توی این ویدیو نشون میده که کمبود هرچیزی در بدن چه تاثیری توی چهره میذاره و راه درمانش چیه. @Razcom
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Channel
@razcom
On this record: Topic · Previous handles · Observations · Also posting the same content · Growth · Engagement · What this channel posts · View velocity · Reactions · Stars · Posts · Citations · Handles named that no longer answer · Telegram's recommendations · Domains linked from posts · Cite this entry
1,256,234subscribers
-2,318 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among the largest entries.
| Telegram ID | -1001007997118 |
|---|---|
| Type | Channel |
| Username | @razcom |
| Description | 🔻 سفارش تبلیــغات : 👉 t.me/Tab_Com . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . تمامى مطالب معتبر هستند و اگر مطلبى صحتش زير سوال برود اطلاع رسانى خواهد شد |
| Created | 14 October 2015 — measured — cross-checked against a third-party dataset (ext.tg_channel) |
| First recorded | 6 August 2026 |
| Last confirmed live | 12 August 2026 |
| Measurements held | 8 |
| Confirmed unchanged | 1 time, most recently 12 August 2026 |
| On Telegram | t.me/razcom |
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 8 August 2026 and assigned it the closest of 31 fixed categories, at 52% 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.
Recorded in 2019 as “ Do You Know | مجله ™” — the title held for this same channel (matched by Telegram id, not by handle) in the Pushshift Telegram Dataset, a third-party archive captured in 2019-2020, years before this register made its own first observation. CC BY 4.0, Baumgartner, Zannettou, Squire & Blackburn (2020), Zenodo. A third party’s dated snapshot, not a measurement this register made itself.
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 12 other registered channels. They sit inside a group of 464 channels that share the same post bodies with each other. 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 |
|---|---|---|---|
| @razcom/65410 · this entry3 Feb 2024, 10:00 UTC | @midanesti/687123 Feb 2024, 21:05 UTC | 0.99 | 11 hours |
| @razcom/67953 · this entry1 Dec 2024, 10:01 UTC | @midanesti/702461 Dec 2024, 13:01 UTC | 0.99 | 3.0 hours |
| @razcom/67340 · this entry11 Sept 2024, 20:09 UTC | @midanesti/6974612 Sept 2024, 13:46 UTC | 0.98 | 18 hours |
| @razcom/69535 · this entry26 Aug 2025, 17:31 UTC | @midanesti/7169429 Aug 2025, 09:56 UTC | 0.98 | 3 days |
| @razcom/64152 · this entry9 Oct 2023, 16:29 UTC | @midanesti/683479 Oct 2023, 18:13 UTC | 0.98 | 1.7 hours |
| @razcom/69408 · this entry2 Aug 2025, 20:23 UTC | @midanesti/715423 Aug 2025, 05:17 UTC | 0.97 | 8.9 hours |
| Channel | Matching posts | Text overlap | Typical gap | Published first |
|---|---|---|---|---|
| @midanesti | 422 (8/8 hand-verifiable sample passed) | 0.97 | 11 hours | this entry (383–39) |
| @km_ap | 82 (8/8 hand-verifiable sample passed) | 0.95 | 13 hours | @km_ap (66–16) |
| @akhbarefori | 58 (8/8 hand-verifiable sample passed) | 0.96 | 12 hours | @akhbarefori (42–16) |
| @khabari | 57 (8/8 hand-verifiable sample passed) | 0.97 | 14 hours | @khabari (49–8) |
| @molanasrodin | 56 (8/8 hand-verifiable sample passed) | 0.96 | 16 hours | @molanasrodin (35–21) |
| @jafarabad | 38 (8/8 hand-verifiable sample passed) | 0.96 | 14 hours | @jafarabad (21–17) |
| @khabarfouri | 32 (8/8 hand-verifiable sample passed) | 0.97 | 7.6 hours | @khabarfouri (26–6) |
| @nationalgeographicfarsi | 28 (8/8 hand-verifiable sample passed) | 0.96 | 25 hours | this entry (22–6) |
| @torbath | 25 (8/8 hand-verifiable sample passed) | 0.93 | 12 hours | this entry (13–12) |
| @ne_wg | 22 (8/8 hand-verifiable sample passed) | 0.95 | 14 hours | @ne_wg (18–4) |
| @khandepare | 14 (8/8 hand-verifiable sample passed) | 0.96 | 17 hours | @khandepare (10–4) |
| @salmasnews | 13 (8/8 hand-verifiable sample passed) | 0.98 | 8.0 hours | @salmasnews (9–4) |
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 388 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 2,928 comparable posts for this entry, running 12 August 2023 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 464, the earliest publisher we hold is @akharinkhabar. That is a statement about our reading window, not a claim of authorship.
