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Channel

۪ ⊹ 𝑉𝘦𝘯𝑢𝑠 𝑠ℎ𝑜𝑝 | استوک

@venusshopw

On this record: Growth · Engagement · Posts · Citations · Cite this entry

1,897subscribers

+34 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-1004342288190
TypeChannel
Username@venusshopw
CreatedBetween 1 June 2026 and 29 July 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live15 August 2026
Measurements held5
Confirmed unchanged1 time, most recently 15 August 2026
On Telegramt.me/venusshopw

Growth

1,8631,9621,912.56 August 2026 — 1,863 subscribers7 August 2026 — 1,873 subscribers9 August 2026 — 1,962 subscribers12 August 2026 — 1,940 subscribers15 August 2026 — 1,897 subscribers1,8976 August 202615 August 2026
5 measurements spanning 9 days, net +34. 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 1,848–1,977 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
15 Aug 2026, 18:131,897-43
12 Aug 2026, 13:571,940-22
9 Aug 2026, 21:211,962+89
7 Aug 2026, 05:031,873+10
6 Aug 2026, 13:371,863first reading

Engagement

25 posts held, back to 29 July 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
11.4%
avg views ÷ 1,897 subscribers
Avg views / post
216
25 posts measured
Reaction rate
this channel exposes no reaction counts
Posts in window
25
of 25 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 held25 (29 July 20267 August 2026)
Views total5,406
Reactions total
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 17:23 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.

Recent posts

7 Aug 2026, 17:15 UTC3 viewsread 7 August 2026
Forwarded from @crimson004Photo

با این وضعیت گرونی و بالا رفتن دلار واقعا فقط این آنلاین شاپ ها قیمتاشون ثابت بود😨‼️ هرچی که برای یونیک کردن استایلت نیاز داری اینجا میتونی پیدا کنی 💥🔥 زود جوین شو ظرفیتشون محدوده 💋🖤

7 Aug 2026, 15:28 UTC19 viewsread 7 August 2026

عینک y2k🖤 چارم صلیب ✨ کفش و کیف کابوی🥀

7 Aug 2026, 14:41 UTC13 viewsread 7 August 2026
Forwarded from @crimson004Photo

🖤🍷با خریدام ازینجاها انقد استایلم و دیزاین اتاقم خفن شده که تصمیم گرفتم تیک تاکر شم👙🫙💋 اصلا نگران نباش چون هم قیمتشون خوبه و هم اعتبارشون چک شده👩‍🦱❤️👛 Best shops ever🖱 🍰🍹👄

7 Aug 2026, 14:05 UTC24 viewsread 7 August 2026
Photo

𝐀𝐥𝐭𝐞𝐫𝐧𝐚𝐭𝐢𝐯𝐞 𝐫𝐨𝐜𝐤 𝐚𝐜𝐜𝐞𝐬𝐬𝐨𝐫𝐢𝐞𝐬★ 𝟐𝟎𝟎𝟎𝐬 𝐘𝟐𝐤 𝐚𝐞𝐬𝐭𝐡𝐞𝐭𝐢𝐜𓏶 𝐦𝐞𝐭𝐚𝐥 𝐛𝐚𝐧𝐝 𝐧𝐞𝐜𝐤𝐥𝐚𝐜𝐞⋆♱𝐒𝐢𝐥𝐯𝐞𝐫 𝐜𝐡𝐚𝐢𝐧⛓‍💥 𝐣𝐨𝐢𝐧 𝐭𝐨 𝐟𝐢𝐧𝐝 𝐲𝐨𝐮𝐫 𝐚𝐞𝐬𝐭𝐡𝐞𝐭𝐢𝐜 𝐚𝐜𝐜𝐞𝐬𝐬𝐨𝐫𝐲✰

7 Aug 2026, 09:30 UTC53 viewsread 7 August 2026

🪽لیپ گلاس کیکو فقط 200 تومن چاپ طرح دلخواه روی تیشرت و کراپ با هرسایزی شومیز فیت کاستوم شده شلوارک و بوت کات وینتیج و لباسای برند و تک نسخه🩷

