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Channel

توییتر دانشگاه شیراز

@shirazu_twitter

On this record: Topic · Observations · Also posting the same content · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Telegram's recommendations · Cite this entry

16,081subscribers

+208 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001257872200
TypeChannel
Username@shirazu_twitter
Descriptionارسال اخبار و اطلاعیه ها: @Ghasemi_Fatemeh مسائل صنفی: @Shirvani_Saeed تبلیغات و تبادل: @shirazu_ad کافه سؤال و ثبت اطلاعیه: @shzuni_group پیج اینستاگرام Instagram.com/shiraz_university_
CreatedBetween 1 March 2018 and 31 July 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live16 August 2026
Measurements held11
Confirmed unchanged1 time, most recently 16 August 2026
On Telegramt.me/shirazu_twitter

Topic

Local community — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 10 August 2026 and assigned it the closest of 31 fixed categories, at 95% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and why it has no browse page of its own yet.

Observations

These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.

Content that also appears on other registered channels

Posts published here appear word for word on 1 other registered channel. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.

Matching posts — open both and compare (6 of the pairs behind the counts below)
Posted firstThenOverlapGap
@shirazu_twitter/20120 · this entry31 Jul 2026, 17:27 UTC@shirazu_news/265731 Jul 2026, 17:29 UTC1.0072 seconds
@shirazu_news/26623 Aug 2026, 19:30 UTC@shirazu_twitter/20131 · this entry3 Aug 2026, 19:32 UTC1.002 minutes
@shirazu_news/26664 Aug 2026, 19:32 UTC@shirazu_twitter/20134 · this entry4 Aug 2026, 19:33 UTC1.0072 seconds
@shirazu_twitter/20143 · this entry6 Aug 2026, 18:38 UTC@shirazu_news/26746 Aug 2026, 18:51 UTC0.9913 minutes
@shirazu_twitter/20141 · this entry6 Aug 2026, 10:25 UTC@shirazu_news/26726 Aug 2026, 13:57 UTC0.973.5 hours
@shirazu_twitter/20118 · this entry31 Jul 2026, 12:14 UTC@shirazu_news/265631 Jul 2026, 13:20 UTC0.9765 minutes
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@shirazu_news6 (6/6 hand-verifiable sample passed)0.9922 minutesthis entry (42)

Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.

What this cannot establish

MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.

Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. None of the 2 matches recorded here fall after that date, so for this entry we cannot say whether any of them carried a credit. The duplication is measured; the absence of attribution is not.

“Published first” means first in this corpus. We hold 23 comparable posts for this entry, running 30 July 2026 to 7 August 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.

The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.

  • Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
  • 'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
  • shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
  • Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).

Across the whole group of 2, the earliest publisher we hold is @shirazu_twitter — which is this entry. That is a statement about our reading window, not a claim of authorship.

Recorded under the key clone_source, last confirmed 7 August 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.

Also posting the same content

This channel’s posts match, word for word or near enough, posts on 1 other registered channel, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.

Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.

Growth

15,87216,08115,976.56 August 2026 — 15,873 subscribers6 August 2026 — 15,872 subscribers7 August 2026 — 15,881 subscribers8 August 2026 — 15,886 subscribers9 August 2026 — 15,884 subscribers10 August 2026 — 15,923 subscribers11 August 2026 — 15,975 subscribers12 August 2026 — 16,005 subscribers14 August 2026 — 16,033 subscribers15 August 2026 — 16,049 subscribers16 August 2026 — 16,081 subscribers6 August 202616 August 2026
11 measurements spanning 11 days, net +208. 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 15,841–16,112 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
16 Aug 2026, 19:0416,081+32
15 Aug 2026, 05:3416,049+16
14 Aug 2026, 00:3616,033+28
12 Aug 2026, 17:2216,005+30
11 Aug 2026, 19:5715,975+52
10 Aug 2026, 20:4815,923+39
9 Aug 2026, 18:1515,884-2
8 Aug 2026, 16:2115,886+5
7 Aug 2026, 19:2015,881+9
6 Aug 2026, 15:5515,872-1
6 Aug 2026, 05:4915,873first reading

Engagement

79 posts held, back to 30 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 23 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
24.0%
avg views ÷ 16,081 subscribers
Avg views / post
3,860
74 posts measured
Reaction rate
67.7%
reactions ÷ views · ER floor
Posts in window
79
of 79 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 71 of 74 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 16 August 2026
Posts held79 (30 July 202616 August 2026)
Views total285,936
Reactions total188,085
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken16 Aug 2026, 21:40 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.

What this channel posts

Photos
6,880
Videos
712
Links
2,640

Lifetime counters from Telegram’s own channel header, read 16 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.

