🚨 به دلیل احتمال جنگ و ملی شدن اینترنت، بهترین کانالهای تلگرام را برای شما پیدا کردهایم که بهصورت رایگان در دسترس هستند. ⚡ ظرفیت محدود – فقط امشب 🔻 https://t.me/addlist/-o_Yt8p-w6ZkM2Y0 🔻 شرکت در تبادل؛ @Ads_adminIR

Channel
Maryam team
@MaryamTeam
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
4,605subscribers
-10 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
Register entry
| Telegram ID | -1001939985361 |
|---|---|
| Type | Channel |
| Username | @MaryamTeam |
| Description | به تیم مریم خوش آمدید♥️ 🔻چنل یوتوب تیم مریم🔻 https://www.youtube.com/@MaryamYoga 🅰️Admin @wewillbethereforyou 🚀تبلیغات پر بازده @foryou_ad 🔻گروه ویژه @Specialgroup4u 🔻ابتدا https://t.me/MaryamTeam/11 |
| Created | Between 1 March 2023 and 31 October 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 10 August 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 1 time, most recently 10 August 2026 |
| On Telegram | t.me/MaryamTeam |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 10 Aug 2026, 12:31 | 4,605 | -1 |
| 7 Aug 2026, 11:34 | 4,606 | -9 |
| 6 Aug 2026, 15:22 | 4,615 | first reading |
Engagement
24 posts held, back to 26 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 8 pagesof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 14.5%
- avg views ÷ 4,605 subscribers
- Avg views / post
- 667
- 14 posts measured
- Reaction rate
- 0.419%
- reactions ÷ views · ER floor
- Posts in window
- 14
- of 24 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. It is computed over the 4 of 14 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 11 August 2026 |
|---|---|
| Posts held | 24 (26 June 2026 – 11 August 2026) |
| Views total | 9,332 |
| Reactions total | 13 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 12 Aug 2026, 06:58 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
- 54
- Videos
- 263
- Links
- 27
Lifetime counters from Telegram’s own channel header, read 12 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
- 4h 10m
- Average length
- 14m 44s
Measured directly from 17 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.
Reaction mix
42 reactions across 14 posts, in 8 distinct kinds. The most used accounts for 52.4% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 22 | 52.4% | |
| 👍 | 7 | 16.7% | |
| 👏 | 3 | 7.14% | |
| 💩 | 3 | 7.14% | |
| 🔥 | 3 | 7.14% | |
| 🖕 | 2 | 4.76% | |
| 🍌 | 1 | 2.38% | |
| 🤔 | 1 | 2.38% |
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 24 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 42reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 24 most recent posts we hold, published 26 June 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.
Recent posts
راز پنهان پشت داروهای لاغری | عوارضی که باید بدانید! 1 @MaryamTeam | Sport Mode ❤️
دوره ورزش و کاهش وزن در خانه :
اولین_تمرین_فول_بادی_برای_شروع_ورزش_در_خانه_|_روز_۱_از_۲۳. @MaryamTeam | Sport Mode ❤️
اگه_چربی_شکم_داری،_این_۵_تمرین_رو_انجام_بده_بدون_هوازی. @MaryamTeam | Sport Mode ❤️
🔵🔥 تنها کاری که باعث شد چربی پشتم از بین بره! اگر از چربیهای پشت و پهلو خسته شدی، این نکته ساده میتونه مسیرت رو برای تناسباندام تغییر بده. 💪✨ ⬢ @MaryamTeam | Sport Mode ❤️ #چربی_سوزی #تناسب_اندام #ورزش #سلامت #لاغری 🔵🩵💪🔥✨
❤2
📖 کلیله و دمنه نسخهی کامل این شاهکار ادبی در گروه کتابخوانی بارگذاری شد ✅ 💰 حق عضویت: فقط ۱۰۰ هزار تومان 🔒 عضویت دائمی + دسترسی به آپدیتهای آینده برای دریافت نمونه فایل، مشاوره، ثبتنام و دسترسی به صدها کتاب صوتی و PDF: 📩 فقط کلمهی book را ارسال کنید به آیدی زیر 👇 @wewillbethereforyou
تاریخ تمدن ویل دورانت 📚 نسخه کامل این کتاب در گروه کتابخوانی بارگذاری شد ✅ 📲 حق عضویت فقط و فقط ۱۰۰ هزار تومان است — عضویت بهصورت دائم میباشد (همراه با آپدیتهای بعدی). برای مشاوره، ثبتنام و دریافت نمونه فایل این کتاب و صدها کتاب صوتی و PDF دیگر، کلمهی book را ارسال کنید به آیدی زیر: 👇🏻 @wewillbethereforyou
بر کراول (Bear Crawl) هدف: تقویت کل بدن روش انجام: روی دست و پا حرکت کن. زانو فقط چند سانتیمتر از زمین فاصله داشته باشد. @MaryamTeam | Sport Mode ❤️
❤2
▎چکلیست روزانه برای نظم و ترتیب در زندگی ▎برای بدنت: 1. آب و لیمو: شروع روز با یک لیوان آب و لیمو برای سمزدایی. 2. غذاهای مغذی: انتخاب وعدههای غذایی سالم و مغذی. 3. حرکات کششی: انجام حرکات کششی برای افزایش انعطافپذیری. 4. دوش آب سرد: دوش گرفتن با آب سرد برای افزایش انرژی. ▎برای ذهنت: 1. کتاب خواندن: اختصاص زمانی برای مطالعه کتابهای مورد علاقه. 2. کارهای هنری: خلاقیت خود را با نقاشی، نوشتن یا هر هنر دیگری ابر…
👍5❤1🍌1🔥1
🍓✨ انجامش بدین، خیلی خوشگله! 🎧💖 یه ترند جذاب و احساسی که ارزش امتحان کردن داره. 🌸🎶 ⬢ @MaryamTeam | Sport Mode ⚡️ #ترانه #عشق_ابدی
🖕1
✨ چطور از موهام مراقبت میکنم؟ با وجود تنبلی تخمدان (PCOS) 🌸 تجربهها، نکات کاربردی و روتین مراقبتی که به حفظ سلامت و زیبایی موهام کمک کرده. 💖 ⚡️ @MaryamTeam | Sport Mode ⚡️ #تنبلی_تخمدان #ریزش_مو #مراقبت_از_مو #سلامت_مو #PCOS #HairCare #HairGrowth #HealthyHair #PCOSAwareness #SelfCare #BeautyTips #HairRoutine #WomenHealth #MaryamTeam
Showing the 12 most recent of 24 posts we hold for @MaryamTeam. 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
Citation-graph rank — 318,364 of 1,151,006entries 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.
