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Channel

😍انگلیسی از صفر تا صد "ماریا"😍

@engmarya_k

On this record: Topic · Observations · Channels linked by matching posts · Growth · Engagement · What this channel posts · Reactions · Posts · Posts recorded as deleted · Citations · Handles named that no longer answer · Telegram's recommendations · Cite this entry

25,147subscribers

-925 since we began measuring on 6 August 2026

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

Register entry

Telegram ID-1001372658336
TypeChannel
Username@engmarya_k
Description❤️مدیریت کانال👇 @MariGrammarfad #پذیریش_تبلیغات برای آموزشگاههای زبان، استاد خصوصی، ترجمه ✍ @MariGrammarfad
CreatedBetween 1 March 2018 and 31 August 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live12 November 2026
Measurements held65
Confirmed unchanged1 time, most recently 12 November 2026
On Telegramt.me/engmarya_k

Topic

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 10 September 2026 and assigned it the closest of 31 fixed categories, at 97% 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 the other topics.

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 in near-verbatim form on 3 other registered channels. This entry also sits inside a group of 5 channels linked by matching posts, directly or through other channels in the group; two members of the group may share no posts with each other. 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
@languagemother/317812 Feb 2026, 05:55 UTC@engmarya_k/11931 · this entry12 Feb 2026, 05:55 UTC1.00under a minute
@engmarya_k/11942 · this entry17 Feb 2026, 09:32 UTC@languagemother/318317 Feb 2026, 09:33 UTC1.00under a minute
@engmarya_k/11947 · this entry20 Feb 2026, 03:09 UTC@languagemother/318520 Feb 2026, 03:32 UTC1.0023 minutes
@languagemother/322424 Sept 2026, 08:08 UTC@engmarya_k/12139 · this entry24 Sept 2026, 08:08 UTC1.00under a minute
@languagemother/32283 Oct 2026, 20:21 UTC@engmarya_k/12144 · this entry3 Oct 2026, 20:23 UTC1.0072 seconds
@engsadeh/1889324 Sept 2026, 08:08 UTC@engmarya_k/12139 · this entry24 Sept 2026, 08:08 UTC1.00under a minute
Channels this entry shares post bodies with, where at least one matching post pair has no forward credit between the two channels, or to a common source, recorded in our data
ChannelMatching postsText overlapTypical gapPublished first
@languagemother7 (7/7 hand-verifiable sample passed)1.00under a minute@languagemother (5–2)
@engsadeh8 (8/8 hand-verifiable sample passed)0.99under a minute@engsadeh (6–2)
@EnglishMarya5 (5/5 hand-verifiable sample passed)1.00under a minutethis entry (4–1)

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. 8 of the 9 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 56 comparable posts for this entry, running 11 February 2026 to 13 November 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).

Of the group of 5 channels, the one whose matching posts we hold earliest is @EnglishMarya. That is a statement about our reading window, not a claim of authorship.

Recorded under the keys clone_copy · clone_source, last confirmed 14 November 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.

Channels linked by matching posts

This channel is in a group of 5 registered channels linked by matching posts, directly or through other channels in the group. This channel may share no posts with some of the channels listed below, and listed channels may share none with each other. Links are found by comparing text fingerprints across every channel on the register.

Which channel, if either, published first is deliberately not shown in this list. “First” could only mean first in our own crawl, which depends on how deep we happened to reach into each channel’s history, not on when the content was actually first posted. Our one hand-check read 45 of the highest-confidence flagged pairs against the live Telegram pages. In 18 of them the live page showed a “Forwarded from” credit that our database had no record of, so reading that pair as an unattributed copy was wrong; the check did not measure who published first. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Near-verbatim 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

