Telegram RegisterThe public register of Telegram

Channel

زبان‌ورزی

@zabanvarzi

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

1,965subscribers

+8 since we began measuring on 6 August 2026

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

Register entry

Telegram ID-1001372816283
TypeChannel
Username@zabanvarzi
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 live14 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 14 August 2026
On Telegramt.me/zabanvarzi

Growth

1,9571,9651,9616 August 2026 — 1,957 subscribers6 August 2026 — 1,957 subscribers10 August 2026 — 1,960 subscribers14 August 2026 — 1,965 subscribers6 August 202614 August 2026
4 measurements spanning 8 days, net +8. 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 1,956–1,966 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
14 Aug 2026, 02:351,965+5
10 Aug 2026, 11:521,960+3
6 Aug 2026, 06:331,957no change
6 Aug 2026, 04:181,957first reading

Engagement

20 posts held, back to 14 June 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 2 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
23.0%
avg views ÷ 1,965 subscribers
Avg views / post
452
7 posts measured
Reaction rate
0.79%
reactions ÷ views · ER floor
Posts in window
7
of 20 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.

What these figures were computed from
WindowRolling 30 days · latest post in window 7 August 2026
Posts held20 (14 June 20267 August 2026)
Views total3,165
Reactions total25
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 17:11 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.

What this channel posts

Video runtime
4h 04m
Average length
40m 46s

Measured directly from 6 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

96 reactions across 19 posts, in 4 distinct kinds. The most used accounts for 52.1% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
5052.1%
👍3839.6%
👎77.29%
😢11.04%

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 20 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 108reactions 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 14 June 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, 16:21 UTC133 views6 reactionsread 7 August 2026
Photo

🍁 آیا ترامپ «کابینه‎اش را زیر اتوبوس خواهد انداخت»؟ عبارت «کسی را زیر اتوبوس انداختن» ترجمۀ تحت‎اللفظی از اصطلاح زیر است، که معنای آن را از فرهنگ‎های کمبریج و مریام ــ وبستر آورده‎ام. در فارسی، در برابر این اصطلاح «کسی را فدای خود کردن»، «کسی را قربانی کردن»، «زیر پای کسی را خالی کردن» و نظیر آن به‎کار می‎رود. throw sb under the bus (idiom): Cambridge Dictionary: to do sth harmful to sb else in order to gain an ad

4👍1😢1

4 Aug 2026, 07:58 UTC191 views2 reactionsread 7 August 2026

🍁 Why is eyewitness testimony not always reliable? ✍🏻 Julia Wood & Ann Schweitzer: Ronnie Bullock was serving a sixty-year sentence for kidnapping and raping a woman when DNA tests revealed that he could not have committed the crime. Like a number of other prisoners, Bullock was convicted largely on the basis of eyewitness testimony. “That’s the man; I’ll never forget his face” tends to be highly convincing to juro

2

27 Jul 2026, 19:17 UTC621 views8 reactionsread 7 August 2026
Video

🍁 شب ابوالحسن نجفی 06:23 علی دهباشی 07:45 علی‌رضا انوشیروانی (ضبط‎شده) 25:31 نصرالله پورجوادی 48:56 حسین معصومی همدانی 01:12:53 سخنرانی زنده‎یاد ابوالحسن نجفی در شب نصرالله پورجوادی (۱۳۹۳) 01:29:44 پیام ارسالی علی صلح‎جو 01:51:33 مروری بر کتاب‎های ابوالحسن نجفی 01:54:57 امید طبیب‎زاده 🎥 از: کانال مجله بخارا (مرداد ۱۴۰۵)

4👍3👎1

24 Jul 2026, 03:29 UTC488 views3 reactionsread 7 August 2026
Photo

🍁 شب ابوالحسن نجفی نهصدوشصت‎ویکمین شب از شب‌های بخارا به یادبود ابوالحسن نجفی اختصاص یافته است. این نشست با سخنرانی نصرالله پورجوادی، حسین معصومی همدانی، علی صلح‌جو، مجید ملکان، امید طبیب‌زاده، علی‌رضا انوشیروانی و علی دهباشی برگزار می‌شود. ابوالحسن نجفی (۱۳۰۶ ــ ۱۳۹۴)، فرهنگ‌نویس، مترجم، ویراستار، عروض‌دان و عضو پیوستهٔ فرهنگستان زبان و ادب فارسی، در سال ۱۳۰۶ در نجف اشرف چشم به دنیا گشود و در سال ۱۳۹۴ در تهران از

3

23 Jul 2026, 03:31 UTC728 views1 reactionsread 7 August 2026
Video

به مناسبت انتشار کتاب «گنج‌واژهٔ فارسی» (۱۴۰۵) تألیف بهروز صفرزاده، که از سوی نشر کتاب سده منتشر شده است، شصت‎وچهارمین نشست از سلسله نشست‌های عصر سه‌شنبه‌های بخارا به نقد و بررسیِ این کتاب اختصاص یافته است. 00:05 علی دهباشی 02:57 بهروز صفرزاده 17:41 هومن عباس‎پور 26:53 سعید لیان 47:33 بهروز صفرزاده 🎥 از: کانال مجلۀ بخارا (تیرماه ۱۴۰۵) #️⃣ #نشست #کتاب #فرهنگ