Video runtime
4m 10s
Average length
1m 03s

Measured directly from 4 videos 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.

Reaction mix

187,873 reactions across 62 posts, in 6 distinct kinds. The most used accounts for 61.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
😁114,54561.0%
💔71,46638.0%
1,0250.546%
👍3500.186%
👎3210.171%
😍1660.088%

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 71 of the 79 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 188,085reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 79 most recent posts we hold, published 30 July 2026 to 16 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.

Recent posts

16 Aug 2026, 15:34 UTC886 views3 reactionsread 16 August 2026
Forwarded from @arakucsaPhoto

تابستون امسال برنامه‌نویسی رو اصولی شروع کن! 🚀 بوت‌کمپ پروژه‌محور برای یادگیری Python از صفر تا ساختن یک پایه‌ی حرفه‌ای برای ورود به دنیای تکنولوژی. 📚 سرفصل‌های کلی • Algorithms & Flowcharts • Variables & Data Types • Conditional Statements • Loops & Iterations • Functions & Modular Programming • Error Handling (Try / Except) • Data Structures • File Handling • Regular Expressions (Regex) • Object-Oriented Program

2👍1

16 Aug 2026, 13:31 UTC≈1,680 views4 reactionsread 16 August 2026
Photo

🟣پذیرش کارشناسی ارشد استاد محور دانشگاه تهران 🔹دانشگاه تهران برای سال تحصیلی ۱۴۰۵-۱۴۰۶ از میان دانشجویان ورودی سال ۱۴۰۱ دانشگاه تهران و سایر دانشگاه‌های مشمول این فراخوان که در زمره ۲۰ درصد برتر رشته و ورودی خود قرار دارند، نسبت به پذیرش بدون آزمون اقدام خواهد نمود. 🔹️این پذیرش صرفاً در رشته‌هایی از مقطع کارشناسی ارشد که پذیرش آن‌ها از طریق آزمون سراسری صورت می‌گیرد و مورد تأیید گروه آموزشی ذیربط قرار گرفته‌اند، ان

4

16 Aug 2026, 09:56 UTC≈1,810 views7 reactionsread 16 August 2026
Forwarded from @shirazu_newsPhoto

🟡اطلاعیه تکمیلی فرم هم اتاقی ویژه دانشجویان پسر مقطع کارشناسی خوابگاه های سطح شهر 🆔@shirazu_news

💔32😁2

16 Aug 2026, 05:25 UTC≈2,380 views8 reactionsread 16 August 2026

‏🟣 توزیع کارت کنکور از فردا 🔹کارت‌ شرکت در آزمون‌ سراسری و آزمون اختصاصی پذیرش دانشجو-معلم سال ۱۴۰۵ از فردا بر روی سایت سازمان سنجش آموزش کشور قرار می‌گیرد. 🆔@Shirazu_Twitter

💔52😁1

15 Aug 2026, 17:15 UTC≈3,130 views52 reactionsread 16 August 2026

🟣 وزارت علوم: امتحانات ترم تابستانی حضوری برگزار می‌شود! 🔹️ امتحانات دروس ارائه‌شده در ترم تابستان باید به‌صورت حضوری برگزار شود و برگزاری مجازی آن ممنوع است. برای کاهش مشکلات رفت‌وآمد و اسکان، امکان شرکت دانشجویان در امتحانات حضوری در محل سکونت خود نیز فراهم خواهد شد. 🆔@Shirazu_Twitter

💔33😁10👍9

15 Aug 2026, 16:32 UTC≈2,600 views10 reactionsread 16 August 2026
Forwarded from @shirazu_newsPhoto

🟡 آغاز اجرای آزمایشی «تغذیه نوین» در دانشگاه علامه 🔹 معاونت دانشجویی دانشگاه علامه از آغاز اجرای محدود طرح پایلوت «تغذیه نوین» برای دانشجویان ساکن خوابگاه‌های تابستانی خبر داد. بر اساس این طرح، دانشجویان واجد شرایط با استفاده از یارانه صندوق رفاه و پرداخت سهم خود می‌توانند از خدمات تغذیه دانشگاه بهره‌مند شوند و وعده‌های غذایی خود را مطابق برنامه اعلام‌شده در سامانه مربوطه رزرو کنند. این طرح به‌صورت محدود و تا زمان ف