25,14726,07225,609.56 August 202612 November 2026
65 measurements spanning 98 days, net -925. 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 25,008–26,211 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 65
Measured (UTC)SubscribersChange
12 Nov 2026, 17:5925,147-26
10 Nov 2026, 13:0925,173-17
8 Nov 2026, 23:1825,190-9
7 Nov 2026, 18:5025,199-16
6 Nov 2026, 18:3725,215-7
5 Nov 2026, 20:3925,222-9
4 Nov 2026, 23:5525,231-12
3 Nov 2026, 21:1025,243-8
3 Nov 2026, 00:1825,251-21
2 Nov 2026, 02:4725,272-6
1 Nov 2026, 04:2025,278-19
31 Oct 2026, 06:3925,297-8
30 Oct 2026, 06:1825,305-15
29 Oct 2026, 08:0525,320-27
28 Oct 2026, 09:0025,347-7
27 Oct 2026, 12:0625,354-7
26 Oct 2026, 10:5525,361-5
25 Oct 2026, 09:0925,366-4
24 Oct 2026, 10:1025,370-13
23 Oct 2026, 10:4825,383first reading

Engagement

57 posts held, back to 11 February 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 154 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
2.03%
avg views ÷ 25,147 subscribers
Avg views / post
512
10 posts measured
Reaction rate
0.736%
reactions ÷ views · ER floor
Posts in window
10
of 57 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 3 of 10 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 13 November 2026
Posts held57 (11 February 2026 – 13 November 2026)
Views total5,115
Reactions total13
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken15 Nov 2026, 10:02 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

Photos
88
Videos
17
Links
84

Lifetime counters from Telegram’s own channel header, read 15 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.

Reaction mix

219 reactions across 29 posts, in 6 distinct kinds. The most used accounts for 77.2% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤16977.2%
👍2411.0%
👏135.94%
🥰62.74%
🔥52.28%
😁20.913%

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 30 of the 57 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 219 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 57 most recent posts we hold, published 11 February 2026 to 13 November 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

Telegram’s own ‘edited’ marker: 0 of 10 posts held from the last 30 days (0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).

13 Nov 2026, 11:38 UTC303 views2 reactionsread 15 November 2026

لغات موضوعی: افعال مربوط به ورزش 🏃 🏃 Run — ران — دویدن 🚶 Walk — واک — پیاده‌روی کردن 🤸 Jump — جامپ — پریدن 🏋️ Lift — لیفت — بلند کردن وزنه 🤾 Throw — ثرو — پرتاب کردن 🤲 Catch — کَچ — گرفتن توپ 🦵 Kick — کیک — شوت زدن 🥊 Punch — پانچ — مشت زدن https://t.me/engmarya_k

🔥2

Signed 𝗘𝗻𝗴𝗹𝗶𝘀𝗵𝗲𝗮𝘀𝘆𝟮𝟬00

12 Nov 2026, 13:43 UTC336 viewsread 15 November 2026
Forwarded from @CAECAMCADPhoto

🚨هدیه آموزشی🚨 ⚡️ليست فیلم وبينارهاى آموزشى رايگان⚡️ 📈فیلم وبینارهای رایگان مدیریت 👉 کلیک کنید ⚙️فیلم وبینارهای رایگان مکانیک 👉 کلیک کنید ⛏فیلم وبینارهای رایگان عمران 👉 کلیک کنید 🧬فیلم وبینارهای رایگان پزشکی 👉 کلیک کنید 🔬فیلم وبینارهای رایگان مواد 👉 کلیک کنید 🧪فیلم وبینارهای رایگان شیمی 👉 کلیک کنید 🛢فیلم وبینارهای رایگان نفت و گاز 👉 کلیک کنید 📊فیلم وبینارهای رایگان صنایع 👉 کلیک کنید 🌐فیلم وبینارهای رایگان کامپیوتر …

Signed 𝗘𝗻𝗴𝗹𝗶𝘀𝗵𝗲𝗮𝘀𝘆𝟮𝟬00

10 Nov 2026, 17:12 UTC395 viewsread 15 November 2026
Forwarded from @hashtagads_viewPhoto

بورسیه‌ی ۲۰۰۰ دلاری دانشگاه هاروارد با مکتب‌خونه 🎉 مکتب‌خونه به مناسبت تولد ۱۵ سالگیش یک قرعه‌کشی ویژه برگزار کرده؛ از بورسیه دوره آموزشی دانشگاه هاروارد به ارزش ۲۰۰۰ دلار گرفته تا اشتراک ChatGPT Plus و مکتب‌خونه داره جایزه میده. 🔥 علاوه بر جوایز قرعه‌کشی، تخفیف‌های ویژه تولد مکتب‌خونه هم فعال شده: ▪️ ۸۰٪ تخفیف اشتراک یک‌ساله ▪️ تا ۷۰٪ تخفیف دوره‌های آموزشی ⏳ مهلت: تا ۲۲ آبان 🔗 برای مشاهده جوایز و شرایط شرکت در…