Recorded under the keys clone_copy · clone_mutual · 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 463 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.
413 more channels are in this same group but not listed individually here.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 12 Aug 2026, 17:13 | 1,256,234 | -417 |
| 11 Aug 2026, 19:12 | 1,256,651 | +184 |
| 10 Aug 2026, 20:23 | 1,256,467 | +192 |
| 9 Aug 2026, 23:35 | 1,256,275 | +836 |
| 8 Aug 2026, 21:04 | 1,255,439 | -1,207 |
| 7 Aug 2026, 23:27 | 1,256,646 | -1,212 |
| 6 Aug 2026, 20:25 | 1,257,858 | -694 |
| 6 Aug 2026, 00:41 | 1,258,552 | first reading |
4,556 posts held, back to 12 August 2023 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 299 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 12 August 2026 |
|---|---|
| Posts held | 4,556 (12 August 2023 – 12 August 2026) |
| Views total | 3,910,900 |
| Reactions total | 42,565 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 13 Aug 2026, 00:51 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.
Lifetime counters from Telegram’s own channel header, read 12 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
Measured directly from 27 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.
How fast this channel’s own posts pick up views, from re-reading them repeatedly in the hours and days after they were published rather than the single reading most entries on this register get. Coverage is early and only a small minority of channels hold it at all — a gap in this section means the post has not been re-read again yet, not that nothing happened.
Computed from 24 of this channel’s own posts over the last 30 days: across 23of this channel’s own posts with a clear reading, a typical one reaches half of its last-observed view count within 7.9 hours of being posted; a typical post has already reached 29.8% of its 24-hour view count within the first hour, and 63.9% within the first six; the median 24-hour reach across those posts is 28,800 views — 2.29% of this channel’s own subscriber count (90th percentile 34,200).
| Post | Readings | Latest reading | Curve | 24h reach | Half of last-observed views by |
|---|---|---|---|---|---|
| /7031612 Aug 2026, 14:43 UTC | 1818 minutes – 10 hours old | 23,400 views ~236 reactions | 60 minutes: 8,726 interp. → 3.0 hours: 14,700 → 6.0 hours: 20,400still climbing at last reading | not yet at 24h | 1.8 hoursprovisional — final view count still climbing |
| /7031511 Aug 2026, 12:08 UTC | 6718 minutes – 37 hours old | 45,600 views ~620 reactions | 60 minutes: 10,777 interp. → 3.0 hours: 17,400 → 6.0 hours: 22,100 → 12 hours: 28,800 → 24 hours: 34,200still climbing at last reading | 34,200measured | 6.1 hours |
| /7031410 Aug 2026, 13:53 UTC | 1007 minutes – 2 days old | 58,600 views ~832 reactions | 60 minutes: 11,758 interp. → 3.0 hours: 19,235 interp. → 6.0 hours: 26,028 interp. → 12 hours: 31,200 → 24 hours: 43,400 → 2 days: 53,200still climbing at last reading | 43,400measured | 8.1 hours |
| /703139 Aug 2026, 18:15 UTC | 12623 minutes – 3 days old | 57,500 views ~285 reactions | 60 minutes: 7,770 interp. → 3.0 hours: 13,309 interp. → 6.0 hours: 16,000 → 12 hours: 18,800 → 24 hours: 35,800 → 2 days: 50,000still climbing at last reading | 35,800measured | 20 hours |
| /703129 Aug 2026, 18:01 UTC | 7137 minutes – 45 hours old | 40,200 views ~21 reactions | 60 minutes: 8,263 interp. → 3.0 hours: 13,300 → 6.0 hours: 15,900 → 12 hours: 18,300 → 24 hours: 31,200still climbing at last reading | 31,200measured | 15 hours |
| /703109 Aug 2026, 17:59 UTC | 11738 minutes – 3 days old | 38,400 views ~308 reactions | 60 minutes: 7,745 interp. → 3.0 hours: 12,200 → 6.0 hours: 14,200 → 12 hours: 16,300 → 24 hours: 25,400 → 2 days: 33,100still climbing at last reading | 25,400measured | 19 hours |
