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Telegram profile photo for 👑UC chanel👑💍

Channel

👑UC chanel👑💍

@bibak_News

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

3subscribers

+0 since we began measuring on 12 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1001058381367
TypeChannel
Username@bibak_News
Description🆔 Messenger robot: @bibak_best_bot 🎲
CreatedBetween 1 May 2016 and 31 January 2017— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded13 August 2026
Last confirmed live13 August 2026
Measurements held2
On Telegramt.me/bibak_News

Growth

312 Aug 2026, 11:34 — 3 subscribers13 Aug 2026, 17:47 — 3 subscribers12 Aug 2026, 11:3413 Aug 2026, 17:47
2 measurements spanning 1 day. 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 2–4 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
13 Aug 2026, 17:473no change
12 Aug 2026, 11:343first reading

Engagement

20 posts held, back to 28 February 2019the 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.

Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 20 posts for this entry, the most recent from 4 February 2026. An engagement rate over an empty window would be a number about nothing.

What this channel posts

Photos
1,390
Videos
35
Links
212

Lifetime counters from Telegram’s own channel header, read 13 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.

Recent posts

19 Oct 2025, 12:43 UTC8 viewsread 13 August 2026
Forwarded from @Free_SmsBomberBotPhoto

♨️ اولین ربات اس ام اس بمبر رایگان ♨️ ✅ فقط کافیه شماره ای که میخوای نابودش کنی رو واسه ربات ما بفرستی 😂 کمتر از چند ثانیه ۱۰۰ تا اس ام اس واسش می‌فرسته و گوشیه طرف هنگ می‌کنه 😂😂 .. باور نمیکنی ؟؟! 🤦🏼‍♀😉 بزن رو لینک زیر امتحان کن https://t.me/Free_SmsBomberBot?start=133058554

Signed 约瑟夫

13 Jun 2019, 13:30 UTCviews —

👑UC chanel👑💍 pinned «بالاخره مکمل بخوریم یا نه؟ ✅اگر به مکمل اصل دسترسی دارید. ✅اگر میدونید به چه مکملی نیاز دارید. ✅اگر برای خودتون هدف تعیین کردید. ✅اگر مایل به پیشرفت سریعتر هستید. ✅اگر چربیهاتون زیاده و یا عضلات ضعیفی دارید. ✅اگر تغذیه خوبی ندارید ✅جواب مثبته, شما باید…»

18 Mar 2019, 05:50 UTC152 viewsread 13 August 2026

بالاخره مکمل بخوریم یا نه؟ ✅اگر به مکمل اصل دسترسی دارید. ✅اگر میدونید به چه مکملی نیاز دارید. ✅اگر برای خودتون هدف تعیین کردید. ✅اگر مایل به پیشرفت سریعتر هستید. ✅اگر چربیهاتون زیاده و یا عضلات ضعیفی دارید. ✅اگر تغذیه خوبی ندارید ✅جواب مثبته, شما باید در کنار برنامه تمرین و تغذیه خودتون از مکملهای اصل و اورجینال هم بهره بگیرید. ✍برای افراد لاغر👈 گینر ، آمینو ، کراتین ، گلوتامین ، و مولتی ویتامین بهترین گزینه ه

Signed 🎖𝓤𝓒!🎖

17 Mar 2019, 20:20 UTC124 viewsread 13 August 2026
Photo

🍫🥛فواید شیرکاکائو برای ورزشکاران 🥛افزایش تاثیرات ورزشی 🍫 🥛احیای سلول های بدن 🍫 🥛دارای پروتئین کامل و کربوهیدرات های سالم🍫 🥛ترمیم بافت عضلات🍫 🥛حاوی سدیم و پتاسیم 🍫 🥛تقویت ماهیچه ها 🍫 توجه‼️ جهت بهرمندی از خواص ذکر شده حتما شیرکاکائو کم چرب و کم قند تهیه کنید. https://t.me/joinchat/AAAAAEwYPPWPIvu37UjtPQ

Signed 🎖𝓤𝓒!🎖

10 Mar 2019, 09:57 UTC100 viewsread 13 August 2026

تحقیقات اخیر نشان مي‌‌دهند مصرف فلفل و غذاهای تند برای سلامت بدن خاصیت بسیاری دارد. بله درست شنیدید! فلفل مي‌‌تواند برای سلامتی شما مفید باشد! از جمله خواص متعدد فلفل مي‌‌توان به موارد زیر اشاره کرد: کاهش وزن فلفل‌های تند حاوی مقادیری کاپسایسین هستند. کاپسایسین به متابولیسم بدن کمک مي‌‌کند و سرعت سوخت‌وساز را افزایش مي‌‌دهد. علت این امر این است که کاپسایسین باعث افزایش دمای بدن شده و ضربان قلب را نیز افزایش مي‌‌د

Signed 🎖𝓤𝓒!🎖

10 Mar 2019, 06:45 UTC77 viewsread 13 August 2026
Photo

تصویر ذهنی مردم عادی درباره ی باشگاه بدنسازی😕 @DIETS_SPORT

Signed 🎖𝓤𝓒!🎖

8 Mar 2019, 10:36 UTC74 viewsread 13 August 2026

بهترین زمان غذا خوردن برای لاغر شدن ساعت متابولیسم بدن و زمان خوردن غذا برایلاغری سریع بر اساس جدیدترین تحقیقات انجام شده ثابت شد که خوردن و نخوردن غذا در ساعتی از روز می تواند سرعت لاغری و کاهش وزن را دوبرابر تغییر دهد. بر اساس این مطالعات شما می توانید اینگونه سریع وزن کم کنید: می توانید هر نوع خوردنی و مواد غذایی سالم که دوست دارید بخورید اما فقط از ساعت 8 صبح تا 2 بعدازظهر. غذاهای سبک و کم کالری را نیز بین س

Signed 🎖𝓤𝓒!🎖

7 Mar 2019, 10:00 UTC58 viewsread 13 August 2026
Photo

✅نان « سنگک » برترین نان گندم ❇️نان سنگک سرشارازآهن روی،منیزیم و کلسیم است و بعد از نان جو بهترین است، نانی است که تمام این مواد را دارد، اگر نانی این مواد را نداشته باشد باعث دیابت چاقی و سرطان میشود...این در حالی است که نان لواش از لحاظ سالم بودن ،بدترین نان محسوب میگردد! @Diets_Sport

Signed 🎖𝓤𝓒!🎖

Showing the 12 most recent of 20 posts we hold for @bibak_News. 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 — 774,282 of 1,480,975entries 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.

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.

Mentions

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.

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

“👑UC chanel👑💍” (@bibak_News), 3 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/bibak_News.

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.