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Channel

پزشک تلگرام

@Doctor_tel

On this record: Topic · Observations · Also posting the same content · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Telegram's recommendations · Cite this entry

33,352subscribers

-108 since we began measuring on 5 August 2026

Risers and fallers across the register · movement among entries of 31,623–100,000.

Register entry

Telegram ID-1001003982058
TypeChannel
Username@Doctor_tel
Descriptionاین کانال برای اطلاع رسانی و ارتقای فرهنگ پزشکی و سلامتی میباشد تبلیغات👇👇 ♦️با تخفیف ویژه♦️ https://t.me/mojezetabligh/202
Created29 September 2015measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded5 August 2026
Last confirmed live21 August 2026
Measurements held16
Confirmed unchanged1 time, most recently 21 August 2026
On Telegramt.me/Doctor_tel

Topic

Health & wellness — 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 10 August 2026 and assigned it the closest of 31 fixed categories, at 100% 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.

Content that also appears on other registered channels

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.

Matching posts — open both and compare (6 of the pairs behind the counts below)
Posted firstThenOverlapGap
@akhbarefori/24565526 Aug 2020, 10:34 UTC@Doctor_tel/71559 · this entry31 Aug 2020, 06:36 UTC0.995 days
@akhbarefori/34289723 May 2022, 11:27 UTC@Doctor_tel/82358 · this entry23 May 2022, 15:20 UTC0.983.9 hours
@akhbarefori/54188311 Apr 2025, 10:06 UTC@Doctor_tel/94995 · this entry14 Apr 2025, 17:36 UTC0.973 days
@akhbarefori/2275344 May 2020, 09:05 UTC@Doctor_tel/69525 · this entry5 May 2020, 04:57 UTC0.9720 hours
@akhbarefori/53874326 Mar 2025, 05:10 UTC@Doctor_tel/94932 · this entry8 Apr 2025, 10:12 UTC0.9613 days
@akhbarefori/5326231 Mar 2025, 20:23 UTC@Doctor_tel/94641 · this entry3 Mar 2025, 08:36 UTC0.9536 hours
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@akhbarefori208 (8/8 hand-verifiable sample passed)0.964 days@akhbarefori (2017)
@khabarfouri199 (8/8 hand-verifiable sample passed)0.9738 hours@khabarfouri (16534)
@km_ap107 (8/8 hand-verifiable sample passed)0.973 days@km_ap (9710)
@akharinkhabar61 (8/8 hand-verifiable sample passed)0.962 days@akharinkhabar (574)
@midanesti46 (8/8 hand-verifiable sample passed)0.984 days@midanesti (406)
@gorgantel34 (8/8 hand-verifiable sample passed)0.956 days@gorgantel (322)
@khabari30 (8/8 hand-verifiable sample passed)0.945 days@khabari (282)
@chef2025 (8/8 hand-verifiable sample passed)0.952 days@chef20 (1411)
@farsna25 (8/8 hand-verifiable sample passed)0.963 days@farsna (241)
@salmasnews16 (8/8 hand-verifiable sample passed)0.983 days@salmasnews (133)
@ne_wg13 (8/8 hand-verifiable sample passed)0.9748 hours@ne_wg (103)
@Doctor_0z12 (8/8 hand-verifiable sample passed)0.9731 hoursthis entry (120)

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. 2 of the 741 matches recorded here fall after that date and carried no header when we read them. The rest predate reliable capture and are not evidence either way.

“Published first” means first in this corpus. We hold 14,929 comparable posts for this entry, running 24 May 2019 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.

  • Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
  • 'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
  • shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
  • Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).

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.

Also posting the same content

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.

