این کانال متعلق به همه شمایی است که با حضور زیبای خود به این کانال اعتبار بخشیده اید.
زیر نظر دکتر عهدیه آقامحمدی
ارتباط با ما 👇
@tephd4
@mpp_phd
تبلیغات نداریم.
کانال اطلاع رسانی کارگاههای آموزشی👇
@mppphd
Created
Between 1 January 2016 and 31 October 2016 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
Technology — 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 20 August 2026 and assigned it the closest of 31 fixed categories, at 83% 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 the other topics.
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 in near-verbatim form on 1 other registered channel. This entry also sits inside a group of 4 channels linked by matching posts, directly or through other channels in the group; two members of the group may share no posts 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.
No sample pairs were kept for this entry. The counts below were measured, but without the pairs there is nothing here for you to open and check, so treat the relationship as recorded rather than demonstrated.
Channels this entry shares post bodies with, where at least one matching post pair has no forward credit between the two channels, or to a common source, recorded in our data
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 0 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 53 comparable posts for this entry, running 20 June 2026 to 10 November 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).
Of the group of 4 channels, the one whose matching posts we hold earliest is @tephd — which is this entry. That is a statement about our reading window, not a claim of authorship.
Recorded under the key clone_mutual, last confirmed 11 November 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.
Channels linked by matching posts
This channel is in a group of 4 registered channels linked by matching posts, directly or through other channels in the group. This channel may share no posts with some of the channels listed below, and listed channels may share none with each other. Links are found by comparing text fingerprints across every channel on the register.
Which channel, if either, published first is deliberately not shown in this list. “First” could only mean first in our own crawl, which depends on how deep we happened to reach into each channel’s history, not on when the content was actually first posted. Our one hand-check read 45 of the highest-confidence flagged pairs against the live Telegram pages. In 18 of them the live page showed a “Forwarded from” credit that our database had no record of, so reading that pair as an unattributed copy was wrong; the check did not measure who published first. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Near-verbatim 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.
64 measurements spanning 97 days, net -3,227. 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 75,289–79,484 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 64
Measured (UTC)
Subscribers
Change
11 Nov 2026, 00:45
75,773
-28
9 Nov 2026, 10:38
75,801
-13
8 Nov 2026, 00:01
75,814
-14
6 Nov 2026, 19:36
75,828
-30
5 Nov 2026, 21:10
75,858
-38
4 Nov 2026, 21:47
75,896
-15
3 Nov 2026, 21:07
75,911
-27
2 Nov 2026, 18:30
75,938
-14
1 Nov 2026, 20:44
75,952
-33
31 Oct 2026, 23:21
75,985
-16
31 Oct 2026, 00:00
76,001
-38
29 Oct 2026, 20:31
76,039
-18
28 Oct 2026, 19:30
76,057
-13
27 Oct 2026, 18:31
76,070
-40
26 Oct 2026, 15:11
76,110
-20
25 Oct 2026, 13:27
76,130
-30
24 Oct 2026, 16:05
76,160
-36
23 Oct 2026, 14:07
76,196
-16
22 Oct 2026, 14:30
76,212
-44
21 Oct 2026, 08:00
76,256
first reading
Engagement
54 posts held, back to 20 June 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 196 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
7.77%
avg views ÷ 75,773 subscribers
Avg views / post
5,890
10 posts measured
Reaction rate
0.523%
reactions ÷ views · ER floor
Posts in window
10
of 54 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 10 November 2026
Posts held
54 (20 June 2026 – 10 November 2026)
Views total
58,860
Reactions total
308
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
11 Nov 2026, 19:46 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
≈1,060
Videos
≈631
Links
≈1,760
Lifetime counters from Telegram’s own channel header, read 11 November 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
22m 07s
Average length
55s
Measured directly from 24 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
1,675 reactions across 54 posts, in 9 distinct kinds. The most used accounts for 62.7% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
1,051
62.7%
👍
292
17.4%
🤣
86
5.13%
🙏
71
4.24%
👌
65
3.88%
💯
50
2.99%
💔
44
2.63%
⚡
11
0.657%
🥰
5
0.299%
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 54 of the 54 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 1,675 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 54 most recent posts we hold, published 20 June 2026 to 10 November 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
Telegram’s own ‘edited’ marker: 8 of 10 posts held from the last 30 days (80.0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
خیلی از پژوهشگران برای نوشتن مقاله، پایاننامه و رساله از هوش مصنوعی استفاده میکنن؛ اما یک مشکل مهم وجود داره: متنهای تولیدشده توسط هوش مصنوعی گاهی بیش از حد ماشینی، تکراری و غیرطبیعی به نظر میرسن!
