Channel
@benevis_s
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Citations · Cite this entry
2subscribers
-14,908 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1001293958477 |
|---|---|
| Type | Channel |
| Username | @benevis_s |
| Created | 16 February 2019 — measured — cross-checked against a third-party dataset (ext.tg_channel) |
| First recorded | 6 August 2026 |
| Last confirmed live | 9 August 2026 |
| Measurements held | 5 |
| Confirmed unchanged | 1 time, most recently 9 August 2026 |
| On Telegram | t.me/benevis_s |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 9 Aug 2026, 16:03 | 2 | -14,965 |
| 8 Aug 2026, 13:18 | 14,967 | +62 |
| 7 Aug 2026, 15:10 | 14,905 | +2 |
| 6 Aug 2026, 14:30 | 14,903 | -7 |
| 6 Aug 2026, 03:04 | 14,910 | first reading |
43 posts held, back to 2 August 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 11 pagesof Telegram’s post history, 20 posts per page.
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 41 of 43 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 9 August 2026 |
|---|---|
| Posts held | 43 (2 August 2026 – 9 August 2026) |
| Views total | 42,376 |
| Reactions total | 1,356 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 9 Aug 2026, 09:52 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.
Measured directly from 1 video 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.
1,192 reactions across 32 posts, in 14 distinct kinds. The most used accounts for 26.8% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 319 | 26.8% | |
| ❤ | 269 | 22.6% | |
| 😁 | 176 | 14.8% | |
| 😭 | 145 | 12.2% | |
| 🍓 | 66 | 5.54% | |
| 🔥 | 63 | 5.29% | |
| 🕊 | 46 | 3.86% | |
| 🥰 | 38 | 3.19% | |
| 💔 | 25 | 2.10% | |
| 👏 | 20 | 1.68% | |
| 🌚 | 12 | 1.01% | |
| 👎 | 6 | 0.503% | |
| 🐳 | 5 | 0.419% | |
| 🗿 | 2 | 0.168% |
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 41 of the 43 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 1,356reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 43 most recent posts we hold, published 2 August 2026 to 9 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.
#کتاب 📚 🌀 نام: در بسته (دوزخ) 🌀 نویسنده: ژان پل سارتر این اثر را معمولاً یکی از مهمترین نمایشنامههای اگزیستانسیالیستی قرن بیستم میدانند؛ اثری که در ظاهر داستانی بسیار ساده و حتی کلیشه دارد، اما در لایههای زیرین خود به پرسشهایی عمیق درباره آزادی، هویت، مسئولیت و رابطه انسان با دیگران میپردازد. داستان با ورود ژوزف گارسن به اتاق دوزخ آغاز میشود. کمی بعد اینه سرانو و استله ریگو نیز به او ملحق میشوند. هر سه نفر …
•[✍]• ۵ نشونهی نویسندگی غیرحرفهای •[5⃣]• دیالوگ و توصیفهای بیش از حد 🖇گاهی کمتر یعنی بیشتر. اگر دیالوگها زیادی کش پیدا کنن یا توصیفها بیش از حد طولانی و پرجزئیات بشن، خواننده کمکم از روی متن رد میشه. اول دقیق بدون میخوای چی بگی. از دیالوگها کلمات اضافی و جملههای بیفایده رو حذف کن. هر جمله باید دلیلی برای وجود داشتن داشته باشه. برای توصیفها، فقط روی جزئیاتی تمرکز کن که برای اون صحنه واقعاً مهم هستن. به کل…
👍18🍓3❤1
بعضی نویسندهها هم برمیگردن میگن «ویژگی بد من اینه که شخصیتهام رو شکنجه میکنم😔» نخیر ویژگی بدت اینه که نمینویسی! برو بنویس! #توییت📝 ✏️ @benevis_s
😭66👍11🌚4😁3❤1🍓1
حالا نوبت تخفیف و پارتیبازیه☝️ ● واسه ۵ نفر اول: ۳۰ درصد تخفیف ● واسه همهی اعضای اینجا: ۱۰ درصد تخفیف به @BookClubAd پیام بدین💘
این همخوانی کار مشترک من و شادی (صاحب اون کانال) هست و براش خیلی زحمت کشیدیم و آماده شدیم و منتظرتونیم. قصدمون این بود که هم زبان یاد بگیریم، هم تحلیل ادبیات رو، هم خوش بگذره^^💕
❤11👏1
📚کارگاه داستان کوتاه انگلیسی 📚چهار هفته، چهار داستان 📄در این کارگاه با روشی خلاقانه زبان یاد میگیریم! داستان میخونیم و با بررسی واژگان و گفتوگوی آزاد، زبانمون رو تقویت میکنیم. 🍎پنجشنبهها | ساعت ۱۶ ☘️ظرفیت کارگاه: ۱۵ نفر شروع دوره: پنجشنبه، بیست و نهم مرداد ماه - هزینه شرکت در کارگاه: ۸۵۰ هزار تومان امکان ثبتنام به صورت تکجلسه نیز وجود دارد. داستانهایی که خواهیم خواند، به ترتیب: The Yellow Wallpaper T…
❤12
بریممم!
❤8🗿2
در حال پختوپز پوستر هستیم...🔜
🔥28😁1
داستانهای کوتاه مشهور انگلیسی بخونیم و توی جلسهی آنلاین دور هم تحلیل کنیم. یه کلاس زبان کوچولو هم هست!
👍30🌚3❤1👎1
همخوانی انگلیسی دوست دارید؟👀
👍29❤5👎1
ما هم میتوانیم خوب و نجیب باشیم، اما فقط وقتی که همه چیز بر وفق مرادمان باشد. 📚| برادران کارمازوف 👤| فئودور داستایوسکی 🔥| #دیالوگ ✏️ @benevis_s
👍41🌚3🍓2❤1😁1
•[✍]• ۵ نشونهی نویسندگی غیرحرفهای •[4⃣]• نداشتن یک حرف یا مضمون مشخص 🖇اگر داستانت به سؤال یا مضمون مهمی نپردازه، حتی با پیرنگ قوی هم ممکنه زود از یاد بره. ما داستانهایی میخوایم که باعث میشن دنیا رو جور دیگهای ببینیم یا احساس متفاوتی نسبت بهش پیدا کنیم. سؤال یا مضمون اصلی داستان، قلب داستانته. 🖇از خودت بپرس: ● داستانم داره چه سؤالی مطرح میکنه؟ ● هر شخصیت چطور این مضمون رو بازتاب میده یا بررسی میکنه؟ آیا نمو…
❤23
Showing the 12 most recent of 43 posts we hold for @benevis_s. 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.
@benevis_s edited 1 post 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.
Citation-graph rank — 201,206 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.
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
Republishes
Channels on the register whose posts this channel has forwarded.
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.
Named by 9 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.
Names
Channels on the register whose handles appear in this channel's posts.
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.
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 9 August 2026 — this entry's latest reading, not the date you are reading this.
“زاپاس بنویس✨️” (@benevis_s), 2 subscribers as measured 9 August 2026. Telegram Register, tgregister.com/channel/benevis_s.
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.