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 20 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.
Growth
8 measurements spanning 18 days, net +39. 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 7,106–7,157 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
24 Aug 2026, 05:47
7,151
+15
20 Aug 2026, 03:16
7,136
+7
16 Aug 2026, 16:48
7,129
+12
13 Aug 2026, 01:35
7,117
+1
10 Aug 2026, 09:01
7,116
+3
7 Aug 2026, 00:01
7,113
+1
6 Aug 2026, 03:16
7,112
no change
5 Aug 2026, 23:10
7,112
first reading
Engagement
48 posts held, back to 23 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 14 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
9.35%
avg views ÷ 7,151 subscribers
Avg views / post
668
41 posts measured
Reaction rate
0.6%
reactions ÷ views · ER floor
Posts in window
43
of 48 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 31 of 41 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 19 August 2026
Posts held
48 (23 July 2026 – 19 August 2026)
Views total
27,408
Reactions total
122
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
20 Aug 2026, 15:15 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
1h 19m
Average length
19m 58s
Measured directly from 4 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
132 reactions across 32 posts, in 3 distinct kinds. The most used accounts for 65.2% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
86
65.2%
👍
38
28.8%
👏
8
6.06%
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 35 of the 48 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 145reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 48 most recent posts we hold, published 23 July 2026 to 19 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.
#EPT #MSRT #UTEPT #وزارت_بهداشت #MHLE
🔮 30 دقیقه آموزش نکات مربوط به مبحث #زمانها در کلاس آموزش ویدیویی استاد
#مهرداد_زنگيهوندی
(مؤلف پرفروشترین منابع زبان ارشد و دکتری در ایران با استناد به آمار سایت #خانه_کتاب)
🗓 برای ثبتنام روی لینک زیر کلیک نمایید:
https://fastzaban.com/200/
🧨 آموزش کامل نکات گرامر و درک مطلب با تدریس #نامبر_وان استاد #مهرداد_زنگيهوندی
💻 در 18 ساعت (بصورت یکبار دانلود و قابل استفاده در #…
📢📢 نتایج نهایی آزمون دکتری تخصصی سال ۱۴۰۵ اعلام شد.
به گزارش ایرنا از سازمان سنجش آموزش کشور، رضا محمدی گفت: نتایج نهایی آزمون ورودی مقطع دکتری «.Ph.D» نیمهمتمرکز سال ۱۴۰۵ پس از طی مراحل آزمون کتبی، انتخاب رشته و ارزیابی تخصصی در دانشگاهها و مؤسسات آموزش عالی شامل مصاحبه و بررسی سوابق علمی و پژوهشی، از طریق درگاه اطلاعرسانی سازمان سنجش آموزش کشور اعلام شده است.
رئیس سازمان سنجش آموزش کشور دربارۀ زمان ثبتنام پذی…
💥ثبتنام آزمون (EPT) شهریور از دوشنبه 26 مرداد آغاز شده و تا روز شنبه 31 مردادماه ادامه دارد.
این آزمون بصورت الکترونیکی در 5 و 6 شهریور برگزار خواهد شد.
کلیه دانشجویان دکتری تخصصی دانشگاه آزاد اسلامی میتوانند در صورت تمایل با مراجعه به سامانه مرکز سنجش، پذیرش و فارغالتحصیلی به نشانی
https://ept.english.iau.ac.ir
نسبت به ثبتنام اقدام نمایند.
📚 برای سفارش پستی پرفروشترین منابع آزمون زبان EPT با ارسال #رایگا…
✨ ممنون از نظر لطف خانم دکتر افسانه شیخی که خودشون ترجمۀ کتاب «شخصیسازی تمرین با تکنولوژی پوشیدنیهای ورزشی در ورزشکاران» را به چاپ رسوندن.
با تشکر از اعتماد شما به تیم فست زبان 💐
💥 ایشان همۀ کتابهای منبع آزمون EPT رو بههمراه دورههای آفلاین گرامر و درک مطلب + دورۀ وکب پرو رو امروز سفارش دادند.
💥 فایل pdf نمونه کتاب Listening Pro «آموزش مهارتهای شنیداری آزمونهای زبان»
⚡️ ببینید و #عشق_کنید کیفیت رو
💥 لینک توضیحات بیشتر و سفارش کتاب با #تخفیف_ویژه 500 هزار تومانی:
https://fastzaban.com/listening-pro/
💥 ادمین پشتیبانی:
🆔@FastZabanAdmin
📢💥مژده مژده
کتاب #شنیداری Listening Pro استاد #مهرداد_زنگيهوندی رسید.
💥 شامل:
- آموزش نکات #تستزنی در بخش شنیداری آزمونهای زبان دکتری بصورت درسنامۀ جامع و دقیق
- نمونهسؤالات شنیداری از آزمونهای زبان دکتری بههمراه متن کامل فایلها و ترجمۀ متنها و گزینهها با پاسخ #تشریحی
- نکات آموزشی کتابهای تافل لانگمن + نکات تکمیلی و کاربردی بیشتر
- آموزش انواع سؤالات و تکنیکهای پاسخدهی سریعتر به تستها با مثالها…
📢 شروع ثبتنام آزمون دکتری وزارت بهداشت ۱۴۰۵
💥 ثبتنام کنکور دکتری وزارت بهداشت ۱۴۰۵ از طریق سایت مرکز سنجش آموزش پزشکی آغاز شد.
#دکتری_بهداشت
💥 آزمون دکتری تخصصی رشتههای علوم پایه پزشکی، بهداشت و تخصصی، داروسازی و دندانپزشکی ۷ آبان ۱۴۰۵ برگزار خواهد شد.
📚 برای سفارش پستی بسته زبان عمومی دکتری بهداشت با ارسال پستی رایگان روی لینک زیر کلیک نمایید:
https://bookshop.fastzaban.com/product/behdasht-phd/
💥 فایل آموزش ویدئویی درسهای 21 تا 24 (بخش دوم دورۀ آموزش لغت Vocab Pro) به دورۀ آفلاین آموزش #لغت اضافه شد.
💥 برای توضیحات بیشتر و ثبتنام در این دوره روی لینک زیر کلیک نمایید:
https://bookshop.fastzaban.com/product/vocab-pro-2/
🆔 ادمین پشتیبانی:
@FastZabanAdmin
😍💥 برای استفاده از آموزش #رایگان #لغات کتاب 504 واژه بصورت #تصویری روی لینک زیر کلیک نمایید:
https://fastzaban.com/504-vocabulary-education/
💎 آدرس کانال فست زبان در «بله» و «تلگرام»
🆔 https://ble.ir/FastZaban
🆔 t.me/FastZaban
👍5
Signed FastZaban.com
Showing the 12 most recent of 48 posts we hold for @FastZaban. 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 edited after publishing
@FastZaban edited 2 posts after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
First edit seen
8 August 2026
Most recent edit
12 August 2026
Citation-graph rank
Citation-graph rank — 823,909 of 1,602,822entries 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.
Mentions
Named by 2 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.
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 24 August 2026 — this
entry's latest reading, not the date you are reading this.
“FastZaban.com 📚” (@FastZaban), 7,151 subscribers as measured 24 August 2026. Telegram Register, tgregister.com/channel/FastZaban.
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.