Channel
@PDFbo0ok
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry
114,790subscribers
+1,318 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 100,000–316,228.
| Telegram ID | -1001448490565 |
|---|---|
| Type | Channel |
| Username | @PDFbo0ok |
| Description | 🔴 سفارش تبلیغات 👇👇👇 @tablighate_ketab . 🔴 انتقاد و پیشنهاد 👇 👇👇 @audio_bo0ok . 📚 کانال کتابخانه صوتی 👇👇👇 @audiobo0ok . 📚 حمایت داوطلبانه از کانال 👇 https://hamibash.com/audiobo0ok |
| Created | Between 1 April 2019 and 31 October 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 17 September 2026 |
| Measurements held | 34 |
| Confirmed unchanged | 1 time, most recently 17 September 2026 |
| On Telegram | t.me/PDFbo0ok |
Literature — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 9 August 2026 and assigned it the closest of 31 fixed categories, at 99% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and why it has no browse page of its own yet.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 17 Sept 2026, 18:59 | 114,790 | -9 |
| 15 Sept 2026, 16:36 | 114,799 | +27 |
| 14 Sept 2026, 00:38 | 114,772 | +17 |
| 12 Sept 2026, 07:38 | 114,755 | -35 |
| 9 Sept 2026, 23:35 | 114,790 | +45 |
| 6 Sept 2026, 17:01 | 114,745 | +30 |
| 4 Sept 2026, 07:42 | 114,715 | +33 |
| 2 Sept 2026, 23:53 | 114,682 | +19 |
| 1 Sept 2026, 22:58 | 114,663 | +35 |
| 31 Aug 2026, 19:46 | 114,628 | +44 |
| 30 Aug 2026, 20:03 | 114,584 | +51 |
| 29 Aug 2026, 18:54 | 114,533 | +71 |
| 28 Aug 2026, 19:06 | 114,462 | +3 |
| 27 Aug 2026, 19:53 | 114,459 | +384 |
| 26 Aug 2026, 22:53 | 114,075 | +272 |
| 26 Aug 2026, 01:02 | 113,803 | +2 |
| 24 Aug 2026, 22:34 | 113,801 | +4 |
| 23 Aug 2026, 07:53 | 113,797 | -1 |
| 21 Aug 2026, 17:56 | 113,798 | +7 |
| 20 Aug 2026, 18:44 | 113,791 | first reading |
206 posts held, back to 31 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 113 pages of Telegram’s post history, 20 posts per page.
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 108 of 109 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 26 September 2026 |
|---|---|
| Posts held | 206 (31 July 2026 – 26 September 2026) |
| Views total | 860,480 |
| Reactions total | 7,801 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 26 Sept 2026, 22:39 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.
Lifetime counters from Telegram’s own channel header, read 26 September 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.
Measured directly from 12 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.
16,852 reactions across 205 posts, in 4 distinct kinds. The most used accounts for 61.3% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 10,326 | 61.3% | |
| 👍 | 6,013 | 35.7% | |
| 👎 | 409 | 2.43% | |
| 🤨 | 104 | 0.617% |
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 205 of the 206 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 16,852 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 206 most recent posts we hold, published 31 July 2026 to 26 September 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.
#تیکه_کتاب سعادت انسان را میتوان با درختان مقایسه نمود. هر هنگام که از دور به تماشای آنها مینشینی بسیار زیبا و دلنشین به نظر میرسند، امّا وقتی به میان آنها میروی این زیبایی محو میشود و دیگر قادر به تماشای آن نیستی. دلیل حسادت ورزیدن ما به دیگران نیز همین است. 📕 #ترسها_و_مزخرفات_ذهنی ✍ #آرتور_شوپنهاور 📚 @PDFbo0ok
❤61👍12🤨1
