Channel
@schabname
On this record: Topic · Observations · Also posting the same content · Growth · Engagement · Posts · Citations · Cite this entry
1,154subscribers
-5 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
| Telegram ID | -1001274509988 |
|---|---|
| Type | Channel |
| Username | @schabname |
| Created | 14 January 2018 — measured — cross-checked against a third-party dataset (ext.tg_channel) |
| First recorded | 6 August 2026 |
| Last confirmed live | 12 August 2026 |
| Measurements held | 4 |
| Confirmed unchanged | 1 time, most recently 12 August 2026 |
| On Telegram | t.me/schabname |
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 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 why it has no browse page of its own yet.
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.
Posts published here appear word for word on 1 other registered channel. They sit inside a group of 3 channels that share the same post bodies with each other. 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.
| Posted first | Then | Overlap | Gap |
|---|---|---|---|
| @NoAvaMedia/55731 Jul 2026, 01:52 UTC | @schabname/14893 · this entry31 Jul 2026, 05:53 UTC | 1.00 | 4.0 hours |
| @schabname/14894 · this entry31 Jul 2026, 05:53 UTC | @NoAvaMedia/5591 Aug 2026, 18:21 UTC | 1.00 | 36 hours |
| @schabname/14895 · this entry31 Jul 2026, 05:54 UTC | @NoAvaMedia/5601 Aug 2026, 18:21 UTC | 1.00 | 36 hours |
| @schabname/14896 · this entry31 Jul 2026, 05:54 UTC | @NoAvaMedia/5611 Aug 2026, 18:21 UTC | 1.00 | 36 hours |
| @schabname/14897 · this entry31 Jul 2026, 05:54 UTC | @NoAvaMedia/5621 Aug 2026, 18:21 UTC | 1.00 | 36 hours |
| @schabname/14904 · this entry4 Aug 2026, 22:16 UTC | @NoAvaMedia/5675 Aug 2026, 17:48 UTC | 0.99 | 20 hours |
| Channel | Matching posts | Text overlap | Typical gap | Published first |
|---|---|---|---|---|
| @NoAvaMedia | 6 (6/6 hand-verifiable sample passed) | 1.00 | 36 hours | this entry (5–1) |
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 1 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 13 comparable posts for this entry, running 29 July 2026 to 5 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.
Across the whole group of 3, the earliest publisher we hold is @left_forum. That is a statement about our reading window, not a claim of authorship.
Recorded under the key clone_mutual, 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.
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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 12 Aug 2026, 12:43 | 1,154 | -2 |
| 9 Aug 2026, 05:02 | 1,156 | -3 |
| 6 Aug 2026, 09:05 | 1,159 | no change |
| 6 Aug 2026, 05:43 | 1,159 | first reading |
15 posts held, back to 29 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 1 pageof 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 7 of 15 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 5 August 2026 |
|---|---|
| Posts held | 15 (29 July 2026 – 5 August 2026) |
| Views total | 2,785 |
| Reactions total | 20 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 6 Aug 2026, 09:05 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.
اقدام مشترک تشکل های مستقل زنان یک بحث آزاد پیرامون "زنان، پیشگامان مبارزه برای لغو اعدام" در تاریخ ۱۶ اوت ساعت ۱۸ بوقت اروپای مرکزي، ساعت ۲۰:۳۰ به وقت ایران و ساعت ۹ صبح به وقت کاليفرنيا برگزار میکنند. از شما که مبارزه علیه اعدام، لغو مجازات اعدام، محو سیستم زندان و شکنجه را از اساسی ترین قدم برای رسیدن به جامعه ای برابر و بدون تبعیض می دانید، دعوت می کنیم در بحث شرکت کنید. قدرت ما در جمع ماست نه به مجازات اعدام ژ…
چرا جمهوری اسلامی به اعدام های روزانه دست می زند؟ وقتی اعدام ها تکرار می شود و از 2 به 20 و 200 و بیش تر می رسد ترس ایجاد می کند و به دنبال ترس سکوت حاکم و تدریجا اعدام ها عادی می شود. و جامعه هر روز منتظر اعدام می ماند. اعدام ها خبر می شود و به صورت خبر در جامعه انعکاس پیدا می کند. " بازهم دو نفر، 10 نفر و ... ترس در یک طرف همراه با سکوت غم و غصه ایجاد می کند و جامعه را به افسردگی می کشاند. در طرف دیگر طبقه ی حاکم، …
