Technology — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 18 September 2026 and assigned it the closest of 31 fixed categories, at 63% 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.
Observations
These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.
Views per post sit far above this size band
3,400 average views per post against 1,424 subscribers — an engagement rate of 238.8%. Across the 1,398 registered channels in the same cohort — 1,000–3,157 subscribers, posting mainly in Persian — the middle half sit between 7.79% and 30.2%, with a median of 16.0%.
What this was computed from
Window
30 days (25 August 2026 – 24 September 2026)
Posts measured
9 of 9 published in the window (1 exact, 8 rounded by Telegram)
Views totalled
30,609
Mature posts only
268.0% over 8 posts read at least 24h after publication
When this is recorded. A channel is listed here only when its engagement rate sits at or above the 99th percentile of its cohort and is at least 3× away from that cohort’s median — above it — on both the all-readings figure and the mature-only figure. The percentile alone would be circular: a percentile cut puts the same share of every cohort in the tail whatever the data looks like. The distance from the median is what makes it a statement about this channel.
This is not a verdict, and the direction is not a quality signal. A low rate has many innocent causes — audiences that read in the Telegram app without opening the channel, a subscriber base built long before the current output, an audience in a different timezone from our reading. A high rate has innocent causes too: a post that travelled far beyond the channel’s own subscribers will do it. We publish the measurement and the distribution it sits in. The full cohort baselines are downloadable, so this comparison can be reproduced rather than trusted.
Recorded under the key err_high, last confirmed 24 September 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.
Growth
25 measurements spanning 37 days, net -22,894. 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”.
Measurement log — every subscribers count we have recorded, most recent 20 of 25
Measured (UTC)
Subscribers
Change
18 Sept 2026, 18:42
1,424
+61
14 Sept 2026, 11:00
1,363
+63
10 Sept 2026, 17:17
1,300
-6,309
5 Sept 2026, 04:36
7,609
-14,133
3 Sept 2026, 10:22
21,742
-42
2 Sept 2026, 08:13
21,784
-22
1 Sept 2026, 07:27
21,806
-23
31 Aug 2026, 04:04
21,829
-23
30 Aug 2026, 02:39
21,852
-39
29 Aug 2026, 06:05
21,891
-35
28 Aug 2026, 08:13
21,926
-38
27 Aug 2026, 08:54
21,964
-28
26 Aug 2026, 12:25
21,992
-73
25 Aug 2026, 12:13
22,065
-52
24 Aug 2026, 12:13
22,117
-63
22 Aug 2026, 18:08
22,180
-36
21 Aug 2026, 12:06
22,216
-47
20 Aug 2026, 15:14
22,263
-40
19 Aug 2026, 17:33
22,303
-337
18 Aug 2026, 17:48
22,640
first reading
Engagement
48 posts held, back to 16 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 44 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
238.8%
avg views ÷ 1,424 subscribers
Avg views / post
3,400
9 posts measured
Reaction rate
—
this channel exposes no reaction counts
Posts in window
9
of 48 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 3 September 2026
Posts held
48 (16 July 2026 – 3 September 2026)
Views total
30,609
Reactions total
—
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
3 Sept 2026, 13:35 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.
🌐 خدمات ریکاوری | 🤩🤩🤩🤩
🔧 سلام و عرض ادب خدمت همراهان عزیز تیم ترک .
🔥خدمات بازیابی و بازگردانی تلگرام
🔥 بازیابی اکانت از دسترفته
بررسی مشکلات دسترسی به گپ و کانال
راهنمایی و پیگیری مشکلات مربوط به اکانت
بررسی تخصصی شرایط قبل از شروع کار.
🔥اکانت تلگرامت رو از دست دادی؟
🔥دسترسی به کانال یا گپت رو نداری؟
🔧نگران نباش!
شرایطت رو بررسی میکنیم و در صورت امکان، راهکار مناسب برای بازگردانی دسترسی رو بهت ارائه میدی…
🌐آپدیت جدید مدیریت | 🤩🤩🤩🤩
💎قابلیت جدید و پیشرفته ربات فعال
شد.
درود به مالکین عزیز گروهها 🌹
از این لحظه، سیستم هوشمند تشخیص و فیلتر رسانه با دقت بالا به ربات اضافه شده؛ سیستمی که به شما اجازه میدهد قوانین مخصوص گروه خودتان را تعریف کنید و کنترل کاملتری روی محتوای منتشرشده داشته باشید⚡
تفاوت این سیستم با فیلترهای معمولی اینه که هر گروه قوانین مخصوص خودش رو داره🚀
شما تعیین میکنید:
⭐ربات روی چه نوع محتوایی حس…
⚠️اطلاعیه رسمی و مهم | مسئولیت تنظیمات امنیتی ربات⚠️
مالکین محترم گروهها
با توجه به افزایش سوءاستفاده از دسترسیهای مدیریتی و تنظیمات امنیتی، لازم است تمامی مالکین نسبت به نحوه پیکربندی و مدیریت ربات دقت و مسئولیتپذیری لازم را داشته باشند.
