Channel
@amirbakhtiari2
On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry
135subscribers
+2 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1002697735008 |
|---|---|
| Type | Channel |
| Username | @amirbakhtiari2 |
| Created | Between 1 April 2025 and 31 July 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 9 August 2026 |
| Last confirmed live | 13 August 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 1 time, most recently 13 August 2026 |
| On Telegram | t.me/amirbakhtiari2 |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 13 Aug 2026, 07:17 | 135 | +2 |
| 9 Aug 2026, 00:16 | 133 | no change |
| 6 Aug 2026, 15:47 | 133 | first reading |
15 posts held, back to 8 August 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 8 August 2026 |
|---|---|
| Posts held | 15 (8 August 2026 – 8 August 2026) |
| Views total | 299 |
| Reactions total | 42 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 9 Aug 2026, 00:16 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.
42 reactions across 15 posts, in 3 distinct kinds. The most used accounts for 95.2% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 40 | 95.2% | |
| 👍 | 1 | 2.38% | |
| 🔥 | 1 | 2.38% |
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 15 of the 15 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 42reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 15 most recent posts we hold, published 8 August 2026 to 8 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.
پیام ناشناس نقد مقاله بالا درباره این موضوع جدید توی چنل از نظر ساختار و ارجاع به نظریهها نسبتاً مرتب نوشتی و سعی کردی از دو تا افراط فاصله بگیری. تا اینجا اوکی. ولی نتیجهگیری و جهتگیریت به نظرم مشکل داره. تو مدام روی این تأکید میکنی که خیلی از تفاوتهای زن و مرد ساختهی فرهنگ هستن و ذاتی نیستن. بعد نتیجه میگیری که خیلیهاشون رو میشه تغییر داد یا کمرنگ کرد. من این منطق رو قبول ندارم. به نظر من تفاوتهای زن …
❤2
diyār🐆 راستش من از خواندن این متن خیلی خوشحال شدم. چیزی که برای من ارزشمند بود این بود که متن صرفاً یک موضعگیری درباره سنت یا جنسیت نبود؛ تلاش کرده بود یک چارچوب نظری نسبتاً منسجم بسازد و برای رسیدن به آن، چندین نظریه و پژوهش معتبر را کنار هم گذاشته بود تا هسته اصلی تز خودش را شکل بدهد. من واقعاً به این افتخار میکنم که بین لُرگرها آدمهایی هستند که برای یک موضوع اینقدر وقت میگذارند، مقاله و پژوهش میخوانند، منا…
❤2🔥1
با تشکر از هِریم زیستشناسی تفاوتهایی ایجاد میکند؛ فرهنگ به این تفاوتها معنا میدهد؛ ساختار اجتماعی آنها را در قالب نقش سازماندهی میکند؛ افراد این نقشها را از طریق یادگیری و تعامل روزمره بازتولید میکنند؛ برخی از این الگوها به کلیشه و هنجار تبدیل میشوند؛ برخی دیگر به نماد و هویت فرهنگی بدل میشوند. بنابراین مسئله اصلی نه «تفاوت یا عدم تفاوت» بلکه تمایز میان تفاوت، نقش، نماد، ایدهآل، کلیشه و اجبار است. فرهنگ…
❤4
زن و مرد تفاوتهای زیستی واقعی دارن انسانها این تفاوتها رو از طریق فرهنگ معنی میکنن،فرهنگ برای زن و مرد نقشها و نمادهایی میسازه ك بعضی از این نمادها کلیشههای محدودکنندهاند و بعضی دیگه هم بخشی از هویت فرهنگی میشن و شاید مهمترین نکته همین باشه: اینكه یك چیز ذاتا زنانه یا مردانه نیست به این معنی نیست ك نباید زنانه یا مردانه باشه و برعکس،اینکه یك چیز در یك فرهنگ زنونه یا مردونه شده هم به این معنی نیست كه حتما باید …
