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Telegram profile photo for English for Iranian

Channel

English for Iranian

@English_for_Iranians

On this record: Topic · Observations · Also posting the same content · Growth · Engagement · What this channel posts · Reactions · Posts · Cite this entry

1,568subscribers

-99 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1001326181809
TypeChannel
Username@English_for_Iranians
CreatedBetween 1 March 2018 and 31 July 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live12 October 2026
Measurements held17
Confirmed unchanged1 time, most recently 12 October 2026
On Telegramt.me/English_for_Iranians

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 11 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 (6 of the pairs behind the counts below)
Posted firstThenOverlapGap
@zabanmehr_IELTS/175928 Jul 2026, 12:33 UTC@English_for_Iranians/1484 · this entry28 Jul 2026, 12:33 UTC1.00under a minute
@English_for_Iranians/1488 · this entry29 Jul 2026, 20:07 UTC@zabanmehr_IELTS/176329 Jul 2026, 20:07 UTC1.00under a minute
@zabanmehr_IELTS/176429 Jul 2026, 20:57 UTC@English_for_Iranians/1489 · this entry29 Jul 2026, 20:57 UTC1.00under a minute
@zabanmehr_IELTS/176630 Jul 2026, 11:02 UTC@English_for_Iranians/1491 · this entry30 Jul 2026, 11:02 UTC1.00under a minute
@English_for_Iranians/1493 · this entry30 Jul 2026, 12:13 UTC@zabanmehr_IELTS/176830 Jul 2026, 12:13 UTC1.00under a minute
@zabanmehr_IELTS/17775 Aug 2026, 14:49 UTC@English_for_Iranians/1503 · this entry5 Aug 2026, 14:50 UTC1.00under a minute
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@zabanmehr_IELTS12 (8/8 hand-verifiable sample passed)1.00under a minute@zabanmehr_IELTS (8–4)
@zabanmehracademy11 (8/8 hand-verifiable sample passed)1.00under a minute@zabanmehracademy (11–0)

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. 6 of the 19 matches recorded here fall after that date and carried no header when we read them. The rest predate reliable capture and are not evidence either way.

“Published first” means first in this corpus. We hold 14 comparable posts for this entry, running 28 July 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 @zabanmehr_IELTS. That is a statement about our reading window, not a claim of authorship.

Recorded under the key clone_copy, 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

1,5681,6671,617.57 August 2026 — 1,667 subscribers7 August 2026 — 1,667 subscribers7 August 2026 — 1,666 subscribers11 August 2026 — 1,657 subscribers14 August 2026 — 1,653 subscribers18 August 2026 — 1,652 subscribers20 August 2026 — 1,649 subscribers24 August 2026 — 1,643 subscribers28 August 2026 — 1,637 subscribers31 August 2026 — 1,633 subscribers3 September 2026 — 1,629 subscribers8 September 2026 — 1,623 subscribers12 September 2026 — 1,613 subscribers16 September 2026 — 1,605 subscribers28 September 2026 — 1,585 subscribers6 October 2026 — 1,581 subscribers12 October 2026 — 1,568 subscribers7 August 202612 October 2026
17 measurements spanning 66 days, net -99. 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 1,553–1,682 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
12 Oct 2026, 22:381,568-13
6 Oct 2026, 02:551,581-4
28 Sept 2026, 22:001,585-20
16 Sept 2026, 05:421,605-8
12 Sept 2026, 13:211,613-10
8 Sept 2026, 10:561,623-6
3 Sept 2026, 06:571,629-4
31 Aug 2026, 07:021,633-4
28 Aug 2026, 02:541,637-6
24 Aug 2026, 21:571,643-6
20 Aug 2026, 22:351,649-3
18 Aug 2026, 02:331,652-1
14 Aug 2026, 22:081,653-4
11 Aug 2026, 05:011,657-9
7 Aug 2026, 18:441,666-1
7 Aug 2026, 16:181,667no change
7 Aug 2026, 14:361,667first reading

Engagement

20 posts held, back to 28 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 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 20 posts for this entry, the most recent from 7 August 2026. An engagement rate over an empty window would be a number about nothing.

