Education — 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 11 August 2026 and assigned it the closest of 31 fixed categories, at 83% 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.
Views per post sit far above this size band
6,200 average views per post against 5,696 subscribers — an engagement rate of 108.9%. Across the 12,196 registered channels in the same cohort — 3,163–9,999 subscribers, posting mainly in Persian — the middle half sit between 5.65% and 23.2%, with a median of 12.0%.
What this was computed from
Window
30 days (16 July 2026 – 15 August 2026)
Posts measured
23 of 23 published in the window (21 exact, 2 rounded by Telegram)
Views totalled
142,618
Mature posts only
108.9% over 23 posts read at least 24h after publication
When this is recorded. A channel is listed here only when its engagement rate sits at or above the 99th percentile of its cohort and is at least 3× away from that cohort’s median — above it — on both the all-readings figure and the mature-only figure. The percentile alone would be circular: a percentile cut puts the same share of every cohort in the tail whatever the data looks like. The distance from the median is what makes it a statement about this channel.
This is not a verdict, and the direction is not a quality signal.A low rate has many innocent causes — audiences that read in the Telegram app without opening the channel, a subscriber base built long before the current output, an audience in a different timezone from our reading. A high rate has innocent causes too: a post that travelled far beyond the channel’s own subscribers will do it. We publish the measurement and the distribution it sits in. The full cohort baselines are downloadable, so this comparison can be reproduced rather than trusted.
Recorded under the key err_high, last confirmed 15 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.
Growth
3 measurements spanning 3 days, net -554. 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 5,611–6,346 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
12 Aug 2026, 09:25
5,696
-565
9 Aug 2026, 08:21
6,261
+11
9 Aug 2026, 07:46
6,250
first reading
Engagement
23 posts held, back to 29 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 3 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
108.9%
avg views ÷ 5,696 subscribers
Avg views / post
6,200
23 posts measured
Reaction rate
0.123%
reactions ÷ views · ER floor
Posts in window
23
of 23 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 10 August 2026
Posts held
23 (29 July 2026 – 10 August 2026)
Views total
142,618
Reactions total
176
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
12 Aug 2026, 03:23 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
176 reactions across 23 posts, in 6 distinct kinds. The most used accounts for 52.8% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
93
52.8%
👍
41
23.3%
🔥
24
13.6%
👏
10
5.68%
🤩
7
3.98%
🥰
1
0.568%
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 23 of the 23 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 176reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 23 most recent posts we hold, published 29 July 2026 to 10 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.
🎓 هزینه زندگی دانشجویی در اسپانیا🇪🇸
اسپانیا یکی از مقرونبهصرفهترین مقاصد دانشجویی اروپاست؛ بودجه ماهیانه یه دانشجو بین ۸۰۰ تا ۱,۲۰۰ یورو برآورد میشه که شامل اجاره، غذا، حملونقل و تفریحه.
🏠 مسکن
اتاق در آپارتمان اشتراکی در مادرید بهطور میانگین ۶۰۰ یورو در ماهه؛ در شهرهای کوچکتر مثل گرانادا یا سالامانکا این عدد بهطور قابلتوجهی پایینتره.
🚇 حملونقل
مادرید برای افراد زیر ۲۶ سال کارت نامحدود مترو و اتوبوس با ف…
🔗 این دوره ها رایگان، رزومهات رو قوی میکنن 💻
📌 هوش مصنوعی و کامپیوتر:
🔗 fast.ai — یادگیری عمیق کاربردی و رایگان.
🔗 Stanford CS229 — درس یادگیری ماشین استنفورد، رایگان روی یوتیوب.
🔗 Kaggle Learn — میکرودورههای کوتاه و عملی.
📌 زیستشناسی و بیوانفورماتیک:
🔗 Coursera Genomic Data Science — تخصصی و با حالت Audit رایگان.
🔗 MIT OpenCourseWare — درسهای پایهی MIT رایگان.
📌 اقتصاد و علوم اجتماعی:
🔗 Yale Financial M…
❗️ این سایتها بورسیههای روز رو بهت نشون میدن 🎓
🔗 DAAD Database: بزرگترین مرجع بورسیه و پوزیشن آلمان با فیلتر انگلیسی؛ برای ارشد و دکتری آلمان از همینجا شروع کن.
🔗 ScholarshipPortal: بورسیههای سراسر اروپا با فیلتر کشور و رشته.
🔗 Eurodesk: برنامههای حمایتی که اتحادیه اروپا برای جوونها فاند میکنه.
🔗 ProFellow: دیتابیس فلوشیپها و گرنتهای پژوهشی؛ ثبتنامش رایگانه.
🔗 Vitae: مرجع بودجههای دکتری بریتانیا.
ه…
وبینار رایگان نقشه راه طلایی اپلای تحصیلی ایتالیا 🎓✨
راهنمای کامل پذیرش، بورسیهها و ویزای تحصیلی ایتالیا در سال 2026
✔️ اگر ایتالیا مقصد شماست اما درباره مراحل پذیرش دانشگاهها، بورسیههای استانی، شرایط ویزا و هزینههای زندگی ابهام دارید، این وبینار برای شماست.
