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 14 September 2026 and assigned it the closest of 31 fixed categories, at 100% 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.
Growth
19 measurements spanning 77 days, net +7,373. 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”.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
23 Oct 2026, 00:36
7,594
-120
20 Oct 2026, 08:31
7,714
-101
17 Oct 2026, 12:44
7,815
+2,668
14 Oct 2026, 20:31
5,147
+288
11 Oct 2026, 16:56
4,859
-46
5 Oct 2026, 15:15
4,905
-12
27 Sept 2026, 12:41
4,917
-58
18 Sept 2026, 09:02
4,975
-44
14 Sept 2026, 13:19
5,019
+2,192
10 Sept 2026, 13:37
2,827
+520
6 Sept 2026, 03:22
2,307
no change
5 Sept 2026, 12:17
2,307
+575
1 Sept 2026, 17:48
1,732
+158
29 Aug 2026, 10:25
1,574
+181
26 Aug 2026, 06:23
1,393
+28
23 Aug 2026, 07:37
1,365
+572
15 Aug 2026, 08:29
793
+564
7 Aug 2026, 14:05
229
+8
6 Aug 2026, 16:13
221
first reading
Engagement
20 posts held, back to 3 September 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 20 posts for this entry, the most recent from 5 September 2026. An engagement rate over an empty window would be a number about nothing.
Reaction mix
331 reactions across 20 posts, in 9 distinct kinds. The most used accounts for 50.5% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
167
50.5%
👍
75
22.7%
❤🔥
57
17.2%
🤔
17
5.14%
🔥
5
1.51%
🆒
3
0.906%
😁
3
0.906%
👀
2
0.604%
😱
2
0.604%
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 20 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 331 reactions 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 3 September 2026 to 5 September 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.
🫁 اگه بخواین اندازهٔ لوبهای ریه رو با هم مقایسه کنین، حواستون باشه فقط از یک طرف به ریهها نگاه نکنین!
دقت کنین مطابق شکل 👇🏻
🥇 بزرگترین لوب: لوب تحتانی شش راست
🥉 کوچکترین لوب: لوب میانی شش راست
🚨نکات این شکل رو به هیچ عنوان از دست ندین!!
بارها شده طراح سراغ نکاتی رفته که فقط و فقط از دل همین شکلها قابل برداشته! 👀🔍
و اینجاست که میرسیم به یکی از خفنترین بخشهای «کدون آغاز»!
چون قرار نیست همیشه یکی باشه که جواب ابهاماتتون رو بهتون بگه… 🙂
باید یاد بگیرین خودتون موقع خوندن متن کتاب، ابهامها رو شکار کنین! 💯
✔️ دکتر کرمیپور با بررسی دقیق متن کتاب درسی بهتون یاد میدن:
🔍 چطور ابهامات رو زودتر پیدا کنین؟
⚡️ و مهمتر از اون، چطور خودتون دنبال جواب درست بگردین!
اینجا قراره نگاهتون به متن کتاب، کلاً عوض بشه…! ✨
عجیبه برای یه سؤال واحد، جوابهای کاملاً متفاوتی دادین! 🤔
و جالبتر اینکه از بین تمام جوابها،
فقط یکی درست بوده‼️
حالا سؤال اینجاست… 💡
اگه این ابهام رو خودتون موقع خوندن کتاب تشخیص ندین، کی قراره متوجهش بشین؟! 🔍
کیس پزشکی 🩺
👀فردی ۵۵ ساله با مراجعه به چشمپزشک متوجه شده است که همگرایی عدسی چشم او افزایش یافته و همچنین اجسام نزدیک را تار میبیند.
چند مورد از موارد زیر در این فرد قابل مشاهده است⁉️
🟢 اصلاح چشم با عدسی واگرا
🟢 نیازمند استفاده از عینکهای ویژه
🟢 تمرکز پرتوهای نوری در جلوی شبکیه
🟢 عدم کروی و صاف بودن سطح قرنیه
جمعبندی نکات گیرندههای بویایی 👃🏻
به نظرتون از هر منفذ بویایی چند آکسون عبور میکنه؟ 🤔
و آیا اونها متعلق به دو گیرندهٔ بویاییِ نزدیک به هم ان؟
حواستون به این ریزهکاریها باشه، دقیقاً همینجاست که طراح میتونه دام پهن کنه! 👀🪤
در پروژه کدون آغاز علاوه بر اینکه با روند صحیح مطالعه آشنا میشین و همین اول راه، مسیر براتون روشنتر میشه✨
دکتر کرمیپور متن کتاب درسی رو هم بررسی میکنن و بهتون یاد میدن چطور دامها و ابهامهای پنهان کتاب رو خودتون بیرون بکشین‼️
کدون آغاز برای همه بچهها کاملاً رایگانه 👍
برای آشنایی با نحوهٔ ثبتنام و تشکیل تیم، میتونین فیلم توضیحات دکتر کرمیپور رو مشاهده کنین و قدمبهقدم با روند ثبتنام آشنا بشین ✔️
❤11
Showing the 12 most recent of 20 posts we hold for @nomiraedu. 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
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 1 registered channel — 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 23 October 2026 — this
entry's latest reading, not the date you are reading this.
“گروه آموزشی نومیرا” (@nomiraedu), 7,594 subscribers as measured 23 October 2026. Telegram Register, tgregister.com/channel/nomiraedu.
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.