1

22 Jul 2026, 03:30 UTC600 views3 reactionsread 7 August 2026

🍁 Labels Shape Perceptions ✍🏻 Julia Wood & Ann Schweitzer: When we label someone, we focus attention on particular aspects of a person and that person’s activities, and we necessarily obscure other aspects of who that person is. We might define a person as an environmentalist, a teacher, a gourmet cook, or a father. Each definition directs our attention to certain aspects of the person. We might talk with the envi

3

17 Jul 2026, 12:13 UTC404 views2 reactionsread 7 August 2026

🍁 The effectiveness of persuasive communications ✍🏻 Elliot Aronson et al: The effectiveness of persuasive communications depends on who says what to whom. Who: The Source of the Communication •Credible speakers (e.g., those with obvious expertise) persuade people more than speakers lacking in credibility (Hovland & Weiss, 1951; Schwarz, Newman, & Leach, 2016). • Attractive speakers (whether due to physical or per

👍2

13 Jul 2026, 19:14 UTC634 views3 reactionsread 7 August 2026

🍁 واژه‌زدگی یا عملگرایی؟ ✍🏻 حسین انتظامی: بعضی‌ها فکر می‌کنند اگر اسم جدید یا قلمبه‎سلمبه استفاده کنند کار هم تغییر می‌کند. چند سالی است تب «اقتصاد خلاق و صنایع فرهنگی» به جان مدیران نوگرای فرهنگی افتاده و اصرار به استفاده از این عبارت دارند (مدیران سنتی که البته راحت‌تر از این حرف‌ها هستند!) مشکل از کجا به‎وجود می‌آید؟ یک نفر در یک مقالۀ انگلیسی، واژه یا عبارتی جدید می‌بیند. سپس بر اساس «فیل‌شناسی در تاریکی» همان

3

10 Jul 2026, 15:45 UTC572 views9 reactionsread 7 August 2026
Photo

🍁 دروغ تا کی؟ یاوه تا چند؟ آیا هر واژۀ فرهنگستان ۶۴ میلیون تومان آب خورده است؟ ✍🏻 عباس سلیمی آنگیل ویدیویی در رسانه‌های همگانی دست‌به‌دست می‌شود که در آن دو کارشناس (بر من روشن نشد که در چه کاری شناسا هستند) گفت‌وگو می‌کنند و یکی‌شان می‌گوید: «هر واژۀ فرهنگستان ۶۴ میلیون تومان آب خورده است!» از فرهنگستان زبان و ادب فارسی خرده‌ها می‌توان گرفت، اما آنچه این کارشناس‌واره می‌گویند آشکارا نادرست است و جز یاوه نامی ندار

👍4👎32

10 Jul 2026, 15:17 UTC666 views3 reactionsread 7 August 2026

🍁 Dehumanizing The Enemy: Justifying Cruelty ✍🏻 Elliot Aronson et al: A sad, though universal, phenomenon is that all cultures are inclined to dehumanize their enemies by calling them cruel names and regarding them as “vermin,” “animals,” “brutes,” and other nonhuman creatures. During World War II, Americans referred to the German people as “krauts” and portrayed them as brutes; they called the Japanese people “Jap

3

6 Jul 2026, 08:10 UTC590 views3 reactionsread 7 August 2026
Photo

🍁 وندافزایی به ستاک فعل در زبان فارسی: رویکردی شناختی (۱۴۰۵) ✍🏻 پارسا بامشادی: وندافزایی یکی از فرآیندهای اصلی و پرکاربرد واژه‌سازی در زبان فارسی است. کتابِ پیش روی شما دربردارندۀ ایده و انگاره‌ای نو برای معناکاویِ فرآیند وندافزایی در زبان فارسی و به‌طور مشخص، وندافزایی به ستاک فعل است که می‌کوشد با ایجاد پیوند میان سه نظریۀ شناختی نامدار شامل دستور شناختی، معناشناسیِ قاب و ساختواژۀ ساخت، چارچوب تحلیلی ژرف‌نگر و تب

3

4 Jul 2026, 03:32 UTC480 views3 reactionsread 7 August 2026
Video

🍁 Why do we, like, hesitate when we, um, speak? For as long as we've had language, some people have tried to control it. And some of the most frequent targets of this communication regulation are the ums, ers, and likes that pepper our conversations. These linguistic fillers occur roughly 2 to 3 times per minute in natural speech. So are ums and uhs just a habit we can't break? Or is there more to them? Lorenzo Garc

2👍1

Showing the 12 most recent of 20 posts we hold for @zabanvarzi. 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 — 179,794 of 1,478,351entries 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

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 4 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.

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

“زبان‌ورزی” (@zabanvarzi), 1,965 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/zabanvarzi.

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.