2 measurements taken within a single day. 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 949–951 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
7 Aug 2026, 23:17
950
no change
7 Aug 2026, 03:03
950
first reading
Engagement
19 posts held, back to 12 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
29.7%
avg views ÷ 950 subscribers
Avg views / post
282
5 posts measured
Reaction rate
3.57%
reactions ÷ views · ER floor
Posts in window
5
of 19 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. It is computed over the 3 of 5 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 27 July 2026
Posts held
19 (12 December 2025 – 27 July 2026)
Views total
1,409
Reactions total
33
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
7 Aug 2026, 03:03 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
159 reactions across 16 posts, in 20 distinct kinds. The most used accounts for 30.2% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
48
30.2%
🤣
28
17.6%
🔥
21
13.2%
🗿
11
6.92%
👌
9
5.66%
🆒
6
3.77%
😁
6
3.77%
🤯
5
3.14%
🍓
4
2.52%
💔
4
2.52%
🤩
4
2.52%
🏆
2
1.26%
👍
2
1.26%
💯
2
1.26%
🕊
2
1.26%
❤🔥
1
0.629%
👾
1
0.629%
💊
1
0.629%
😱
1
0.629%
🥴
1
0.629%
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 16 of the 19 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 159reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 19 most recent posts we hold, published 12 December 2025 to 27 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.
🧠 چرا آمار پایهی یادگیری ماشینه؟
ممکنه فکر کنی یادگیری ماشین فقط با کد، دیتا و مدلهای پیچیده سر و کار داره؛ اما در قلب تمام اینها، آمار و ریاضیات نشستن — مثل اسکلت یک ساختمان که شاید دیده نشه، اما همه چیز رو نگه میداره.
🎯 آمار دقیقاً کجاها به کار میاد؟
1. پیشپردازش دادهها (Data Preprocessing)
میانگین، میانه و انحراف معیار برای درک پراکندگی داده
نرمالسازی و تشخیص دادههای پرت (outliers)
بدون اینها، …
تولید محتوا با هوش مصنوعی خوبه، ولی بلدی ازش پول دربیاری؟ 💸
خیلیها کار با هوش مصنوعی رو بلدن، اما تعداد کمی میدونن چطور این مهارت رو به پول تبدیل کنن! 😌
توی دوره جدید ما، علاوه بر یادگیری تولید محتوا با هوش مصنوعی، تمام روشهای درآمدزایی و پروژه گرفتن از این راه رو هم بهت یاد میدیم. 🚀
🛑 ظرفیت دوره محدوده!
برای ثبتنام و مشاوره رایگان، همین الان کلمه «هوش» رو به آیدی زیر بفرست:
🆔 @novelway2
آدرس کانال مجموعه ما…
بسمهتعالی
استاد گرانقدر، سرکار خانم دکتر زهره شیشهبر
ارتقای ارزشمند جنابعالی به مرتبهی استادی را صمیمانهترین تبریکات و شادباشهای خود را به حضورتان تقدیم میداریم.