#تیکه_کتاب راستی این راز جگرسوز، این حیات چیست؟ آدمیان به هم میرسند و سپس همچون برگهایی که به دست باد بیفتند از هم جدا میشوند. چشمها بیهوده میکوشند که شکل چهره و بدن و حرکات کسی را که آدم دوست دارد در خود نگاه دارند، لیکن پس از گذشت چندین سال دیگر حتی به یاد نمیآورند که چشمان او آبی بود یا سیاه. 📕 #زوربای_یونانی ✍ #نیکوس_کازانتزاکیس 📚 @audiobo0ok
❤65👍24👎1
👩🏫من کارشناسِ ارشد زبان و ادبیات فارسی هستم. اینجا نگارانه! من واژهها رو از متون قدیمی بیرون میکشم و بهتون میگم هر واژه قصهش چی بوده.اینجا ادبیات فارسی کاملا متفاوته. @negaaraan_ac
❤10👍3
#تیکه_کتاب خیلی وقتها حواسمون نیست و عاشق میشویم، خیلی وقتها حواسمان نیست و فکر میکنیم عاشقیم! حواسمان نیست و فکر میکنیم عاشقمان شدهاند! خیلی وقتها متوجه میشویم عاشق نبودهایم، عاشقمان نبودهاند بلکه احساسی که میپنداشتیم عشق است یک سوءِتفاهم بوده! 📕 #تصرف_عدوانی ✍ #لنا_آندرشون 📚 @PDFbo0ok
👍78❤18👎3🤨2
🇮🇷🇮🇷🇮🇷🇮🇷 لحن بیانتون ضعیفه؟ دیدین بعضی ها تو جمع یجوری حرف میزنن و همه رو مجاب به گوش دادن ميكنن. کانالی هست برای این موضوع به نام "ترفند مدیریت" که در طول روز پستهای محدودی میزاره اما کیفیت تولید پستهاش فوق العاده هست. شما به دیدن این کانال دعوت شده اید.🔥 @tarfandemodiriat @tarfandemodiriat
❤8
زمان گرانبهاست، مطمئن شو با آدمهای با ارزش ميگذرونيش.... 📚 @PDFbo0ok
❤87👍22
♦️حقیقت مرگ چیست؟ تحقیقات و مستندات مرگ پژوهان آلمان 👇👇 @Nahtoderfahrung @Nahtoderfahrung
❤9👎1
#تیکه_کتاب زخمها جای شرم نیستند، آنها نشان میدهند که چه جنگهایی را از سر گذراندهایم. اما تلخیشان از آن است که چه کسانی آنها را بر جانمان نشاندند. 📕 #ملت_عشق ✍ #الیف_شافاک 📚 @PDFbo0ok
❤55👍19👎1
#تیکه_کتاب هیچکس متوجه نمیشود که برخی از افراد چه عذابی را تحمل میکنند تا آرام و خونسرد به نظر بیایند 📕 #دنیای_قشنگ_نو ✍ #آلدوس_هاکسلی 📚 @PDFbo0ok
👍123❤50👎1
#تیکه_کتاب اگر افراد میتوانستند ياد بگيرند كه آنچه برای من خوب است لزومي ندارد كه برای ديگران هم خوب باشد، آنگاه دنيای شاد و خوشايندتری میداشتيم. "تئوری انتخاب" به ما میآموزد كه دنيای مطلوب من، اساس و شالوده زندگی من است و نه اساس و شالوده زندگی ديگران. 📕 #تئوری_انتخاب ✍️ #ویلیام_گلاسر 📚 @PDFbo0ok
❤77👍43
#تیکه_کتاب اولین قدم برای یاد گرفتنِ شنا نترسیدن از آب و رها شدن است. مربی همیشه میگوید: بپر، خودت را رها کن، زیر آب چشمهایت را باز کن، بعد خودت آرام آرام برمیگردی به سطح آب شرطِ اول همان دست و پا نزدن است، گاهی باید واقعا بیخیال شد و رفت گوشهای نشست. باید بیخیالِ دست و پا زدن شد گاهی باید بگذاریم زندگی کارش را بکند. شاید بعدش آرام آرام برگشتیم به سطح آب به زندگی بی خفگی... 📕 #اتوبوسی_به_نام_هوس ✍️ #تنسی_ویلیام…
❤117👍30
🧡 دور ایرانِ مون بگردیم 😍🧡 از مهِ شمال تا کویرِ ستارهباران، هر گوشه این سرزمین، دلیلیست برای افتخار 🇮🇷 ایرانِ خودمون هنوز هزار بار برای شگفتزدهکردنمون حرف داره... 🟠 ما توی سایت لستسکند، بیش از ۵۰ تور متنوع ایرانگردی برای آخر هفتهها داریم. 🚨توو هر سبک و سلیقهای که بخوای، با هر بودجهای که داشته باشی 👇🟠کانال تورهای آفری و تورهای لحظه آخری لستسکند 👇🟠 @lastsecondtours @lastsecondtours
❤9
Showing the 12 most recent of 206 posts we hold for @PDFbo0ok. 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.
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.
Named by 10 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.
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.
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Read from Telegram’s recommendation API, most recently 14 August 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
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.
This channel appears in 23 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 September 2026 — this entry's latest reading, not the date you are reading this.
“PDF book” (@PDFbo0ok), 114,790 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/PDFbo0ok.
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.