Channel
@kolbegarm
On this record: Topic · Observations · Also posting the same content · Growth · Engagement · What this channel posts · Posts · Citations · Handles named that no longer answer · Cite this entry
2,586subscribers
-2 since we began measuring on 5 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
| Telegram ID | -1001006244252 |
|---|---|
| Type | Channel |
| Username | @kolbegarm |
| Created | Between 1 September 2015 and 31 December 2015— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 9 August 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 1 time, most recently 9 August 2026 |
| On Telegram | t.me/kolbegarm |
Other / unclassifiable — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 11 August 2026 and assigned it the closest of 31 fixed categories, at 59% 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.
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.
Posts published here appear word for word on 5 other registered channels. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.
| Posted first | Then | Overlap | Gap |
|---|---|---|---|
| @hesenabzendegi1/10509328 Jul 2026, 07:38 UTC | @kolbegarm/96992 · this entry28 Jul 2026, 07:38 UTC | 1.00 | under a minute |
| @hesenabzendegi1/10509628 Jul 2026, 14:19 UTC | @kolbegarm/96995 · this entry28 Jul 2026, 14:20 UTC | 1.00 | under a minute |
| @hesenabzendegi1/10509728 Jul 2026, 14:19 UTC | @kolbegarm/96996 · this entry28 Jul 2026, 14:20 UTC | 1.00 | under a minute |
| @hesenabzendegi1/1051031 Aug 2026, 06:58 UTC | @kolbegarm/97002 · this entry1 Aug 2026, 06:59 UTC | 1.00 | 72 seconds |
| @hesenabzendegi1/1051041 Aug 2026, 06:58 UTC | @kolbegarm/97003 · this entry1 Aug 2026, 06:59 UTC | 1.00 | 72 seconds |
| @kolbegarm/96994 · this entry28 Jul 2026, 14:20 UTC | @Natural_Treatments/4282628 Jul 2026, 14:22 UTC | 1.00 | 3 minutes |
| Channel | Matching posts | Text overlap | Typical gap | Published first |
|---|---|---|---|---|
| @hesenabzendegi1 | 20 (8/8 hand-verifiable sample passed) | 1.00 | under a minute | @hesenabzendegi1 (19–1) |
| @Natural_Treatments | 8 (8/8 hand-verifiable sample passed) | 1.00 | 2 minutes | this entry (7–1) |
| @T_salaamat | 8 (8/8 hand-verifiable sample passed) | 1.00 | 2 minutes | this entry (7–1) |
| @H_A_j_a_T | 7 (7/7 hand-verifiable sample passed) | 1.00 | under a minute | this entry (7–0) |
| @pattoogh1 | 5 (5/5 hand-verifiable sample passed) | 1.00 | 72 seconds | this entry (5–0) |
Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.
What this cannot establish
MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.
Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. None of the 10 matches recorded here fall after that date, so for this entry we cannot say whether any of them carried a credit. The duplication is measured; the absence of attribution is not.
“Published first” means first in this corpus. We hold 25 comparable posts for this entry, running 28 July 2026 to 7 August 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.
The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.
Across the whole group of 6, the earliest publisher we hold is @hesenabzendegi1. That is a statement about our reading window, not a claim of authorship.
Recorded under the keys clone_copy · clone_source, last confirmed 8 August 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.
This channel’s posts match, word for word or near enough, posts on 5 other registered channels, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.
Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 9 Aug 2026, 19:52 | 2,586 | -2 |
| 6 Aug 2026, 05:22 | 2,588 | no change |
| 5 Aug 2026, 16:58 | 2,588 | first reading |
26 posts held, back to 28 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 2 pagesof Telegram’s post history, 20 posts per page.
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.
| Window | Rolling 30 days · latest post in window 7 August 2026 |
|---|---|
| Posts held | 26 (28 July 2026 – 7 August 2026) |
| Views total | 2,601 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 7 Aug 2026, 16:22 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.
Measured directly from 4 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.