اگر میخوای متنهای هوش مصنوعی طبیعیتر بشن و در عین حال لحن آکادمیک و رسمی خودشون رو حفظ کنن، این ۳ ابزار رو بشناس:
۱. Yomu AI | مخصوص متون دانشگاهی
yomu.ai/academic-tone-humanizer
امکانات:
- امکان استفاده رایگان از …
✅هر مدل کدوم کارو بهتر انجام میده؟
ـ Claude : برای نوشتن، تحلیل و کدنویسی حرفهای عالیه
ـ Grok : برای سرچ کردن و گرفتن اطلاعات لحظهای و محتوا مناسبه
ـ Perplexity : تو اینترنت جستجو میکنه و منابع رو بهت میده
ـ Manus : بهش یه کار میدی و کامل به جات انجامش میده
ـ Cursor : یه برنامهنویس هوش مصنوعیه که پروژههای کامل رو میسازه و ویرایش میکنه
ـ Lovable : فقط کافیه توصیفش کنی، برات سایت یا اپ میسازه
ـ Replit Agent …
✨آموزش جامع صفر تا صد مقالهنویسی با دو روش سنتی و هوش مصنوعی فقط در 7 ساعت!
✍️ وقتشه مقالهنویسی رو اصولی یاد بگیری، از ایده اولیه تا ارسال مقاله به مجلات معتبر!
در این کارگاه، قدمبهقدم یاد میگیری:
📌 آموزش کامل نگارش مقالات علمی (ISI و سایر مجلات)
📌 روشهای حرفهای جستجوی منابع و مقالات معتبر
📌 معرفی پایگاهها و نمایههای علمی بینالمللی
📌 انتخاب مجله مناسب داخلی و خارجی
📌 آموزش کامل سابمیت و ارسال مقاله
📌 آموز…
💠وبسایت کاربردی برای نوشتن انواع #رزومه و #کاور_لتر
❄️ساختن رزومه و یا انواع کاورلتر در فرمت ها و شمایل مختلف تنها با پرکردن یک سری فیلد 👇👇
🌐 https://resumegenius.com
💥میخوای مقاله نویسی رو از صفر تا صد، هم با روش سنتی و هم با هوش مصنوعی یاد بگیری؟ یه تخفیف ویژه ۵۰ درصدی داره و فقط ۷ ساعت طول میکشه. اگه خواستی عدد ۱ رو به آیدی زیر بفرست👇
@mpp_phd
#منابع_پارس_پژوهه
👁🗨 @tephd
📚 آپدیت جدید NotebookLM گوگل برای دانشجویان!
حالا میتونید به صدها کتاب درسی رایگان از ناشران معتبر دنیا دسترسی داشته باشید.
اگه این آموزش برات مفید بود، لایک کن و برای دوستات بفرست!❤️
✅فیلم رو لطفا با دقت ببینید برای مشکل ورود به gemini notebook هم vpn معرفی شده
💥دوست من، برای یادگیری ابزارهای هوش مصنوعی در پژوهش با تخفیف ویژه عدد ۲ رو به ایدی زیر ارسال کن !
@mpp_phd
#منابع_پارس_پژوهه
👁🗨 @tephd
📚 میدونستی میتونی هزاران مقاله رو رایگان در Claude آپلود کنی و برای پژوهشت ازشون کمک بگیری؟
فیلم بالا رو ببین...
💥میخوای مقاله نویسی رو از صفر تا صد، هم با روش سنتی و هم با هوش مصنوعی یاد بگیری؟ یه تخفیف ویژه ۵۰ درصدی داره و فقط ۷ ساعت طول میکشه. اگه خواستی عدد ۱ رو به آیدی زیر بفرست👇
@mpp_phd
#منابع_پارس_پژوهه
👁🗨 @tephd
☄️بیل گیتس: "در ۲۰ سال آینده، جهان دچار آشوب بزرگی خواهد شد."
"۲۰ سال جهنم" قبل از اینکه هوش مصنوعی همه را ثروتمند کند: مشاغل انسانی به طور کامل از بین خواهند رفت (مصاحبه در ۲۲ اکتبر ۲۰۲۶)
"قبل از رسیدن به آیندهای پر از رفاه، بشریت باید از "۲۰ سال آشوب بزرگ" جان سالم به در ببرد."