Signed 𝗘𝗻𝗴𝗹𝗶𝘀𝗵𝗲𝗮𝘀𝘆𝟮𝟬00

9 Nov 2026, 07:16 UTC535 views4 reactionsread 15 November 2026

📒Who are you waiting for? 🖍هو آر یو وِیدین(گ) فُر 🖍منتظرِ کی هستی؟ 📒Who are you talking to? 🖍هو آر یو تاکین(گ) تو 🖍داری با کی حرف می‌زنی؟ 📒Who are you looking for? 🖍هو آر یو لُکین(گ) فُر 🖍دنبالِ کی هستی؟ 📒Who are you going with? 🖍هو آر یو گُ این(گ) ویث 🖍با کی داری می‌ری؟ https://t.me/engmarya_k

👍3🔥1

Signed 𝗘𝗻𝗴𝗹𝗶𝘀𝗵𝗲𝗮𝘀𝘆𝟮𝟬00

4 Nov 2026, 18:10 UTC381 viewsread 8 November 2026

درامد ارز گرام رایگان بصورت ساعتی جمع آوری کن 👇👇👇 https://tonpick.game/?ref=naserqazvin هرگونه. سوال به ایدی زیر پیام دهید @Na700007777y

Signed 𝗘𝗻𝗴𝗹𝗶𝘀𝗵𝗲𝗮𝘀𝘆𝟮𝟬00

4 Nov 2026, 18:09 UTC682 viewsread 15 November 2026
Forwarded from @hashtagads_viewPhoto

📊 دوره آنلاین و جامع #علم_داده (Data Science) 👈 ورود به دنیای Data Science و هوش مصنوعی 🔰 بدون نیاز به سابقه برنامه‌نویسی از مفاهیم پایه تا تحلیل داده و پیاده‌سازی مدل‌های واقعی 🐍 آموزش پایتون (Python) و SQL Server 📊 تحلیل و مصورسازی داده 🤖 یادگیری ماشین (ML) و Deep Learning 📈 پیش‌بینی و تحلیل سری‌های زمانی 🧩 پروژه‌ها و Case Studyهای واقعی 👥 مناسب دانشجویان، تحلیلگران و علاقه‌مندان به ورود یا تغییر مسیر شغلی به …

Signed 𝗘𝗻𝗴𝗹𝗶𝘀𝗵𝗲𝗮𝘀𝘆𝟮𝟬00

2 Nov 2026, 11:18 UTC698 viewsread 15 November 2026

🌱🔻 چگونه به کسی به انگلیسی تبریک بگم؟؟🤔 🔹 Congratulations on کانگِرَجولِیشِنز آن عبارت بالا برای تبریک گفتن در موقعیت های شاد به افراد از این ساختار استفاده می شود. مثال👇👇 🔺Congratulations on your new house! خونه جدیدتون مبارک🎉 🔺Congratulations on winning the election! بردن انتخابات رو بهت تبریک می گم https://t.me/engmarya_k

Signed 𝗘𝗻𝗴𝗹𝗶𝘀𝗵𝗲𝗮𝘀𝘆𝟮𝟬00

2 Nov 2026, 11:09 UTC554 viewsread 15 November 2026
Forwarded from @hashtagads_viewPhoto

↗️ دوره جامع هوش تجاری (Business Intelligence) 📊 تبدیل داده‌های خام به داشبوردهای مدیریتی و بینش‌های کاربردی 👇 آنچه در این دوره آنلاین یاد می‌گیرید: ⏺ طراحی KPI و داشبوردهای مدیریتی ⏺ تبدیل داده‌ها به تصمیم‌های هوشمند کسب‌وکار ⏺ Power BI + SQL Server + Data Warehouse 🎓 گواهینامه معتبر مؤسسه توسعه 👈 مشاوره رایگان + مشاهده جزئیات دوره: ➡️ httb.ir/EBat0 ➖➖➖➖ 👥 مناسب برای: 🟢 مدیران و کارشناسان سازمان‌ها 🟢 دا…

