Politics & activism — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 11 September 2026 and assigned it the closest of 31 fixed categories, at 100% 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 the other topics.
Observations
These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.
Content that also appears on other registered channels
Posts published here appear in near-verbatim form on 1 other registered channel. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.
Matching posts — open both and compare (6 of the pairs behind the counts below)
Channels this entry shares post bodies with, where at least one matching post pair has no forward credit between the two channels, or to a common source, recorded in our data
Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.
What this cannot establish
MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.
Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. None of the 0 matches recorded here fall after that date, so for this entry we cannot say whether any of them carried a credit. The duplication is measured; the absence of attribution is not.
“Published first” means first in this corpus. We hold 125 comparable posts for this entry, running 26 July 2026 to 14 November 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.
The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.
Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).
Recorded under the key clone_source, last confirmed 15 November 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.
Growth
60 measurements spanning 100 days, net +93. 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 13,139–13,379 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 60
Measured (UTC)
Subscribers
Change
14 Nov 2026, 09:46
13,326
-10
11 Nov 2026, 15:08
13,336
-4
9 Nov 2026, 17:37
13,340
+2
7 Nov 2026, 03:58
13,338
-3
6 Nov 2026, 00:59
13,341
+3
4 Nov 2026, 22:06
13,338
-3
3 Nov 2026, 19:00
13,341
-10
2 Nov 2026, 15:15
13,351
+4
1 Nov 2026, 14:37
13,347
+1
31 Oct 2026, 15:31
13,346
-4
30 Oct 2026, 15:00
13,350
+8
28 Oct 2026, 21:27
13,342
+1
27 Oct 2026, 18:38
13,341
+4
26 Oct 2026, 20:54
13,337
+4
25 Oct 2026, 21:26
13,333
+5
24 Oct 2026, 20:17
13,328
+5
23 Oct 2026, 23:08
13,323
+14
22 Oct 2026, 23:54
13,309
-6
21 Oct 2026, 20:19
13,315
-2
20 Oct 2026, 12:16
13,317
first reading
Engagement
129 posts held, back to 26 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 74 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
17.3%
avg views ÷ 13,326 subscribers
Avg views / post
2,300
53 posts measured
Reaction rate
1.59%
reactions ÷ views · ER floor
Posts in window
53
of 129 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 15 November 2026
Posts held
129 (26 July 2026 – 15 November 2026)
Views total
122,090
Reactions total
1,938
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
15 Nov 2026, 08:49 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
≈743
Videos
≈760
Links
≈5,730
Lifetime counters from Telegram’s own channel header, read 15 November 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
13m 34s
Average length
58s
Measured directly from 14 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
4,901 reactions across 127 posts, in 20 distinct kinds. The most used accounts for 44.1% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
2,163
44.1%
👍
1,939
39.6%
👏
315
6.43%
👌
233
4.75%
😢
114
2.33%
👎
49
1%
🙏
18
0.367%
🤬
15
0.306%
🤔
13
0.265%
🔥
11
0.224%
🤣
11
0.224%
🥰
4
0.082%
🫡
4
0.082%
😴
3
0.061%
🥴
3
0.061%
🤝
2
0.041%
😍
1
0.02%
😱
1
0.02%
🤯
1
0.02%
🥱
1
0.02%
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 129 of the 129 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 4,986 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 129 most recent posts we hold, published 26 July 2026 to 15 November 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
Telegram’s own ‘edited’ marker: 8 of 53 posts held from the last 30 days (15.1%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
♻️« از یاد رفته ها »
بر حسب عادت مرسومه کتابی از کتابخانه نفیس وارزنده خود را در برگرفته تا اندکی اوقات به طراوت و شادابی سپری کنم و از افکار مشوش و اغیار پریشان کننده بگسلم.
« از یاد رفته ها » نام کتابی است که اواخر دهه هفتاد به چاپ رسیده و شاید این کتاب را در اوایل دهه هشتاد به دوهزار تومان خریداری کرده باشم .
همانگونه که از نام آن پیداست مجموعه حکایت هایست درخور که گاه فراموش کرده ایم.
