Channel
@blueLearnMP
On this record: Growth · Engagement · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry
1,468subscribers
-3 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
| Telegram ID | -1001632940309 |
|---|---|
| Type | Channel |
| Username | @blueLearnMP |
| Created | Between 1 December 2021 and 31 March 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 10 August 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 1 time, most recently 10 August 2026 |
| On Telegram | t.me/blueLearnMP |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 10 Aug 2026, 20:31 | 1,468 | -3 |
| 7 Aug 2026, 21:48 | 1,471 | no change |
| 7 Aug 2026, 12:38 | 1,471 | first reading |
20 posts held, back to 20 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 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 6 of 19 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 7 August 2026 |
|---|---|
| Posts held | 20 (20 July 2026 – 7 August 2026) |
| Views total | 1,054 |
| Reactions total | 9 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 7 Aug 2026, 21:48 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.
9 reactions across 5 posts, in 3 distinct kinds. The most used accounts for 44.4% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 🔥 | 4 | 44.4% | |
| ❤ | 3 | 33.3% | |
| 👍 | 2 | 22.2% |
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 6 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 9reactions 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 20 July 2026 to 7 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.
💎🔮🔮🔮🔮🔮🔮💎 🎆🧬🎊🎈کلی کانال بینظیر و کمیاب پراز آهنگ📌💞🔊 ،متن،گیف🧸🎸🎭،شعر،فانتزی،علمی،فرهنگی،هنری،...!!!!🎻☔️💥☄ ࿐⊰💌 𝐋𝐈𝐍𝐊 💌⊱࿐ •┈┈┈┈┅━┈🪁┈━┅┈┈┈┈• https://t.me/addlist/TKlxJJ1k_QpjMWZk مدیریت تبادلات🔥💫❤️ #ناب بدو سریع دکمه ها رو بزن و لذت ببر قشنگم😍😍👇👇
Signed M
چطور از اطلاعات گوشی بکاپ بگیریم؟ اگر روزی گوشیتون خراب شود، گم شود یا مجبور شودب اون ریست کنی، داشتن بکاپ میتونه تمام اطلاعاتت رو نجات بده. برای این کار مراحل زیر را انجام دهید: اگر گوشی اندرویدی دارید: وارد تنظیمات (Settings) شوید. به بخش Google یا System > Backup بروید. گزینه Backup by Google One یا Back up to Google Drive را فعال کنید. روی Back up now بزنید تا یک نسخه پشتیبان از مخاطبین، پیامکها، تنظیمات و برخ…
🥷تو کوله پشتی هکر چی هست ؟! @bluelearnmp
یه پروژه خیلی جالب برای کسایی که میخوان بفهمن پشت صحنهی LLMها چی میگذره ساخته شده. این ریپو قدمبهقدم نشون میده چطور یه مدل زبانی رو از صفر بسازید؛ از جمعآوری و آمادهسازی دادهها گرفته تا ساخت کامل معماری Transformer با PyTorch و در نهایت اینکه مدل چطور شروع به تولید متن میکنه. حتی بخشهایی مثل Attention، Multi-Head Attention، بلاکهای Transformer و کل ساختار مدل هم خودشون از صفر پیادهسازی شدن و با توضیحات و…
Signed M
- هعیی بابا 💔 @bluelearnmp
🔵 سه ابزار خوب برای ساخت نمونه اولیه: 🔹 Uizard برای ساخت سریع چند صفحه از روی توضیح متنی https://uizard.io 🔹 Visily برای طراحی وایرفریم از روی متن، طرح دستی یا اسکرینشات https://www.visily.ai 🔹 Figma Make برای ساخت نمونه تعاملی و قابل کلیک https://www.figma.com/make/ 🔁 @skillswap
🟣 قبل از شروع طراحی، اول یه نمونه اولیه بساز! اینطوری قبل از اینکه چند روز وقت بذاری، کارفرما ساختار و مسیر کلی سایت یا اپ رو میبینه و تأیید میکنه. نتیجه چی میشه؟ اصلاحیههای کمتر و دیگه خبری از جمله "من یه چیز دیگه میخواستم" نیست! 📲 پایین سه ابزار کاربردی معرفی کردم:
💣 تولد اینترنت: پروژهای نظامی برای مقابله با بمب اتم! (پارت ۱) سال ۱۹۶۹ و در اوج جنگ سرد، ارتش آمریکا با یک چالش مهندسی بزرگ روبرو شد: اگر شوروی با بمب اتم یک مرکز مخابراتی یا سرور مرکزی رو با خاک یکسان کنه، کل شبکه ارتباطی کشور فلج میشه! 💡 راهحل چی بود؟ تولد پروژهای به نام ARPANET و ابداع یک مفهوم انقلابی به اسم Packet Switching. به جای اینکه اطلاعات از یک مسیر ثابت برن، دیتای بزرگ به «بستههای کوچک» (Packets) …
🔥1
💻اصطلاحات امنیت سایبری ⌛️بخش دوم #هک #امنیت #اصطلاحات @bluelearnmp
❤3
بررسی BBR (چیه و چرا مهمه)؟ کلمه BBR مخفف🌱هست Bottleneck Bandwidth and Round-trip propagation time ی الگوریتم کنترل ترافیک شبکه که توسط گوگل ساخته شده تا سرعت انتقال دیتا بهینه تر بشه ⏺️چطور کار میکنه؟ برخلاف الگوریتمای قدیمی که وقتی packet loss میبینن سرعتو کم میکنن BBR سعی میکنه: 🌟 پهنای باند واقعی مسیر رو تشخیص بده 🌟 تاخیر واقعی شبکه رو اندازه بگیره 🌟 ارسال دیتا رو بر اساس بهترین ظرفیت ممکن تنظیم کنه نتیجه ا…
💻اصطلاحات امنیت سایبری ⌛️بخش اول #هک #امنیت #اصطلاحات @bluelearnmp
💻پروژه های پایتون برای هکینگ #هک #پایتون #پروژه @bluelearnmp
Showing the 12 most recent of 20 posts we hold for @blueLearnMP. 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 — 349,711 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.
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.
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.
@blueLearnMP 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.
References a handle that is not a live channel — we have no record it ever was one.
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.
“برنامه نویسی | هوش مصنوعی” (@blueLearnMP), 1,468 subscribers as measured 10 August 2026. Telegram Register, tgregister.com/channel/blueLearnMP.
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.