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Channel

تبارشناسی کتاب

@tabarshenasi_ketab

On this record: Growth · Engagement · Posts · Citations · Cite this entry

4,094subscribers

+63 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001244728785
TypeChannel
Username@tabarshenasi_ketab
Created29 March 2019measured — cross-checked against a third-party dataset (TGDataset)
First recorded6 August 2026
Last confirmed live18 August 2026
Measurements held6
Confirmed unchanged1 time, most recently 18 August 2026
On Telegramt.me/tabarshenasi_ketab

Growth

4,0314,0944,062.56 August 2026 — 4,031 subscribers6 August 2026 — 4,037 subscribers9 August 2026 — 4,050 subscribers12 August 2026 — 4,061 subscribers15 August 2026 — 4,077 subscribers18 August 2026 — 4,094 subscribers6 August 202618 August 2026
6 measurements spanning 12 days, net +63. 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 4,022–4,103 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
18 Aug 2026, 09:224,094+17
15 Aug 2026, 18:164,077+16
12 Aug 2026, 11:084,061+11
9 Aug 2026, 09:524,050+13
6 Aug 2026, 18:104,037+6
6 Aug 2026, 04:364,031first reading

Engagement

18 posts held, back to 1 August 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 4 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
15.1%
avg views ÷ 4,094 subscribers
Avg views / post
617
18 posts measured
Reaction rate
this channel exposes no reaction counts
Posts in window
18
of 18 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 5 August 2026
Posts held18 (1 August 20265 August 2026)
Views total11,111
Reactions total
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Aug 2026, 05:42 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.

Recent posts

5 Aug 2026, 21:38 UTC559 viewsread 8 August 2026

دفاع از نظریه‌های رهایی‌بخش چگونه فلسفه انسان را از زندان حقیقت‌ها آزاد می‌کند؟ ✍سینا جهاندیده تاریخ فلسفه را معمولاً تاریخ کشف حقیقت می‌دانند؛ اما می‌توان آن را از زاویه‌ای دیگر نیز خواند: تاریخ رهایی انسان. بسیاری از نظریه‌های بزرگ فلسفی، پیش از آنکه توصیفی از جهان باشند، واکنشی به صورت‌های گوناگون سلطه بوده‌اند. آنها تنها نمی‌خواستند حقیقت را توضیح دهند؛ می‌خواستند انسان را از حقیقت‌هایی آزاد کنند که خود به ابزار

5 Aug 2026, 21:21 UTC552 viewsread 8 August 2026

از «لوح سفید» جان لاک تا «لوح سپید» استیون پینکر تبارشناسی یک ایده ✍سینا جهاندیده بعضی کتاب‌ها فقط خوانده نمی‌شوند؛ تاریخ را تغییر می‌دهند. «جستاری در خصوص فاهمه‌ی بشری» اثر جان لاک از همین کتاب‌هاست. لاک در این اثر، با طرح ایده‌ی «لوح سفید» استدلال می‌کند که ذهن انسان هنگام تولد فاقد ایده‌های ذاتی است و معرفت از تجربه شکل می‌گیرد. در نگاه نخست، این نظریه صرفاً بحثی در معرفت‌شناسی به نظر می‌رسد، اما پیامدهای آن بسیا

4 Aug 2026, 12:23 UTC571 viewsread 8 August 2026
Photo

Photo, posted without a caption

Signed سینا جهاندیده

4 Aug 2026, 12:23 UTC562 viewsread 8 August 2026
Photo

روشنگری آهنگ آن کرد که اکاذیب و اساطیر را ویران کند، و به پیروزی حقیقت و آزادی یاری رساند، اما پس از آنکه ویرانکاری‌اش به سر آمد، ناگزیر از تشخیص این واقعیت شد که آن آزادی و حقیقت خود از همان اساطیر بوده است( تئودور آدورنو، زبان اصالت، ترجمه‌ی جمادی،۱۳۸۵ : ۷۸). @tabarshenasi_ketab

Signed سینا جهاندیده

3 Aug 2026, 23:20 UTC732 viewsread 8 August 2026

صدای شاعران دیگر رساترین صدایی نیست که در فضای فرهنگ ایران به گوش می‌رسد بلکه به نظر می‌رسد رمان‌نویسان رفته رفته جایگاه بلندتری می‌یابند و چهره‌های برجسته‌تر آفرینش ادبی از میان ایشان پدیدار می‌شوند ... گفته‌اند رمان زاده‌ی هنر بورژوازی ست. در رمان است که انسان دیگر نه با زبان شعر حماسی و روایی بلکه با زبان گفتاری در متن روابط اجتماعی و انسانی نشان داده می‌شود به عبارت دیگر، انسانی که رویاروی خدا یا خدایان بود با زب

Signed سینا جهاندیده

3 Aug 2026, 23:19 UTC595 viewsread 8 August 2026
Photo

Photo, posted without a caption

Signed سینا جهاندیده

3 Aug 2026, 23:15 UTC628 viewsread 8 August 2026
Photo

۳۶ سال پیش یعنی در سال ۱۹۹۰/۱۳۶۹ داریوش آشوری در سمینار MESA در سن‌آنتونیو تگزاس سخنرانی مهم و پیش‌گویانه‌ای به زبان انگلیسی ایراد کرد با عنوان«آیا شعر همچنان رسانه‌‌ی اصلی فرهنگی ما خواهند ماند؟» این سخنرانی در زمانی مطرح می‌شد که هنوز شعر پست مدرن در ایران ظهور چندانی نیافته بود. آشوری پیش‌بینی کرده بود: به نظر می‌رسد رمان‌نویسان جایگاه بلندتری پیدا می‌کنند. زیرا جامعه‌‌ی ایرانی به معنای جامعه‌شناختی آن یک جامعه‌ی

Signed سینا جهاندیده

3 Aug 2026, 12:20 UTC649 viewsread 8 August 2026
Photo

کتاب «Resistance and Enchantment: A Critical History of Translation in Iran» (مقاومت و افسون: تاریخی انتقادی از ترجمه در ایران) به ویراستاری استاد دکترعلی خزاعی‌فر، به‌زودی توسط انتشارات معتبر Routledge در مجموعه تخصصی Routledge Research on Translation and Interpreting History منتشر خواهد شد. این اثر با رویکردی نظری، تاریخ ترجمه در ایران را از منظر دو مفهوم «مقاومت» و «افسون فرهنگی» بازخوانی می‌کند و با گردآوری پژوهش

Signed سینا جهاندیده

3 Aug 2026, 12:19 UTC561 viewsread 8 August 2026

https://www.routledge.com/Resistance-and-Enchantment-A-Critical-History-of-Translation-in-Iran/Khazaeefar/p/book/9781032757384

Signed سینا جهاندیده

Showing the 12 most recent of 18 posts we hold for @tabarshenasi_ketab. 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 — 82,318 of 1,550,220entries 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

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 13 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 18 August 2026 — this entry's latest reading, not the date you are reading this.

“تبارشناسی کتاب” (@tabarshenasi_ketab), 4,094 subscribers as measured 18 August 2026. Telegram Register, tgregister.com/channel/tabarshenasi_ketab.

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.