➖ در این وبینار بهصورت کاربردی و شفاف بررسی میکنیم:
🎓 بررسی شرایط پذیرش دانشگاههای ایتالیا و مقاطع مختلف
🧭 معرفی کامل بورسیههای تحصیلی و بورسیه استانی …
🌍 قصد مهاجرت تحصیلی برای سال ۲۰۲۶/۲۰۲۷ رو داری؟
تیم مؤسسه مهاجرتی بهارنو از اولین قدم تا روز ورود به مقصد، کنارتونه. برای اقدام در تمامی مقاطع و تمامی کشورها 🎓✈️
💥 خدمات مؤسسه بهارنو
✅ بررسی تخصصی شرایط و انتخاب بهترین کشور و دانشگاه
✅ اپلای و اخذ پذیرش دانشگاههای معتبر
✅ ثبتنام انواع بورسیهها و کمکهزینههای تحصیلی (در صورت واجد شرایط بودن)
✅ راهنمایی برای آمادهسازی مدارک، رزومه و انگیزهنامه
✅ انجام مراح…
❗️ آپدیت وضعیت سفارت ها
🇫🇷 فرانسه : باز هست - وقت دهی✔️
🇦🇹 اتریش : باز هست - وقت دهی ❌
🇳🇱 هلند : باز هست - وقت دهی ✔️
🇪🇸 اسپانیا : باز هست - وقت دهی ✔️
🇧🇪 بلژیک : باز هست - وقت دهی ✔️
🇮🇹 ایتالیا : باز هست - وقت دهی ✔️
🇩🇪 آلمان : باز هست ✔️ وقت دهی برای موارد خاصی❗️
👤 @bahareno_mamaghani
✈️ @baharenocom
📞 021-8889-4900
⭐️ تهران، میدان ولیعصر، موسسه مهاجرت بهار نو
🇳🇴 نروژ شهریه دانشجویان غیراروپایی را کاهش داد
قانون تازهای که از اول اوت ۲۰۲۶ در نروژ به اجرا درآمد، الزام دانشگاهها به دریافت شهریهای برابر با تمام هزینه تحصیل از دانشجویان خارج از منطقه اقتصادی اروپا و سوئیس را برداشت. پس از آن، شماری از دانشگاهها شهریه سال تحصیلی ۲۰۲۶/۲۷ را بیش از نصف کاهش دادند.
در دانشگاه استاوانگر شهریه سالانه رشتههای علوم انسانی، علوم اجتماعی و اقتصاد به ۶۰ هزار کرون (نزدیک به ۵٬۴۶۰ یو…
📚 ۵ سایت رایگان برای پیدا کردن بورسیههای تحصیلی
🔻 DAAD (برای آلمان)
🔻 Campus France (برای فرانسه)
🔻 Study in Sweden
🔻 Scholarship Portal
🔹 سایت رسمی هر دانشگاه — بخش Financial Aid
💡 نکته: بیشتر بورسیههای خوب، ددلاینشون ۶ تا ۸ ماه قبل از ترم شروع میشه. « همین حالا شروع کن »
👤 @bahareno_mamaghani
✈️ @baharenocom
📞 021-8889-4900
⭐️ تهران، میدان ولیعصر، موسسه مهاجرت بهار نو
📨 اولین ایمیل به استاد رو چطور بنویسیم؟ 🎓
‼️اولین ایمیل قراره فقط یه چیز رو ثابت کنه: پژوهش تو به کار استاد میخوره یا نه؟ 👀
🔢 با یه جمله خاص شروع کن
🔬 به یکی از مقالههای استاد اشاره کن و بگو چه ارتباطی با کار تو داره.
❌ با «My name is…» یا «I found your profile…» شروع نکن!
🔢 موضوع و فایل رو درست بفرست
📌 Subject پیشنهادی:
Prospective PhD 2026 — [Research Keyword] / [Your Name]
📎 فقط CV رو PDF کن و با اسم Firstna…
⁉️ تفاوت Statement of Purpose (SOP) و Motivation Letter چیه؟
📌 Statement of Purpose (SOP)
بیشتر توسط دانشگاههای آمریکا و کانادا درخواست میشود و تمرکز آن روی سوابق تحصیلی، پژوهشی، اهداف آکادمیک و برنامههای آینده است.
📌 Motivation Letter
در بسیاری از دانشگاههای اروپایی رایجتر است و بیشتر روی انگیزه شخصی، دلایل انتخاب رشته و دانشگاه، و تناسب شما با برنامه تحصیلی تمرکز دارد.
⚠️ اشتباه رایج:
بسیاری از متقاضیان …
👍3❤2
Showing the 12 most recent of 23 posts we hold for @baharenocom. 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 — 6,671 of 1,350,102entries 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 24 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.
“موسسه مهاجرتی بهار نو” (@baharenocom), 5,696 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/baharenocom.
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.