Forward network
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.
Mentions
Named by 39 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. The 24 listed below are the most frequent namers; the rest are counted above but not each listed.
Named by
Channels on the register whose posts name this channel's handle.
@gharibianlavasanii · 17,2524 postsدورنمای اقتصاد
@econviews · 18,2113 postsتقویت (مکالمه) با کارتون های 8 دقیقه ای سان شاین
@EnglishCartoonn2024 · 22,7773 postsتبادل بکر
@Novellist · 4333 posts👑novin.english👑
@novinenglish_new · 13,5023 postsمدرسه نویسندگی آناهل
@anahelanjoman · 6,5322 posts𝑨𝒑𝒑𝒛_𝒌𝒂𝒎𝒚𝒂𝒃 | برنامه های کمیاب
@appz_kamyab · 20,5632 posts🌸آرامش با داستان🌸
@arameshbadastan · 9,9202 postsدیر بوک
@DeyrBook · 14,3962 postsENGLISH WITH MIMA
@Englishwithmima · 13,2692 postsکاغذِ خطخطی (داستان-رمان)
@fiction_12 · 7,6042 postsهمســفر بـا ماه
@hamsafarbamah · 9,1522 posts🌻آموزش های رایگان هنرکده آفتاب🌻
@honarkadeh_aftab96 · 5,6452 posts「 آنک 」
@its_anak · 17,8022 postsجعلیات ادبی
@jaliateadabi · 4,2362 postsکتابخانه ادبی
@ketabkhaneadabi1398 · 7,2482 postsمریم گاردن
@MaryamGarden · 4,2032 postsروانشناسی و پزشکی
@matlabravanshenasi · 22,6502 postsمدرسه ی زبان، مکالمه و موسیقی
@RealEnConversations · 16,6922 postsشـ؏ــر ســـریــــرا
@seda_tanha · 7,9342 postsشـ؏ـر و مشـاعـره
@sher_moshaer · 8,1652 postsنردبان نور✨
@shine41 · 5,0502 posts🍀زیبایی های آفرینش🍀
@stiiiiicker · 13,4202 postsدکوراسیون حرفه ای منزل رو رایگان یاد بگیر
@ZibaManzel · 12,3232 posts
Names
Channels on the register whose handles appear in this channel's posts.
@amozshalpha · 2,3701 postمدرسه نویسندگی آناهل
@anahelanjoman · 6,5321 postآموزشهای رایگان رزین ، قالبسازی ، پتینه ، شمع تراپی با هنر
@baharrezinart · 3,0341 postبیمُلاحِظه ❥
@Bi_Molaahezeh · 3,0401 postبلبلی برگ گلی
@Bolbolibargegoli1397 · 4,1071 postکافه میم
@cafeemiim · 1,3281 postگنجینه روان
@ChannelGanjineh_Ravan · 1,5941 postدرون زاد...
@daronzaad · 1,3211 postدورنمای اقتصاد
@econviews · 18,2111 postتقویت (مکالمه) با کارتون های 8 دقیقه ای سان شاین
@EnglishCartoonn2024 · 22,7771 postENGLISH WITH MIMA
@Englishwithmima · 13,2691 postاندروتیت♡حسِ خوبِ زندگی
@fullandrewP4K · 2,3831 postسیامک عشقعلی
@isiamakeshghali · 9831 postآرامِش دَرون✨
@khalse_daroon · 6,4751 postمریم گاردن
@MaryamGarden · 4,2031 postدوره ثروتساز💸توسعه فردی
@maya_mind · 2,8951 post👑novin.english👑
@novinenglish_new · 13,5021 postآرامش با 💐|RangiRangi
@RangiRangitel · 1,8571 postروانشناسی موفقیت | تراپی
@ravanshenasi_movafagh · 2,8341 postمدرسه ی زبان، مکالمه و موسیقی
@RealEnConversations · 16,6921 postشـ؏ــر ســـریــــرا
@seda_tanha · 7,9341 postشـ؏ـر و مشـاعـره
@sher_moshaer · 8,1651 postمجله ی هنری
@tasavirhonarie · 4,3871 post「 تم مود 」
@ThemeMood · 1,6921 post
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 10 August 2026 — this entry's latest reading, not the date you are reading this.
“Maryam team” (@MaryamTeam), 4,605 subscribers as measured 10 August 2026. Telegram Register, tgregister.com/channel/MaryamTeam.
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.