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Channel

مجموعه موسسات زنگنه

@ZTC_prep

On this record: Previous handles · Growth · Engagement · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry

2,991subscribers

-36 since we began measuring on 5 August 2026

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

Register entry

Telegram ID-1001000746969
TypeChannel
Username@ZTC_prep
Created7 October 2015measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live23 August 2026
Measurements held7
Confirmed unchanged1 time, most recently 23 August 2026
On Telegramt.me/ZTC_prep

Previous handles

Recorded in 2019 as “ZTC English House — the title held for this same channel (matched by Telegram id, not by handle) in the Pushshift Telegram Dataset, a third-party archive captured in 2019-2020, years before this register made its own first observation. CC BY 4.0, Baumgartner, Zannettou, Squire & Blackburn (2020), Zenodo. A third party’s dated snapshot, not a measurement this register made itself.

Growth

2,9913,0273,0095 August 2026 — 3,027 subscribers6 August 2026 — 3,027 subscribers9 August 2026 — 3,022 subscribers12 August 2026 — 3,016 subscribers16 August 2026 — 3,009 subscribers19 August 2026 — 3,001 subscribers23 August 2026 — 2,991 subscribers5 August 202623 August 2026
7 measurements spanning 17 days, net -36. 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 2,986–3,032 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
23 Aug 2026, 00:132,991-10
19 Aug 2026, 04:153,001-8
16 Aug 2026, 03:473,009-7
12 Aug 2026, 19:443,016-6
9 Aug 2026, 13:013,022-5
6 Aug 2026, 05:013,027no change
5 Aug 2026, 22:123,027first reading

Engagement

21 posts held, back to 20 December 2025the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 3 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
8.54%
avg views ÷ 2,991 subscribers
Avg views / post
255
5 posts measured
Reaction rate
1.75%
reactions ÷ views · ER floor
Posts in window
5
of 21 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 2 of 5 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 6 August 2026
Posts held21 (20 December 20256 August 2026)
Views total1,277
Reactions total7
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Aug 2026, 00:11 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.

Reaction mix

47 reactions across 9 posts, in 8 distinct kinds. The most used accounts for 29.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👎1429.8%
1225.5%
👍817.0%
🔥48.51%
😁48.51%
🤯36.38%
👏12.13%
😱12.13%

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 11 of the 21 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 61reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 21 most recent posts we hold, published 20 December 2025 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.

Recent posts

6 Aug 2026, 08:05 UTC119 views3 reactionsread 8 August 2026
Photo

کلمات ترکیبی رایج و روزمره با فعل Get مشاوره تلفنی : 📞02145328 @ztc_prep

3

Signed Shakiba

5 Aug 2026, 10:07 UTC187 viewsread 8 August 2026
Photo

*دوره Free Discussion* به خاطر استقبال بی نظیر شما دوره ای مجزا باز شد. 😃✌🏻 🔸️جمعی از اساتید برتر 🔹️۱۲ جلسه آنلاین اطلاعات بیشتر: 📞 02145328 🆔️ @ztcinfo2

Signed Afshin Sadeghipanah

2 Aug 2026, 15:20 UTC282 views4 reactionsread 8 August 2026

چطوری طبیعی و روان صحبت کنیم؟ درست مثل یک انگلیسی زبان😍 وقتی میخوای بگی: «حوصله ندارم» بیشتر زبان‌آموزها می‌گن: ❌ I don’t have mood. اما در مکالمات روزمره انگلیسی معمولاً می‌گن: ✅ I’m not in the mood Example: I’m not in the mood to go out tonight. 🟰 امشب حوصله بیرون رفتن ندارم. ⸻ وقتی می‌خوای بگی: «منم!» بعضی زبان‌آموزها برای همه موقعیت‌ها می‌گن: ❌ Me too. اما در مکالمات روزمره انگلیسی اگر جمله منفی باشد،

👍31

Signed Shakiba

28 Jul 2026, 11:30 UTC357 viewsread 8 August 2026

❌ Textbook English ✅ Real-Life English Phrasal Verbs You’ll Actually Hear Every Day کلمات عبارتی رایج: 1. run into 🔹 Meaning: meet unexpectedly 🔹 فارسی: اتفاقی کسی را دیدن Example: I ran into my teacher at the mall. اتفاقی معلمم را در مرکز خرید دیدم. ⸻ 2. figure out 🔹 Meaning: understand / solve 🔹 فارسی: فهمیدن، حل کردن Example: I finally figured out the answer. بالاخره جواب را فهمیدم. ⸻ 3. catch up 🔹 Meanin

