2 measurements spanning 1 day. 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 814–816 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
16 Sept 2026, 20:17
815
no change
15 Sept 2026, 19:22
815
first reading
Engagement
20 posts held, back to 29 November 2022 — 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
17.8%
avg views ÷ 815 subscribers
Avg views / post
145
1 post measured
Reaction rate
1.38%
reactions ÷ views · ER floor
Posts in window
1
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 12 September 2026
Posts held
20 (29 November 2022 – 12 September 2026)
Views total
145
Reactions total
2
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
15 Sept 2026, 19:22 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
90 reactions across 18 posts, in 3 distinct kinds. The most used accounts for 63.3% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
57
63.3%
❤
27
30.0%
🙏
6
6.67%
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 90 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 29 November 2022 to 12 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.
در سایت و کانال ولکامینگ ایران چه چیزی قابل مشاهده است؟
📱 @welcomingiran
🌐 welcomingiran.ir
✅ با کلیک بر روی شهر مورد نظر خود مشخصاتِ
- هتل
- بومگردی
- تورلیدر
- تور
- جاذبه
- رستوران
- سوغات
آن شهر با عکس، شماره تماس و صفحه اینستاگرام قابل مشاهده است.
✅ شما میتوانید بلیط پرواز تهیه نمایید (حتی بلیط هایی که بر روی سایت های عمومی قابل نمایش نیستند).
✅ از آخرین خبرهای مهم گردشگری مطلع شوید.
(برای مشاهده سایت فیل…
سلام
اول ازم خواستن که خودمو معرفی کنم
بعد سوالایی که پرسیدن اینا بود :
فکر میکنی یه تور لیدر اینترنشنال چه خصوصیاتی باید داشته باشه؟
ایران چند تا اثر ثبت جهانی داره؟
آخریش چیه ؟ یه کم دربارش توضیح بده
گفتن فکر میکنی آدمی هستی که بتونی در شرایط پر استرس خودت رو کنترل کنی و کارت رو مدیریت کنی؟
گفتن فکر میکنی راوی و داستان گوی خوبی هستی؟؟
و اصلا چه نیازی به این توانایی هست
خرداد ۱۴۰۴
#مصاحبه
@LanguageInterview
📣 نتایج آزمون مصاحبه زبان انگلیسی و زبانهای غیرانگلیسی آذر 1401 اعلام شد📣
اطلاعات بیشتر را در لینک زیر بخوانید:
https://arasbaran.org/news.cfm?id=3259
📗 گزارش آزمون مصاحبه زبانهای انگلیسی و غیرانگلیسی راهنمایان و مدیران فنی آذرماه 1401 📒
آزمون مصاحبه زبان انگلیسی و غیرانگلیسی ویژه راهنمایان تور و مدیران فنی آژانسهای مسافرتی از روز شنبه 5 آذرماه الی یکشنبه 13 آذرماه در موسسه آموزشی و گردشگری ارسباران برگزار شد.
گزارشی از روند برگزاری این آزمون را در لینک زیر میخوانیم👇🏻
https://arasbaran.org/news.cfm?id=3249
یک آقای میانسال با یک خانم تو اتاق منتظر من بودند رفتم خیلی ریلکس خوش آمد گویی کردند پرسیدند از خودت بگو و چرا میخوای راهنمای تور بشی من براشون از خودم گفتم و شروع کردم علت هام را بگم که گفت کافیه حالا برای من یکی از سلسله های قبل از اسلام را توضیح بده که من یک لحظه مراجعه کردم به ذهنم داشتم میگفتم گفت کلمات و جملات را قشنگ میگی ولی مثل اینکه استرس داری گفتم بله گفت تو موسسه باش بعدا صدات میکنم چون تو کاخ گلستان راهن…
سلام
من امروز برای مصاحبه زبان رفتم موسسه ارسباران.
طبیعت گردی.
نوبتم که شد رفتم داخل اتاق. یک خانم به انگلیسی بهم سلام کرد و حالم رو پرسید. (برخورد اول خوب بود و به ارامش بیشتر کمک کرد)
بعد ازدادن اون برگه بهش و چک کردن اسمم ازم در مورد مدرک تحصیلیم پرسید که من خودم به مقداری بیشتر در موردش صحبت کردم.
بعد علت اینکه میخوام تور لیدر شم رو پرسید.
پرسید اصالتا اهل کجام.
فرض کن یه توریست خارجی اومده و تو میخوای یه جا رو…
سلام
من امروز ۱۲ اذر مصاحبه زبان انگلیسی داشتم که خانم محترمی بودن و بسیار دوستانه وقتی گفتم استرس دارم گفتن که چرا؟ من هم مثل شما لیدر هستم فقط با این تفاوت که فرهنگی کار میکنم و گفتن چی شد که اومدی لیدر شی؟ و من گفتم یه مختصر توضیح در مورد خودم میدم و شرح میدم.
من چون رشته تحصیلی و کاریم متفاوته گفتن چی شد که یه چیزی خوندی و یه کار دیگه ای میکنی و الان هم میخوای لیدر شی گفتم برای شغل دوم میخوام و تایید کردن که درس…
سلام
اول از همه بگم که حتما کپی کارت ملی همراهتون باشه که مثل من مجبور نباشید برگردید برای کپی.
من روز ۱۲ آذر مصاحبه زبان انگلیسی طبیعت گردی داشتم.
اول سلام و علیک کردیم به انگلیسی و در ادامه یک گپ معمولی داشتیم به صورت زیر:
پرسید روزت چطور بوده تا الان؟
در مورد کار و رشته تحصیلیم پرسید.
بعد پرسید راهنمای طبیعت گردی هستی یا فرهنگی؟
پرسید چرا طبیعت گردی؟
پرسید چه مشخصه ای در تو بود که اومدی سمت لیدری؟
در مورد دوره …
👍2❤1
Showing the 12 most recent of 20 posts we hold for @LanguageInterview. 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
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 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 16 September 2026 — this
entry's latest reading, not the date you are reading this.
“Interview” (@LanguageInterview), 815 subscribers as measured 16 September 2026. Telegram Register, tgregister.com/channel/LanguageInterview.
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.