3 measurements spanning 10 days, net +141. 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 156–339 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
12 Sept 2026, 19:55
318
+119
4 Sept 2026, 08:20
199
+22
3 Sept 2026, 01:16
177
first reading
Engagement
20 posts held, back to 12 August 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.
ERR · 30 days
219.0%
avg views ÷ 318 subscribers
Avg views / post
696
13 posts measured
Reaction rate
0.497%
reactions ÷ views · ER floor
Posts in window
14
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 2 September 2026
Posts held
20 (12 August 2026 – 2 September 2026)
Views total
9,053
Reactions total
45
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
3 Sept 2026, 01:16 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.
Reaction mix
86 reactions across 19 posts, in 7 distinct kinds. The most used accounts for 66.3% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
57
66.3%
👍
14
16.3%
👏
8
9.30%
😍
4
4.65%
💯
1
1.16%
🤩
1
1.16%
🥰
1
1.16%
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 19 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 86 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 12 August 2026 to 2 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.
🔥 دنبال ویلاهای شمال با تخفیف لحظهای هستی؟ از این به بعد اینجا پیداشون کن!
از این به بعد ویلاها و اقامتگاههایی که تخفیف لحظهای میخورن، تو کانال جااینجا معرفی میشن. 🏡
یعنی ممکنه ویلایی که تا دیروز با قیمت بالاتری رزرو میشد، برای یه تاریخ مشخص یهو با قیمت خیلی بهتری در دسترس باشه. 👀
اگه اهل سفر به شمالی، عضو کانال شو که این تخفیفها رو از دست ندی.
👇 تخفیفهای لحظهای جااینجا
@jainja_app
کلبه استخردار همون چیزیه که همیشه همه میخوان و یه کلبه استخردار خوب، میتونه کیفیت سفرت رو چند برابر کنه.
ما تو جااینجا کلی کلبهی استخردار شیک و تمیز براتون آماده کردیم که همین الان در دسترسن و میتونید رزروشون کنید.
کلبه استخردار جااینجا
یعنی دوست نداری همین الان تو استخر باشی و استراحت کنی و به هیچی جز همین لحظه فکر نکنی؟
شما این ویلای خوشگل و دوستداشتنی رو تو بندرانزلی زیبا ببین
ویلا استخردار بندر انزلی
👕 شهریور شمال چی بپوشیم؟
شهریور شمال هنوز گرمه، ولی هوا میتونه مخصوصاً شبها و روزهای بارونی غافلگیرت کنه (البته همین الان که دارم این پست رو براتون مینویسم اینجا بارونه). پس چمدون رو فقط تابستونی نبند!
☀️ لباس خنک و نخی
برای روزهای گرم و شرجی.
🧥 یک لایه سبک یا سویشرت
برای شب، ارتفاعات و هوای خنک بعد از بارون.
🌧 بادگیر یا بارونی سبک
کمجا میگیره و اگر بارون ناگهانی شروع بشه نجاتت میده.
👟 کفش راحت و ترجیحاً ق…
یه کلبه اصیل براتون میخوایم بذاریم تو دل طبیعت زیبای نشتارود.
قبل از هرچیزی اینو یادتون باشه که درسته ما کلی ویلا و کلبه و سوییت جذاب تو شهرهایی مثل رامسر و شهسوار و متل قو و چالوس و نوشهر داریم ولی اگه دنبال یه جای دنجی که طبیعت شمال رو لمس کنی و از آرامشش لذت ببری، نباید نشتارودِ عزیزمون رو فراموش کنی.
کلبه جنگلی در نشتارود - جااینجا
دوستمون میگه:
ما میخوایم بیایم نمکآبرود بعد فقط بریم بگردیم و تفریح کنیم؛ یه سوییت قیمت مناسب داری که فقط برای خواب و استراحت بریم؟ امکانات خاص مثل استخر و اینام نمیخوایم چون همش بیرونیم!
بله!
چرا نداشته باشیم؟
یه فایل داریم قیمت باورنکردنی!🤩
شما برو این مورد رو ببین تا باورت بشه!
سوییت نمک آبرود در جااینجا
Jainja.app pinned «به زودی میخوایم اینجا ویلاها و اقامتگاههایی که تخفیف لحظهای میخورن رو بهتون معرفی کنیم، پس حواستون حسابی به کانال باشه و برای همسفراتون بفرستید تا اونا هم حواسشون باشه😉🤩 @jainja_app»
به زودی میخوایم اینجا ویلاها و اقامتگاههایی که تخفیف لحظهای میخورن رو بهتون معرفی کنیم، پس حواستون حسابی به کانال باشه و برای همسفراتون بفرستید تا اونا هم حواسشون باشه😉🤩
@jainja_app
مگه میشه دلت نخواد الان اینجا باشی؟
میدونید که ما تو جنگلهای نمکآبرود هم براتون اقامتگاههای فوقالعاده جذاب و شیک داریم؟
بیاید تو سایت و ببینید چه خبره!
جااینجا
🚗 قبل از راه افتادن به شمال، این ۵ چیز رو چک کن:
🌦 هوا
هوای شمال میتونه خیلی سریع عوض بشه؛ فقط به آفتابی بودن موقع حرکت اعتماد نکن.
🚘 وضعیت مسیر
قبل حرکت ترافیک و مسیر جایگزین رو ببین؛ مخصوصاً آخر هفتههای شهریور.
🏡 لوکیشن دقیق ویلا
آدرس و لوکیشن رو قبل حرکت از میزبان بگیر، نه وقتی رسیدی منطقه.
⛽️ بنزین
با باک خالی وارد جاده نشو؛ شلوغی شهریور ممکنه صف پمپبنزینها رو طولانی کنه.
🔌 شارژر و پاوربانک
مخصوصاً اگر م…
لینک مشاهده جزئیات و رزرو این کلبه:
https://jainja.app/room/95427
❤3
Showing the 12 most recent of 20 posts we hold for @jainja_app. 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 12 September 2026 — this
entry's latest reading, not the date you are reading this.
“Jainja.app” (@jainja_app), 318 subscribers as measured 12 September 2026. Telegram Register, tgregister.com/channel/jainja_app.
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.