iRo Proxy | پروکسی
@iRoProxy · Channel
7,865,368 subscribers
اخبارفوری خبرفوری جنگ امریکا فوری
@km_ap · Channel
7,125,741 subscribers
Whale Chanel
@WhAlE_ChAnEl · Channel
6,010,841 subscribers
Matin Crypto | ارز دیجیتال
@MawtinCrypto_vip · Channel
5,907,971 subscribers
خبرفوری ࡆ اخبارفوری ࡆ جنگ فوری امریکا
@ne_wg · Channel
5,598,818 subscribers
خبرفوری
@khabarfouri · Channel
5,057,160 subscribers
دارک پروکسی | Proxy mtproto
@darkproxy · Channel
4,918,871 subscribers
قیمت‌‌‌‌‌ لحظه‌ای دلار طلا خودرو
@se_pz · Channel
4,621,621 subscribers
اخبارفوری خبرفوری جنگ فوری امریکا
@ga_os · Channel
4,589,149 subscribers
اخبارفوری جنگ امریکا و ایران
@fo_rk · Channel
4,547,103 subscribers
قیمت‌‌‌لحظه‌ای دلار طلا خودرو و سکه
@do_l4 · Channel
4,352,378 subscribers
کانال هواداران پرسپولیس
@Perspolisirfans · Channel
4,064,306 subscribers
کانال هواداران استقلال
@es_qb · Channel
4,035,982 subscribers
خبرفوری
@akhbarefori · Channel
4,011,159 subscribers
پروکسی Proxy
@proxy_qavi · Channel
3,531,698 subscribers
شریف | Sharif
@ecoshariff · Channel
3,489,116 subscribers
پروکسی فیلترشکن شکن کانفیگ
@proxymtprotoir · Channel
3,039,918 subscribers
خبرفوری‌نیوز | اخبار جنگ بندرعباس بوشهر
@NW_ZA · Channel
2,971,712 subscribers
اخبارفوری جنگ امریکا فوری/ خبرفوری
@M0_HM · Channel
2,888,150 subscribers
رفاقت
@dosti · Channel
2,796,666 subscribers
کانال هواداران پرسپولیس ایران
@Sorkh1967 · Channel
2,515,131 subscribers
پروکسی ملی | Nova Proxy
@NPROXY · Channel
2,511,429 subscribers
خبر فوری 🔖 اخبار جنگ
@AdsVipz · Channel
2,377,052 subscribers
Proxy MTProto▕ پروکسی ایرانی
@mtpproxyirani · Channel
2,319,551 subscribers
خبر +18 | اخبار جنگ
@khabari_18 · Channel
2,117,134 subscribers
PINK PROXY | پروکسی
@PinkProxy · Channel
2,082,316 subscribers
حامیان پزشکیان
@pezeshkian_com · Channel
2,028,424 subscribers
خبری پلاس|خبرفوری 🔖فوری
@khabari · Channel
2,028,384 subscribers
Proxy Stars | پروکسی
@MTProxyStar · Channel
1,977,234 subscribers
آخرین خبر
@akharinkhabar · Channel
1,972,041 subscribers
کانال هواداران ارتش آبی استقلال
@ss_2e · Channel
1,927,451 subscribers
MTProto Proxy | پروکسی
@proxyir01 · Channel
1,916,425 subscribers
خبرگزاری فارس
@farsna · Channel
1,824,085 subscribers
قیمت لحظه ای دلار طلا خودرو
@dolar_403 · Channel
1,793,688 subscribers
پروکسی دائمی تلگرام
@proxydaemi · Channel
1,766,091 subscribers
کانال هواداران استقلال
@esteghlalfan · Channel
1,761,669 subscribers
خبرفوری | اخبار فوری جنگ آمریکا
@khabarehir · Channel
1,670,981 subscribers
کانال دانلود تکنولوژی هوش مصنوعی
@roidbest · Channel
1,664,948 subscribers
پروکسی | Proxy MTProto
@mtp_roto · Channel
1,639,836 subscribers
خبرفردا
@khabarfarda_ir · Channel
1,593,823 subscribers
𝐀𝐑𝐙 𝐏𝐑𝐎𝐗𝐘 | ارز دیجیتال
@ARZ_PROXY · Channel
1,588,660 subscribers
کانال اخبارفوری ࡆ خبرفوری
@newsfori · Channel
1,584,036 subscribers
هم صدا
@hamsedair · Channel
1,444,175 subscribers
خبر فوری
@khabar_furei · Channel
1,441,483 subscribers
Vahid Online وحید آنلاین
@vahidonline · Channel
1,412,490 subscribers
کانال هواداران استقلال
@Esteghlallinews · Channel
1,388,688 subscribers
Iran International ایران اینترنشنال
@iranintltv · Channel
1,364,722 subscribers
اخبار فوری مملکت | نیوزبین
@newsbin · Channel
1,362,504 subscribers
خبر فوری جنگ ایران
@irzagrosnews · Channel
1,356,192 subscribers
ورزش سه
@varzesh3 · Channel
1,293,967 subscribers

413 more channels are in this same group but not listed individually here.

Growth

33,35233,46033,4065 August 2026 — 33,460 subscribers6 August 2026 — 33,455 subscribers7 August 2026 — 33,449 subscribers8 August 2026 — 33,441 subscribers9 August 2026 — 33,431 subscribers10 August 2026 — 33,426 subscribers11 August 2026 — 33,419 subscribers12 August 2026 — 33,413 subscribers13 August 2026 — 33,406 subscribers14 August 2026 — 33,391 subscribers16 August 2026 — 33,388 subscribers17 August 2026 — 33,382 subscribers18 August 2026 — 33,377 subscribers19 August 2026 — 33,372 subscribers20 August 2026 — 33,365 subscribers21 August 2026 — 33,352 subscribers5 August 202621 August 2026
16 measurements spanning 16 days, net -108. 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 33,336–33,476 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
21 Aug 2026, 18:2733,352-13
20 Aug 2026, 13:2733,365-7
19 Aug 2026, 11:4633,372-5
18 Aug 2026, 14:3733,377-5
17 Aug 2026, 14:2833,382-6
16 Aug 2026, 07:2833,388-3
14 Aug 2026, 18:0833,391-15
13 Aug 2026, 09:3633,406-7
12 Aug 2026, 11:3333,413-6
11 Aug 2026, 10:5833,419-7
10 Aug 2026, 08:4033,426-5
9 Aug 2026, 11:3333,431-10
8 Aug 2026, 12:0633,441-8
7 Aug 2026, 10:4033,449-6
6 Aug 2026, 12:0133,455-5
5 Aug 2026, 17:1933,460first reading

