Telegram RegisterThe public register of Telegram

Channel

به‌دانی

@behdaniReads

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

2,184subscribers

+4 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-1002375564944
TypeChannel
Username@behdaniReads
CreatedBetween 1 September 2024 and 31 March 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live12 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 12 August 2026
On Telegramt.me/behdaniReads

Growth

2,1802,1862,1836 August 2026 — 2,180 subscribers6 August 2026 — 2,180 subscribers9 August 2026 — 2,186 subscribers12 August 2026 — 2,184 subscribers2,1846 August 202612 August 2026
4 measurements spanning 7 days, net +4. 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 2,179–2,187 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
12 Aug 2026, 16:042,184-2
9 Aug 2026, 16:012,186+6
6 Aug 2026, 06:062,180no change
6 Aug 2026, 01:372,180first reading

Engagement

20 posts held, back to 9 February 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
30.1%
avg views ÷ 2,184 subscribers
Avg views / post
657
1 post measured
Reaction rate
1.98%
reactions ÷ views · ER floor
Posts in window
1
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
WindowRolling 30 days · latest post in window 2 August 2026
Posts held20 (9 February 20262 August 2026)
Views total657
Reactions total13
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 16:52 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.

What this channel posts

Video runtime
10m 03s
Average length
2m 01s

Measured directly from 5 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

561 reactions across 20 posts, in 8 distinct kinds. The most used accounts for 79.1% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
44479.1%
🙏508.91%
👍488.56%
👏111.96%
😐30.535%
🥰30.535%
👎10.178%
🥴10.178%

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 561reactions 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 9 February 2026 to 2 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.

Recent posts

2 Aug 2026, 14:31 UTC657 views13 reactionsread 7 August 2026
Forwarded from @neekmanPhoto

نیک‌کان با همراهی چراغک برگزار می‌کند: تور فرهنگی و ادبی «روسیه» مسکو و سنت‌پترزبورگ با همراهی استاد عبدالجبار کاکایی :گشت‌ها و بازدیدهای کامل گشت شبانه کشتی، موزه هرمیتاژ، باغ باشکوه پترهوف، خانه‌موزه داستایفسکی، خانه‌موزه تولستوی، میدان سرخ، کلیسای باسیلی مقدس، آرامگاه لنین، مرکز خرید تاریخی گوم، باغ الکساندر، آرامگاه سرباز گمنام، مراسم تعویض نگهبان، ساختمان هفت خواهران، پارک پیروزی، کلیسای مسیح منجی، خیابان آربا

9😐3🥴1

15 Jul 2026, 11:45 UTC≈1,650 views37 reactionsread 7 August 2026
Video

منتشر شد. به_دانی؛ کتاب‌خوانی با مصطفی ملکیان قسمت دوم، فصل دوم تأملات لاروشفوکو ویدیوی کامل در کانال یوتیوب نیک‌مان http://www.youtube.com/@neekman لطفاً پس از باز کردن لینک «سابسکرایب» کنید و ویدیو قسمت دوم را باز کنید. به‌دانی؛ پویش کتاب‌خوانی با مصطفی ملکیان کاری از مؤسسه‌ نیک‌مان و مؤسسه فرزانه

35👏2

30 Jun 2026, 09:46 UTC≈2,270 views35 reactionsread 7 August 2026
Video

برشی از قسمت اول فصل دوم به‌دانی کتاب در ستایش شکست لینک ویدیوی کامل این جلسه در کانال یوتیوب نیک‌مان http://www.youtube.com/@neekman به‌دانی؛ پویش کتاب‌خوانی با مصطفی ملکیان کاری از مؤسسه‌ نیک‌مان و مؤسسه فرزانه @behdanireads

