Politics & activism — 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 11 August 2026 and assigned it the closest of 31 fixed categories, at 95% 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.
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 word for word on 2 other registered channels. 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)
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 22 comparable posts for this entry, running 8 July 2026 to 6 August 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).
Across the whole group of 3, the earliest publisher we hold is @irantalk_sn — which is this entry. That is a statement about our reading window, not a claim of authorship.
Recorded under the key clone_source, last confirmed 7 August 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.
Also posting the same content
This channel’s posts match, word for word or near enough, posts on 2 other registered channels, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.
Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.
15 measurements spanning 42 days, net +747. 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 4,407–5,378 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
17 Sept 2026, 06:21
5,266
+36
13 Sept 2026, 01:57
5,230
+82
9 Sept 2026, 03:36
5,148
+42
3 Sept 2026, 21:19
5,106
+102
31 Aug 2026, 13:32
5,004
+46
28 Aug 2026, 14:54
4,958
+158
25 Aug 2026, 05:43
4,800
+13
22 Aug 2026, 06:15
4,787
+36
19 Aug 2026, 04:56
4,751
+48
15 Aug 2026, 20:26
4,703
+39
12 Aug 2026, 06:52
4,664
+44
9 Aug 2026, 11:06
4,620
+73
6 Aug 2026, 13:52
4,547
+28
6 Aug 2026, 04:02
4,519
no change
6 Aug 2026, 01:46
4,519
first reading
Engagement
23 posts held, back to 8 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 7 pages of Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 23 posts for this entry, the most recent from 9 August 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
23m 12s
Average length
1m 22s
Measured directly from 17 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
555 reactions across 21 posts, in 11 distinct kinds. The most used accounts for 43.6% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
242
43.6%
👍
226
40.7%
👎
67
12.1%
🤬
6
1.08%
👌
3
0.541%
😁
3
0.541%
🙏
3
0.541%
🤣
2
0.36%
🌚
1
0.18%
👏
1
0.18%
😍
1
0.18%
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 23 of the 23 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 607 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 23 most recent posts we hold, published 8 July 2026 to 9 August 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.
دستکاری کردن جامعه ممنوع!
محمدرضا جوادی یگانه استاد جامعهشناسی در دانشگاه تهران است و شمار زیادی از پژوهشهای اجتماعی مفصل درباره جامعه ایرانی انجام داده است. وی اعتقاد دارد که بخش زیادی از مسائل اجتماعی ایران محصول دستکاری کردن جامعه توسط حکومت است. وی حتی انقلاب اسلامی ایران سال ۱۳۵۷ را هم محصول همین دستکاری حکومت میداند.
دیدن گفتوگو
https://youtu.be/t1VMLEgrdKU
ایشان معتقد است اگر جامعه توسط حکومت دستکاری نش…
ایران را چه کنیم؟ روش حل مسائل ایران
میلاد منشیپور بیشتر به فعال اقتصاد و بنیانگذاری شرکت #تپسی شناخته شده است، اما سابقه چندین سال فعالیت در شرکتهای بینالمللی مشاوره مدیریت بزرگ را هم دارد. او در این گفتوگو توضیح میدهد که با چه روشی و بر اساس چه مراحلی میتوان مسأله ایران امروز را بررسی و طرحی برای حل مسأله ارائه کرد.
دیدن گفتوگو
https://youtu.be/7SFaiwGRq6U
میلاد منشیپور از نبودن سازوکارهای مؤثر تصمیمگ…
در مدرسه چه خبر است؟
یکی از مباحثی که در گفتوگو با #نوید_کلهرودی مطرح شد، تحولات در مدرسه و آموزش است. گفتوگویی که در آن وضعیت جوانان و نوجوانان و نسبت آنها با ایران امروز بررسی شد.