7 Aug 2026, 09:23 UTC30 viewsread 7 August 2026
Forwarded from @venusfoldertPhoto

اگه هنوز سبک استایلتو پیدا نکردی هرچیزی که توی پینترست و شاپ های خارجی میبینی توی ایران و مغازه های بیرون پیدا نمیشه این فولدر مخصوص خودته ❕ من اینجا واست کلی شاپ معتبر و اقتصادی پیدا کردم که واسه هرسبک استایلی کلی آیتم خاص داره که میتونی کلی ازشون ایده بگیری و با پول یه ایتم پنج تا رو همزمان بخری 🎀🌟🌟👜🌟 تخفیف ویژه و خرید قسطی + سبد خرید + ارسال رایگان🌟✨ JOIN JOIN JOIN JOIN JOIN JOIN

6 Aug 2026, 14:10 UTC66 viewsread 7 August 2026
Forwarded from @venusfoldertPhoto

تا کی میخوای توی این گرما از مغازه های بیرون خرید کنی که همه آیتماشون ساده و شبیه همدیگه‌ان؟ 🌟 من برات همه انلاین شاپ های معتبر و اقتصادی یکجا جمع کردم تا بتونی هرچی تو پینترست میبینی رو داشته باشی و دیگه پولتو دور نریزی 🌟🌟🌟🎀🌟🌟🌟🌟 TAP TO JOIN TAP TO JOIN TAP TO JOIN 🌟تازه رو بیشتر آیتم هاشون 50% تخفیف ویژه گذاشتن که تا 24 ساعت اعتبار داره پس برو تا دیر نشده سفارشت رو با نصف قیمت ثبت کن!🌟

6 Aug 2026, 13:21 UTC5 viewsread 6 August 2026

تا وقتی اینجا رو دارم عین مدل و ایدل مورد علاقم استایل میزنم!

6 Aug 2026, 11:21 UTC22 viewsread 6 August 2026
Forwarded from @IlolxadPhoto

🤩🤩Celine’s Closet🤩🤩 شاپی که کلکسیون کاملی از لباس‌های تک‌نسخه الگانت و متفاوتیه که جای خالیشون توی کمدت حس میشه! 🌟🤍 از پیراهن‌های ایونینگ بلند و کوتاه ریزکاری شده که جای دیگه ای مشابه‌ش رو پیدا نمیکنی تا ست‌های شلوار و رویه با وایب Early 2000s؛🖤🤩🤩 Where Timeless Meets Iconic. 🪽🪽: @Celines_closet

6 Aug 2026, 09:45 UTC25 viewsread 6 August 2026
Forwarded from @jeyshoppPhoto

Welcome to Jey Shop🏁🐐 New School, Old School, Y2K Alternative Custom T-shirts and pants, and sick original brands https://t.me/jeyshopp https://t.me/jeyshopp https://t.me/jeyshopp https://t.me/jeyshopp

6 Aug 2026, 04:31 UTC36 viewsread 6 August 2026
Forwarded from @tabfoldryPhoto

💋👄 عزیزم تو شیپ بدنت بد نیست فقط هنوز استایل خودتو پیدا نکردی! اینجا کمکت میکنم از اکسسوری موهات گرفته تا کفشات رو مناسب خودت بگیری🍸🍒 و چون خودشون واردکننده ان قیمت هاشون باورنکردنی عه پس با بودجه کم هم میتونی خرید مفید داشته باشی 👠 Tap tap sweetheart 🤩🍸🌟

Showing the 12 most recent of 25 posts we hold for @venusshopw. 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 — 658,329 of 1,481,346entries 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 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.

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

“۪ ⊹ 𝑉𝘦𝘯𝑢𝑠 𝑠ℎ𝑜𝑝 | استوک” (@venusshopw), 1,897 subscribers as measured 15 August 2026. Telegram Register, tgregister.com/channel/venusshopw.

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.