نه به جنگ نه به میلیتاریسم نه به جمهوری اعدام ژن، ژیان، ئازادی
اسپانیا به طور رسمی خبر داد: بیشتر مهاجران به مراکش بازگشتند! پیرو اعلام وزارت کشور اسپانیا از میان بیش از پنجاه هزار مهاجری که وارد برونبوم سبته شده بودند، هماکنون تنها ۱۷۰۰ تن در آنجا باقی ماندهاند. روزنامهی پرتیراژ اسپانیایی "ال پائیس" به نقل از این وزارتخانه گزارش داد که تا ساعت ۱۸ روز جمعه ۳۱ ژوئیه ۲۰۲۶، برابر با ۹ مرداد ۱۴۰۵، بیش از ۴۸ هزار و ۳۰۰ تن، سبته را به مقصد کشور مراکش ترک کردهاند. به گفتهی خوزه…
تراز- برنامهی هفتم #عباس_هاشمی پس از ۴۷ سال برای ما سخن میگوید، از توده و نوتودهایهای طرفدار جمهوری اسلامی، تا اشتباهات انقلابیون در بزنگاه ۵۷ عباس هاشمی عضو سازمان چریکهای فدایی خلق و مسئول ستاد شوراهای ترکمنصحرا در جنگ فروردین ۵۸ با سپاه بوده است. او به صراحت و بیپرده از خطاهای اساسی چپ میگوید. ویدیوی مصاحبه را در یوتیوب هیدرا ببینید. @hydramediairan
نه به اعدام: جلد دوم ـ بررسیهای نظری، نگاهها، سندها یادداشتهایی پیرامون مجازات اعدام مرگ، همیشه خاموش نمیآید. گاهی با صدایی رسمی از راه میرسد؛ با زبانی خشک و بیلرزش و با امضایی که زیر یک حکم نشسته است. در چنین لحظهای، نه تقدیر سخن میگوید و نه طبیعت؛ در چنین لحظهای قانون و مرگ به یکدیگر رسیده اند؛ لحظهای که قانون به زبان درآمده و در پوشش کلمهای خشک، تصمیم گرفته یک زندگی باید پایان یابد و «مجرم» از بنیادی…
کتاب هماندیشی چپ: نه به اعدام جلد دوم: بررسیهای نظری، نگاهها، سندها سرفصلهای این جلد: * بررسیهای نظری دربارهی #اعدام * نگاهها * سندها متن کامل جلد دوم در پیام بعدی: https://t.me/left_forum/296 👇🏾 * * * * * * * * * کانال یوتیوب و کانال تلگرام #هماندیشیـچپ.
جلد نخست: سياست سرکوب و وحشتآفرينی در ايران بخشی از پیشگفتار: جمهوری اسلامی در نزدیک به پنج دهه از وجود فاجعهبار خود بالاترین مقامهای ننگین جهانی را در زمینهی #اعدام در اختیار دارد: * شمار اعدامها: رتبهی دوم (پس از چین)؛ * سرانهی اعدام: رتبهی نخست؛ * اعدام کودکان: رتبهی نخست؛ * اعدام زنان: رتبهی نخست. .... شمار کل اعدامها که در ۲۰۲۵ به بالاترین میزان پس از کشتار ۱۳۶۷ رسید، در نیمهی نخست…
کتاب هماندیشی چپ: نه به اعدام جلد نخست: سياست سرکوب و وحشتآفرينی در ايران سرفصلهای این جلد: * اعدام در ایران: آمار، قانون، پیشینه * کشتار ۱۳۶۷ * #اعدام در ادبیات متن کامل جلد نخست در پیام بعدی: https://t.me/left_forum/294 👇🏾 * * * * * * * * * کانال یوتیوب و کانال تلگرام #هماندیشیـچپ.
فراخوان تجمع اعتراضی در سیدنی ما بر این باوریم که راه رهایی ایران، نه از مسیر ویرانگر جنگ و دخالتهای نظامی خارجی میگذرد و نه با استمرار حاکمیت این رژیم استبدادی محقق میشود. ما صدای مستقل مردم ایران هستیم و قاطعانه اعلام میکنیم: • نه به تجاوز نظامی و نابودی زیرساختهای کشور! • نه به جنگ! • توقف فوری اعدامها و سرکوب داخلی! • نه به جمهوری اسلامی! صدای مستقل خیابانهای ایران باشیم! زمان: یکشنبه ۲ آگوست | ساعت ۳:۰۰ ت…
فایل پی.دی.اف #ترجمه دولت قانونمدار برای چه کسی؟ (نگاهی به خاستگاههای تاریخی فاشیسم) نویسنده: رائول زلیک ترجمه: امین حصوری ۸ مرداد ۱۴۰۵ لینک مطلب در وبسایت کارگاه دیالکتیک: https://kaargaah.net/?p=1751 ------------------ @kdialectic
#ترجمه دولت قانونمدار برای چه کسی؟ (نگاهی به خاستگاههای تاریخی فاشیسم) نویسنده: رائول زلیک ترجمه: امین حصوری ۸ مرداد ۱۴۰۵ از منظر سنت رادیکال سیاه، فاشیسم تداوم همان پروژهی استعماریِ جامعه بورژوا–لیبرال است. در سال ۱۹۶۶ «جیلو پونتهکوروُ»، کارگردان ایتالیایی، با ساخت فیلم سینمایی «نبرد الجزایر» اثری را به سینما آورد که تا به امروز همچون جستاری دربارهی مسالهی استعمار بهشمار میرود. در یکی از صحنههای …
Showing the 12 most recent of 15 posts we hold for @schabname. 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 — 268,980 of 1,151,006entries 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.
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 7 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.
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.
“Shabnameh شبنامه” (@schabname), 1,154 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/schabname.
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.