12 measurements spanning 11 days, net -14. 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 19,015–19,057 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
17 Aug 2026, 12:47
19,021
+1
16 Aug 2026, 02:16
19,020
-8
14 Aug 2026, 13:05
19,028
-7
13 Aug 2026, 04:06
19,035
+3
12 Aug 2026, 05:56
19,032
-8
11 Aug 2026, 03:31
19,040
-11
10 Aug 2026, 06:51
19,051
-1
9 Aug 2026, 09:53
19,052
+17
8 Aug 2026, 07:17
19,035
+4
7 Aug 2026, 07:55
19,031
-4
6 Aug 2026, 12:50
19,035
no change
6 Aug 2026, 12:49
19,035
first reading
Engagement
22 posts held, back to 18 July 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 24 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
13.9%
avg views ÷ 19,021 subscribers
Avg views / post
2,650
18 posts measured
Reaction rate
2.68%
reactions ÷ views · ER floor
Posts in window
18
of 22 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 10 August 2026
Posts held
22 (18 July 2026 – 10 August 2026)
Views total
47,710
Reactions total
1,278
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
17 Aug 2026, 16:20 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
Photos
≈3,840
Videos
≈302
Links
≈975
Lifetime counters from Telegram’s own channel header, read 17 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.
Reaction mix
1,423 reactions across 22 posts, in 4 distinct kinds. The most used accounts for 81.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
1,153
81.0%
🔥
132
9.28%
👍
123
8.64%
👎
15
1.05%
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 22 of the 22 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 1,423reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 22 most recent posts we hold, published 18 July 2026 to 10 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.
عامل و انگیزه ورود من به این حوزهی کاری دکتر فوده بود. به واسطه نسبت خویشاوندی خاطرات زیادی از کودکی از ایشان دارم. حق بزرگی به گردن من و خانواده داشت. در خاندان ما ایشان تصویری بتگونه داشت. به واسطهی کارهای خیر و خدماتی که چه به تمام خویشاوندان داشت و چه به مردم عادی. کارهای خیری که بخشی را به هیچکس بازگو نکرد. زمانی که بیمارستان آزادی تهران را تأسیس کرد تا همین اواخر بسیاری از بیماران روان را رایگان ویزیت و درم…
با نهایت تأسف و اندوه، درگذشت استاد گرانقدر و روانپزشک برجسته، جناب آقای دکتر حسین فوده را تسلیت عرض میکنم. پزشک حاذق و دلسوزیی که نقش بسزایی در درمان و آرامش بیمارانشان داشتند. در دورانی که افتخار همکاری با این استاد عزیز را داشتم، درسهای فراوانی از ایشان آموختم. بسیاری از دانشآموزان و دانشجویان ما زیر نظر استاد مسیر بهبودی را طی کردند و امروز با دریغ و اندوه فراوان، از نعمت وجود پرمهرشان محروم شدهایم. روحشان شا…
یکی از صفحات کتاب اشاره به این میکنه که فردی به نام تام کوشران که حالا شما میتونید این فرد رو برید در اینترنتم در موردش جستجو کنید وقتی که داشت کار میکرد متوجه شد که به صورت روزانه صرفاً چک کردن ایمیلها یک ساعت و نیم وقتش رو میگیره و بعد اینو روی چند تا شرکت هم بررسی کرد و متوجه شد اتفاقات عجیبی داره توی این شرکت ها رخ میده
تام کوشران صرفا با حذف همین چک کردن پیامها اومد محاسبه کرد که میتونه یک شرکت کوچک راه ا…
حقیقت تکان دهندهای که در این کتاب بهش اشاره میکنه در مورد بحث اجتماعی شدنه. یعنی زیاد اجتماعی شدن، زیاد در رسانه بودن، زیاد در فضاهایی که من اصلاً هیچ وقت در تمام طول دوران کاریم خودم نپسندیدم مثل اینستاگرام
اینها مانع کار عمیق میشه یعنی بیش از حد قرار گرفتن در معرض این رسانه ها اجازه نمیده شما بتونید به یه کار عمیق بپردازید و در پس اون کار عمیق بتونید یادگیری مفاهیم پیچیده و کارهای پیچیده و سودمند رو انجام بدید یع…
دو تا نکته خیلی جالب دیگهای که اشاره میکنه یکی این است که شما در مورد اول یعنی اینکه بلد باشید از فناوریها و تکنولوژی به صورت خلاقانه و هوشمند استفاده بکنید دو تا موضوع مطرح میکنه یکی اینکه این فناوریها ساده نیستند یعنی میگه کسانی که اومدن و کارهای بزرگ انجام دادن و میلیاردر شدن کسانی بودن که بلد بودن با فناوری های پیچیده خیلی خوب کار بکنن حالا یه چپتری باز میکنه یه فصلی باز میکنه میگه یاد گرفتن فناوریهای پیچی…
آینده و موفقیت کاری نصیب سه دسته میشود؛
۱- کسانی که خلاقانه با دستگاههای هوشمند و دیجیتال کار میکنند
۲- کسانی که در زمینه کاری خود ستاره هستند
۳- کسانی که به سرمایه دسترسی دارند
Showing the 12 most recent of 22 posts we hold for @Farasoyedaneshlib. 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.
Posts edited after publishing
@Farasoyedaneshlib 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.
First edit seen
12 August 2026
Most recent edit
12 August 2026
Citation-graph rank
Citation-graph rank — 153,631 of 1,481,306entries 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
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.
Named by
Channels on the register whose posts name this channel's handle.
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.
Appears in Telegram’s recommendations for other channels
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
PDF book @PDFbo0ok · 113,620 Telegram ranks this channel #8 of 88 here — alongside 87 others — read 14 August 2026
کتابخانه 🔊 @bo0ok_lovers · 201,786 Telegram ranks this channel #24 of 86 here — alongside 85 others — read 11 August 2026
کتابخانه دانشگاهی @Academic_Library · 144,441 Telegram ranks this channel #27 of 86 here — alongside 85 others — read 13 August 2026
This channel appears in 3 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 17 August 2026 — this
entry's latest reading, not the date you are reading this.
“کتابخانه فراسوی دانش” (@Farasoyedaneshlib), 19,021 subscribers as measured 17 August 2026. Telegram Register, tgregister.com/channel/Farasoyedaneshlib.
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.