Engagement

16,813 posts held, back to 24 May 2019the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 921 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
5.46%
avg views ÷ 33,352 subscribers
Avg views / post
1,820
100 posts measured
Reaction rate
0.18%
reactions ÷ views · ER floor
Posts in window
100
of 16,813 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. It is computed over the 72 of 100 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 22 August 2026
Posts held16,813 (24 May 201922 August 2026)
Views total182,251
Reactions total252
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken22 Aug 2026, 18:14 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.

What this channel posts

Photos
24,000
Videos
1,870
Links
700

Lifetime counters from Telegram’s own channel header, read 22 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.

Video runtime
9m 06s
Average length
1m 01s

Measured directly from 9 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.

Reaction mix

159 reactions across 45 posts, in 9 distinct kinds. The most used accounts for 66.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
10566.0%
👍3522.0%
😁106.29%
👎21.26%
👏21.26%
😍21.26%
🎃10.629%
🔥10.629%
🤯10.629%

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 933 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 4,352reactions 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 6 October 2025 to 22 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.

Recent posts

22 Aug 2026, 16:49 UTC301 viewsread 22 August 2026
Photo

زعفران می‌تواند آلزایمر را درمان کند! ◽️پژوهش‌های جدید نشان می‌دهند ترکیبات فعال زعفران، از جمله کروسین و سافرانال، ممکن است در محافظت از سلول‌های مغزی و بهبود برخی عملکردهای شناختی نقش داشته باشند. ◽️این یافته‌ها، زعفران را به‌عنوان یک گزینه پژوهشی امیدوارکننده در زمینه پیشگیری یا کاهش روند زوال شناختی و آلزایمر مطرح کرده‌اند؛ با این حال، برای اثبات اثر درمانی قطعی آن به مطالعات بالینی بیشتری نیاز است. + استفاده

22 Aug 2026, 16:49 UTC290 viewsread 22 August 2026
Photo

تاثیرات مثبت پیاده‌روی بر سیستم ایمنی و رفتاری بدن! 📌 @Doctor_tel👩‍⚕

22 Aug 2026, 16:48 UTC275 viewsread 22 August 2026
Photo

🔺متـن بـالا رو دو بـار بخـون قبل از اینکه کار از کار بگذره و زندگیتون با همین چیزای کوچیک بپاشه ، بزنین رو لینک زیر و با مشاور های متخصص همکده درباره هر مشکلی که دارید صحبت کنید👇 https://landing.hamkadeh.com/SUax2 https://landing.hamkadeh.com/SUax2 لینک کانال https://t.me/hamkadehhh

22 Aug 2026, 09:35 UTC809 views1 reactionsread 22 August 2026
Photo

چرا پشه ها بعضی هارا بیشتر نیش میزنند؟ ◽️پژوهش‌ها نشان می‌دهند که بوی بدن و باکتری‌های موجود روی پوست می‌توانند در میزان جذب پشه‌ها به افراد مختلف نقش داشته باشند. دانشمندان با بررسی حدود ۱۲۰ داوطلب و سه گونه مختلف پشه، ترکیبات شیمیایی بوی پوست و باکتری‌های سطح پوست افراد را بررسی کردند تا مشخص شود چرا برخی افراد بیشتر مورد نیش پشه قرار می‌گیرند. ◽️با این حال، هنوز دقیقاً مشخص نیست پشه‌ها چگونه بین بوهای مختلف انتخ

1

22 Aug 2026, 09:35 UTC743 viewsread 22 August 2026
Photo

هشدار سازمان غذا و دارو: با توصیه هوش مصنوعی دارو نخورید! 📌 @Doctor_tel👩‍⚕

22 Aug 2026, 09:34 UTC663 views1 reactionsread 22 August 2026
Photo

📌 خبری خوش برای بیماران دیسک کمر و گردن ✔️ درمان بدون بیهوشی با تزریق گاز اوزون و لیزر درمانی 💠 آرتروز زانو و مفاصل ( شانه، مچ دست و پا، و ... ) 💠بیماریهای اسکلتی عضلانی 💠 آسیبهای ورزشکاران 🔵بدون هیچ عارضه ای و بدون عواقب تخریبی جراحی ✔️جهت مشاوره همین الان به این آیدی پیام بدید @DrseyedamirMJ 📲📲09127370271 📲📲02126701272 📣به کانال سینوهه بپیوندید👇👇 https://t.me/ORTHOPEDIC_sinohe 🆔وبسایت http://www.dr-jamaly.com

