4 measurements spanning 6 days, 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 1,649–1,651 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
12 Aug 2026, 03:25
1,651
+2
8 Aug 2026, 23:14
1,649
-1
6 Aug 2026, 07:19
1,650
no change
6 Aug 2026, 00:40
1,650
first reading
Engagement
19 posts held, back to 21 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 2 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
9.63%
avg views ÷ 1,651 subscribers
Avg views / post
159
1 post measured
Reaction rate
0.629%
reactions ÷ views · ER floor
Posts in window
1
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.
What these figures were computed from
Window
Rolling 30 days · latest post in window 30 July 2026
Posts held
19 (21 December 2025 – 30 July 2026)
Views total
159
Reactions total
1
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
7 Aug 2026, 17:52 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
293 reactions across 17 posts, in 9 distinct kinds. The most used accounts for 31.4% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
92
31.4%
💔
88
30.0%
🔥
84
28.7%
👎
19
6.48%
👍
3
1.02%
😍
3
1.02%
💯
2
0.683%
😁
1
0.341%
🤩
1
0.341%
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 17 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 293reactions 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 21 December 2025 to 30 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.
♾ فراخوان جذب اعضای تیم مسابقات ریاضی دانشگاه خوارزمی ♾
به اطلاع دانشجویان مقطع کارشناسی علاقهمند به ریاضیات میرساند، انجمن علمی ریاضی دانشگاه خوارزمی در راستای تشکیل تیم دانشگاه برای چهل و هشتمین مسابقه ریاضی دانشجویی، اقدام به برگزاری جلسه معارفه، آشنایی و حل مسئله میکند.
از تمامی دانشجویان علاقهمند دعوت میشود تا در فرآیند انتخابی تیم حضور یابند. اعضای تیم مسابقات، پس از ارزیابی مهارت حل مسئله و عملکرد شرکت…
🟣 صفر و یک، نشریه علمی-دانشجویی علوم کامپیوتر دانشگاه خوارزمی تقدیم میکند
☀️آنچه در ویژهنامه بزرگداشت خوارزمی میخوانید:
⚙️ الگوریتمهای نامرئی
⚠️ خطاهای الگوریتمها
🧠 شبکههای عصبی مصنوعی
🚀 آینده الگوریتمها
دریافت از کانال تلگرام صفر و یک
#ویژه_نامه
#بزرگداشت_خوارزمی
#تابستان_۱۴۰۵
➖️➖️➖️➖️➖️➖️➖️➖️➖️➖️
@CS_KHU | انجمن علمی علوم کامپیوتر
@SefrOYekPub | نشریه صفر و یک
فراخوان تحریم کلاسهای مجازی
با توجه به بیتوجهی مسئولان دانشگاه به مطالبات دانشجویان ـ که بهصورت شفاف در نظرسنجیها، درخواستها و بیانیههای مکرر مطرح شده است ـ بدین وسیله مجمع انجمنهای علمی دانشگاه خوارزمی اعلام میدارد که تمامی کلاسهای مجازی را تحریم کرده و در اعتراض به این روند، دانشجویان در کلاسهای مجازی شرکت نخواهند کرد.
مجمع انجمنهای علمی دانشجویی دانشگاه خوارزمی
وقتی جوانی میرود،
فقط یک نفر کم نمیشود؛
بخشی از نفسِ این سرزمین میایستد.
کشتهشدنِ دردناکِ ساغر سیفاللهیفرد، دانشآموخته رشته مهندسی مکانیک دانشگاه خوارزمی را
به مردم داغدار ایران به ویژه خانواده داغدار و دوستانش و جامعه دانشگاهی تسلیت میگوییم؛
ما داغداریم؛ عمیق، بیصدا، مشترک.
یادش در قلبِ ما جاودان میماند. 🖤
مجمع دبیران انجمنهای علمی دانشجویی دانشگاه خوارزمی
تلخ است که نامِ یک دانشآموخته را به جای خبرِ موفقیتها و آیندهاش، با خبرِ رفتنش بشنویم.
ما دبیران مجمع انجمن های علمی-دانشجویی دانشگاه خوارزمی کشتهشدن سحر فلاح، دانشآموختهی ورودی ۹۸ رشته مدیریت بیمه دانشگاه خوارزمی را تسلیت میگوییم و با خانوادهی محترم ایشان و دوستانش ابراز همدردی میکنیم.
