Telegram RegisterThe public register of Telegram

Channel

ترجمه‌پژوهی

@TranslationStudiesA

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry

4,141subscribers

-3 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001085241890
TypeChannel
Username@TranslationStudiesA
Created7 December 2016measured — cross-checked against a third-party dataset (TGDataset)
First recorded6 August 2026
Last confirmed live12 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 12 August 2026
On Telegramt.me/TranslationStudiesA

Growth

4,1394,1444,141.56 August 2026 — 4,144 subscribers6 August 2026 — 4,144 subscribers9 August 2026 — 4,139 subscribers12 August 2026 — 4,141 subscribers4,1416 August 202612 August 2026
4 measurements spanning 7 days, net -3. 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 4,138–4,145 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
12 Aug 2026, 13:464,141+2
9 Aug 2026, 17:024,139-5
6 Aug 2026, 04:174,144no change
6 Aug 2026, 00:334,144first reading

Engagement

20 posts held, back to 9 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 5 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
21.6%
avg views ÷ 4,141 subscribers
Avg views / post
894
4 posts measured
Reaction rate
0.503%
reactions ÷ views · ER floor
Posts in window
4
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 24 July 2026
Posts held20 (9 June 202624 July 2026)
Views total3,576
Reactions total18
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Aug 2026, 12:16 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
28m 26s
Average length
9m 29s

Measured directly from 3 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

122 reactions across 20 posts, in 10 distinct kinds. The most used accounts for 74.6% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
9174.6%
👏108.20%
👎97.38%
👍32.46%
🙏32.46%
💩21.64%
💯10.82%
🖕10.82%
😁10.82%
🤣10.82%

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 122reactions 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 9 June 2026 to 24 July 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

24 Jul 2026, 14:12 UTC515 views1 reactionsread 8 August 2026
Forwarded from @TarnevisaVideo

🔷 دقایقی از ویدئوی چهار- بهزاد قادری سهی «ترجمه و عاملیت» #ترجمه #عاملیت #تاریخ 🔗 دیدن ویدئوهای بیشتر و دنبال کردن کانال: https://youtube.com/@Tarnevisa ✅@Tarnevisa

1

Signed Hasan Hashemi_Minabad

23 Jul 2026, 16:40 UTC≈1,360 views2 reactionsread 8 August 2026
Photo

سومین دورۀ کارگاه تخصصی فرهنگ‌نویسی مرکز نشر دانشگاهی مدرس: مجید ملکان سرفصل‌های کارگاه فرهنگ‌نویسی ـ پیکرۀ فرهنگ؛ ـ شیوه‌نامه؛ ـ تعریف‌نگاری؛ ـ ویرایش فرهنگ‌نوشتی. روز و ساعت برگزاری کلاس یکشنبه و چهارشنبه از ساعت 16 تا19 (شش جلسه) محل برگزاری تهران،خیابان شهید سیدحسن نصرالله (وزرا)، نبش کوچه دهم، شماره ۵۰، مرکز نشر دانشگاهی مبلغ شهریه شش میلیون تومان (برای دانشجویان ده درصد تخفیف اعمال می‌شود) ثبت نام در وب

2

Signed Hasan Hashemi_Minabad

19 Jul 2026, 14:03 UTC917 views8 reactionsread 8 August 2026
Video

mashreq_media: ویژگی‌های فرهنگی جامعه ایران از دید نویسنده عرب دکتر «خالد عاشور»، مجری و عضو اتحادیه نویسندگان در مورد جامعه ایران گفت: «من متوجه جنبش ترجمه در ایران شدم. من به خاطر تخصصم به کتاب علاقه‌مندم. جنبش ترجمه‌ای در ایران دیدم که نظیرش را در فرهنگ عربی خودمان ندیده‌ام. یعنی ببینید ما چند کشور عربی هستیم اما طوری که ایرانی‌ها ترجمه می‌کنند، ترجمه نمی‌کنیم‌ یک جنبش ترجمه گسترده است، هیچ چیزی نیست مگر اینکه به

6💯1😁1

Signed Hasan Hashemi_Minabad

18 Jul 2026, 18:36 UTC784 views7 reactionsread 8 August 2026
Forwarded from @fardanmagFile

بعد از نزدیک به سه سال ترجمه مقاله خواندنی و مهم رنه ولک در نامه فرهنگستان منتشر شد. رنه ولک، یکی از مهم‌ترین و سرشناس‌ترین منتقدان ادبی قرن بیستم ادبیات مغرب زمین است. او در این مقاله شش نوع تاریخ ادبیات‌نگاری را معرفی و نقد می‌کند. سپس دیدگاه خود را درباره ویژگی ممتاز تاریخ ادبیات‌نگاری مطلوب بیان می‌کند. #رنه_ولک #تاریخ_ادبیات #تاریخ_ ادبیات_نگاری #نامه_فرهنگستان #مرتضی_هاشمی‌پور #فردان https://t.me/fardanmag

7

Signed Hasan Hashemi_Minabad

12 Jul 2026, 16:07 UTC≈1,100 views2 reactionsread 8 August 2026
Forwarded from @neypubPhoto

‌ ‌نشر نی برگزار می‌کند: کارگاه ویرایش محتوایی متون تألیفی مدرس: مجید ملکان زمان: روزهای شنبه و سه‌شنبه (ساعت ۱۶ تا ۱۹) مهلت ثبت‌نام: تا ۲۷ تیرماه شروع کارگاه: ‌۳۰ تیرماه مدت: پنج هفته داوطلبان برای ثبت‌نام رزومه‌ی خود را به آی‌دی تلگرام @nashreney_pr ارسال کنند. در این کارگاه ویرایش متون تألیفی به منظور تولید متنِ منسجم و منطقی آموزش داده می‌شود. اگر به‌دنبال ویرایش زبانی و صوری/ فنی (درست و نادرست در زبان فارسی

