4 measurements spanning 4 days, net +2. 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 3,098–3,104 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
10 Aug 2026, 15:27
3,103
+4
7 Aug 2026, 08:16
3,099
-2
6 Aug 2026, 21:00
3,101
no change
6 Aug 2026, 20:49
3,101
first reading
Engagement
20 posts held, back to 7 October 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 3 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
6.28%
avg views ÷ 3,103 subscribers
Avg views / post
195
1 post measured
Reaction rate
2.05%
reactions ÷ views · ER floor
Posts in window
1
of 20 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 August 2026
Posts held
20 (7 October 2025 – 6 August 2026)
Views total
195
Reactions total
4
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
7 Aug 2026, 23:57 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
Video runtime
2m 14s
Average length
2m 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
173 reactions across 17 posts, in 10 distinct kinds. The most used accounts for 56.1% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
97
56.1%
🔥
28
16.2%
🕊
25
14.5%
🤩
12
6.94%
😍
3
1.73%
🥰
3
1.73%
💯
2
1.16%
👍
1
0.578%
👎
1
0.578%
👏
1
0.578%
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 20 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 173reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 20 most recent posts we hold, published 7 October 2025 to 6 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.
انجمن علمی علوم و فناوری زیستی دانشگاه شهید بهشتی همراه با انجمنهای علمی همکار تقدیم میکند:
《سلسله جلسات BioCompass》
• از انتخاب مقصد تا برداشتن نخستین گام؛ آشنایی با مسیر اپلای به دانشگاههای سراسر جهان، تجربههای واقعی و پاسخ به پرسشهای شما.. 🌍🧭
💠 جلسه دوم: آلمان 🇩🇪
👤 سخنران:
محمد مختاری
• دانشجوی دکترای Systems Immunology دانشگاه Ludwig Maximilian University of Munich
📅 تاریخ: ۱۷ مرداد
🕟 زمان: ساعت ۱۶:۳۰
💸 ه…
روزها گذشتهاند، اما سنگینی آنچه رخ داد همچنان بر دلها مانده است. سکوت این مدت نه از سر بیتفاوتی، بلکه از اندوهی است که واژهها در بیانش ناتواناند. 🖤
نشریه علمی دانشجویی «پرایمر» ضمن ابراز تأسف عمیق نسبت به رخدادهای تلخ اخیر، مراتب همدردی خود را با خانوادهها و نزدیکان جانباختگان اعلام میدارد و برای آنان صبر و آرامش آرزو میکند. 🕊
ما باور داریم که دانشگاه، و دانشجو بهعنوان رکن اصلی آن، فراتر از یک نهاد آموزشی ص…
#اطلاعیه_۱
#مسابقه_ملی
دانشگاه تهرانی شو! 😍
پانزدهمین مسابقه ملی نانو
✅ امتیاز بنیاد نخبگان و تسهیل امر سربازی، راهیابی به المپیاد جهانی نانو ، جوایز ارزنده نقدی و ... تنها بخشی از مزایای این مسابقه میباشد!
🎯 علاقهمندان میتوانند از هر رشته و دانشگاهی (دانشجو یا فارغ التحصیل) از سراسر کشور بواسطه ثبتنام از انجمن نانو دانشگاه تهران، از 50% تخفیف (پرداخت تنها ۲۵۰ هزارتومان به جای ۵۰۰ هزارتومان) جهت دریافت بلیط م…
🏅 ویژهنامه شماره ۰۱ نشریه علمیدانشجویی «پرایمر» منتشر شد
مدیرمسئول: نیما عشقی
سردبیر: حورا اخوان فرید
صاحب امتیاز: انجمن علوم و فناوری زیستی دانشگاه شهید بهشتی
این ویژهنامه به زندگی و مسیر علمی زندهیاد دکتر بهزاد قرهیاضی میپردازد؛
دانشمندی که نقش مؤثری در شکلگیری و توسعه بیوتکنولوژی کشاورزی ایران داشت.
