4 measurements spanning 7 days, net +57. 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 3,700–3,775 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
14 Aug 2026, 23:47
3,766
+18
11 Aug 2026, 04:55
3,748
+34
8 Aug 2026, 11:51
3,714
+5
7 Aug 2026, 16:16
3,709
first reading
Engagement
21 posts held, back to 1 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 2 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
58.3%
avg views ÷ 3,766 subscribers
Avg views / post
2,200
21 posts measured
Reaction rate
2.30%
reactions ÷ views · ER floor
Posts in window
21
of 21 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 7 August 2026
Posts held
21 (1 August 2026 – 7 August 2026)
Views total
46,100
Reactions total
1,062
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
7 Aug 2026, 22:55 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
25m 58s
Average length
1m 44s
Measured directly from 15 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
1,062 reactions across 21 posts, in 11 distinct kinds. The most used accounts for 48.1% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
511
48.1%
👍
404
38.0%
💯
61
5.74%
🤔
29
2.73%
🤩
17
1.60%
🤯
17
1.60%
👏
11
1.04%
🔥
4
0.377%
😢
4
0.377%
🙏
3
0.282%
🫡
1
0.094%
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 21 of the 21 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 1,062reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 21 most recent posts we hold, published 1 August 2026 to 7 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.
وزارت دفاع آمریکا پنجمین مجموعه از پروندههای مربوط به پدیدههای ناشناس هوایی و #بشقابپرنده ها رو منتشر کرد در همین راستا شبکه خبری CBS دقایقیپیش مصاحبه انجام داده با « #آوی_لوئب » که #ترامپ او را مأمور و نماینده تحقیق بر روی این پروژه کرده است.
#بیدار_شو
#راز های عدد ۱۳ ، تبعیدی #اعداد_مقدس ؛
در #سانسور شدید این عدد رازی نهفته است که قرنهاست از نگاهها #پنهان است.
نفرین؟ یا #کلیدی برای دروازههای #آگاهی ؟
شاید چیزی که از آن میترسیم، در #حقیقت همان چیزی است که باید بشناسیم.
چرا روی #یک_دلاری آمریکا یک #هرم از مصر وجود دارد و بارها از #نماد ها و عدد #سیزده در آن بکارگرفته شده است.
#بیدار_شو
#ماه در حدود ۲۸ روز به دور #زمین می چرخد ، این بدان معناست که در یک سال ( 365 روز ) ، ماه ۱۳ بار در مدار خود میچرخد و ۱۳ ماه قمری با ۲۸ روز به ما میدهد .
قرنها پیش ، جوامع اغلب از تقویم سالهای #۱۳_ماهه پیروی میکردند که ماهها را با مدارهای کامل ماه همسو میکرد ، این نوع تقویم که با طبیعت #هماهنگ است ، با تقویم 12 ماهه امروزی در تضاد است .
بسیاری از آموزههای ملل اول ، از جمله آموزههای Anishinaabe و Haudenosaune…
#BigOil
کمبود #نفت واقعی است یا یک روایت ساختگی؟
طرفداران یک نظریهٔ جنجالی معتقدند نفت منشأ #فسیلی ندارد و روایت «تمامشدن ذخایر» صرفاً ابزاری برای بالانگهداشتن #قیمت بوده است. به گفتهٔ آنان، در سال 1892 در ژنو معیاری برای تعریف مواد آلی تدوین شد و دانشمندان وابسته به #راکفلر با تطبیق نفت با آن معیار، در ذهن عموم آن را «سوخت فسیلی» جا انداختند؛ به باور این طرفداران، این تعریف بیشتر یک اقدام تبلیغاتی بود تا یک واقع…
#تکنیک_سلامتی
حواستون به PH بدنتون باشه
بدنتون #اسیدی هست یا #قلیایی؟
🔹️ تمام انواع بیماریها تو محیط اسیدی بدن ایجاد میشود، اسیدی بودن زیاد باعث #سرطان، التهاب، بیماری قلبی، چاقی، دیابت، بیماریهای خود ایمنی، درد مزمن و ... میشود.
#بیدار_شو
#ElonMusk
ادعای #ایلان_ماسک از بازگرداندن #بینایی تا دید فرا انسانی طی ۶ تا ۱۲ ماه آینده
🔹ایلان ماسک اعلام کرده است که #نورالینک قصد دارد نخستین تراشۀ مخصوص بازگرداندن بینایی را طی ۶ تا ۱۲ ماه آینده روی انسان #آزمایش کند.
🔸به گفته او، این تراشه میتواند حتی به افرادی که از بدو تولد نابینا بودهاند کمک کند، زیرا به جای ترمیم چشم یا عصب بینایی، اطلاعات تصویری را مستقیماً به بخش بینایی #مغز ارسال میکند.
🔹ماسک همچنین…
چطور بدنمون رو #قلیایی کنیم؟
وقتی بدن #اسیدی باشه، محیط مناسبی برای بیماریها میشه ❌
ولی وقتی بدن قلیایی باشه، سیستم ایمنی قوی میمونه و بیماریها نمیتونن رشد کنن ✅
مواد غذایی قلیاییکننده:
• #سبزیجات برگسبز مثل اسفناج، کاهو و کلمپیچ 🥬
• لیمو با اینکه طعم ترشی داره، اما توی بدن قلیایی عمل میکنه 🍋
• خیار، کرفس و کدو که آب زیادی هم دارن و #سمزدا هستن 🥒🥒
• #آووکادو، بادام و نارگیل برای چربیهای سالم و تعادل pH 🥑🥥…
👍32❤9💯3
Showing the 12 most recent of 21 posts we hold for @bidar_show. 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 — 594,498 of 1,480,944entries 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
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 14 August 2026 — this
entry's latest reading, not the date you are reading this.
“بیدار شو / Wakeup” (@bidar_show), 3,766 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/bidar_show.
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.