3 measurements taken within a single day, net -1. 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 197–198 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
7 Aug 2026, 18:24
197
-1
7 Aug 2026, 04:32
198
no change
6 Aug 2026, 23:17
198
first reading
Engagement
17 posts held, back to 18 December 2025 — 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 · 30 days
33.0%
avg views ÷ 197 subscribers
Avg views / post
65.0
2 posts measured
Reaction rate
—
this channel exposes no reaction counts
Posts in window
2
of 17 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 17 July 2026
Posts held
17 (18 December 2025 – 17 July 2026)
Views total
130
Reactions total
—
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
7 Aug 2026, 04:32 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.
Reaction mix
74 reactions across 11 posts, in 5 distinct kinds. The most used accounts for 55.4% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
41
55.4%
❤
13
17.6%
👏
7
9.46%
🔥
7
9.46%
👎
6
8.11%
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 11 of the 17 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 74reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 17 most recent posts we hold, published 18 December 2025 to 17 July 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.
🔻ادامه کپشن:
از دانشجویان علاقهمند دعوت میشود با ارسال چکیدهای ۵۰۰ تا ۱۰۰۰ کلمهای از محور های پیشنهادی(پوستر شماره۱) اعلام شده، در این رویداد علمی مشارکت کنند.
🗓 مهلت ارسال چکیده: ۳۰ مرداد ۱۴۰۵
🎙 آغاز رویداد: شهریور ۱۴۰۵
✅ به ارائهدهندگان چکیدههای پذیرفتهشده، گواهی معتبر اعطا خواهد شد.
📄 برای آشنایی بیشتر با جزئیات رویداد، پوستر شماره ۲(معرفی رویداد) را مطالعه فرمایید.
📩 جهت ارسال چکیده، از طریق شناسه تلگ…
📢فراخوان دومین دوره رویداد بیندانشگاهی «از کلاس تا کنش»
به همت جمعی از کانونهای آسیبهای اجتماعی دانشگاههای کشور و با همکاری انجمن جامعهشناسی ایران برگزار میشود:
دومین دوره رویداد بیندانشگاهی «از کلاس تا کنش: ارائههای دانشجویی پیرامون مسائل اجتماعی»
◾محور اصلی رویداد: آسیبهای نوپدید اجتماعی
📊 وضعیت گروه علوم اجتماعی دانشگاه تبریز بر اساس رتبهبندی مؤسسه تایمز در سال ۲۰۲۶
🔻علیرغم پسرفت قابل توجه همه دانشگاههای ایران در رتبهبندیهای بینالمللی، طبق رتبهبندی مؤسسه تایمز، دانشگاه تبریز با اندکی پیشرفت و حفظ رتبه، با امتیاز ۳۴/۶-۳۷/۷ در زمینه علوم اجتماعی در رتبه ۴۰۱-۵۰۰ جهان و بطور مشترک با دانشگاه تربیت مدرس و دانشگاه تهران در رتبه اول ایران قرار گرفته است. 🔺
- گفتنی است که دانشگاه تبریز در رتبهبند…
🔷 نظامهای سیاسی و جنگطلبی
🔻در حقيقت، یک ناظر بیطرف نمیتواند هیچ نظام سیاسیای را به خاطر فضائل صلحطلبانه بستاید. تجربه به ما نشان میدهد که تغییر شکل دولتها و نیز تغییر طبقه رهبری تأثیری بر خوی ستیزهجویی ملتها ندارد. حتی میتوان گفت که حکومتها به هر شکل مستبد یا آزادیخواه، اشرافی یا مردمی، سلطنتطلب یا جمهوریخواه که باشند جملگی یک وجه مشترک دارند: جملگی با جنگیدن موافقند و همه از لحاظ قتلعام مردم یکسانند…
🔷 چگونه جوامع میتوانند یکباره از آرامش کامل به آشوب کامل برسند؟
🔻مارک گرانووتر(۱۹۷۸) استدلال میکند که رفتار جمعیای مانند انقلاب، نه توسط میانگین نارضایتی جامعه، بلکه توسط توزیع دقیق آستانههای فردی تعیین میشود. هر فردی برای پیوستن به شورش یک «آستانه» (تعداد افرادی که باید پیش از او اقدام کنند) دارد و یک رفتار جمعی گسترده نیازمند یک زنجیره پیوسته از این آستانههاست که یک اثر دومینویی ایجاد کند.🔺
🔻مدل آستانه رف…
- ف. اِوالد:
...چه باید کرد و چه باید خواست؟
- میشل فوکو:
🔻نقش روشنفکر این نیست که به دیگران بگوید چه باید بکنند. روشنفکر به چه حقی میتواند چنین کند؟ و به یاد آورید تمام آن پیشگوییها، نویدها، حکمها و برنامههایی که روشنفکران در دو سدهی گذشته بیان کردند و اکنون اثرها و نتیجههایشان را میبینیم. کار روشنفکر این نیست که ارادهی سیاسی دیگران را شکل دهد؛ کار روشنفکر این است که از رهگذر تحلیلهایی که در عرصههای خاص …
بالاخره انجمن جامعهشناسی به تبریز رسید!
