Other / unclassifiable — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 9 September 2026 and assigned it the closest of 31 fixed categories, at 69% 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 the other topics.
Growth
61 measurements spanning 92 days, net +6,350. 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 27,348–35,607 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 61
Measured (UTC)
Subscribers
Change
6 Nov 2026, 07:29
34,654
+61
5 Nov 2026, 05:41
34,593
+146
4 Nov 2026, 04:20
34,447
-38
3 Nov 2026, 07:17
34,485
-11
2 Nov 2026, 04:58
34,496
+200
1 Nov 2026, 01:18
34,296
+265
31 Oct 2026, 01:39
34,031
-17
30 Oct 2026, 02:17
34,048
-18
29 Oct 2026, 04:01
34,066
-2
28 Oct 2026, 01:17
34,068
+147
27 Oct 2026, 02:08
33,921
+26
26 Oct 2026, 01:47
33,895
+105
24 Oct 2026, 23:01
33,790
+85
23 Oct 2026, 21:55
33,705
+48
22 Oct 2026, 21:49
33,657
+159
21 Oct 2026, 15:35
33,498
+262
20 Oct 2026, 15:35
33,236
-25
19 Oct 2026, 18:40
33,261
+26
18 Oct 2026, 16:29
33,235
+52
17 Oct 2026, 13:29
33,183
first reading
Engagement
112 posts held, back to 17 July 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 172 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
22.4%
avg views ÷ 34,654 subscribers
Avg views / post
7,770
32 posts measured
Reaction rate
0.247%
reactions ÷ views · ER floor
Posts in window
32
of 112 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 6 November 2026
Posts held
112 (17 July 2026 – 6 November 2026)
Views total
248,580
Reactions total
614
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
6 Nov 2026, 19:38 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
180
Videos
5
Links
165
Lifetime counters from Telegram’s own channel header, read 6 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
Video runtime
14s
Average length
14s
Measured directly from 1 video 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
3,042 reactions across 110 posts, in 23 distinct kinds. The most used accounts for 32.5% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
988
32.5%
😭
445
14.6%
👍
393
12.9%
💔
301
9.89%
🤣
260
8.55%
🤬
188
6.18%
👎
187
6.15%
😢
87
2.86%
🤯
64
2.10%
👌
29
0.953%
😍
22
0.723%
👏
19
0.625%
🥱
10
0.329%
🤔
8
0.263%
🗿
7
0.23%
😁
7
0.23%
🙏
6
0.197%
🔥
5
0.164%
🥴
5
0.164%
😡
4
0.131%
3 further kinds
7
0.23%
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 112 of the 112 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 3,131 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 112 most recent posts we hold, published 17 July 2026 to 6 November 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
Telegram’s own ‘edited’ marker: 4 of 32 posts held from the last 30 days (12.5%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
۵۱۸ ایرانی در گزارش ۲۰ ساله Erasmus Mundus 🎓
برنامه Erasmus Mundus Joint Masters شامل دورههای مشترک کارشناسی ارشد در چند دانشگاه اروپایی است. دانشجو معمولا در بیش از یک کشور درس میخواند و در پایان مدرک مشترک یا چند مدرک دریافت میکند.
🔹 گزارش ۲۰ ساله برنامه برای ایران ۹۹ بورسیهگیر در دوره ۲۰۰۴ تا ۲۰۰۸، ۹۶ نفر در ۲۰۰۹ تا ۲۰۱۳، ۲۷۰ نفر در ۲۰۱۴ تا ۲۰۲۰ و ۵۳ نفر در دادههای ۲۰۲۱ تا ۲۰۲۳ ثبت کرده است. جمع این چهار دو…
بعد از ثبت آنلاین اقامت تحصیلی فنلاند چه میشود؟ 🇫🇮
درخواست اقامت تحصیلی فنلاند از طریق سامانه Enter Finland ثبت میشود. بعد از ارسال آنلاین، متقاضی اولین مجوز اقامت باید برای اثبات هویت و بررسی اصل مدارک مراجعه حضوری داشته باشد.
🔹 تمکن اعلامشده برای دانشجو در سال ۲۰۲۶ حداقل ۸۰۰ یورو در ماه است. برای دوره یکساله یا طولانیتر، هنگام درخواست باید ۹,۶۰۰ یورو برای سال اول در حساب موجود باشد. شهریه جدا محاسبه میشود، …
تغییر کارفرما و کار دوم با ویزای Skilled Worker 🇬🇧
ویزای Skilled Worker به شغل و اسپانسر مشخص وابسته است. تغییر کارفرما یا رفتن به شغلی با occupation code متفاوت معمولا به بهروزرسانی ویزا پیش از شروع کار جدید نیاز دارد.
🔹 اگر فرد در همان شغل بماند و آن شغل از Immigration Salary List حذف شود، فقط به همین دلیل لازم نیست دوباره درخواست بدهد.
🔸 در مسیر معمول، حقوق باید دستکم ۴۱,۷۰۰ پوند در سال یا Going Rate همان کد …
ویزای تحصیلی لهستان | National D، مدارک legalized و recognition مدرک 🇵🇱
برای تحصیل بلندمدت در لهستان، معمولا National D visa مطرح میشود. در پروندههای ایران، مشکل خیلی وقتها خود پذیرش نیست، آماده نبودن مدارک ایرانی با شکل مورد انتظار سفارت است.
