Education — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 13 August 2026 and assigned it the closest of 31 fixed categories, at 51% 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
2 measurements taken within a single day, net +28. 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 123,254–123,290 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
14 Aug 2026, 14:07
123,286
+28
13 Aug 2026, 19:17
123,258
first reading
Engagement
20 posts held, back to 27 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 3 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
12.5%
avg views ÷ 123,286 subscribers
Avg views / post
15,400
20 posts measured
Reaction rate
0.19%
reactions ÷ views · ER floor
Posts in window
20
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 11 August 2026
Posts held
20 (27 July 2026 – 11 August 2026)
Views total
308,680
Reactions total
587
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
14 Aug 2026, 19:25 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
Photos
83
Videos
38
Links
78
Lifetime counters from Telegram’s own channel header, read 14 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
Video runtime
1m 06s
Average length
1m 06s
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
587 reactions across 20 posts, in 19 distinct kinds. The most used accounts for 49.7% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
292
49.7%
❤🔥
105
17.9%
👍
57
9.71%
🥰
52
8.86%
🙏
22
3.75%
🍓
14
2.39%
👏
12
2.04%
🐳
6
1.02%
🥴
5
0.852%
👌
4
0.681%
😍
4
0.681%
😭
3
0.511%
🤷♂
3
0.511%
💘
2
0.341%
🤝
2
0.341%
⚡
1
0.17%
👀
1
0.17%
😢
1
0.17%
🥱
1
0.17%
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 587reactions 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 27 July 2026 to 11 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.
❌ ایده تولید محتوا نداری؟
❌ سناریو نوشتن برات سخته؟
❌ پول ادیتور و طراح هم نداری؟
🚨با این ۵ تا ابزار میتونی بدون هزینه، بخش زیادی از کارهای پیجت رو خودت انجام بدی 👇🏻
1️⃣ ChatGPT
برای ایدهپردازی، نوشتن هوک، سناریو و کپشن
2️⃣ Canva
برای طراحی پست، استوری و کاور
3️⃣ CapCut
برای ادیت ویدیو، ساخت افکت و زیرنویس خودکار
4️⃣ PhotoRoom
برای حذف پسزمینه و ساخت عکس حرفهای از محصول
5️⃣ Directam
▪️ پاسخگویی ۲۴ساعته ب…
📌 آموزش ساخت عکس با پرامپتهای هوش مصنوعی
خیلیهاتون پرسیدین:
«عکس رو از کجا وارد کنیم؟»
«پرامپت رو کجا باید بنویسیم؟»
«چطوری عکسمون رو همراه با پرامپت بسازیم؟» 🤔
برای همین این آموزش رو براتون آماده کردم تا مرحلهبهمرحله یاد بگیرید چطور عکس خودتون رو وارد کنید و پرامپتهایی که اینجا میذارم روی عکس اجرا کنید✨
اینم پرامپت تبدیل عکس به فیگور سه بعدی کارتونی👇
mouth,soft smooth skin,and realistic detailed hair.
Keep thr same outfit,pose background, and accessories from the organisation photo .
The style should look like prequel Al doll effect/ Blythe doll style /pixar-quality 3D render with realistic lighting and detailed textures.
بِوقت ۱۸ مرداد…🎂
یه سال دیگه گذشت…
پر از تجربه، تغییر، خنده، اشک و کلی درس
آرزوی امسالِم؛
آرامش برای مردم سرزمینم
و جهانی سرشار از صلح، امید و لبخنده 🕊️🤍
پرامپتشم بذارم؟؟؟!!!❤️🔥
دقیقاً هدفم از ساخت دوره «اینستا لاین» همین بود… 🥹🤍
خیلی وقتها مشکل این نیست که کم تلاش میکنیم؛ مشکل اینه که مسیر اشتباهی رو با تمام توان ادامه میدیم
نتیجه هم معمولاً چیزی جز خستگی، دلزدگی و ناامیدی ورها کردن نیست…
خوشحالم که آموزشهای دوره باعث شد نگاهت به این مسیر عوض بشه🌱
مطمئنم اگر فصلها رو کامل ببینی و قدمبهقدم اجرا کنی،نهتنها نتیجههای بهتری میگیری، بلکه با اطمینان و آگاهی بیشتری میتونی پیجت رو بالا…
دلم نیومد فقط خودم ببینمشون… 🥹
این چند تا از خروجیهای قشنگیه که شما با پرامپتهای کانال ساختین و برام فرستادین✨🫶
راستش یکی از لذتبخشترین قسمتهای این کانال برای من، دیدن خلاقیت شماست!
اینکه هر کدوم از شما با پرامپت مشترک، یه حالوهوای کاملاً متفاوت خلق میکنین 🎨
✅ 👆پرامپت در دو قسمت ارسال شده
هر دو بخش رو با هم کپی و در chat gpt وارد کنید تا خروجی نهایی را بگیرید
اگه با این پرامپت عکس ساختین،
حتماً برام ارسالش کنین
مشتاقم خروجیهای قشنگتون رو ببینم 🫶🥹
📌 Part 2
stitching, sleeve folds, fit, proportions, and overall styling. Do not redesign, simplify, or substitute any part of the outfit.
Behind her stands a miniature chibi version of the same woman with an oversized head, bright expressive eyes, and the exact same hairstyle, outfit, accessories, and proportions as the main subject. The chibi character is playfully tugging on the back of her oversized shirt.
Add f…
📌 Part 1
Use the uploaded photo as the identity reference. Preserve the subject's identity exactly as in the reference photo, including the facial structure, proportions, skin tone, age, eyes, eyebrows, nose, lips, smile, expression, hairstyle, and all unique facial features. Do not beautify, stylize, alter, or replace the face in any way.
Create a cute, playful full-body portrait on a clean light-gray minimalist st…
سلام سلام✨🍭
روز قشنگتون بخیر وشادی 🫶
پرامپت ساخت این عکس رو پایین براتون میذارم
کافیه عکس خودتونو به همراه پرامپت بدین به chat gpt وخروجی رو بعد چند ثانیه سیو کنید📥🫠
❤13🍓6🥰5
Signed Nesa Piruzifard
Showing the 12 most recent of 20 posts we hold for @nesa_piruzi. 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.
Channels Telegram recommends alongside this one
Telegram’s own answer, not this register’s.When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Read from Telegram’s recommendation API, most recently 13 August 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
Appears in Telegram’s recommendations for other channels
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.
روابط عاطفی با ساناز شفیعی @sanaz_shafieiii · 126,962 Telegram ranks this channel #33 of 65 here — alongside 64 others — read 13 August 2026
This channel appears in 1 seed channel's Telegram-generated recommendation list in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 14 August 2026 — this
entry's latest reading, not the date you are reading this.
“نسا پیروزی فرد| NESA PIRUZIFARD” (@nesa_piruzi), 123,286 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/nesa_piruzi.
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.