اینجا کانال رسمی انجمن جامعهشناسی استان آذربایجانشرقی است. از طریق این کانال و دیگر شبکههای اجتماعی انجمن میتوانید با ما در ارتباط باشید و از برنامهها، نشستها و فعالیتها باخبر شوید.
📌 راههای ارتباط با ما در دیگر شبکههای اجتماعی:
اینستاگرام: instagram.com/ISA_Tabriz
توییتر (X): twitter.com/ISA_Tabriz
یوتیوب: youtube.com/@ISA_Tabriz
ایمیل: Isa.tabriz2025@gmail.co…
📌 از اشتباهات مارگارت مید و دریک فریمن چه باید بیاموزیم؟
🔹 موقعیتمندی دانش: باید متوجه بود که جنسیت، نژاد، طبقه، گرایش سیاسی و تاریخچه زندگی محقق، نگرش او نسبت به دادهها را تعیین میکند و بر تفسیر آنها مؤثر است. در تحقیقات کیفی، عینیت محض وجود ندارد اما باید «ذهنیت آگاه» داشت. دانا هاراوی(۱۹۸۸) بیان میدارد که دانش هميشه موقعیتمند است.
🔹 قابلیت اعتماد: در این مورد اختلافنظر زیاد است اما بطور کلی یک تحقیق کیفی …
🔷 درباره مناقشه مید- فریمن
🔻مارگارت مید، دانشجوی فرانس بوآس(پدر انسانشناسی فرهنگی آمریکا) چندین ماه در جزایر ساموآ به مردمنگاری پرداخت، تحقیقات او در کتابی به نام «بلوغ در ساموآ» منتشر شد، این کتاب به سرعت در جامعه علمی مورد توجه قرار گرفت و بر سیاستگذاری آموزشی و فرهنگی آمریکا نیز تأثیر گذاشت.🔻
🔻مید در این کتاب مدعی شد که نوجوانان دختر در جزایر ساموآ بر خلاف نوجوانان آمریکایی، دچار بحران بلوغ، اضطراب و سرکوب جن…
🟩 آیین اختتامیه سیزدهمین جشنواره رویش دانشگاه تبریز
🟢 همراه با اجرای موسیقی شاد و مفرح و قرعهکشی 5 سفر به مشهد مقدس و جوایز نفیس دیگر
❇️ شنبه ششم دی ماه ساعت 12:30
✅ تالار وحدت
Showing the 12 most recent of 17 posts we hold for @socialscience_tu. 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
Citation-graph rank — 1,048,597 of 1,189,255entries 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.
Forward network
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.
Mentions
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.
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 7 August 2026 — this
entry's latest reading, not the date you are reading this.
“انجمن علمی علوم اجتماعی دانشگاه تبریز” (@socialscience_tu), 197 subscribers as measured 7 August 2026. Telegram Register, tgregister.com/channel/socialscience_tu.
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.