What this channel posts

Video runtime
20s
Average length
20s

Measured directly from 1 video 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

1 reaction across 1 post, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍1100.0%

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 1 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 1 reactions 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 28 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.

Recent posts

7 Aug 2026, 08:00 UTC8 viewsread 7 August 2026
Photo

وبینار رایگان از نمودار تا نمره ۷ نقشه نوشتن writing task 1 آیلتس 🎯 توی این وبینار «رایگان» یاد می‌گیری... 📊 چطور نمودارها رو سریع و درست تحلیل کنی؟ ✍️ چطور یک Introduction و Overview استاندارد بنویسی؟ 📈 مهم‌ترین اطلاعات نمودار رو چطور تشخیص بدی؟ ⏱️ چطور توی ۲۰ دقیقه پاسخت رو کامل کنی؟ 🚫 از چه اشتباهاتی دوری کنی تا نمره‌ات افت نکنه؟ 👀 قرار نیست فقط چند تا نکته تئوری بشنوی! لینک ثبت‌نام رایگان: https://eseminar.tv/w…

7 Aug 2026, 07:43 UTC10 viewsread 7 August 2026

همه دارن توی وبینار های رایگانمون ثبتنام میکنن، قراره مطالبی رو یاد بگیری که جایی پیدا نمیکنی✅ جا نمونی🧐

6 Aug 2026, 16:09 UTC12 viewsread 7 August 2026
Photo

وبینار رایگان ✅ چطور در ۳۰ روز نمره اسپیکینگ آیلتس رو ۱ نمره افزایش بدیم؟ 🤍 با دکتر حسین زهره‌وند 🎯 توی این وبینار «رایگان» یاد می‌گیری: 📊 ممتحن دقیقاً چطور بهت نمره می‌ده؟ ⚡ چطور بدون مکث، پاسخت رو شروع کنی؟ 💬 چطور جواب‌های کوتاهت رو کامل‌تر کنی؟ ⏱ چطور در Part 2 دو دقیقه صحبت کنی؟ 🧠 چطور برای Part 3 سریع ایده بسازی؟ 🚫 چطور مکث، تپق و جواب‌های حفظی رو کمتر کنی؟ 🎁 به‌همراه ۱۶ راهکار عملی و یک برنامه تمرینی ۳۰ روزه …

6 Aug 2026, 12:19 UTC18 views1 reactionsread 7 August 2026

همگی این وبینارو ثبتنام کردید تا وبینار رایگان بعدیمون رو هم بهتون معرفی کنم؟؟😎

👍1

6 Aug 2026, 10:39 UTC17 viewsread 7 August 2026
Photo

وبینار رایگان انگلیسی در محیط کار 📍 از مصاحبه شغلی تا ارتباط حرفه‌ای 🤍 با آریانا 🎯 توی این وبینار یاد می‌گیری: 💼 چطور توی یک مصاحبه شغلی انگلیسی ✅حرفه‌ای خودت رو معرفی کنی؟ 🙋‍♂️چطور با مدیر و همکارهات راحت و طبیعی صحبت کنی؟ 🚀چطور درخواست کمک، پیشنهاد یا مخالفتت رو مؤدبانه بیان کنی؟ ✨چطور توی محیط کار با اعتمادبه‌نفس بیشتری انگلیسی صحبت کنی؟ 👇🏻 قراره دقیقاً یاد بگیری 👇🏻 ✔️ در موقعیت‌های واقعی محیط کار، دقیقاً چی بگ…

