4 measurements spanning 16 days, net +3. 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 13–16 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
11 Sept 2026, 02:19
16
+1
1 Sept 2026, 12:34
15
+2
25 Aug 2026, 23:15
13
no change
25 Aug 2026, 23:00
13
first reading
Engagement
19 posts held, back to 16 March 2025 — 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
50.0%
avg views ÷ 16 subscribers
Avg views / post
8.0
1 post measured
Reaction rate
37.5%
reactions ÷ views · ER floor
Posts in window
1
of 19 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 24 August 2026
Posts held
19 (16 March 2025 – 24 August 2026)
Views total
8
Reactions total
3
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
25 Aug 2026, 23:15 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
111 reactions across 14 posts, in 9 distinct kinds. The most used accounts for 25.2% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
28
25.2%
👍
24
21.6%
🔥
18
16.2%
🥰
11
9.91%
👌
8
7.21%
👏
8
7.21%
🕊
5
4.50%
😍
5
4.50%
👎
4
3.60%
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 19 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 111 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 19 most recent posts we hold, published 16 March 2025 to 24 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.
"بازخورد کوتاه نمیخوام حس میکنم بهم بی توجهی میشه!!"
✅️انتقاد درست یکی از عمل گراها از ریَلیزِیتور جورنچین.
پ.ن: بمحض اینکه مائده عزیز این نکته رو به ما گوشزد کرد تونستیم اصلاحش کنیم💡
...
انتقادات شما باعث بهتر شدن روند کاری ما میشه پس لطفا مارو از نظرات مفیدتون بی بهره نزارین🤝
#انتقاد_دارم
■با این هشتگا میتونی نظرات مراجعین مختلف جورنچین رو پیدا کنی:👇
#عشقش_کارشه
#مدرسه_میره
#دانشگاه_میره
#میخواد_دانشگاه_بره
#دنبال_شغل_میگرده
#منتورینگ
#درباره_منتورینگ
#انتقاد_دارم
#اهل_هنره
#داستان_مراجع
*این لیست آپدیت میشه*
اگر تو چنل جایی واژه "زردآلو" رو دیدی، تعجب نکن،اسم قبلی تیممونه؛ ما با سابقه تر از اینحرفاییم!🪔
"فقط مشاور خودمو به دیگران پیشنهاد میکنم"
نصفه شبی میاد از این چیزا (رضایتا) میفرسته🤩😎
3تا نکته:
1. برنامه ریزی بلد بودن وظیفه دانش آموز نیست پس به خودت سخت نگیر🫸[کلی همکارای ما هم هستن که بلد نیستن واقعا]
2. اعتمادتونو با حرف بدست نیاوردیم، با برنامه ریزی براساس متد منحنی فراموشی و استفاده از علم برای موفقیت بوده🫵
3. شبا به موقع بخوابین 😌
#مدرسه_میره
#منتورینگ
#داستان_مراجع
وقتی عاشق آشپزی👩🏻🍳 هستی (درس میره تو سایه)
سر به هوایی 🤷🏻♀️
تو گذشته درسخون نبودی 🙇🏻♀️
عین وروره جادویی و هی در رفت و آمدی 🏃🏻♀️➡️🏃🏻♀️
با توجیههای قشنگ و کارای خوبی تو اینستا فعالی 🤳🏻
و در کنار همه اینا آدم تاثیرپذیری هستی 🚶🏻♀️
چالش بزرگی برای استمرار داری.
آره بنفشه از همون روز اول داشت نشون میداد که ادامه دادن مسیر درسی براش سخته!!
باید از مهمترین چالش شروع میکردیم.
تبدیل شد به یه وروره جادو …
اینکه بعد از ۳۷ جلسه همچنان هم حرف برای گفتن داری هم اعتماد مخاطبتو ، شدیدا لذت بخشه✨ 🤩😎💢
البته این ۳۷ جلسه فقط برای دانشجوییه؛ این دوستمون ۳۴جلسه دوران دانش آموزی هم داشت که شهر و رشته مدنظرشو آورده⚡️😎
#مدرسه_میره
#میخواد_دانشگاه_بره
#منتورینگ
#داستان_مراجع
میخوام تیتر چالشهاشو بگم بهت:
- نمیدونست چی میخواد واقعا☹️
- با فرهنگیان قصد داشت از زیر رسالتش شونه خالی کنه😒
- تو روستای با امکانات کم زندگی میکرد
- عجول، مضطرب و شدیدا کارنابلد بود🤕
- این وسط تا خودشو جمع کرد، چند ماه مونده به کنکورش، پدر عزیزش فوت کرد🥺
اما الان بیا ببین چه خانومی شده برای خودش و خونوادهش🤌
👇👇👇
#داستان_مراجع :
علی آقا حقیقت 👨🏻💼
یه مرد پرکار که از صبح تا شب با چالشای منابع انسانی سازمانی که توش همین پست رو داره درگیره، جوری که برای درس خوندن از تایمهای استراحتش در کل روز استفاده میکرد.
مطمئنم اگه کنکور مهارتی بود بدون شک جزو رتبههای تک رقمی میشد🥇
بنظرم چیزای زیادی برای عرضه به دنیا داره و امیدوارم بتونه بهتر از همیشه مُچِ چالشهای زندگی رو بخوابونه تا بیشتر و بیشتر باشه💫
( #میخواد_دانشگاه_بره )
اینم صحب…
👌6❤2
Showing the 12 most recent of 19 posts we hold for @jorNachini. 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.
Mentions
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.
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 11 September 2026 — this
entry's latest reading, not the date you are reading this.
“آرشیو تغییراتِ واقعی🗞” (@jorNachini), 16 subscribers as measured 11 September 2026. Telegram Register, tgregister.com/channel/jorNachini.
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.