34👏1

23 Jun 2026, 19:58 UTC≈2,750 views42 reactionsread 7 August 2026
Video

برشی از قسمت اول فصل دوم به‌دانی کتاب در ستایش شکست لینک کانال یوتیوب نیک‌مان http://www.youtube.com/@neekman به‌دانی؛ پویش کتاب‌خوانی با مصطفی ملکیان کاری از مؤسسه‌ نیک‌مان و مؤسسه فرزانه @behdanireads

35👏7

12 Jun 2026, 05:02 UTC≈3,350 views49 reactionsread 7 August 2026
Video

منتشر شد. به_دانی؛ کتاب‌خوانی با مصطفی ملکیان قسمت اول، فصل دوم در ستایش شکست ویدیوی کامل در: https://youtu.be/yC8RKDt1r8w?si=na6q4LDSs1aTZgRs

37👍12

9 Jun 2026, 08:01 UTC≈2,800 views43 reactionsread 7 August 2026

📚✨ فصل دوم «به‌دانی» را با سه کتاب متفاوت و تأمل‌برانگیز آغاز می‌کنیم؛ سه کتاب که هر یک از زاویه‌ای متفاوت ما را به بازاندیشی در زندگی، خودشناسی و مواجهه با جهان دعوت می‌کنند. 🔹 کتاب اول: در ستایش شکست آیا شکست همیشه چیزی است که باید از آن گریخت؟ این کتاب نگاهی متفاوت به مفهوم شکست دارد و نشان می‌دهد چگونه ناکامی‌ها می‌توانند به فهم عمیق‌تر خود، رشد فردی و زندگی اصیل‌تر بینجامند. لینک خرید: https://neekman.ir/produ

38👍5

9 Jun 2026, 07:32 UTC≈2,120 views41 reactionsread 7 August 2026

📚✨ فصل دوم «به‌دانی» آغاز شد! 🔹پویش کتاب‌خوانی «به‌دانی» در فصل نخست، با همراهی مصطفی ملکیان، طی دوازده جلسه آنلاین به معرفی و بررسی دوازده کتاب پرداخت؛ تجربه‌ای که هر ماه مخاطبان را به خواندن، اندیشیدن و گفت‌وگو درباره یک کتاب دعوت می‌کرد. 🔹اکنون در فصل دوم، «به‌دانی» با همراهی استاد ملکیان، با قالبی تازه و کیفیتی بالاتر ادامه پیدا می‌کند. از این پس هر ماه یک ویدیو درباره یک کتاب منتشر خواهد شد؛ گفتگویی درباره هر

31👍8🙏2

25 Feb 2026, 05:42 UTC≈2,760 views16 reactionsread 7 August 2026

دوستان و همراهان پویش به_دانی ضمن سپاس از همراهی شما عزیزان، با توجه به برنامه‌ریزی پویش برای سال آینده، از شما عزیزان تقاضا داریم در نظرخواهی بالا مشارکت کرده و ما را در تدوین برنامه سال آینده این پویش یاری کنید. با مهر و سپاس

👍9🙏43

19 Feb 2026, 16:09 UTC≈3,530 views2 reactionsread 7 August 2026

پرسش پنجم: چه انتقاد/ انتقادهایی به نحوه برگزاری جلسات و نقد کتاب‌ها دارید؟

2

19 Feb 2026, 16:05 UTC≈3,570 views5 reactionsread 7 August 2026

پرسش چهارم: چه کتاب‌ها یا چه نوع کتاب‌هایی را برای بررسی در به_دانی بیشتر می‌پسندید؟

5

19 Feb 2026, 16:02 UTC≈3,520 views3 reactionsread 7 August 2026

پرسش سوم: از میان این ۱۲ جمله کدام جمله بیشتر مورد توجه شما قرار گرفت؟ (همراه با ذکر نام کتاب)

3

Showing the 12 most recent of 20 posts we hold for @behdaniReads. 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 — 9,065 of 1,480,688entries 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

Named by 4 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 12 August 2026 — this entry's latest reading, not the date you are reading this.

“به‌دانی” (@behdaniReads), 2,184 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/behdaniReads.

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.