5 Aug 2026, 15:01 UTC21 viewsread 7 August 2026

🎁 فرقی نمی‌کنه... 📚 دانشجویی... 👨🏻‍💻 دنبال کار باشی... 🌍 هدفت مهاجرت باشه... یا فقط بخوای انگلیسی حرفه‌ای‌تر صحبت کنی... این وبینار رایگان می‌تونه یکی از کاربردی‌ترین کلاس‌هایی باشه که شرکت می‌کنی. 🚀

5 Aug 2026, 14:50 UTC22 viewsread 7 August 2026
Voice message

😅 تصور کن وارد مصاحبه شدی... مصاحبه‌کننده لبخند می‌زنه و میگه: Tell me about yourself. همه کلمه‌ها رو بلدی... ولی نمی‌دونی از کجا شروع کنی! 😶 این دقیقاً همون چیزیه که قراره توی وبینار یاد بگیری همراهم باش 🌱

5 Aug 2026, 12:39 UTC24 viewsread 7 August 2026

👀 کیا دوست دارن یه روز توی یه شرکت بین‌المللی کار کنن؟ یا حداقل بتونن توی یه مصاحبه شغلی انگلیسی، با اعتمادبه‌نفس حرف بزنن؟ 🙋🏻‍♂️🙋🏻‍♀️ اگه هدفت همچین چیزیه... این پیامو لایک کن برات یه خبر خفن دارم❤️

2 Aug 2026, 15:34 UTC42 viewsread 7 August 2026

کی از can استفاده کنیم کی از could ؟🤔 can 💡 موقعی که میخوایم درمورد توانایی هامون به صورت کلی استفاده کنیم از I can استفاده می کنیم I can play soccer میتونم فوتبال بازی کنم ⚽️ could 💡وقتی میخوایم درمورد توانایی هامون صحبت کنیم که در گذشته داشتیم و الان دیگ اون توانایی رو نداریم I could play soccer میتونستم فوتبال بازی کنم ⚽️ تمرین زیاد رمز موفقیته، ولی از کجا و چطوری؟ 🎁 با تعيين سطح رایگان آکادمی زبانمهر، درجه…

31 Jul 2026, 11:45 UTC50 viewsread 7 August 2026
Video

وبینار رایگان: ✅چرا زبان می‌فهمم، اما ❌نمیتونم صحبت کنم؟! 🤍با آریانا 🎯 توی این وبینار «رایگان» یاد می‌گیری: 🗣 چرا موقع Speaking قفل می‌کنیم؟ 💬 چطور لغت‌هایی که بلدیم رو وارد مکالمه کنیم؟ ⚡ چطور سریع‌تر جمله بسازیم؟ 🚫 چطور از ترجمه ذهنی فارسی خلاص بشیم؟ همین الان از لینک زیر ثبت نام کن👇 https://B2n.ir/kk5821

30 Jul 2026, 12:13 UTC48 viewsread 7 August 2026
Photo

وبینار رایگان: ✅چرا زبان می‌فهمم، اما ❌نمیتونم صحبت کنم؟! 🤍با آریانا 🎯 توی این وبینار «رایگان» یاد می‌گیری: 🗣 چرا موقع Speaking قفل می‌کنیم؟ 💬 چطور لغت‌هایی که بلدیم رو وارد مکالمه کنیم؟ ⚡ چطور سریع‌تر جمله بسازیم؟ 🚫 چطور از ترجمه ذهنی فارسی خلاص بشیم؟ همین الان از لینک زیر ثبت نام کن👇 https://B2n.ir/kk5821

30 Jul 2026, 11:09 UTC38 viewsread 7 August 2026
Voice message

🤔 فکر می‌کنی چرا بعد از این همه کلاس، هنوز جمله‌ها توی ذهنت گیر می‌کنن؟

Showing the 12 most recent of 20 posts we hold for @English_for_Iranians. 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.

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 12 October 2026 — this entry's latest reading, not the date you are reading this.

“English for Iranian” (@English_for_Iranians), 1,568 subscribers as measured 12 October 2026. Telegram Register, tgregister.com/channel/English_for_Iranians.

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.