Channel
@Cg_Science
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry
834subscribers
-4 since we began measuring on 9 September 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1001335738116 |
|---|---|
| Type | Channel |
| Username | @Cg_Science |
| Created | Between 1 March 2018 and 31 July 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 9 September 2026 |
| Last confirmed live | 1 November 2026 |
| Measurements held | 6 |
| Confirmed unchanged | 1 time, most recently 1 November 2026 |
| On Telegram | t.me/Cg_Science |
Education — 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 1 October 2026 and assigned it the closest of 31 fixed categories, at 88% 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 1 Nov 2026, 10:30 | 834 | +2 |
| 25 Oct 2026, 09:30 | 832 | +3 |
| 18 Oct 2026, 13:47 | 829 | -1 |
| 1 Oct 2026, 19:39 | 830 | -7 |
| 11 Sept 2026, 22:36 | 837 | -1 |
| 9 Sept 2026, 15:22 | 838 | first reading |
17 posts held, back to 18 June 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 page of Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 17 posts for this entry, the most recent from 29 August 2026. An engagement rate over an empty window would be a number about nothing.
Measured directly from 3 videos 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.
121 reactions across 14 posts, in 3 distinct kinds. The most used accounts for 71.1% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 86 | 71.1% | |
| 🔥 | 18 | 14.9% | |
| 👍 | 17 | 14.0% |
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 14 of the 17 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 121 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 17 most recent posts we hold, published 18 June 2026 to 29 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.
🎁 یک جلسه رایگان از دوره Product Rendering این ویدئو بخشی از یکی از جلسات دوره Product Rendering هست که تصمیم گرفتم به‌صورت رایگان منتشرش کنم. از رفرنس تا طراحی | چطور از چند رفرنس یک آبجکت جدید بسازیم؟ توی این جلسه یاد می‌گیریم چطور به‌جای کپی کردن یک رفرنس، از چند رفرنس مختلف ایده بگیریم و در نهایت به یک طراحی جدید و منحصربه‌فرد برسیم. ابتدا یک کتگوری از آبجکت‌ها رو انتخاب می‌کنیم، بعد آبجکت رو به بخش‌های مختلف تقس…
❤9
Photo, posted without a caption
از این به بعد باید بیشتر توجه کنی چه کاری انجام میدی. دلاری باشه یا ریالی! ریالی هم اگه انجام میدی نباید طبق چند سال پیش قیمت بدی......
🔥9👍1
دلار نــقدی تهران 💵 199,000 فروش🔴
سلام عرض ادب خدمت تمامی دوستان عزیز کسانی که دنبال یه رفرنس اموزشی مدلینگ خوب برای مکس میگشتن این دوره آموزشی محسن جان بنظرم میتونه خوب باشه برای کسانی که ضعف مدلسازی داخل مکس دارن. برای اطلاعات بیشتر با خودش هماهنگ بشید و سؤال های که دارید با خودش مطرح کنید. @mohsen_afshari91 پکیج MEGAMAX با بیشتر از 58 ساعت محتوای آموزشی در قالب 118 جلسه با هدف پاسخگویی به تمام نیاز های کاربران این نرم افزار تولید شد تا هر فرد بت…
👍4❤1
🚨 فرصت داره تموم میشه... دوستان عزیز، فردا آخرین روز تخفیف دوره رندر پروداکت هست! ⏳🔥 اگر مدت‌هاست منتظر بودید با تخفیف ویژه و شرایط اقساطی وارد دوره بشید، این آخرین فرصت شماست. ❗ اگر حتی الان امکان خرید، حتی به‌صورت اقساطی، براتون فراهم نیست، نگران نباشید؛ امکان رزرو هم براتون در نظر گرفته شده تا این فرصت رو از دست ندید. 📩 برای اطلاع از شرایط رزرو و ثبت‌نام، همین الان به پیام خصوصی پیام بدید. @shayansharify فرد…
❤8
🔰"آموزش مدلسازی مبلمان Step to Step #3dsmax #zbrush #marvelousdesigner" #cgscience #مدلینگ .................................... https://t.me/Cg_Science
❤4
🔰"آموزش کنسول " Step to Step #3dsmax " #cgscience #مدلینگ .................................... https://t.me/Cg_Science
❤4
Lounge Chair Modeling Tutorial in 3ds Max. 🔰"آموزش مدلسازی مبلمان " Step to Step #3dsmax #zbrush #marvelousdesigner" #cgscience #مدلینگ .................................... https://t.me/Cg_Science
❤5
🔰سوال های که زیاد ازم پرسیدید دوستان عزیز من واقعا کسی نیستم که بخوام فقط پک بفروشم. حدود یک سال بیشتر میشه پک تموم شده تا حالا براش هیچ تبلیغاتی و تخفیفی نذاشتم واقعا. و کسی هم نیستم که بخوام پک رو به هر کسی بفروشم، که بخوام از این راه سر کسی کلاه بزارم. خیلی ها بودن که خواستن پک رو تهیه کنن من بهشون نفروختم گفتم به دلیل برای شما مناسب نیست. یا خیلی ها بودن گفتن اگر من اینو بخرم به درآمد میرسم صراحتا گفتم نه. ای…
❤24
🏆 ویترین برترین آثار هنرجویان Render Product اگر می‌خواهی رندرهای تو هم اینجا دیده شود، کافی است به جمع هنرجویان Render Product بپیوندی. 🎨✨ 🤚شعار ما اینه کیفیت اتفاقی نیست. https://t.me/Renderproduct_work
❤4
🎉 خبر خوب! فقط به مدت یک هفته، روی پک آموزشی من ۱ میلیون تومان تخفیف قرار گرفته است. اگر مدت‌ها بود قصد تهیه این آموزش را داشتید، این بهترین فرصت برای شروع است. همچنین اگر پرداخت یکجای مبلغ برایتان مقدور نیست، نگران نباشید؛ امکان پرداخت اقساطی را هم در نظر گرفته‌ام تا با خیال راحت بتوانید از آموزش استفاده کنید. اگر سوالی دارید یا می‌خواهید شرایط اقساط را بدانید، همین حالا به من پیام بدهید. 🌹 @shayansharify http…
❤6
Showing the 12 most recent of 17 posts we hold for @Cg_Science. 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.
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.
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
This channel appears in 3 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 1 November 2026 — this entry's latest reading, not the date you are reading this.
“cg.science Archive” (@Cg_Science), 834 subscribers as measured 1 November 2026. Telegram Register, tgregister.com/channel/Cg_Science.
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.