| /703119 Aug 2026, 17:59 UTC | 12438 minutes – 3 days old | 46,300 views ~770 reactions | 60 minutes: 8,454 interp. → 3.0 hours: 13,400 → 6.0 hours: 15,800 → 12 hours: 18,200 → 24 hours: 30,700 → 2 days: 40,600still climbing at last reading | 30,700measured | 20 hours |
| /703099 Aug 2026, 16:45 UTC | 118under a minute – 3 days old | 38,300 views ~431 reactions | 60 minutes: 8,890 → 3.0 hours: 16,249 interp. → 6.0 hours: 19,300 → 12 hours: 20,600 → 24 hours: 27,600 → 2 days: 33,900still climbing at last reading | 27,600measured | 5.6 hours |
Curve is every standard checkpoint we hold a reading for (+1h, +3h, +6h, +12h, +24h, +48h, +7d after posting) — measured where a real reading landed close enough to that age, interpolated where it did not but readings on both sides let one be worked out between them. Nothing is ever extrapolated past the last real reading. Latest reading is the newest view and reaction count we hold for the post, side by side, so a gap between how views and reactions moved is visible without following it into the Observations section above. 24h reach is that one checkpoint on its own, labelled the same way. Half of last-observed viewsis the age at which a post’s view count crossed half of the highest figure we have read for it so far — an upper bound when the very first reading was already past half (we cannot see the actual crossing), and biased low while the post is still climbing, since “half of final” is dividing by a number that has not finished growing yet. Both caveats are printed inline wherever they apply, never silently dropped.
21,481 reactions across 38 posts, in 9 distinct kinds. The most used accounts for 43.9% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 9,429 | 43.9% | |
| 👍 | 5,223 | 24.3% | |
| 🤯 | 3,033 | 14.1% | |
| 😭 | 989 | 4.60% | |
| 👎 | 960 | 4.47% | |
| 🗿 | 684 | 3.18% | |
| 🥰 | 664 | 3.09% | |
| 🔥 | 281 | 1.31% | |
| 👀 | 218 | 1.01% |
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 1,000 of the 1,000 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 1,319,585reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 1,000 most recent posts we hold (the sample is capped at 1,000), published 28 March 2025 to 12 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.
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @razcom. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 1,000 most recent posts we hold for this entry (the sample is capped at 1,000), published 28 March 2025 to 12 August 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
توی این ویدیو نشون میده که کمبود هرچیزی در بدن چه تاثیری توی چهره میذاره و راه درمانش چیه. @Razcom
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🇨🇴 زلزله بسیار شدید کلمبیا این فیلم مربوط به زلزله قدرتمند دیروز صبح (۱۰ آگوست) در غرب کلمبیا است؛ زلزلهای با بزرگی حدود ۷.۴ که تکانهایش در چندین شهر احساس شد و خسارت زیادی بهجا گذاشت. 🏚️ طبق آخرین گزارشها، حداقل ۱۳۲ نفر جان باختند و بیش از ۵۷۰ نفر زخمی شدند و عملیات جستوجو و نجات همچنان ادامه دارد. 🚑🆘 تصاویری که مردم از لحظه زلزله منتشر کردند واقعاً وحشتناک است... 😱🇨🇴 @Razcom
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🚽 داداشا با گوشی نرید دستشویی! 😂 یه مرد جوون توی چین طبق عادت با گوشیش رفت دستشویی و انقدر سرگرم بازی شد که حدود نیمساعت همونجا نشست.🚽🚽 وقتی خواست بلند شه، متوجه شد یه توده بزرگ از مقعدش بیرون زده! 😐 بعد از مراجعه به بیمارستان مشخص شد دچار «افتادگی رکتوم» شده؛ یعنی بخشی از انتهای روده از مقعد بیرون اومده و کارش به جراحی کشیده. البته گوشی مستقیماً باعث این اتفاق نمیشه؛ مشکل اینجاست که سرگرم شدن با گوشی باعث میشه…
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👶 چی به رشد بهتر بچهها کمک میکنه؟ قد کودک بیشتر از هر چیزی به ژنتیک بستگی داره؛ اما ژنتیک تنها عامل نیست. تغذیه مناسب، خواب کافی و فعالیت بدنی کمک میکنن کودک به حداکثر پتانسیل رشد طبیعی خودش برسه. مثلاً: 🥚 غذای سالم و پروتئین کافی به جای خوراکیهای کمارزش 😴 خواب کافی به جای شببیداری 🏃♂️ بازی و تحرک به جای ساعتها نشستن پای گوشی و تبلت 🥛 دریافت کافی کلسیم، ویتامین D و سایر مواد مغذی البته هیچ غذا یا ورزشی ق…