نمیخوام ته دلتونو خالی کنم ولی؛😭 به زودی قراره اتفاقاتی بیفته و اینترنتها قطع بشه ! کانال رسمی «اپلیکیشن Happ» رو داشته باشید تا بتونید تو قطعی نت هم با همین «قیمتهای پایین» متصل باشید 🔥 @HappNetVPN آیدی پشتیبانی: @HappNetAdmin خرید از ربات: @HappNetvpnbot
Signed فاطمه(گسترده ایلیا)
هیچ وقت حسرت زندگی آدمایی رو که از درونشون خبر نداری نخور.!! حسادت نوعی اعتراف به حقیر بودن خویش است ...؛ هر قلبی دردی دارد ...؛ فقط نحوه ابراز آن فرق دارد ...؛ بعضی ها؛ آن را در چشمانشان پنهان می کنند...؛ بعضی هادرلبخندشان..!!! خنده را معنی به سر مستی مکن؛ آنکه می خندد غمش بی انتهاست...؛ نه سفیدی بیانگر زیبایی است و نه سیاهی نشانه زشتی...؛ انسان به اخلاقش هست؛ نه به مظهرش ...؛ قبل از اینکه سرت را بالا ببری و…
Signed فاطمه(گسترده ایلیا)
🔰 تو مثل کدوم خانم وزن کم میکنی؟ ❌ نفر اول: ۵ کیلو لاغر شده 😵 نون و برنج رو حذف کرده 😵 فقط غذای رژیمی داره 😵 روزانه ۲ وعده داره ✅ نفر دوم: ۱۶ کیلو لاغر شده 😋 نون و برنج میخوره 😋 حتی پیتزا و بستنی میخوره 😋 روزانه ۱۲ وعده داره 🎁اگه توام تکنیک توربو نفر دوم رو میخوای عدد ۶۴ رو بفرست، رایگان بگیرش 👇 👤 @Andamebartarp 👤 @Andamebartarp ⭕️ برای دیدن نتایج عضو کانال شو: https://t.me/+NYDQ-CwpoPZlNGNk
Signed فاطمه(گسترده ایلیا)
اگر کسی تو را با تمام مهربانیت دوست نداشت ... دلگیر مباش که نه تو گناهکاری نه او. آنگاه که مهر می ورزی مهربانیت تو را زیباترین معصوم دنیا میکند ... پس خود را گناهکار مبین. من خدایی می شناسم كه ابر رحمتش به زمین و زمان باریده ... یکی سپاسش می گوید و هزاران نفر کفر !!! پس مپندار بهتر از آنچه خدا را سپاس گفتند ، از تو برای مهربانیت قدردانی می کنند. پس از ناسپاسی هایشان مرنج و در شاد کردن دلهایشان بکوش... که این روح…
Signed فاطمه(گسترده ایلیا)
دیگه با چه زبونی بگم بوتاکس نکنین ❌❌!! ارزش این همه عوارض نداره !!! کیا دوست دارند صورتشون مثل کلیپ بالا صاف بشه 💯 بزن رو لینک زیر. تا صورتت مثل آینه بشه👇 https://t.me/+zD2AedzVuC80YjI8 💯❌هر کی لازمش داره دستش بره بالا👇 https://t.me/+zD2AedzVuC80YjI8 زیبایی و جوانسازی صورت فقط. تو ده روز ❌
Signed فاطمه(گسترده ایلیا)
💎 #فوق_العاده_زیبا روزی عارفی، مردم را به دور خود جمع کرده بود و از خدا برایشان سخن میگفت برایشان از شریعت و طریقت و معرفت و حقیقت سخن میگفت. او مردم را آماده میکرد برای پاسخ به سوالهایی که حضرت حق از آنها در مورد حیاتشان، در مورد دوستیهایشان، در مورد عبادت هایشان، نماز و روزههایشان و... خواهد پرسید. درویشی که از آنجا میگذشت رو به جماعت کرد و گفت: حضرت حق اگر یک سوال پرسید و گفت: 👌من با تو بودم تو با که بود…
Signed فاطمه(گسترده ایلیا)
👈یک زن بود 💫 اولین داوطلب واکسن کووید ۱۹ یک زن بود 💫 زنی که چهار فرزند در خانه دارد 💫 اگر سرانجام این واکسن خوش بود؛ یادمان نرود او که دل به دریا زد و جهان را نجات داد 💫 یک مادر بود با چهار فرزند شاید از دستهی همان زنهایی که پارک دوبلشان خوب نیست 💫 یا همانهایی که نق زیاد میزنند شاید از همانهایی که از نظر خیلیها شغل خاصی ندارد و حتی خانهدار است! (خانهداری سختترین کار عالم است). یادمان باشد برای این ک…
