Photo, posted without a caption
👍2❤1

Channel
@surxealburz
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
129subscribers
+1 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1001729619642 |
|---|---|
| Type | Channel |
| Username | @surxealburz |
| Created | Between 1 December 2021 and 30 April 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 9 August 2026 |
| Last confirmed live | 15 August 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 1 time, most recently 15 August 2026 |
| On Telegram | t.me/surxealburz |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 15 Aug 2026, 07:14 | 129 | +1 |
| 9 Aug 2026, 01:47 | 128 | no change |
| 7 Aug 2026, 12:07 | 128 | first reading |
14 posts held, back to 31 May 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.
| Window | Rolling 30 days · latest post in window 6 August 2026 |
|---|---|
| Posts held | 14 (31 May 2026 – 6 August 2026) |
| Views total | 101 |
| Reactions total | 15 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 9 Aug 2026, 01:47 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.
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.
27 reactions across 9 posts, in 5 distinct kinds. The most used accounts for 51.9% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 14 | 51.9% | |
| 👍 | 8 | 29.6% | |
| 🔥 | 3 | 11.1% | |
| 👌 | 1 | 3.70% | |
| 🙏 | 1 | 3.70% |
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 9 of the 14 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 27reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 14 most recent posts we hold, published 31 May 2026 to 6 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.
Photo, posted without a caption
👍2❤1
Photo, posted without a caption
❤3
پشت پرده طرح بلند مرتبه سازی در گیلان :حقیقت تلخی که نباید نادیده گرفته شود! رشد بیرویه و غیرمتعارف ساختوسازهای بلندمرتبه و برجسازی در مازندران و حالا به زودی گیلان مدتهاست که به بحرانی جدی تبدیل شده است.بسیاری تلاش میکنند این پدیده را با دلایلی مثل توسعه شهری،کمبود زمین یا مدرنسازی توجیه کنند؛ اما واقعیت ماجرا چیز دیگری است. انتقال و اسکان مازاد جمعیت ایران به گیلان و مازندران هدف اصلی از این هجوم ساختوساز…
❤2👍1
گاهشماری قدیم گیلان و آغاز سال نو در نیمه مرداد. طبق گاهشماری قدیم گیلان، نیمه مرداد ماه آغاز سال نوی دیلمی است.آغاز سال نوی دیلمی با برگزاری آیین ها خاص همراه بود. در سالیان گذشته در مناطق مختلف گیلان و مازندران تا حدود طالقان و الموت و تمام اراضی دیلمستان تاریخی در نیمه مرداد برگزار می شد. « بَل» در لفظ مردم کوهستان یا «وَل» در تلفظ جلگه گیلان ، به معنی شعله ی آتش بوده و نورز بل به معنی شعله ی آتش نوروزی است.…
🔥3❤2👌1
https://t.me/GiLAN_WAR/10
نقطه اصلی این نیست که آیا یک جنبش از جنبش دیگری تاثیر گرفته یا نه. مسئله این است که چه کسی حق تعریف واقعیت را برای خود قائل میشود. در سنت فوکویی قدرت فقط از طریق سرکوب عمل نمیکند؛ بلکه از طریق تولید دانش و تعیین جایگاه سوژهها عمل میکند. وقتی یک مرکز فرهنگی یا ملی ادعا میکند که کنش زنان افغانستان «امتداد»، «شاخه»، «زیرمجموعه» یا «میراث» اوست، در واقع صرفا یک گزاره تاریخی بیان نمیکند؛ بلکه یک رژیم حقیقت تولید می…
منبع متن بالا: https://www.instagram.com/p/DZhtDZ0CIsj/ استعمار روایت و خشونت معرفتی از همبستگی ادعایی تا استیلای گفتمانی: سلب عاملیت از زنان افغانستان در روایتهای مرکزگرا @surxealburz
❤1👍1
https://t.me/causasuinova/232
👍3🙏1
۴. آسیمیلاسیون هنجاری و حذف زبان به مثابه ابزار کنترل از منظر تحلیل پسااستعماری، کنترل فیزیکی یک جغرافیا بدون کنترل هنجاری و فرهنگی آن پایدار نمیماند. ساختار متمرکز، هویت، زبان و روایت تاریخی مستقل گیلان و مازندران را به یک «فولکلور تقلیلیافته» «لهجه مضحک در رسانههای رسمی» یا «فرهنگ صرفا آشپزی» تنزل میدهد. زبان گیلکی عملا از چرخه آموزش رسمی، بوروکراسی اداری و رسانهای حذف شدهاند تا هرگونه پتانسیل همبستگی هویتی …
❤1👍1
در تحلیل اقتصاد سیاسیِ توسعه، تفاوت میان «یک دولت مستقل کوچک» و «یک منطقه پیرامونی ادغام شده در یک ساختار بزرگ و متمرکز» زمانی عیان میشود که سیستمها با بحرانهای کلان ژئوپلیتیکی، اقتصادی و زیستمحیطی مواجه میشوند. بررسی تطبیقی جمهوری گرجستان پس از استقلال و مناطق گیلان و مازندران به عنوان پیرامون جغرافیایی ایران نشان میدهد که چگونه داشتن یا نداشتن «عاملیت سیاسی» و «نهاد استقلال» سرنوشت زیستمحیطی، ساختار طبقاتی و…
❤2
موازنه بحران در تفلیس، صلب عاملیت در کاسپین؛ چرا گیلان-مازندران در سایه تنش ایران و آمریکا، گرجستان نشد؟ @surxealburz
❤2
بازتعریف هویت ملی به مثابه برند اقتصادی بحث هویت ملی نیز فراتر از جنبههای فرهنگی صرف، پیامدهای اقتصادی و نهادی دقیقی دارد. استقلال به گرجستان اجازه داد زبان، نظام آموزشی، رسانهها و روایت تاریخی خود را توسعه دهد. این موضوع صرفا مسئله حفظ میراث فرهنگی نیست؛ در جهان امروز هویت ملی یک دارایی استراتژیک است. استقلال به گرجستان این فرصت را داد تا ویژگیهای فرهنگی خود (مانند خط منحصر به فرد، میراث شرابسازی سنتی و فرهنگ م…
Showing the 12 most recent of 14 posts we hold for @surxealburz. 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.
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.
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 15 August 2026 — this entry's latest reading, not the date you are reading this.
“سۊرخ ٚ ألبۊرز | Surxe Alburz” (@surxealburz), 129 subscribers as measured 15 August 2026. Telegram Register, tgregister.com/channel/surxealburz.
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.