تمامی قفلها، محدودیتها و سازوکارهای امنیتی موجود در ربات، بر اساس نیازهای حفاظتی و با هدف جلوگیری از سوءاستفاده، ایجاد اختلال و حفظ امنیت گروه و حساب مدیریتکننده طراحی شده…
🌐 خدمات ممبر انلاین | 🤩🤩🤩🤩
⭐ممبر 24 ساعت آنلاین گروه
⭐ صدرصد آنلاین
🚀ممبر آنلاین
🚀افزایش اعتبار و تعامل گروه
🚀تحویل سریع
🚀مسیر ثبت: خدمات تلگرام _ گروه
🌐 اسامی پشتیبان معتبر | 🤩🤩🤩🤩
❗️لیست پشتیبان های معتبر تیم ترک به غیر این اشخاص هر کسی به اسم تیم ما بهتون پیام داد به هیچ عنوان بهش اعتماد نکنید
💎خانم فاطمه
@OWNERTURKS
💎خانم سودا
@SevdaTurk
💎خانم نازنین
@NAZANINTURKM
💎خانم زینب
@Zeinabturk00
💎خانم نادیا
@NADYTURK
💎خانم نیلی
@NYLITURK
💎خانم سوگند
@BAJIITOORAJ
💎خانم کمند
@gilasturk
💎اقای پاشا
@GENERALLTURK
💎اقای سجاد
@seniiorturk
این اشخاص پشتیبان معتبر تیم ترک…
🌐 ربات مدیریت هوشمند | 🤩🤩🤩🤩
🎖 رباتی قدرتمند، سریع و پایدار برای مدیریت حرفهای گروههای تلگرام با جدیدترین امکانات. 💙
🧠 دارای سیستم AI هوش مصنوعی
🤖 دارای سیستم TIG ضد ممبر دزد
😠 دارای سیستم ABM ضد خیانت
💵 دارای سیستم درآمد از گروه
🔞 شناسایی رسانه +18 و مستهجن
🔥 پرسرعت در گروه 200 هزار نفره.
✔️ قفل لینک، اسپم، فوروارد، ربات و تبچی
✔️ قفل محتوای غیراخلاقی، ضد خ.شونت، م.واد م.خدر و ک.ودکآزاری
✔️ قفل خیانت ادمین و …
🌐 خدمات تیم | 🤩🤩🤩🤩
💎 سفارشات پرسرعت درحال انجـــــام
💎 بسیار متشکریم برای اعتمادی که به مجموعه دارید، نهایت تلاشمون رو برای پیشرفت شما خواهیم گذاشت …
💎 کیفیت و راحتی و قیمت مناسب رو با ترک شاپ داشته باشید .
@GODTURK 💎
🌐 لیست قیمت ترک بات | 🤩🤩🤩🤩
♦️ قیمت جدید رباتهاے مدیریت و ضدلینک گروه
⬢✓ ❶ماهه : 𝟔𝟎 هزار تومان.
⬢✓ ❷ماهه : 𝟏𝟐𝟎هزار تومان.
⬢✓ ❸ماهه : 𝟏𝟖𝟎 هزار تومان.
⬢✓ ❹ماهه : 𝟐𝟒𝟎 هزار تومان.
⬢✓ ❺ماهه : 𝟑𝟎𝟎 هزار تومان.
⬢✓ ❻ماهه : 𝟑𝟔𝟎 هزار تومان.
⬢✓ ❶ساله : 𝟕𝟐𝟎 هزار تومان.
🔺 هزینه قفل ضد پ.ورن و ضد مخ.درجداگونه هست این قفل جهت پاک کردن گیف استیکر 𝟏𝟖+ قابل استفاده هست ؛ فعال کردن این قفل اختیاری هست.
ماهیانه ❰𝟔𝟎❱ هزارتومان م…
🌐 خدمات جوینر کال | 🤩🤩🤩🤩
🔉 ویسکالتو از سکوت دربیار! 🔉
🤩🤩🤩🤩🤩🤩
🎧 ویسکال شلوغ و پرانرژی رو با JOINER تجربه کن! 🩷
🔉 خالی بودن ویس کال رو فراموش کن ⚡️
👥 تعداد ممبر بیشتر = فضای جذابتر و پرهیجانتر 🔥
💥 هر تعداد که بخوای، دقیقاً طبق سفارشت!
🎉 تولد داری؟
🎉 جشن و مهمونی داری؟
🤟 میخوای ویسکالت شلوغتر و پرجنبوجوشتر باشه؟
با JOINER ویسکال فضای کالت رو متفاوت کن! 💥
ویژگیهای سرویس JOINER 🩷
✅ تعداد کاملاً سفارشی …
🌐 خدمات بوست ترک | 🤩🤩🤩🤩
✍️انقلابی در سرعت انجام سفارش بوست شما !🔥
🛫 اگه دنبال یه بوست سریع، باکیفیت و مقرونبهصرفه هستی، وقتشه بوست ویژه ترک رو امتحان کنی! بوستی که نمونه سرعت و انجام ان به جرعت میشه گفت داخل ایران پیدا نمیشه !
🛫انجام آنی و فوق سریع — بدون معطلی در صدم ثانیه !
🛫کیفیت عالی — با خیال راحت سفارشت رو ثبت کن
🛫قیمت مناسب و رقابتی — کیفیت بالا، هزینه منطقی
🛫دیگه لازم نیست برای انجام سفارشت من…
Signed TOORAJ | TURK
Showing the 12 most recent of 48 posts we hold for @TURKTMBOT. 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.
Posts edited after publishing
@TURKTMBOT edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
First edit seen
31 August 2026
Most recent edit
31 August 2026
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 18 September 2026 — this
entry's latest reading, not the date you are reading this.
“خدمات مجازی | TURK” (@TURKTMBOT), 1,424 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/TURKTMBOT.
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.