❤3
حتی مفهوم مردونگی هم یك چیز ثابت و جهانی نیست و این یکی از نکات مهم Anthropological gender studies است ما نباید دربارۀmasculinity طوری حرف بزنیم ك انگار در تموم تاریخ یک تعریف ثابت داشته،مردونگی در فرهنگهای مختلف میتونه از چیزهای متفاوتی ساخته بشه: در یك جامعه قدرت بدنی مهمتره در یك جامعه دانش در یك جامعه توانایی جنگیدن در یك جامعه ثروت در جامعۀ دیني ایي مثل اسلام هم،تقوا •مفهوم Hegemonic masculinity،دوباره اهمیت د…
❤3
دکتر عبدی: «خیبر یک نماد اجتماعی برای لرتباران است» #خیبر_لرتباران 🟢|@kheybarfans1
❤5👍1
چرا حذف همۀ تفاوتهای جنسیتی میتونه پیامد داشته باشه؟ میتونم با اطمینان بیشتر بگم كه اگه یك جامعه به صورت گسترده کدهای جنسیتی،نقشهای جنسیتی و نمادهای جنسیتی خودش رو بازتعریف كنه،معنای فرهنگی زن و مرد هم تغییر میکنه و این تغییر چند پیامد احتمالی مهم داره ٱول:تغییر Gender schema اگر نسل جدید تقریبا هیچ تفاوت فرهنگی مشخصی بین زنونه و مردونه یاد نگیره،طبیعی است كه Schemaهای جنسیتی اونها هم متفاوت بشه(به نظرم یك فاجعهس…
❤2
•Precarious Manhood یکی از مفاهیمی كه به نظرم برای فهم مردونگی خیلی مهمهPrecarious manhood theory است Joseph vandello و Jennifer bosson و همكاراشون مطرح كردن ك در خیلی از فرهنگها،مردونگی یك موقعیت اجتماعی نسبتا شكنندهست،یعنی چیزی ك باید به دست بیاد و اثبات بشه و ممکنه دوباره مورد سؤال قرار بگیره،در خیلی از جوامع،برای مرد بودن فقط داشتن بدن مردونه کافی نیست،فرد باید بعضی ویژگیها رو هم به نمایش بذاره مثل:استقلال،توا…
❤2
Sandra Bem و Gender Schema Theory یکی از نظریههای مهم،Gender schema theory است كSandra bem در سال ۱۹۸۱ مطرح كرد،بِن پیشنهاد كرد ك انسانها فقط اطلاعات رو یاد نمیگیرن،بلکه اطلاعات مربوط به زن و مرد رو از طریق یك سری چارچوبهای ذهنی یا Schemas سازماندهی میکنن اینSchema ها به ما کمك میکنن انسان بفهمه ك: ۱این رفتار معمولا زنونه به حساب میاد ۲این رفتار معمولا مردونه به حساب میاد ۳من خودم رو چطور تعریف میکنم ۴این رفتار ب…
❤3
وقتی مردان آرایش میکردند؛ تاریخ زیبایی مردانه در شرق آسیا تصور امروزی ما از «مردانگی» و «زیبایی مردانه» تا حد زیادی محصول فرهنگ معاصر است. اگر به تاریخ شرق آسیا نگاه کنیم، میبینیم که در دورههایی مردان اشراف، جنگجویان، درباریان و حتی برخی شخصیتهای مذهبی، نهتنها به ظاهر خود اهمیت میدادند، بلکه از پودر صورت، عطر، روغن مو، رنگهای آرایشی و دیگر ابزارهای زیبایی استفاده میکردند. آرایش در این جوامع الزاماً نشانه زنا…
❤2
Photo, posted without a caption
❤2
Photo, posted without a caption
❤1
Showing the 12 most recent of 15 posts we hold for @amirbakhtiari2. 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 — 49,207 of 1,481,306entries 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 1 registered channel — 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 13 August 2026 — this entry's latest reading, not the date you are reading this.
“میر مات MIR MAT” (@amirbakhtiari2), 135 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/amirbakhtiari2.
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.