💫 در این شماره میخوانید:
🧬 گفتوگو با دکتر عباس عالمزاده درباره جایگاه علمی و میراث پژوهشی دکتر قرهیاضی…
🧬 بازگشت بینایی با تحریک بازسازی شبکیه؛ هدفگیری PROX1 در سلولهای مولر
🔰 پژوهشگران KAIST از توسعهی یک رویکرد درمانی جدید خبر دادهاند که میتواند با فعالسازی بازسازی عصبی در شبکیه پستانداران، به بهبود عملکرد بینایی در مدلهای حیوانی بیماریهای تخریبی شبکیه کمک کند؛ حوزهای که تاکنون درمانهای موجود عمدتاً فقط روند بیماری را کند میکردند، نه اینکه بیناییِ از دسترفته را برگردانند.
📌 طبق گزارش KAIST و مقالهی منتش…
🎙️ Primer Talk | پادکست تجربه و گفتوگوی دوستانه
گاهی علم، نه در مقالهها،
بلکه در یک گفتوگوی صمیمی نفس میکشد ✨
در این قسمت از Primer Talk
میزبان گفتوگو با دکتر ملاصالحی هستیم؛
از مسیر علم و تجربه 🧠
تا پرسشهای انسانی، مسیر تحصیل و کار در جهان امروز 🌍
🎧 اگر به تجربههای واقعی، گفتوگوی اندیشمندانه
و علمِ زنده علاقهمندید،
این قسمت از Primer Talk را از دست ندهید ✨
مدیر مسئول:نیما عشقی
سر دبیر: حورا اخوان فرید
گو…
🧠 CONNECT x INRP:
Neuro-AI Series, 7️⃣
💡 موضوع: پویایی آوای پرندگان
فنچها چگونه صدای خود را برای اهداف جدید تغییر میدهند؟
📌 عنوان و خلاصه مقاله
Context-dependent modulations in zebra finch distance calls revealed by a novel goal-directed vocalization paradigm
پژوهشی که در این رویداد ارائه میشه، نشون میده آوای بلند یا همون ندای دور (distance call) در پرندهی فنچ زبرا (zebra finch) یه سیگنال ثابت و ازپیشتعیینشده…
رادیو پرایمر تقدیم میکند
🎙️ پادکست ژورنال کلاب بایوکلنی منتشر شد ✨
🐉 تحلیل و بررسی فصل اول کتاب «اژدهای بهشتی» 📘
در این اپیزود سراغ فصل اول کتاب اژدهای بهشتی رفتیم و مفاهیم اصلی اون رو مرور کردیم؛
از بررسی اسم کتاب و معنای «اژدهای بهشتی» 🐉📖 و دلیل انتخابش توسط کارل سیگن،
تا آشنایی کوتاه با خودِ نویسنده 👤🔭 و نگاه بینرشتهای اون به علم و تکامل.
بخش مهمی از پادکست به تقویم کیهانی اختصاص داره 🌌🗓️؛ مدلی جذاب برای در…
کارگاه نانو کازمتیک"از شخصی سازی شده تا تولید محصول"
📌تلاقی علم نانو و هوش مصنوعی رویکردی نوین در طراحی محصولات شخصی سازی شده کازمتیک📌
در نقطه تلاقی نانوفناوری و هوش مصنوعی نسل تازه ای از فرمولاسیون های کازمتیک و آرایشی-بهداشتی در حال شکل گیری است.محصولاتی که بر پایه تحلیل دقیق رفتار پوست طراحی میشود و این رویکرد امکان ساخت ترکیبات هوشمند را فراهم میکند.در این کارگاه با فرآیندهایی آشنا میشوید که آینده محصولات کازمتیک…
❤1👍1
Signed Primer Admin
Showing the 12 most recent of 20 posts we hold for @Primer_Journal. 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.
Forward network
Republishes
Channels on the register whose posts this channel has forwarded.
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.
Handles this channel named that no longer answer
Dead references
1
handles named in this channel’s posts, vacant today
Evidenced gone
0
we ourselves saw one of these resolve, at some point
Never seen alive
1
vacant every time we have ever looked
@Primer_Journal named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all.A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
@pncp_admin named in 1 post, 8 August 2026 – 8 August 2026
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 10 August 2026 — this
entry's latest reading, not the date you are reading this.
“پرایمر | Primer” (@Primer_Journal), 3,103 subscribers as measured 10 August 2026. Telegram Register, tgregister.com/channel/Primer_Journal.
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.