3 measurements taken within a single day, net +1. 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 898–899 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
6 Aug 2026, 17:50
899
+1
6 Aug 2026, 14:17
898
no change
5 Aug 2026, 22:01
898
first reading
Engagement
20 posts held, back to 11 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 1 pageof Telegram’s post history, 20 posts per page.
ERR · 30 days
70.8%
avg views ÷ 899 subscribers
Avg views / post
637
17 posts measured
Reaction rate
1.44%
reactions ÷ views · ER floor
Posts in window
17
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
Window
Rolling 30 days · latest post in window 5 August 2026
Posts held
20 (11 July 2026 – 5 August 2026)
Views total
10,824
Reactions total
156
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
6 Aug 2026, 14:17 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
187 reactions across 20 posts, in 5 distinct kinds. The most used accounts for 91.4% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
171
91.4%
🔥
9
4.81%
👍
4
2.14%
🙏
2
1.07%
🤓
1
0.535%
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 187reactions 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 11 July 2026 to 5 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.
✍️«بخشی از اطلس دنیای من | قمربانو» (5)
حالا این کارزار و جنگ سرد زبانی میان پدرم و قمربانو چه شکلی بود؟ او در خانهی ما خاموش بود و قرارگاهش کارگاه رنگرزیاش بود؛ جایی که تا شش/هفتسالگی همدمش بودم. پیش او که بودم، کارگاهش کلاس رقص و شعر و ترانه میشد. قمربانو مدام ترانهی محلی میخواند، قصه میگفت و همانطور که پاتیلی را هم میزد، رنگ درون آن را نیز آهنگین برایم تشریح میکرد. این واکنشی بود به چیرگی زبان پدر در خ…
✍️«بخشی از اطلس دنیای من | قمربانو» (4)
قمربانو اعجوبهی هزارچهرهای بود که بعدها نمونهاش را در چهرهی مادربزرگ در «ساعت گرگ و ميش» محمدرضا پورجعفری و دیلسی، پیشخدمت خانوادهی کامپسون در «خشم و هیاهو»ی فاکنر دیدم. او کارگاه رنگرزی بازمانده از شوهرش را میچرخاند. پاتیلهای رنگ و ریسهای رنگارنگی که او از آن دیگهای جوشان درمیآورد و جلوی کارگاهش آویزان میکرد که خشک شوند، خیال را از رنگینکمان آسمان تا نقش و نگار گل…
✍️«بخشی از اطلس دنیای من | قطعهای دیگر» (3)
● این از تصویری که از آن روزها در ذهنم مانده است. اما مفهومی که در این تئاتر زندگی در ذهنم شکل گرفت، با من ماند و بخشی از پژوهشگریام شد، «زبان» و قدرت بود. پدرم تمام عمرش به لهجهی تهرانی، البته با ته رنگی از لهجهی اصفهانی، وفادار ماند. در این هفت خوانی که او از سر گذراند، هرگز به لهجه یا واژههای سیستانی، کرمانی و بجنوردی اجازهی ورود به حوزهی واژگانی و معنایی کنشگری…
🔵تجربهای از ترجمه «آن شب که تورو زندانی بود»، برشی از ویدئوی نُه، «تاریخیت، سنت و نقش مترجم»ـ بهزاد قادری سهی
تماشای نسخه کامل ویدئو از لینک زیر 👇
https://youtu.be/t0NDNGjeb98?si=bSi6tQIerWoEpbYT
#تاریخ
#ایران
#ترجمه
#جامعه_شناسی_ترجمه
#بهزاد_قادری
#ترنویسا
✅@Tarnevisa
اینستاگرام👇
https://www.instagram.com/tarnevisa
✍️مینوی؛ عامل/میانجی معرفی نمایشنامه «پرگنت» ایبسن به ایرانیان
مجتبی مینوی (1281-1355) نخستین پژوهشگری بود که هفتاد سال پیش، اندکی پس از کودتای 28 مرداد 1332 نمایشنامهٔ «پرگنت» ایبسن را در مجله سخن (1333) به خوانندگان ایرانی معرفی کرد. بازخوانی اجمالی آن نوشته فرصتی است برای مشاهدهٔ یکی از نخستین لحظههای ورود ایبسن به میدان ادبی ایران و تأمل در اینکه چگونه مترجمان، منتقدان و عاملان فرهنگی در شکلگیری تاریخ دریافت ی…
🔷مطالعات نشانهشناختی ایبسن
برشی از ویدئوی هشتم «ترجمه، تجربه، آموزش: زیست جهان مترجم در کلاس ترجمه » ـ بهزاد قادری سهی
نسخه کامل این ویدئو 👇
یوتیوب:
https://youtu.be/pUB5w-aUdTw?si=F4J2snURvg1HOk9m
#تئاتر
#ایبسن
#بهزاد_قادری
#ترنویسا
@Tarnevisa
❤10
Showing the 12 most recent of 20 posts we hold for @Tarnevisa. 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 — 154,430 of 1,151,006entries 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 6 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 6 August 2026 — this
entry's latest reading, not the date you are reading this.
“ترنویسا” (@Tarnevisa), 899 subscribers as measured 6 August 2026. Telegram Register, tgregister.com/channel/Tarnevisa.
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.