Channel
@fablab_learn
On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry
824subscribers
-1 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1003686406074 |
|---|---|
| Type | Channel |
| Username | @fablab_learn |
| Created | 30 December 2025 — measured — dated from the channel’s first post |
| First recorded | 6 August 2026 |
| Last confirmed live | 7 August 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 1 time, most recently 7 August 2026 |
| On Telegram | t.me/fablab_learn |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 7 Aug 2026, 02:08 | 824 | -1 |
| 6 Aug 2026, 15:18 | 825 | no change |
| 6 Aug 2026, 06:52 | 825 | first reading |
15 posts held, back to 30 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 1 pageof Telegram’s post history, 20 posts per page.
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 1 of 3 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 3 August 2026 |
|---|---|
| Posts held | 15 (30 December 2025 – 3 August 2026) |
| Views total | 324 |
| Reactions total | 1 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 6 Aug 2026, 15:18 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.
18 reactions across 5 posts, in 2 distinct kinds. The most used accounts for 88.9% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 16 | 88.9% | |
| 👍 | 2 | 11.1% |
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 5 of the 15 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 18reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 15 most recent posts we hold, published 30 December 2025 to 3 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.
⭕️👩💻تیم تخصصی پروژه دانشجویی⭕️👩💻 انجام امورزیر 👇 ✅ انجام پروپوزال تمامی رشته ها ✅ انجام پایان نامه تمامی رشته های کارشناسی ، ارشد ، دکترا ✅ انجام قالب بندی پایان نامه ✅ انجام ویراستاری پایان نامه ✅ انجام رفرنس نویسی و اندونت کردن رفرنسها ✅ انجام تهیه پاورپونیت حرفه ای دفاع ✅ انجام قالب بندی مقالات به فرمت مجله های داخلی و خارجی ✅ اصلاح همانندی پایان نامه ✅ انجام و چاپ مقالات داخلی(همایشی) و خارجی(isi) برای تم…
🧬 دعوت به یک نشست علمی 🧫 زیستشناسی سنتتیک، امروزه تنها یک فناوری نوظهور نیست؛ بلکه به یکی از ارکان آیندهی پزشکی، زیستفناوری و امنیت زیستی در جهان تبدیل شده است. اما این حوزه چگونه از یک ایدهی آزمایشگاهی به یک مأموریت ملی رسیده است؟ 📯 گروه پژوهشی بیولوژی سلولی و پزشکی بازساختی جهاد دانشگاهی واحد استان قم با همکاری انجمن سلولهای بنیادی و مهندسی بافت دانشگاه خوارزمی برگزار میکند: 🔺 نشست علمی «زیستشناسی سنتتیک؛ …
📣📣 آخرین مهلت ثبت نام ✅ ✅ اگه قصد کارکردن در داروخانه داری و یا دانشجو و فارغ التحصیلی هستی که میخوای به نسخه ها و داروهای مختلف مسلط بشی 👇 💊 💊 دوره تکنسین داروخانه 📝 سرفصل های دوره در پوستر موجود است. ‼️ ظرفیت باقی مانده محدود است. ⏱ زمان برگزاری : سه شنبه ها ، پنجشنبه ها و جمعه ها ساعت ۱۶ لغایت ۱۸ ( شروع دوره از ۱۶ مردادماه ) به مدت ۲۰ ساعت 🟠 دوره بصورت مجازی برگزار می شود. ( بعد از برگزاری هر جلس…
❤1
Fab lab learn pinned a photo
سلام وقتتون بخیر دوستان ماه آیندت سه دوره در پیش داریم : ۱- دوره جامع پایتون ۲-طراحی سایت با وردپرس و ورود به بازار کار ۳-دوره جامع power bi
❤3
نرم افزار Power bi را پروژه محور یاد بگیر! در این دوره، فقط تئوری نمیخونیم، با پروژه های واقعی، مهارت تحلیل و مصور سازی داده رو کسب می کنی. ✅ آموزش آنلاین و تعاملی ✅ همراه با مدرک ایروفبلب دانشگاه شهید بهشتی ✅ کار با پروژه های واقعی و عملی 📅 شروع: دوشنبه ۲۶ مرداد ⏰ زمان: دوشنبهها و پنجشنبهها 💰 فقط ۴۲۰ هزار تومان (ثبتنام گروهی شامل تخفیف میشود) برای ثبتنام و اطلاعات بیشتر با آیدی زیر در ارتباط باشید. @Fa…
یادگیری 𝗪𝗼𝗿𝗱𝗣𝗿𝗲𝘀𝘀 از صفر تا راهاندازی هر نوع سایتی و فروشگاه اینترنتی! ✅ بدون نیاز به برنامهنویسی ✅ کاملاً پروژهمحور ✅ مناسب ورود به بازار کار 📅 شروع: از ۱۹ مرداد دوشنبه و چهارشنبه ها 🎓 همراه با ارائه مدرک از ایرو فب لب دانشگاه شهید بهشتی 💰 هزینه: فقط ۴۲۰ هزار تومان برای ثبت نام به آیدی زیر در تلگرام یا بله پیام دهید: @Fablab_sbu
Fab lab learn pinned a photo
🐍 دوره جامع Python با ارائه مدرک از فب لب دانشگاه شهید بهشتی اگر میخواهید برنامه نویسی را از پایه و بهصورت پروژه محور یاد بگیرید، این دوره فرصت مناسبی برای شروع است. با تدریس امیرحسین نویدیان مدرس مجرب دانشگاه ها و آموزشگاه های کشور ✅ آموزش گام به گام از صفر تا سطح کاربردی ✅ پشتیبانی و رفع اشکال بین جلسات ✅ دسترسی به محتوای دوره پس از اتمام کلاسها ✅ ارائه مدرک 📅 شروع دوره: ۱۷ مرداد 🕒 شنبه و سه شنبه ها ۱۰ …
❤6
Fab lab learn pinned a photo
🚀 اکسل؛ مهارتی که تقریباً در هر مسیر شغلی و دانشگاهی به آن نیاز خواهید داشت! 🔥ایرو فبلب دانشگاه شهید بهشتی برگزار میکند. ⭐️در دوره جامع آموزش اکسل (مقدماتی تا پیشرفته) بهصورت کاربردی و پروژهمحور یاد میگیرید: ✅ فرمولها و توابع پرکاربرد و حرفهای ✅ تهیه گزارشهای دقیق و استاندارد ✅ طراحی نمودارها و داشبوردهای مدیریتی ✅ تحلیل دادهها برای پروژههای دانشگاهی و محیط کار 🎓 همراه با ارائه مدرک رسمی از دانشگاه شهید…
❤4👍2
Fab lab learn pinned a photo
Showing the 12 most recent of 15 posts we hold for @fablab_learn. 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 — 207,109 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.
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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.
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.
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 7 August 2026 — this entry's latest reading, not the date you are reading this.
“Fab lab learn” (@fablab_learn), 824 subscribers as measured 7 August 2026. Telegram Register, tgregister.com/channel/fablab_learn.
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.