این موفقیت ارزشمند، حاصل سالها تلاش علمی، پشتکار بیوقفه و نقش مؤثر حضرتعالی در ارتقای کیفیت آموزش و پژوهش در دانشکدهی علوم دانشگاه شیراز است؛ دستاوردی که نه تنها مایهی مباهات همکاران و دانشجویان، بلکه افتخاری بزرگ برای جامعهی علمی کشور به شمار…
📣 انجمن علمی آمار دانشگاه قم برگزار میکند:
📊 دوره جامع آموزش صفر تا صد اکسل (Excel)
👨🏫 مدرس: مهندس پرویز قلندری
🗓 زمان برگزاری: ۱۰، ۱۲، ۱۴، ۱۷ و ۱۹ مرداد
⏰ ساعت: ۱۹:۰۰ تا ۲۱:۰۰
💻 محل برگزاری: Adobe Connect (همراه با ضبط تمامی جلسات)
💳 هزینه ثبتنام: ۲۵۰ هزار تومان
🎓 همراه با ارائه گواهی حضور در دوره
🟣 سرفصلهای دوره:
✔️ آشنایی کامل با محیط اکسل و نوار ابزار (Ribbon)
✔️ مدیریت و ویرایش دادهها
✔️ تنظیمات صفح…
انجمن علمی AI و IoT دانشگاه شیراز و انجمن زیست شناسی دانشگاه شیراز با همکاری دیگر انجمن ها برگزار میکند:
🧪 دوره جامع آموزشی GraphPad Prism 📊
👨🏫 مدرس :
دکتر محمدباقر شاهسونی
• فارغالتحصیل رشته زیستشناسی سلولی و مولکولی دانشگاه شیراز
• پژوهشگر پسادکتری مرکز تحقیقات بیوشیمی و بیوفیزیک (IBB) دانشگاه تهران
🗓️ زمان برگزاری:
دوشنبه ۷ و ۸ و ۹ مرداد
🕕 ساعت: ۱۸:۰۰
📍 محل برگزاری:
آنلاین
http://vroom.shirazu.ac.ir/elm…
📌اطلاعیه برگزاری ترم تابستانی 1405
بدینوسیله به اطلاع دانشجویان محترم کارشناسی میرساند، بر اساس موافقت هیات رئیسه محترم دانشگاه شیراز، ترم تابستانی 1405 دانشگاه شیراز با نظارت و اجرای پردیس بین الملل دانشگاه (کلاسها بصورت مجازی و امتحانات بصورت حضوری) برگزار خواهد شد.
متن کامل اطلاعیه، برنامه زمانبندی و دروس ارائه شده و .. در فایل پیوست میباشد
📊@shustats انجمن علمی آمار دانشگاه شیراز
True education should question assumptions, challenge dogma, and inspire curiosity, not enforce blind memorization or mediocrity.
- Bertrand Russell
#کوت
📊@shustats انجمن علمی آمار دانشگاه شیراز
📌 اطلاعیه
ربات تأمین منابع آموزشی که طی روزهای اخیر با اختلال مواجه بود، پس از رفع مشکل، مجدداً فعال شد.
دانشجویان گرامی میتوانند از این پس برای دسترسی به منابع، از طریق لینک زیر اقدام کنند:
@shirazu_stats_resourse_bot
📊@shustats انجمن علمی آمار دانشگاه شیراز
بیانیه انجمن علمی آمار دانشگاه شیراز در خصوص احتمال مجازیسازی ترم آینده
در پی انتشار اخباری درباره احتمال برگزاری ترم آینده بهصورت مجازی، انجمن علمی آمار دانشگاه شیراز نگرانی عمیق خود را نسبت به این تصمیم اعلام میدارد. تجربه سالهای گذشته نشان داده است که آموزش مجازی، بهویژه در رشتههایی مبتنی بر تعامل علمی، بحث کلاسی و فعالیتهای تحلیلی، موجب افت کیفیت آموزش و تضعیف فرآیند یادگیری میشود.
دانشگاه صرفاً بستر ان…
💡 انواع الگوریتم های خوشه بندی پارت یک
1️⃣ خوشهبندی تفکیکی (Partitional Clustering)
این روشها دادهها را به K خوشه مجزا تقسیم میکنند، به طوری که هر نقطه دقیقاً به یک خوشه اختصاص یابد. هدف معمولاً حداقل کردن یک معیار شباهت درون-خوشهای یا حداکثر کردن معیار تفاوت بین-خوشهای است. چند تا از الگوریتمهای رایج:
الگوریتم K-Means:
⦁ تعداد خوشهها (K) را مشخص میکنیم.
⦁ تعداد K نقطه را به صورت تصادفی به عنوان مراک…
👍2💯2❤1🤣1
Showing the 12 most recent of 19 posts we hold for @shustats. 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 — 566,619 of 1,169,250entries 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
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
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.
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 آمار دانشگاه شیراز” (@shustats), 950 subscribers as measured 7 August 2026. Telegram Register, tgregister.com/channel/shustats.
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.