💔62👍2

15 Aug 2026, 15:32 UTC≈2,670 viewsread 16 August 2026
Photo

🟡پیشنهاد ویژه برای مسافران عزیز اتوبوس 🚌 شرکت اروباس با بهره‌گیری از ناوگان مدرن و وارداتی و همواره تلاش می‌کند سفری آرام، راحت و باکیفیت را برای مسافران عزیز خود فراهم کند. 🎉 از این پس امکان پرداخت اقساطی هزینه سرویس اتوبوس ،جهت رفاه بیشتر مسافران، طریق اسنپ پی نیز فعال شده است. 👈همین حالا عضو کانال آرو شو👇 @arobus_ir

15 Aug 2026, 08:31 UTC≈2,810 views0 reactionsread 16 August 2026
Photo

خوره‌ سریال هستی؟ 🎬🍿 اگه تو هم بعضی شبا تا صبح بیداری که فقط «یه قسمت دیگه» رو ببینی، جای درستی اومدی! داریم رو یه تحقیق جذاب کار می‌کنیم تا بفهمیم ما نسل زدی‌ها چطوری تو دنیای سریال‌ها غرق می‌شیم. پر کردنش کمتر از ۱۰ دقیقه وقتتو می‌گیره، ولی کمک خیلی بزرگی به من می‌کنه. بین کسانی که تا آخر جواب بدن، به قید قرعه ۳ تا اکانت سه‌ماهه نماوا/فیلیمو یا اسپاتیفای (به انتخاب خودتون) هدیه داده می‌شه. بیا ببینیم چقدر سریال

14 Aug 2026, 19:32 UTC≈2,740 views4 reactionsread 16 August 2026
Photo

اکانت Gemini Pro با دسترسی کامل به فیچرهای پلن پرو با وارانتی ۷ روزه ✨ امکانات این پلن: 🔹 امکان اضافه کردن ۵ نفر به پلن 🔹 دسترسی به مدل Gemini 3.1 Pro و دیگر مدل‌ها 🔹 دسترسی به Deep Research و Deep Search و قابلیت‌های Agentic در Google Search 🔍 🔹 دسترسی به Google AI Studio 🛠️ 🔹 ساخت تصویر با مدل‌های Nano Banana Pro و دیگر 🎨 🔹 دسترسی به ابزار Google flow 🌊 🔹 امکان ساخت ویدیو با مدل‌های Veo و Omni در جمینای 🎥 🔹 دسترس

4

14 Aug 2026, 13:45 UTC≈3,040 views211 reactionsread 16 August 2026
Photo

هوالباقی بازگشت همه به سوی اوست🖤 خبر تلخ درگذشت دانشجوی گرامی‌مان، شادروان «فاطمه زهرا حسینی»، دانشجوی کارشناسی دانشکده کشاورزی و از دانشجویان فعال و مؤثر در عرصه‌های فرهنگی دانشگاه شیراز، که بر اثر سانحه‌ی تصادف، به دیار باقی شتافت، خانوادهٔ بزرگ دانشگاه را در سوگ فروبرد. توییتر دانشگاه شیراز، این ضایعه‌ی اندوه‌بار را به خانوادهٔ محترم ایشان و همهٔ ارکان دانشگاه تسلیت عرض می‌نماید. برای آن مرحومه، از خداوند متعال

💔2017😁2👍1

14 Aug 2026, 06:33 UTC≈3,600 views8 reactionsread 16 August 2026
Photo

گروه راهنمای انتخاب اتاق خوابگاه ایجاد شد🏠 سلام به همه مخاطبان عزیز👋 🔹️با توجه به درخواست‌های شما و سوالاتی که در زمینه خوابگاه ها داشتین، این گروه ایجاد شد🌹 🔹️ می‌تونین با مراجعه به این گروه در خصوص خوابگاه‌ها، اتاق‌ها، شماره اتاق ها، ظرفیت‌ها و... سوال بپرسین تا دوستانی که اطلاعاتی در این زمینه دارند و تجربه بیشتری دارن، راهنمایی‌ تون کنند🤗🤝 🔹️لینک گروه: https://t.me/shzuni_group/379584 #خوابگاه #هم_اتاقی ✅️ت

7👍1

Showing the 12 most recent of 79 posts we hold for @shirazu_twitter. 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 — 178,475 of 1,481,243entries 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

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 4 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.

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.

Appears in Telegram’s recommendations for other channels

The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.

اطلاع‌رسانی دانشجویی
@ettela_daneshjoyi · 110,885
Telegram ranks this channel #29 of 80 here — alongside 79 others — read 14 August 2026

This channel appears in 1 seed channel's Telegram-generated recommendation list in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.

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 16 August 2026 — this entry's latest reading, not the date you are reading this.

“توییتر دانشگاه شیراز” (@shirazu_twitter), 16,081 subscribers as measured 16 August 2026. Telegram Register, tgregister.com/channel/shirazu_twitter.

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.