این اثر ارزشمند گردآوری شد…
به قول استاد اسلامی ندوشن:
وقتی با حيوانات سر و کار نداشته باشید، صدای مرغ و گوسفند نشنوید، جان را در جسمِ جُنبندگان تماشا نکنید، اندک اندک روحِ شما چرم میشود. به این علّت است که شهرنشینان غالباً عبوس و تُرشرو هستند و تا پای نفعی در کار نباشد چهرهشان باز نمیشود.
در بعضی از شهرها پارکهای زیبایی درست شده، ولی این تصنّع است، خود را به طبیعتِ برهنه و بیغش سپردن چیز دیگری است.
ما گمشدهای داریم و خودمان هم نمیدا…
♻️دکتر مصطفی ملکیان از علی شریعتی خشمگین است. میگوید شما یک سخنرانی از علی شریعتی معرفی کنید که او در سخنانش یک جمله معرفتبخش به شما بیفزاید.
به گمان من، اگر مقصود ملکیان این باشد که سخنرانیهای شریعتی غالباً بیش از آنکه واجد استدلالهای دقیق فلسفی و معرفتشناختی باشند، سرشار از خطابه، تفسیر، استعاره، شورآفرینی و دعوت به کنشاند، این انتقاد قابل بررسی و دفاع است.
اما اگر مقصود این باشد که در مجموعه سخنرانیهای ش…
♻️گوسفندان ؛
شخصیتی در رمان قلعه حیوانات با ویژگیهایی ملموس در همین نزدیکی ها ؛
در هر حکومتی یک سری از افراد وجود دارند که بدون تفکر و بدون اینکه هیچ پیش زمینه ای نسبت به درک خواست حاکمیت داشته باشند از آن حمایت می کنند.
گوسفندان در رمان مزرعه ی حیوانات تنها شعار دهنده هایی هستند که بدون هیچ تفکری شعار میدهند گویی حکومت ها برای بقای خودشان نیاز به این چنین افرادی دارند که بدون هیچ تفکری فقط از آنها حمایت کنند.
…
♻️عمری که از بچه ها می سوزانند
یک دانشجو برای ادامه تحصیل و گرفتن دکترا همراه با خانواده اش عازم استرالیا شد. در آنجا پسر کوچک شان را در یک مدرسه استرالیایی ثبت نام کردند تا او هم ادامه تحصیلش را در سیستم آموزش این کشور تجربه کند...
روز اوّل که پسر از مدرسه برگشت، پدر از او پرسید:
پسرم تعریف کن ببینم امروز در مدرسه چی یاد گرفتی؟
پسر جواب داد: امروز درباره خطرات سیگار کشیدن به ما
گفتند و بحث کردیم، خانم معلّم برایما…
♻️تمثیلی برای درک نظامات سوسیالیستی،
از قضا مورچه بود که هر روز صبح زود سرکار حاضر می شد و بلافاصله کار خود را شروع می کرد.
مورچه خیلی کار می کرد و تولید زیادی داشت و از کارش راضی بود.
سلطان جنگل (شیر) از فعالیت مورچه که بدون رئیس کار می کرد، متعجب بود.
شیر فکر می کرد، مورچه که می تواند بدون نظارت این همه تولید داشته باشد، به طور مسلم اگر رئیسی داشته باشد، تولید بیشتری خواهد داشت.
بنابراین شیر یک سوسک را که تجرب…
محمد رشید میگوید:
آدم دانا که برای جامعه ای نادان مجاهدت میکند مانند کسی است که خودش را آتش میزند تا روشنایی را برای آدم نابینا فراهم سازد!!
اين همان حكايت سقراط است كه ويل دورانت در پايان داستانش وقتی او را جام شوكران می دهند و می كشند، می گويد:
« بدا به حال آدمی كه بخواهد جامعه ای را پيش از آن كه موعد بيدار شدنش فرا رسيده باشد، بيداركند!»
#قلمـبیداری
http://t.me/darvishane49
♻️ چرا آمار کتابخوانی
در کشورمان بسیار پائین است❓
خلاصه ای از ۲۰ پاسخ به این پرسش را برایتان آورده ایم!
