Telegram RegisterThe public register of Telegram

Channel

کتابهایی که میخوانم

@thebooksthatread

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

369subscribers

+9 since we began measuring on 12 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1001124491097
TypeChannel
Username@thebooksthatread
CreatedBetween 1 June 2017 and 31 August 2020— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded12 August 2026
Last confirmed live12 August 2026
Measurements held2
Confirmed unchanged1 time, most recently 12 August 2026
On Telegramt.me/thebooksthatread

Growth

360369364.512 Aug 2026, 02:00 — 360 subscribers12 Aug 2026, 15:53 — 369 subscribers12 Aug 2026, 02:0012 Aug 2026, 15:53
2 measurements taken within a single day, net +9. 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 359–370 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
12 Aug 2026, 15:53369+9
12 Aug 2026, 02:00360first reading

Engagement

20 posts held, back to 23 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof Telegram’s post history, 20 posts per page.

ERR · 30 days
120.8%
avg views ÷ 369 subscribers
Avg views / post
446
20 posts measured
Reaction rate
this channel exposes no reaction counts
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.

What these figures were computed from
WindowRolling 30 days · latest post in window 11 August 2026
Posts held20 (23 July 202611 August 2026)
Views total8,912
Reactions total
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Aug 2026, 02:00 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
35s
Average length
35s

Measured directly from 1 video 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.

Recent posts

11 Aug 2026, 16:20 UTC≈2,040 viewsread 12 August 2026
Photo

از دستگاه هیستروسکوپی بپرس نام نجات دهنده ات را😅

4 Aug 2026, 21:00 UTC252 viewsread 12 August 2026
Photo

از چت‌جی‌پی‌تی بپرسید. Based on our chats, generate a clean 3x3 picture showing how you see me as a color, a song, a weather, a season, a book, a scent, a place, a flower, and a food. @RegaPlus

4 Aug 2026, 20:57 UTC233 viewsread 12 August 2026

اگر بخواهم همان حس و حال را با انتخاب‌های فارسی بازسازی کنم، احتمالاً این‌ها را انتخاب می‌کردم (باز هم به‌عنوان یک برداشت شاعرانه، نه شناخت قطعی از تو): * کتاب — «سمفونی مردگان» از عباس معروفی چون حسِ عمیق، درون‌نگر و شاعرانه دارد. مثل همان انتخاب قبلی («کیمیاگر») درباره آدم‌ها، مسیر زندگی و کشمکش‌های درونی است؛ اما با رنگ‌وبوی ایرانی‌تر و کمی جدی‌تر. گزینه‌ی آرام‌تر و روشن‌ترش هم می‌توانست «ماهی سیاه کوچولو» از

4 Aug 2026, 20:56 UTC199 viewsread 12 August 2026

حتماً. فقط یک نکته: من بر اساس همین گفت‌وگوهای در دسترسم این تصویر را ساخته‌ام؛ یعنی «شناخت کامل و واقعی از تو» ندارم، بلکه یک برداشت نمادین از حال‌وهوایی است که از درخواستت، نوع بیان و علاقه‌ات به یک تصویر شخصی و تأملی گرفتم. انتخاب‌ها بیشتر یک برداشت شاعرانه هستند تا قضاوت قطعی. * رنگ — سبز مریم‌گلی (Sage Green) این رنگ را انتخاب کردم چون حس آرامش، تعادل و کمی درون‌گرایی دارد. سبز مریم‌گلی نه خیلی پرسر و صداست و

4 Aug 2026, 12:32 UTC199 viewsread 12 August 2026

مکتوباتی: حوصلم سر رفته کاش کشیک بودم حداقل غر میزدم سر سال 1 Mood

3 Aug 2026, 21:02 UTC197 viewsread 12 August 2026

راستش رو بخوای، نه این‌که چالش نداشته باشه، ولی اون‌قدر نسبت بهش هیجان دارم، اون‌قدر ذوق و شوق دارم که چالش‌هاش هم برام شیرین به‌نظر می‌رسن.

2 Aug 2026, 16:48 UTC247 viewsread 12 August 2026

یه بار ایشون به عنوان استاد برایHard caseاومدن تو کلاس دکتر بقایی. استاد داشتن یه کیس رو مطرح میکردن و گفتن استاد(دکتر فرخ سعیدی) من این کار رو براش انجام دادم . بزرگوار گفتن: دکتر جان خدا به جراحای احمق همیشه کمک نمیکنه حواست باشه😁 خدا بیامرزتشون🖤

2 Aug 2026, 16:48 UTC207 viewsread 12 August 2026
Forwarded from @utmedsPhoto

دکتر فرخ سعیدی از اساتید نامی جراحی کشور درگذشت. استاد ما بود تو بخش جراحی دوران اینترنی، بیمارستان ۷ تیر تهران. کتاب پزشکیش به زبان انگلیسی: Surgery of Hydatid Disease (جراحی بیماری کیست هیداتید) تو سال ۱۹۷۶ میلادی توسط انتشارات Saunders در فیلادلفیا آمریکا منتشر شد. هنوز که هنوزه این کتاب بعنوان Text و منبع شناخته‌شده در زمینه درمان جراحی کیست هیداتید در جهان به شمار می‌رود. _سیمرغ_ @utmeds

31 Jul 2026, 09:07 UTC389 viewsread 12 August 2026

یکی بم زنگ زده گفت خانوم طیبه صالحی؟ گفتم بله گفت شما دیروز ساعت 9 صبح امتحان ارتقا داشتین؟ گفتم بله گفت بیمارستان یاس هستین؟ گفتم بله گفت جامدادی و کارت ورود ب جلسه و گذرنامه ای ک داخلش بوده من تو ولیعصر پیدا کردم رفتم اسمتون رو سرچ کردم تو اینترنت دیدم یکی هم اسم شما نوشته محل کار بیمارستان یاس زنگ زدم یاس شماره شما رو بگیرم بهم ندادن زنگ زدم اداره گذرنامه چون اونجا کار میکنم آشنا دارم شماره شما رو گرفتم زنگ زدم

Showing the 12 most recent of 20 posts we hold for @thebooksthatread. 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 — 574,056 of 1,176,251entries 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

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

“کتابهایی که میخوانم” (@thebooksthatread), 369 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/thebooksthatread.

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.