Signed Shakiba

27 Jul 2026, 22:00 UTC332 viewsread 8 August 2026
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شروع ترم مرداد ماه زنگنه✋🏻✌🏻 زنگ بزن تا عقب نیفتادی 👇🏼 📞02145328 https://t.me/ZTC_prep

Signed Afshin Sadeghipanah

26 Jul 2026, 15:00 UTC341 viewsread 8 August 2026
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اصطلاحات رایج و روزمره مشاوره تلفنی : 📞02145328 @ZTC_prep

Signed Shakiba

26 Jul 2026, 09:03 UTC471 viewsread 8 August 2026
Photo

❌️بزرگترین اشتباه یادگیری زبان! ❌️ مارو در اینستاگرام دنبال کنید. https://www.instagram.com/reel/DbDxqmoN6J1/?igsh=MTJ1c3NubXN0bmUycQ== مشاوره : 📞 02145328 🆔️ https://t.me/ZTC_prep

Signed Afshin Sadeghipanah

23 Jul 2026, 12:17 UTC387 viewsread 8 August 2026
Photo

دونستن Phrasal verbs یا همون فعل های عبارتی دقیقا همون چیزیه که برای طبیعی و روان صحبت کردن بهش احتیاج دارید 😍 مشاوره تلفنی : 📞02145328 @ZTC_prep

Signed Shakiba

21 Jul 2026, 09:44 UTC426 views3 reactionsread 8 August 2026

🔹*3 Useful English Collocations*🔹 *۳ تا ترکیب کلمه ای پرکاربرد* ✅ Make progress پیشرفت کردن To move forward or improve ✅ Catch attention جلب توجه کردن To make people notice something ✅ Take responsibility مسئولیت پذیرفتن To accept duty for something 💬 Examples: 🔸 She is making great progress in English. (او در انگلیسی پیشرفت زیادی می‌کند.) 🔸 The colorful poster caught everyone’s attention. (پوستر رنگارنگ

👍3

Signed Shakiba

20 Jul 2026, 10:56 UTC451 views3 reactionsread 8 August 2026
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چرا American English File؟ 📚 چرا American File یکی از محبوب‌ترین کتاب‌های آموزش زبان است؟ ✨ آموزش زبان با موضوعات واقعی و کاربردی 🗣️ تمرکز ویژه بر تقویت مهارت Speaking 🎧 فایل‌های صوتی و ویدئوهای باکیفیت برای تقویت Listening 📖 آموزش گرامر و واژگان در قالب مکالمه، نه حفظ کردن درباره این کتاب و دوره های ما 👇🏼 https://www.instagram.com/p/Da--r6Djdep/?igsh=MTN4eWJweGVvcnFyZg== 🆔️ https://t.me/ZTC_prep

🔥3

Signed Afshin Sadeghipanah

19 Jul 2026, 15:18 UTC425 viewsread 8 August 2026
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*این اصطلاحات قطعا به کارت میاد* 👆🏻 مشاوره تلفنی : 📞02145328 ارتباط از طریق بله : 🆔️ @zangeneh_zabanamoozan @ztcprep

Signed Shakiba

15 Jul 2026, 13:38 UTC565 viewsread 8 August 2026
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▫️مسیر مهاجرت▫️ میدونی میتونی تو مجموعه ماوهم زبان بخون هم پروسه مهاجرتتو شروع کنی ؟ ما کنارتیم 👇🏼 https://www.instagram.com/reel/DavY_yJoS4N/?igsh=MTBvNHhnMWVkYzc0Ng== https://t.me/ZTC_prep

Signed Afshin Sadeghipanah

Showing the 12 most recent of 21 posts we hold for @ZTC_prep. 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

Citation-graph rank — 372,914 of 1,602,868entries 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.

Forward network

Republished by

Channels on the register that have forwarded this channel's posts into their own feed.

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 1 registered channel — 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.

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 23 August 2026 — this entry's latest reading, not the date you are reading this.

“مجموعه موسسات زنگنه” (@ZTC_prep), 2,991 subscribers as measured 23 August 2026. Telegram Register, tgregister.com/channel/ZTC_prep.

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.