Signed Na حسین پور

29 Oct 2026, 08:29 UTC929 views7 reactionsread 15 November 2026

🛫 مکالمه کامل در فرودگاه (Airport Conversation) 🧑 Agent: Good morning! Where are you flying today? 🇮🇷 صبح بخیر! امروز به کجا پرواز می‌کنید؟ 👩‍💼 Passenger: Good morning! I'm flying to London. 🇮🇷 صبح بخیر! من به لندن پرواز می‌کنم. 🧑 Agent: May I see your passport, please? 🇮🇷 لطفاً گذرنامه‌تان را نشان می‌دهید؟ 👩‍💼 Passenger: Sure. Here you are. 🇮🇷 حتماً، بفرمایید. 🧑 Agent: Do you have a return ticket? 🇮🇷 آیا بلیط ب…

❤4👍3

Signed 𝗘𝗻𝗴𝗹𝗶𝘀𝗵𝗲𝗮𝘀𝘆𝟮𝟬00

29 Oct 2026, 08:24 UTC302 viewsread 4 November 2026
Forwarded from @hashtagads_viewPhoto

📊 دوره آنلاین و جامع #علم_داده (Data Science) 👈 ورود به دنیای Data Science و هوش مصنوعی 🔰 بدون نیاز به سابقه برنامه‌نویسی از مفاهیم پایه تا تحلیل داده و پیاده‌سازی مدل‌های واقعی 🐍 آموزش پایتون (Python) و SQL Server 📊 تحلیل و مصورسازی داده 🤖 یادگیری ماشین (ML) و Deep Learning 📈 پیش‌بینی و تحلیل سری‌های زمانی 🧩 پروژه‌ها و Case Studyهای واقعی 👥 مناسب دانشجویان، تحلیلگران و علاقه‌مندان به ورود یا تغییر مسیر شغلی به …

Signed 𝗘𝗻𝗴𝗹𝗶𝘀𝗵𝗲𝗮𝘀𝘆𝟮𝟬00

14 Oct 2026, 10:53 UTC≈1,470 viewsread 15 November 2026

🔴چند عبارت دوکلمه ای 👇👇 🔷So-so 🔷 نه خوب نه بد,متوسط 🔶 On-Off 🔶 گاهی گاهی 🔷 Wishy-Washy 🔷 آبکی ،سست 🔶Chit-Chat 🔶گپ 🔷Ship-Shape 🔷ترو تمیز https://t.me/engmarya_k ‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌…

Signed 𝗘𝗻𝗴𝗹𝗶𝘀𝗵𝗲𝗮𝘀𝘆𝟮𝟬00

14 Oct 2026, 10:41 UTC769 viewsread 2 November 2026
Forwarded from @hashtagads_viewPhoto

📊 دوره آنلاین و جامع #علم_داده (Data Science) 👈 ورود به دنیای Data Science و هوش مصنوعی 🔰 بدون نیاز به سابقه برنامه‌نویسی از مفاهیم پایه تا تحلیل داده و پیاده‌سازی مدل‌های واقعی 🐍 آموزش پایتون (Python) و SQL Server 📊 تحلیل و مصورسازی داده 🤖 یادگیری ماشین (ML) و Deep Learning 📈 پیش‌بینی و تحلیل سری‌های زمانی 🧩 پروژه‌ها و Case Studyهای واقعی 👥 مناسب دانشجویان، تحلیلگران و علاقه‌مندان به ورود یا تغییر مسیر شغلی به …

Signed 𝗘𝗻𝗴𝗹𝗶𝘀𝗵𝗲𝗮𝘀𝘆𝟮𝟬00

Showing the 12 most recent of 57 posts we hold for @engmarya_k. 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.

Posts recorded as deleted after publishing

We recorded 5 posts on @engmarya_k as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.

A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.

First seen missing
8 August 2026
Most recent seen missing
11 August 2026
Median time before seen missing
27 hours
Seen missing in the last 30 days
0

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

Named by 60 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. The 24 listed below are the most frequent namers; the rest are counted above but not each listed.