🔹 مدارک پایه
صفحه سفارت لهستان در ایران برای D-Type National Visa روی فرم e-Konsulat، پاسپورت معتبر، عکس، بیمه، مدارک مالی و مدارک هویتی تاکید دارد. برای ایرانیها، شناسنا…
تقویم اپلای دانشگاههای ایتالیا 🇮🇹 | ورودی پاییز ۲۰۲۷
پذیرش سال تحصیلی ۲۰۲۷–۲۰۲۸ در تعدادی از دانشگاههای ایتالیا شروع شده!
🔸 دانشگاههای ایتالیا معمولا پذیرش دانشجویان بینالمللی رو در چند مرحله یا «کال» انجام میدن که هر کدوم ددلاین مشخصی داره. اقدام در کالهای اولیه اهمیت بیشتری داره، چون معمولا فرصت بیشتری برای بررسی بورسیه، آمادهسازی مدارک و طیکردن مراحل ویزا وجود داره.
🟢 پذیرشهای باز:
• پادووا (Padua): تا…
ایمیل بعد از سابمیت | یادآوری پرونده و پرسیدن وضعیت اپلیکیشن 📩
بعد از submit کردن اپلیکیشن، مخصوصا اگر قبلش با استاد مکاتبه داشتهاید، یک ایمیل کوتاه میتواند مفید باشد. هدفش یادآوری پرونده است، نه اصرار برای نتیجه.
🔸 نمونه بعد از سابمیت:
Dear Professor [Last Name],
I hope you are doing well. I wanted to let you know that I have submitted my application for the PhD program and listed your name as a potential supe…
مستر ریاضی فرانسه | اپلیکیشن PGSM یا FMJH جدا از پذیرش دانشگاه 🇫🇷
برای مسترهای ریاضی فرانسه، مخصوصا مسیرهای M1 و M2، فقط پیدا کردن برنامه کافی نیست. باید ببینید funding از کجا میآید و آیا اپلیکیشن اسکالرشیپ جدا از اپلیکیشن دانشگاه است یا نه.
🔹 برنامههایی مثل PGSM و فاندهای FMJH برای دانشجویان بینالمللی میتوانند مسیر مهمی باشند، اما معمولا فرم، ددلاین و انتخاب برنامههای هدف خودشان را دارند.
🔸 یک نکته گیجکننده…
اپلای پژوهشی کانادا | نقش supervisor در MSc thesis و PhD 🇨🇦
در کانادا، مخصوصا برای MSc thesis-based و PhD، نقش supervisor را دستکم نگیرید. بعضی برنامهها بدون استاد هم پرونده را بررسی میکنند، اما در عمل داشتن استاد علاقهمند میتواند مسیر را خیلی روشنتر کند.
🔸 قبل از اپلای ببینید پروگرم از شما نام استاد میخواهد یا نه. بعضی دانشگاهها صریحا میگویند باید supervisor پیدا کنید، بعضیها فقط پیشنهاد میکنند، و بعضی…
دکتری CUHK هنگکنگ | تفاوت studentship دانشگاه و HKPFS 🇭🇰
در هنگکنگ، خیلیها اسم فاندها را یکی میکنند، اما studentship دانشگاه و HKPFS یک چیز نیستند.
🔹 در بعضی برنامههای پژوهشی CUHK، دانشجو با آفر میتواند studentship دانشگاهی داشته باشد. این معمولا حمایت پایه دپارتمان یا دانشگاه است و با آفر همان برنامه جلو میرود.
🔸 اما HKPFS اسکالرشیپ رقابتی هنگکنگ است و مسیر جدا دارد. اول باید از مسیر رسمی HKPFS اقدام کنید…
دکتری Cambridge Engineering | آفر علمی، فاند و ATAS 🇬🇧
در دکتریهای پژوهشی کمبریج، گرفتن support استاد مهم است، اما فاند همیشه همزمان با آفر حل نمیشود. ممکن است دپارتمان از نظر علمی شما را بخواهد، ولی funding هنوز رقابتی یا در حال بررسی باشد.
🔸 برای Engineering، موضوعهایی مثل research proposal، supervisor fit و زبان باید قبل از سابمیت جدی گرفته شود. بعضی پروندهها با آفر مشروط جلو میروند و بعد باید conditionها ک…
❤6👍6👌1👎1
Showing the 12 most recent of 112 posts we hold for @Sharifi_Manesh. 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.
Posts edited after publishing
@Sharifi_Manesh edited 15 posts after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
First edit seen
7 August 2026
Most recent edit
6 November 2026
Posts recorded as deleted after publishing
We recorded 14 posts on @Sharifi_Manesh as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.
A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.
First seen missing
7 August 2026
Most recent seen missing
1 November 2026
Median time before seen missing
6 days
Seen missing in the last 30 days
3
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 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.
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 6 November 2026 — this
entry's latest reading, not the date you are reading this.
“گروه مهاجرتی «شریفیمنش»” (@Sharifi_Manesh), 34,654 subscribers as measured 6 November 2026. Telegram Register, tgregister.com/channel/Sharifi_Manesh.
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.