1

21 Aug 2026, 09:23 UTC≈1,280 views1 reactionsread 22 August 2026
Video

8 باور اشتباه درباره خواب! باور اشتباه هشتم: «هرچی بیشتر برای خوابیدن تلاش کنم، زودتر خوابم می‌بره.» ❌ ◽️اتفاقاً گاهی برعکسه! وقتی مدام با خودتون می‌گین: «باید بخوابم، چرا خوابم نمی‌بره؟ فردا خسته می‌شم…»، مغز به‌جای اینکه آروم بشه، بیشتر توی حالت هوشیاری و نگرانی قرار می‌گیره. ◽️اینجاست که مفهوم Paradoxical Intention (قصد متناقض) مطرح می‌شه؛ یعنی به‌جای اینکه برای خوابیدن تقلا کنین، فشارِ «حتماً باید بخوابم» رو ک

👍1

21 Aug 2026, 09:23 UTC≈1,400 views2 reactionsread 22 August 2026
Photo

7 صبح سرکار رفتن به اندازه 90 نخ سیگار برای انسان ضرر دارد! 🚬 این ادعا درست است؟ ◽️ادعای مقایسه شروع کار ساعت ۷ صبح با کشیدن ده‌ها نخ سیگار، پشتوانه علمی مشخصی ندارد. با این حال، کمبود خواب، استرس و ناهماهنگی ساعت کاری با ریتم بدن می‌تواند به تمرکز، خلق‌وخو و سلامت آسیب بزند. پس قبل از باور تیترهای عجیب، منبع پژوهش را بررسی کنیم. 📌 @Doctor_tel👩‍⚕

👏2

21 Aug 2026, 09:23 UTC≈1,240 viewsread 22 August 2026
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🤯🤯🤖 عصر جدید درآمد شروع شده… 🚨 هوش مصنوعی فقط برای سرگرمی و ساخت عکس نیست… 💰یاد بگیر باهاش درآمد بسازی! هوش مصنوعی داره بازار کار رو تغییر می‌ده. تو این کانال کاملا رایگان بهت یاد میدیم چطوری از هوش مصنوعی پول در بیاری اونم بدون نیاز به تخصص✅ اینده منتظرت نمیمونه! به جمع کسانی بپیوند که از تکنولوژی، فرصت می‌سازن.🔥🔥🔥👇 https://t.me/+r1XCpLxwwA02MmI0

20 Aug 2026, 12:18 UTC≈1,580 views11 reactionsread 22 August 2026
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شاید باورتون نشه ولی قیافه هممون تو هفته ششم تا هشتم دوران جنینی این شکلی بوده!😂 ‌📌 @Doctor_tel👩‍⚕

😁101

20 Aug 2026, 10:06 UTC≈1,580 viewsread 22 August 2026
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یوگا می‌تواند به بهبود خواب کمک کند! ◽️یک فراتحلیل نشان می‌دهد که یوگای پُرشدت ممکن است در بهبود کیفیت خواب از برخی ورزش‌های دیگر مؤثرتر باشد. پژوهشگران دریافتند که انجام دو جلسه یوگا در هفته، هر بار حداکثر ۳۰ دقیقه و به مدت ۸ تا ۱۰ هفته، بهترین نتیجه را در میان تمرین‌های بررسی‌شده داشته است. پیاده‌روی و تمرین‌های مقاومتی نیز با بهبود خواب مرتبط بودند. + با این حال، پژوهشگران تأکید می‌کنند که برای تأیید این نتایج ب

Showing the 12 most recent of 16,813 posts we hold for @Doctor_tel. 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.

Citation-graph rank

Citation-graph rank — 485,337 of 1,584,142entries 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.

Forward network

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 6 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.

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.

Appears in Telegram’s recommendations for other channels

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.

🍃طبِ معجزه‌گرِ سنتی🍂
@samenteb · 82,074
Telegram ranks this channel #30 of 78 here — alongside 77 others — read 18 August 2026

This channel appears in 1 seed channel's Telegram-generated recommendation list in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.

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 21 August 2026 — this entry's latest reading, not the date you are reading this.

“پزشک تلگرام” (@Doctor_tel), 33,352 subscribers as measured 21 August 2026. Telegram Register, tgregister.com/channel/Doctor_tel.

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.