روحش شاد و یادش روشن🖤
مجمع انجمن های علمی دانشجویی دانشگاه خوارزمی
بیانیه مجمع دبیران انجمن های علمی-دانشجویی دانشگاه خوارزمی
این بیانیه،دعوت به یادآوری است. یادآوریِ اینکه هیچ جامعهای با خاموشکردن صداها آرام نمیشود؛ آرامش، از عدالت میآید. یادآوریِ اینکه سوگ، اگر دیده نشود، به کینه بدل میشود؛ و امید، اگر مجال نداشته باشد، به خاموشی میگراید.
ما با ادای احترام به جانباختگان و همدردی با خانوادههای داغدار، و با تکیه بر مسئولیت اخلاقی و مدنی خود، خواهان آنیم که هموطنان بازداشت…
#Quiz_Time
🚨 ساعت نزدیک ۳ بامداد بود که لاگها پر شدند از پیامهای عجیب. یکی از اسکریپتهای پایتونی که ظاهرا فقط باید با چند تا لیست ساده کار میکرد، رفت توی حالت «رفتار غیرقابلپیشبینی».
برنامهنویس جونیور تازهوارد برای بهینهسازی، هم از aliasing استفاده کرده بود، هم از deepcopy، و وسطش هم تصمیم گرفته بود با یک iterator و walrus operator کار رو شیکتر کنه.
حالا سوال اینجاست:
آیا مقدار min پیدا میشه؟
شرط if اجرا…
تو واقعاً پایتون رو بلدی؟ یا فقط داری کد کپی میکنی؟
اگه کدت کار میکنه ولی سریع نیست، اگه پروژههات با بزرگ شدن میپاشه، پس هنوز یک لایه عمیقتر از پایتون رو جا انداختی.
این دوره، پایانِ مرحله "کدزن معمولی" و شروع "توسعه دهنده واقعی" شدنه.
دوره پروژه محور پایتون پیشرفته (Advanced Python) | ۲۰ ساعت فشرده
🔍 مباحث اصلی :
Python Internals، Generator، OOP & Design Patterns، Decorator، Profiling، Async/Await و Unit …
💡توابع بازگشتی تو پایتون از اون مفاهیمیه که هر برنامهنویسی باید بلد باشه 👨💻
شاید تا الان فقط اسمشو شنیدی یا میخواستی که یاد بگیری؛ این متنو بخون تا ببینی توابع بازگشتی چی هستند و چجوری ساخته میشن ...
🔍 در درجه اول اصلا تابع چیه و چه کاربردی داره؟
🔍 تابع بازگشتی چیه و چطور میتونیم توابع بازگشتی خودمون رو بسازیم؟
🔍 از چه قاعدهای پیروی کنیم تا تابعمون به مشکل بر نخوره؟
همهی این کاربردها رو به صورت کوتاه و مفید…
🌿 انجمن بیوشیمی دانشگاه خوارزمی برگزار میکند:
کارگاه آنلاین
💰آموزش ابزار های هوش مصنوعی و تولید محتوا💰
🔤مناسب برای همه افراد و بدون نیاز به پیشزمینه 🔤
➖➖➖➖➖➖➖➖➖➖➖➖
🎙 سخنران:
✅ سرکار خانم فاطمه کریمی خوزانی
• دانش آموخته رشته ژنتیک
• رتبه ۲۶ کنکور دکتری وزارت علوم
• عضو بنیاد ملی نخبگان
• مدرس دانشگاه
• مدرس مهارت های پژوهشی
• پژوهشگر برتر، نویسنده و مولف کتاب
• کارشناس دیجیتال مارکتینگ
• مدرس دوره های هو…
Showing the 12 most recent of 19 posts we hold for @cs_khu. 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.
Polls
The 2 polls we hold for this entry, as Telegram rendered them when we read the post. A poll’s figures keep moving after that, so each one is dated.
Shares as published. No per-option vote count is published by Telegram, so none is shown.
Percentages only — there are no per-option vote counts here, because Telegram publishes none.The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.
The shares need not add up to 100.Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.
Read from the 19 most recent posts we hold, published 21 December 2025 to 30 July 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.
Citation-graph rank
Citation-graph rank — 705,366 of 1,160,990entries 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
Named by 5 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.
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 12 August 2026 — this
entry's latest reading, not the date you are reading this.
“انجمن علمی علوم کامپیوتر دانشگاه خوارزمی” (@cs_khu), 1,651 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/cs_khu.
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.