Signed فاطمه(گسترده ایلیا)
رژیـــم نگـیـریـد 😳🤨🤫 اگر چاق هستید و بیشتر اضافه وزنتون شکم و پهلوهاتون جمع شده، رژیم غذایی روش مناسبی نیست 😟 رژیم سوخت ساز بدنتون پایین میاره و باعث میشه اضافه وزن بیشتری برگرده وارد کانال زیر بشید تا راه درمان بیش از 8000نفر که به سادگی لاغر شدن رو ببینید👌👌 برای درمان چاقی روی لینک زیر کلیک کنید👇👇 https://t.me/+QvnYEOGgZiWT7mnx https://t.me/+QvnYEOGgZiWT7mnx خیلی زود پاک میشه یکبار برای همیشه لاغر شو. ولاغر بمان…
Signed فاطمه(گسترده ایلیا)
⚠️راز بلوری شدن اندام ها⚠️ 🥵کلیپ بالا رو ببین ☝️😊 😉 تعجب کردی‼️⁉️ بلوری کردن دست و پا فقط تو ۲۰ دقیقه 🤯🤯 دیگه از تیرگی زیر بغل و زانو و نقاط حساب خجالت نکش🤩 درمان کلیه لک و مک و کک های صورت👇👇 😌 https://t.me/+NQdrkFYgjiE2YjJk https://t.me/+NQdrkFYgjiE2YjJk ⭕️ وارد شدن تو این کانال برای هرخانومی واجبه👍چون ازت یه 🧖🏻♀️ملکه👑 میسازه
Signed فاطمه(گسترده ایلیا)
مجموعهای از خاصترین ظروف خانه و پذیرایی که هرجایی پیدا نمیکنی✨ کیفیتی که ارزش خرید دارد🤌🏻 منتخب محصولات ترک و وارداتی🇹🇷🇹🇷 ما روی ارزانی رقابت نمیکنیم؛ روی کیفیت، اصالت و خاص بودن رقابت میکنیم هر مهمانی با دیدن وسایل خانهات میگه: «اینها رو از کجا خریدی؟» روی لینک زیر کلیک کن و وارد شو👇🏻😍 https://telegram.me/joinchat/UljkKBVeqmqdZdw9
Signed فاطمه(گسترده ایلیا)
✳️ببین پوستش چطور شیشه ای و صاف شد😱😳 🈴نه شوخیه، نه تبـ.لیغه — واقعاً نتیجهش رو صبح تو آینه میبینی! 👇 https://t.me/+NQdrkFYgjiE2YjJk https://t.me/+NQdrkFYgjiE2YjJk فقط با یه بار استفاده پوستتو متحو🤯ل کن🤩☝️
Signed فاطمه(گسترده ایلیا)
✨﷽✨ 🌼از لحظات آخر مرگ جدا بترسید ✍️هنگام احتضار و جان کندن عالمی، برایش دعای عدیله میخواندند و او تکرار میکرد؛ وقتی رسیدند به جمله "واشهدان الائمة الابرار" محتضر گفت: این اول حرف است، یعنی قبول ندارم! تا سه مرتبه او را تلقین میکردند و او میگفت این اول حرف است. پس از لحظهای عرق تمام بدنش را گرفت و چشمهایش را باز کرد و با دست اشاره به صندوقی که در گوشه حجره نمود و امر کرد سر آن را باز کردند. و از میان آن یک و…
Signed فاطمه(گسترده ایلیا)
Showing the 12 most recent of 26 posts we hold for @kolbegarm. 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.
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.
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.
@kolbegarm named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all.A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
References a handle that is not a live channel — we have no record it ever was one.
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 9 August 2026 — this entry's latest reading, not the date you are reading this.
“کلبه گرم” (@kolbegarm), 2,586 subscribers as measured 9 August 2026. Telegram Register, tgregister.com/channel/kolbegarm.
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.