتحانش می‌کردی؟ 🎁 جوابش اینجاست...

2 Sept 2026, 21:21 UTC58 viewsread 3 September 2026
Forwarded from @EnglishForYou

اشتباه خیلی‌ها اینه که بدون شناخت سبک یادگیری‌شون زبان می‌خونن! تو این اشتباه رو تکرار نکن👇 تست شخصیت https://formafzar.com/form/8qhff

2 Sept 2026, 21:21 UTC53 viewsread 3 September 2026
Forwarded from @EnglishForYou

چرا بعضی‌ها سریع‌تر زبان یاد می‌گیرن؟ شاید جوابش تو شخصیت یادگیری تو باشه! تست شخصیت یادگیری 👇 https://formafzar.com/form/8qhff

2 Sept 2026, 17:36 UTC90 viewsread 3 September 2026
Forwarded from @EnglishForYou

Every successful person has a painful story: Every painful story has a successful ending. Accept the pain and get ready for success. 💬 هر فرد موفقی داستان دردناکی دارد: هر داستان دردناکی پایان موفقیت‌آمیزی دارد. درد را بپذیر و برای موفقیت آماده شو. @EnglishForYou

2 Sept 2026, 07:51 UTC131 viewsread 3 September 2026
Forwarded from @EnglishForYouVideo

😀 فان اگه بخوایم بپرسیم فلان کلمه به انگلیسی چی میشه باید بگیم: 🙋‍♀🙋‍♂How do you say هلیکوپتر in English? 🎯 چند بار کلاس انگلیسی رفتی و نصفه رهاش کردی؟ شاید مشکل از تو نبوده، از روش یادگیری بوده... این بار قراره یه تجربه کاملاً متفاوت داشته باشی. 🔥 فقط چند روز فرصت داری! کلیک کن... How do you say فرودگاه in English❓

1 Sept 2026, 21:09 UTC83 viewsread 3 September 2026
Forwarded from @EnglishForYouVideo message

Video message, posted without a caption

1 Sept 2026, 21:09 UTC93 viewsread 3 September 2026
Forwarded from @Nemone_Tadriss

بدون تست شخصیت یادگیری زبان رو‌ شروع نکن. 👇 https://formafzar.com/form/8qhff

1 Sept 2026, 14:40 UTC157 views1 reactionsread 3 September 2026
Forwarded from @EnglishForYouPhoto

📖 نکته‌ای که باید بلد باشی ⚠️ اشتباه رایج امروز ❌ I made my homework. ✅ I did my homework. خیلی از زبان‌آموزها "make" و "do" رو با هم اشتباه می‌گیرن. ✅ Make = ساختن / ایجاد کردن چیزی ✅ Do = انجام دادن یک کار یا فعالیت 😮 شاید بزرگ‌ترین اشتباهت برای یادگیری انگلیسی، انتخاب روش اشتباه بوده... این بار فرقش رو خودت می‌بینی. 🚀 جشنواره «تیر آخر» رو از دست نده.

1

1 Sept 2026, 06:00 UTC163 views3 reactionsread 3 September 2026
Forwarded from @EnglishForYou

🤔 «یادم نمیاد» به انگلیسی چی میشه؟ I don't remember 👍 I don't remind ❤️ @EnglishForYou

👍3

31 Aug 2026, 20:57 UTC165 viewsread 3 September 2026
Forwarded from @EnglishForYou

چرا بعضی‌ها سریع‌تر زبان یاد می‌گیرن؟ شاید جوابش تو شخصیت یادگیری تو باشه! تست شخصیت یادگیری 👇 https://formafzar.com/form/8qhff

31 Aug 2026, 20:54 UTC165 viewsread 3 September 2026
Forwarded from @Nemone_Tadriss

اشتباه خیلی‌ها اینه که بدون شناخت سبک یادگیری‌شون زبان می‌خونن! تو این اشتباه رو تکرار نکن👇 تست شخصیت https://formafzar.com/form/8qhff

31 Aug 2026, 09:47 UTC192 viewsread 3 September 2026
Forwarded from @EnglishForYouVideo

🤷 یادگیری زبان سخت نیست اگه مفهوم این جمله رو متوجه بشی: Language to a human is like web to a spider 🕷️ همون‌طور که عنکبوت ساختن تار رو به صورت طبیعی بلده، انسان هم توانایی یادگیری زبان رو در ذهنش داره. 🧠 مشکل خیلی‌ها نداشتن استعداد نیست... فقط هنوز مسیر درست استفاده از این توانایی رو پیدا نکردن. 🎯 💥 جشنواره بزرگ «تیر آخر» شروع شد!

Showing the 12 most recent of 138 posts we hold for @EenglishLearning. 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.

Polls

The poll we hold for this entry, as Telegram rendered it when we read the post. A poll’s figures keep moving after that, so each one is dated.

29 Aug 2026, 17:19 UTCAnonymous Quiz3,040 voters approx.

I'm as busy as a ....!

  1. Aunt16%
  2. Ant27%
  3. Bee57%

Shares as published. 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 138 most recent posts we hold, published 1 August 2026 to 3 September 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.

Forward network

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.

Appears in Telegram’s recommendations for other channels

The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.

GET ENGLISH
@lezzateenglisi · 46,719
Telegram ranks this channel #5 of 73 here — alongside 72 others — read 27 August 2026
کدینگ ۵۰۴ | coding 504
@coding_504 · 53,146
Telegram ranks this channel #6 of 81 here — alongside 80 others — read 1 September 2026
MAD MAX
@MAADMAX365 · 39,622
Telegram ranks this channel #22 of 75 here — alongside 74 others — read 30 August 2026
انگلیسی با رضا آرش نیا
@arashniaenglish1 · 75,166
Telegram ranks this channel #24 of 74 here — alongside 73 others — read 19 August 2026
مهاجرت کاری و تحصیلی
@internationalcollege · 53,554
Telegram ranks this channel #28 of 71 here — alongside 70 others — read 23 August 2026
🔒{ پروکسی فورال }🔓
@Proxy_Forall · 36,485
Telegram ranks this channel #57 of 68 here — alongside 67 others — read 1 September 2026
کتابخانه
@bookhapdf · 75,583
Telegram ranks this channel #67 of 82 here — alongside 81 others — read 19 August 2026

This channel appears in 7 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.

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 8 September 2026 — this entry's latest reading, not the date you are reading this.

“یادگیری زبان انگلیسی” (@EenglishLearning), 17,151 subscribers as measured 8 September 2026. Telegram Register, tgregister.com/channel/EenglishLearning.

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.