🌹 @intbook ✨ اولین باری که دیدمش، با اون شوق و ذوق به حرفام گوش میکرد. جوری که انگار هر کلمهای که میگفتم براش مهم بود. همون موقع یه چیزی ته دلم گفت: کاش هیچوقت بهم نگی دوستم داری... نه اینکه دوست نداشته باشم. اتفاقاً ترسم از همین بود؛ از اینکه اگر یه روز بهم بگی، من دیگه نتونم مثل همیشه فرار کنم، نتونم بگم «نه»، نتونم خودمو قانع کنم که این آدم هم مثل بقیهست. بعضی آدمها رو از همون اول که میبینی، یه جوری دوست دا…

Channel
BOOK INTRODUCTION 📑
@intbook
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
84subscribers
-4 since we began measuring on 5 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
Register entry
| Telegram ID | -1001066566482 |
|---|---|
| Type | Channel |
| Username | @intbook |
| Description | Presentation all of new and all books inbound& abroad_ non-stop read more books بازشناسی کتاب های ایرانی و خارجی، همراه بامطالب متنوع فرهنگی 📚 📝 AdMiN: https://t.me/Pura66 |
| Created | Between 1 May 2016 and 28 February 2017 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 10 October 2026 |
| Last confirmed live | 12 October 2026 |
| Measurements held | 8 |
| On Telegram | t.me/intbook |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 10 Oct 2026, 12:23 | 84 | no change |
| 30 Sept 2026, 18:21 | 84 | -4 |
| 12 Sept 2026, 13:01 | 88 | +1 |
| 4 Sept 2026, 16:39 | 87 | -1 |
| 20 Aug 2026, 04:24 | 88 | -2 |
| 14 Aug 2026, 03:58 | 90 | +1 |
| 6 Aug 2026, 15:40 | 89 | +1 |
| 5 Aug 2026, 23:14 | 88 | first reading |
Engagement
20 posts held, back to 9 October 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 1 page of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 5.60%
- avg views ÷ 84 subscribers
- Avg views / post
- 4.7
- 20 posts measured
- Reaction rate
- 18.2%
- reactions ÷ views · ER floor
- Posts in window
- 20
- 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. It is computed over the 2 of 20 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 10 October 2026 |
|---|---|
| Posts held | 20 (9 October 2026 – 10 October 2026) |
| Views total | 94 |
| Reactions total | 2 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 10 Oct 2026, 12:23 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.
What this channel posts
- Photos
- ≈5,150
- Videos
- ≈4,090
- Links
- ≈1,010
Lifetime counters from Telegram’s own channel header, read 10 October 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.
- Video runtime
- 15m 10s
- Average length
- 7m 35s
Measured directly from 2 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
2 reactions across 2 posts, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 2 | 100.0% |
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 2 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 2 reactions 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 October 2026 to 10 October 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
«چرا به آسمان مینگریم؟» @intbook انسان هزاران سال پیش از آنکه شهر بسازد، کتاب بنویسد یا فلسفه بیافریند، شبها سرش را به سوی آسمان بلند میکرد و به ستارهها نگاه میکرد. شاید هیچ منظرهای در تاریخ بشر به اندازهی آسمان شب، همزمان اینهمه پرسش و شگفتی خلق نکرده باشد. برای نیاکان ما، ستارهها فقط اجرام آسمانی نبودند؛ نقشه، تقویم، اسطوره و گاهی حتی سرنوشت بودند. از خدایان یونانی که در صورتهای فلکی جاودانه شدند تا د…
🩷 @intbook 🩷 سرت بر شانهام، دنیا همین است بهشتی هم اگر هست، اینچنین است مرا از زندگی چیزی نباید همین آغوشِ تنگت بهترین است. 🩵🩵🩵🩵🩵🩵🩵🩵🩵 دانی که چرا دار مکافات شدیم؟ ناکرده گنه چنین مجازات شدیم؟ کشتیم خرد، دار زدیم دانش را در بند و اسیر صد خرافات شدیم - مولانا 💚💚💚💚💚💚💚💚💚 در دلم خواستنِ مرگ کسی نیست ولی کاش هر کس به تو دل بست، بیاید خبرش. ♥️♥️♥️♥️♥️♥️♥️♥️♥️ گویند لب یار کند رفع عطش را من هر چه مکیدم لب او، تشنه ترم کرد
🆔 \: @andishevn 🎞️ 🌺 #عمران_صلاحی از خودش و #حسین_منزوی میگوید:
🆔 ➖ @intbook 📘 🌻 🎞 در این ویدئو #بزرگ_علوی نویسنده نامدار ایرانی درباره نگاه #صادق_هدایت به زن میگوید...