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فکت: پسرا تو هر سنی با این ویدیو عشق میکنن. 😈🔫 @Razcom
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ساحل شگفتانگیز ساندویچ، نامیبیا 🔻جایی که تپههای شنی در اقیانوس آرام فرو میروند. @Razcom
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💍 مجردها در ایران چند نفرن؟ 🤔 آمارهایی مثل «۴۲ میلیون مجرد» که این روزها میبینیم دقیق نیست، اما آمار واقعی هم عدد کمی نیست! طبق آماری که به نقل از مرکز آمار ایران اعلام شده، حدود ۱۷ میلیون نفر از جوانان ایرانی هنوز هیچوقت ازدواج نکردن 💍؛ حدود ۹.۵ میلیون مرد و ۷.۵ میلیون زن. از اون طرف آمار جدیدتری که مسئول مرکز جوانی جمعیت وزارت بهداشت اعلام کرده، میگه حدود ۱.۲ میلیون نفر به سن «تجرد قطعی» رسیدن؛ یعنی حدود ۸۲۰ ه…
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یه شیر دریایی در آرژانتین پریده روی قایق ماهیگیری، رفته یک تختخواب گرم و نرم پیدا کرده و طوری گرفته خوابیده که ماهیگیرها تازه با صدای خروپفِ بلندش متوجه شدن مهمان ناخوانده دارن! @Razcom
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ترفند همه شعبدهها رو یهجا لو داد :) @Razcom
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🏃♂️ ورزش نکردن حتی میتونه از سیگار هم خطرناکتر باشه! وقتی حرف از مرگومیر و بیماری میشه، احتمالاً اولین چیزی که به ذهنتون میاد سیگاره. ولی یه تحقیق بزرگ روی بیش از ۱۲۲ هزار نفر به یه نتیجه جالب رسید: آمادگی جسمانی خیلی پایین، با خطر مرگ بیشتری همراه بود و این ارتباط حتی از سیگار کشیدن و دیابت هم قویتر دیده شد. یعنی چی؟ یعنی تحرک و ورزش فقط برای لاغر شدن یا عضله ساختن نیست؛ یکی از مهمترین کارهاییه که میتونید …
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جراح در حال بخیه زدن یک بادکنک بدون اینکه بترکد! 🎈🩺 این تمرین یکی از دشوارترین روشهای آموزش جراحی و تقویت مهارتهای حرکتی ظریف در رزیدنتی و جراحی است. کوچکترین فشار اضافی یا زاویهی نامناسب سوزن، باعث ترکیدن بادکنک میشود. این سطح از مهارت نشاندهنده هزاران ساعت بیخوابی و تمرین میباشد. ⏳💪 @Razcom
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فقط اون لحظه ای که سرپا شد از ته دلم ذوق کردم 🥹❤️ @Razcom
❤557😭60🥰20👍19🗿2🤯2
Showing the 12 most recent of 4,556 posts we hold for @razcom. 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.
Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.
Citation-graph rank — 33,317 of 1,151,006entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
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.
Named by 35 registered channels — 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. The 24 listed below are the most frequent namers; the rest are counted above but not each listed.
Named by
Channels on the register whose posts name this channel's handle.
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.
@razcom named 4 handles 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.
Telegram’s own answer, not this register’s.When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Read from Telegram’s recommendation API, most recently 8 August 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
This channel appears in 369 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
3 domainsthis channel’s own posts have linked to, measured by scanning the post bodies themselves — not the channel’s description, which is the separate Declared links section below when this entry has one. Appearing here is not a claim about who runs the linked site or why the channel linked to it; an advertisement, a news citation and a malicious link all leave the same kind of row.
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 August 2026 — this entry's latest reading, not the date you are reading this.
“ Do You Know | مجله ™” (@razcom), 1,256,234 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/razcom.
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.