2

Signed Hasan Hashemi_Minabad

9 Jul 2026, 05:31 UTC≈1,060 views3 reactionsread 8 August 2026
Forwarded from @dmdehghaniFile

برگزیده‌ای از صحبتهای نشست نمایش و بررسی فیلم مشتزنی در رینگ ترجمه ( ذبیح الله منصوری ) @DrHanifShamim

3

Signed Hasan Hashemi_Minabad

9 Jul 2026, 05:31 UTC977 views3 reactionsread 8 August 2026
Forwarded from @dmdehghaniVideo

فیلم نشست نمایش و بررسی فیلم مشتزنی در رینگ ترجمه ( سفر به زندگی و آثار جنجالی ذبیح الله منصوری ) جمعه ۲۲ خرداد سالن VIP صبا مال پنل نقد و تحلیل فیلم: - هومن پناهنده: زبان‌شناس و مترجم - محمد دهقانی: استاد ادبیات و مترجم - آبتین گلکار: مترجم - آریان عطارپور: تهیه‌کننده مستند - حنیف شهپرراد: مستندساز - حنیف شمیم: برگزار کننده مراسم - دکتر امیرحسین ابراهیم: پژوهشگر فلسفه سیاسی - دکتر نصیری: حقوقدان - بهنام بهزادی: ف

3

Signed Hasan Hashemi_Minabad

8 Jul 2026, 14:40 UTC940 views12 reactionsread 8 August 2026
Forwarded from @Ketabe_BaharPhoto

📕 گفتارهای تجربی و نظری در ترجمه حسن هاشمی میناباد چاپ دوم ۱۳۹۸ ۴۲۴ صفحه قطع وزیری جلد نرم ۴۵۰ هزار تومان تعداد معدود قیمت مناسب @Ketabe_Bahar

10👍1🖕1

Signed Hasan Hashemi_Minabad

7 Jul 2026, 20:31 UTC≈2,510 views12 reactionsread 8 August 2026
File

مایه‌گردانی یا تغییر شیوۀ بیان #ترجمه‌پژوهی #حسن‌هاشمی‌میناباد #مایه‌گردانی #تغییر‌شیوۀ‌بیان #فصلنامۀ‌مترجم

6👏3💩2👍1

Signed Hasan Hashemi_Minabad

3 Jul 2026, 15:17 UTC≈1,260 views10 reactionsread 8 August 2026
Forwarded from @asb_pub

✨ من رؤیایی دارم همیشه دلم می‌خواست نشر خودم را داشته باشم و کتاب‌هایی را منتشر کنم که دوستشان دارم؛ با همان کیفیتی که فکر می‌کنم لایق خواننده‌ها و کتاب‌هاست. سال‌ها با این رؤیا زندگی کردم تا شاید روزی شرایط فراهم شود، اما مگر در این جغرافیای همیشه‌متلاطم روز خوب از راه می‌رسد؟ این شد که در دل سیاه‌ترین روزها که هزار بلا و مصیبت بر سرمان ریخته بود و در ناامیدی دست‌وپا می‌زدم دیدم دیگر جای صبر نیست. با خودم گفتم: «م

8👏2

Signed Hasan Hashemi_Minabad

3 Jul 2026, 10:23 UTC≈1,060 views9 reactionsread 8 August 2026
Forwarded from @SEA_EDUFile

☁️شماره‌ی ششم و هفتم نشریه‌ی علمی-دانشجویی آفاق‌الدوله به صاحب امتیازی انجمن زبان انگلیسی مؤسسه‌ی آ.ع ارشاد دماوند منتشر شد. 🍂سوره‌ی ناس همراه با ترجمه‌ی فارسی و انگلیسی ❄️پژوهشی پیرامون زندگی دکتر زهرا کیا (خانلری) 🍂مصاحبه با خانم دکتر فاطمه پرهام ❄️تاریخچه‌ی ترجمه‌ی قرآن به فارسی 🍂اساطیر یونان و روم ❄️دَه زن نویسنده‌ی تأثیرگذار تاریخ 🍂چگونه زبان به افکار شکل می‌دهد؟ ❄️[نقش] هوش مصنوعی در یادگیری شخصی سازی ش

6👏2🤣1

Signed Hasan Hashemi_Minabad

1 Jul 2026, 11:33 UTC≈4,170 views16 reactionsread 8 August 2026
File

ابتکارات و ظرایف فرهنگ‌نوشتی ابوالحسن نجفی در فرهنگ فارسی عامیانه منبع: گفتارهایی «از» و «دربارۀ» استاد ابوالحسن نجفی، به اهتمام حسین راست‌منش، مرکز نشر دانشگاهی، ۱۴۰۵. #ابوالحسن‌نجفی #فرهنگ‌فارسی‌عامیانه #حسن‌هاشمی‌میناباد

10🙏3👏2👍1

Signed Hasan Hashemi_Minabad

Showing the 12 most recent of 20 posts we hold for @TranslationStudiesA. 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 — 453,708 of 1,183,361entries 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 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 12 August 2026 — this entry's latest reading, not the date you are reading this.

“ترجمه‌پژوهی” (@TranslationStudiesA), 4,141 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/TranslationStudiesA.

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.