9🆔 :/ @intbook 🌷 📔 منتقدانی چون شاملو و براهنی او را بیاعتنا به درد جامعه خواندند و براهنی طعنِ «بچه بودای اشرافی» را به او زد. در برابر، پای «دیگری» و درد انسان انضمامی در «هشت کتاب» کمرنگ است، هرچند در سطرهایی مانند «من زنی را دیدم نور در هاون میکوبید» حضوری لرزان دارد. از میان این دو قرائت، کدام به سهراب نزدیکتر است، و نقد شما بر او با نقد آنان چه تفاوتی دارد؟ انسان انضمامی در شعر سهراب چندان پررنگ نیست. من به…
10🆔 /: @intbook 🪴📕 بخش مهمی از این تصاویر زنانه را میتوان با دوگانهی «آنیما ـ آنیموس» یونگ بهتر فهمید؛ یعنی زن اثیری یا وجه زنانهی ناخودآگاه مرد. همانطور که هر مردی وجه زنانهای در ناخودآگاه خود دارد، در روان زن نیز وجه مردانه وجود دارد. در «هشت کتاب»، بسیاری از زنانی که سهراب به آنها میپردازد، لزوماً «زن پیرامونی» به معنای اجتماعی کلمه نیستند؛ بلکه بیشتر با همین وجه نمادین و روانشناختی قابل توضیحاند. 🩵 @intbo
🆔 :/ @intbook 📗 ✨💚
8🆔:/ @intbook 🍃💚 .. و صدای ظلمت را، وقتی از برگی می ریزد و صدای، سرفه روشنی از پشت درخت، عطسه آب از هر رخنه سنگ، چکچک چلچله از سقف بهار. و صدای صاف، باز و بسته شدن پنجره تنهایی. و صدای پاک پوست انداختن مبهم عشق، متراکم شدن ذوق پریدن در بال و ترک خوردن خودداری روح . من صدای قدم خواهش را می شنوم و صدای، پای قانونی خون را در رگ . ضربان سحر چاه کبوترها، تپش قلب شب آدینه، جریان گل میخک در فکر شیهه پاک حقیقت ا…
❤1
🌺7🆔/: @intbook 🌺 سپهری شعر و نقاشی را همزمان میزیست. میان رنگ لاجوردی و فضای کاشیوارهٔ نقاشیهایش از یک سو، و لحن نرم و لطیف و منسجم شعرش از سوی دیگر، چه پیوندی میبینید؟ به گمان شما او شاعرانه نقاشی میکند یا نقاشانه شعر میگوید؟ دربارهی سهراب گفتهاند وقتی شعر مینوشت، گویی نقاشی میکرد. چون شعر او سرشار از ایماژ است و این ایماژها در واقع همان نگاه تصویری او به هستی هستند که در قالب کلمات ریزش کردهاند. اینکه…
6🆔 :/ @intbook 📗 🌷 »اینجا #سابژکتیو و امر ذهنی برجسته میشود؛ یعنی آنچه در درون من رخ میدهد، اهمیت پیدا میکند. بیرون شب است، اما در اتاق من طنین و صدا وجود دارد. این نوع درونیکردن تجربه را میتوان با همان «تراوش بیواسطهی نگاه» که سهراب در مکتوباتش از آن سخن میگوید، مرتبط دانست؛ اینکه جهان را بیواسطه تجربه و مشاهده کنیم. در پاسخهای قبلی به شعر «بعد از آبها» از دفتر «حجم سبز» اشاره کردم؛ جایی که میگوید: 🌟 @i…
🌾🆔:/ @intbook 📗 🌷 ✨
Showing the 12 most recent of 20 posts we hold for @intbook. 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.
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 1 registered channel — 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.
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 10 October 2026 — this entry's latest reading, not the date you are reading this.
“BOOK INTRODUCTION 📑” (@intbook), 84 subscribers as measured 10 October 2026. Telegram Register, tgregister.com/channel/intbook.
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.