۱- کتاب نمیخوانیم زیرا “نیاز”ی به کتاب احساس نمیکنیم
۲- کتاب نمیخوانیم زیرا از شک کردن در پایه های نظری مان می “ترس” یم
۳- کتاب نمیخوانیم چون کتاب خواندن کار “سخت” ی است
۴- کتاب نمیخوانیم چون دچار “تنبلی و بی حالی” هستیم
۵- کتاب نمیخوانیم زیرا “احساس می کنیم” به قله های یقین رسیده ایم
۶- کتاب نمیخوانیم زیر…
♻️غرامت جنگ جهانی دوم
گر بر سر نفس خود امیری ابرقدرتی ...
پس از جنگ جهانی دوم آلمان و ژاپن بعنوان آغازگران جنگ ، موظف به پرداخت غرامت شدند ، اما این غرامتها محدود و بیشتر به شکل انتقال داراییهای صنعتی ، کار اجباری و توافقات سیاسی بود.
شوروی بیشترین سهم را از غرامت آلمان دریافت کرد و کارخانهها و تجهیزات زیادی را به خاک خود منتقل کرد.
▪️طبق تصمیمات کنفرانس یالتا و پوتسدام (۱۹۴۵) آلمان موظف شد غرامت به چهار قدر…
♻️چرا میگوییم «بزنم به تخته»؟
عبارت «بزنیم به تخته» فقط یک تکیهکلام نیست؛ ریشه آن به هزاران سال پیش و باورهای باستانی برمیگردد. مردم قدیم اعتقاد داشتند ارواح درختان میتوانند از انسان در برابر بدشانسی، چشمزخم و نیروهای منفی محافظت کنند.
به همین دلیل پس از صحبت درباره خوششانسی یا موفقیت، به چوب ضربه میزدند تا از این ارواح کمک بگیرند.
با گسترش مسیحیت، این رسم از بین نرفت؛ بلکه معنای مذهبی پیدا کرد و به لمس چوب…
♻️" مَن عامل رعیتهَ بالظلم اَزالَ الله مُلکهُ وعَجَّل بَوارّهُ وهُلَکَه"
( غررالحکم ح ۸۷۴۰،دانش نامه امیرالمومنین ج۴).
"کسی که با شهروندان خویش به ستم پیشه کند خداوند حکومتش را به تلاشی ونابودی برده وسقوط وهلاکت اورا تسریع می کند"
این سنت خداوند در منظومه هستی است وسنت خداوند هرگز تغییر نمی کند.( ولن تجد لسنت الله تبدیلا).
#قلمـبیداری
http://t.me/darvishane49
❤20👌11👍8
Showing the 12 most recent of 129 posts we hold for @darvishane49. 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
@darvishane49 edited 2 posts 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
31 August 2026
Most recent edit
8 November 2026
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 8 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.
Handles this channel named that no longer answer
Dead references
2
handles named in this channel’s posts, vacant today
Evidenced gone
0
we ourselves saw one of these resolve, at some point
Never seen alive
2
vacant every time we have ever looked
@darvishane49 named 2 handles that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
@darvishsne49 named in 3 posts, 21 August 2026 – 26 August 2026
@darvishane4 named in 1 post, 11 November 2026 – 11 November 2026
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.
ژیوا @ZhiwaChannel · 19,043 Telegram ranks this channel #50 of 69 here — alongside 68 others — read 3 October 2026
جمع مدیران نامدار ایران @excellentmanagers · 27,182 Telegram ranks this channel #52 of 93 here — alongside 92 others — read 11 September 2026
گلچين @bavarh · 78,490 Telegram ranks this channel #60 of 93 here — alongside 92 others — read 19 August 2026
شبکه خبری بازنشستگان @bazneshasteganirani · 84,792 Telegram ranks this channel #70 of 88 here — alongside 87 others — read 18 August 2026
This channel appears in 4 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 14 November 2026 — this
entry's latest reading, not the date you are reading this.
“قلم بیداری” (@darvishane49), 13,326 subscribers as measured 14 November 2026. Telegram Register, tgregister.com/channel/darvishane49.
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.