Named by

Channels on the register whose posts name this channel's handle.

تبادل روزانه یونیورسال
@tabadolmax20 · 66
19 posts
تبادلات پیشگامان
@pishtab · 1,423
12 posts
ENGLISH GRAMMAR
@grammarfad · 16,971
11 posts
English online
@Eng_Online · 36,334
10 posts
Englishmarya
@EnglishMarya · 14,427
9 posts
English Learning
@grobP1 · 26,846
9 posts
مرکز مشاوره گفتمان
@goftemanclinic · 12,206
8 posts
درمان تخصصی کودکان
@childrentherapy · 12,187
7 posts
Hoonam language academy
@HLAsari · 11,857
7 posts
استخدام روانشناس
@psycho_estekhdam · 17,423
7 posts
تبادلات رشد
@TAB_PSY · 676
7 posts
تبادلات معجزه
@mojezeh1111 · 411
6 posts
روانـشـناســـی +
@Psychology_Gazor · 13,326
6 posts
نادیه زارعی | روانشناس
@psy_nadiehzareei · 15,651
5 posts
رویکردهای درمانی
@Psycho_Approaches · 15,840
5 posts
🧠طرحواره درمانی🧠
@schematherapychannel · 12,664
5 posts
انگلیسی کودکان و نوجوانان
@EnglishKidsEnglish · 8,927
4 posts
قصه صوتی کودک‌ | لیلا طوفانی
@qessekoodak · 5,675
4 posts
نقد سینمای روانشناسی🎭
@Analiyis_cinema_psy · 9,163
3 posts
Araz Turkçe 🇹🇷
@ArazTurkish · 10,583
3 posts
روانشناسی /کودک ونوجوان
@Psycho_Child · 13,290
3 posts
روان یار
@Ravaan_Yaar · 10,358
3 posts
کنکور ارشد و دکتری روانشناسی (آکادمی روان‌تاج 👑)
@RavanTajj · 22,462
3 posts
حسن عالیشاه روانشناس
@roshanapsychology · 8,157
3 posts

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.

Restart English
@English_Mr_Karimi · 59,619
Telegram ranks this channel #20 of 71 here — alongside 70 others — read 22 August 2026
مکالمه زبان انگلیسی \ کامران کروژدهی
@english_kamran · 49,553
Telegram ranks this channel #22 of 70 here — alongside 69 others — read 25 August 2026
Learning english fast
@Englishgrammar606 · 50,336
Telegram ranks this channel #28 of 93 here — alongside 92 others — read 25 August 2026
Grammatical 👨‍🏫👩‍🏫
@usuk1 · 49,746
Telegram ranks this channel #33 of 72 here — alongside 71 others — read 27 August 2026
آموزش زبان انگلیسی روان
@eng_ravan · 53,562
Telegram ranks this channel #61 of 79 here — alongside 78 others — read 24 August 2026
Writing & Grammar 👨‍🏫
@writingandgrammar · 57,824
Telegram ranks this channel #61 of 88 here — alongside 87 others — read 23 August 2026
آموزش مکالمه زبان انگلیسی
@EnglishConversationIsEasys · 59,460
Telegram ranks this channel #64 of 86 here — alongside 85 others — read 21 August 2026
TACTIC English
@PTEnglishtest1 · 50,703
Telegram ranks this channel #66 of 93 here — alongside 92 others — read 25 August 2026
پادکست انگلیسیMP3+PDF
@voa_learning_english · 74,304
Telegram ranks this channel #68 of 86 here — alongside 85 others — read 21 August 2026
آموزش انگلیسی به روش زبان مادری
@hamidrezasotoudeh98 · 74,568
Telegram ranks this channel #74 of 89 here — alongside 88 others — read 20 August 2026

This channel appears in 10 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 12 November 2026 — this entry's latest reading, not the date you are reading this.

“😍انگلیسی از صفر تا صد "ماریا"😍” (@engmarya_k), 25,147 subscribers as measured 12 November 2026. Telegram Register, tgregister.com/channel/engmarya_k.

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.