دیدن گفتوگو
https://youtu.be/uTgpuFA6Iq8
#نوید_کلهرودی #نسل_زد #دهه_هشتادی #دهه_هفتادی
@Irantalk_sn
نسل جوان و جمهوری اسلامی: از نفی و انکار تا پیچیدگی
جمهوری اسلامی ایران گویی در برابر نسل جدید شگفتزده شده است. کثری از نسل دهه هشتادیها و دهه نودیها، انگار از جمهوری اسلامی بریدهاند و در جهان دیگری سیر میکنند. این نسل جدید چگونه فکر میکند؟ دنیایش و آرزوهایش و ادراکش از این دنیا چیست؟ تحولات اخیر چه تغییری در رویکردهای این نسل ایجاد کرده است؟
دیدن گفتوگو
https://youtu.be/uTgpuFA6Iq8
نوید کلهرودی دکتری علوم …
ایران و آمریکا: پایان راهبرد نه جنگ و نه صلح
ولی نصر در کتاب «بر لبه تنهایی: روایت کلانراهبرد امنیت ملی ایران» تلاش کرده منطق امنیتی و راهبرد ایران برای حفظ امنیت ملی در دوران جمهوری اسلامی را آشکار کند. این راهبرد بر حفظ استقلال، آمریکاستیزی و تلاش برای بیرون کردن آمریکا از خاورمیانه بر اساس اقدامات مختلف از جمله ایجاد محور مقاومت مبتنی بوده است.
دیدن گفتوگو
https://youtu.be/rhvZRhvY-T4
نصر در این گفتوگو، کاست…
بزن به سیم آخر: راهبرد پایان دادن به جنگ
فؤاد ایزدی بیش از دو دهه در آمریکا زندگی کرده و در زمینه دیپلماسی عمومی و سیاست خارجی آمریکا هم کار کرده است. او معتقد است آمریکا در پی تغییر رفتار ایران نیست بلکه به دنبال براندازی یا تغییر ساختار درونی حکومت، به دست آوردن نفت ایران، و تضعیف کشور در سطحی است که بر منافع آمریکا تأثیرگذار نباشد.
دیدن گفتوگو
https://youtu.be/1jZpqjZ7SEA
او در این گفتوگو استدلال میکند که تن…
واقعیات اقتصاد ایران: اگر تحریمها بمانند!
حسین درودیان، قوت و ضعفهایی برای اقتصاد ایران شناسایی میکند و بر اساس همان قوت و ضعفها هم شرایط اقتصادی ایران امروز، اثر تحریمها، و فضای سیاستگذاری اقتصادی برای برونرفت از وضع فعلی را تحلیل میکند.
دیدن گفتوگو
https://youtu.be/jvtYOB8zBLY
درودیان قائل به برخی قوتها برای اقتصاد ایران هست و ناکارآمدیهای داخلی را هم مهم میداند ولی متذکر میشود که نقش تحریمها بسیار…
درست در لحظهای که برخی کافه تعطیل میکنند و مداخلات اجتماعی بیمنطق انجام میدهند، علی ربیعی از در هم آمیختگی بینظیر تاریخی مسائل اجتماعی و #امنیت_ملی میگوید.
دیدن گفتوگو
https://youtu.be/jflFnLpHAJs
@irantalk_sn
مسائل اجتماعی و امنیت ملی ایران
علی ربیعی فعال کارگری، وزیر، محقق اجتماعی، روزنامهنگاری و فعال سیاسی بودن را تجربه کرده و اکنون دستیار روابط اجتماعی #مسعود_پزشکیان رئیسجمهور ایران است. ربیعی به اتکای همه این تجارب، شناخت بهروز و منسجمی از جامعه ایران دارد و در این گفتوگو #مسائل_اجتماعی ایران را تحلیل میکند.
دیدن ویدیو
https://youtu.be/jflFnLpHAJs
علی ربیعی نشان میدهد که در هیچ مقطعی از تاریخ معاصر، مسائل اجت…
رحمان قهرمانپور در این گفتوگو روابط ایران و آمریکا بر محور جنگ و تفاهم اسلامآباد را تحلیل میکند.
دیدن ویدیو
https://youtu.be/SlX_NzH7h24
چگونه استفاده کردن از فرصتها در دنیای بیثبات مهم است.
@Irantalk_sn
❤17👍4👎1
Showing the 12 most recent of 23 posts we hold for @irantalk_sn. 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 29 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. The 24 listed below are the most frequent namers; the rest are counted above but not each listed.
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.
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 17 September 2026 — this
entry's latest reading, not the date you are reading this.
“ایران تاک | IranTalk” (@irantalk_sn), 5,266 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/irantalk_sn.
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.