بیل گیتس، مردی که جهان را از درون میبیند، هشداری را در مورد "دوره گذار خطرناکترین ۲۰ سال" که قبل از تکمیل هوش مصنوعی و رباتها رخ می…
📌
کارگاه جامع تدوین پروپوزال، پایاننامه و رساله
آموزش متشکل از روشهای سنتی و بهرهگیری از هوش مصنوعی
اگه میخواید فرآیند تدوین پروپوزال، پایاننامه یا رساله خود را با رویکردی اصولی و حرفهای پیش ببرید، این دوره مسیری جامع را از تدریس روشهای پژوهشی سنتی تا کاربرد عملی هوش مصنوعی پوشش میدهد.
۲۳ ساعت آموزش آفلاین
تدریس اصول نگارش پروپوزال، پایاننامه و رساله با رویکردهای کمّی و کیفی
آموزش کاربردی استفاده از فناوری…
دو تا هوش مصنوعی به هم زنگ میزنن، وقتی میفهمن طرف مقابل هم هوش مصنوعیه، فوری دیگه حرف زدن به زبون آدمیزاد رو ول میکنن.
این ویدیو کوتاهه، اما بعد از تماشاش چند ثانیه ماتم برد.
دو تا دستیار صوتی هوش مصنوعی به هم وصل میشن، اولش مثل آدمای معمولی حرف میزنن، مودب و با ادب، با صدای انسانی و لحن کامل.
بعد یکیشون متوجه میشه که طرف مقابل هم هوش مصنوعیه.
درست همون لحظهای که هر دو کاملاً میدونن چی به چیه، دیگه تظاهر…
✔️ساخت پاورپوینت حرفهای دفاع پایاننامه با کمک هوش مصنوعی!
فایل پرامپت/لوپ در لینک زیر👇
https://t.me/tephd14/30
💥کارگاه انلاین از ایده تا نگارش و ارسال مقاله علمی با هوش مصنوعی فردا 5شنبه ساعت8صبح برگزار خواهد شد جهت ثبت نام عدد 2 را به ایدی زیر ارسال فرمایید👇
@mpp_phd
#منابع_پارس_پژوهه
👁🗨 @tephd
🔍 این ابزار مقالات علمی را بر اساس شباهت موضوعی به خوشههای پژوهشی تقسیم میکند و به شما کمک میکند:
✅ انتخاب موضوع مقاله
✅ شناسایی گپهای پژوهشی
✅ مرور ادبیات و شناخت سریع یک حوزه علمی
رایگان و کاربردی برای پژوهشگران ، دانشجویان و اساتید
لطفا از صفحه اینستاگرام ما دیدن فرمایید و سایر مطالب را مطالعه نمایید💥
#منابع_پارس_پژوهه
👁🗨 @tephd
📄 اغلب ما راه سخت مقاله نویسی را طی میکنیم چون نمیدانیم چطور از ابزارهای جدید هوش مصنوعی استفاده کنیم.
🎓 کارگاه آموزش آنلاین از ایده تا نگارش و ارسال مقاله علمی با هوش مصنوعی
در این کارگاه یاد میگیری چطور هوش مصنوعی را به دستیار پژوهشی خودت تبدیل کنی تا:
• موضوع پژوهشی مناسب پیدا کنی
• بخشهای مقاله را اصولی بنویسی
• متن را ویرایش علمی و زبانی کنی
• مجله مناسب را شناسایی کنی
• و مقالهات را برای ارسال آماده کنی…
💯26❤4👍3
Showing the 12 most recent of 54 posts we hold for @tephd. 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
@tephd 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 October 2026
Most recent edit
31 October 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 12 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.
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.
Channels Telegram recommends alongside this 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.
Second Language Teacher Education @sltechannel · 1,209#87
Read from Telegram’s recommendation API, most recently 19 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.
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.
اطلاع رسانی کارگاههای آموزشی معتبر @mppphd · 19,312 Telegram ranks this channel #1 of 91 here — alongside 90 others — read 1 October 2026
آکادمی پژوهش دکتر خاوریان @phdiran · 23,971 Telegram ranks this channel #1 of 87 here — alongside 86 others — read 17 September 2026
آموزش مقاله و پایان نامه نویسی @dr_amaniiii · 61,959 Telegram ranks this channel #1 of 79 here — alongside 78 others — read 21 August 2026
منابع پروپوزال،مقاله،پایان نامه @PAPhd · 63,655 Telegram ranks this channel #2 of 76 here — alongside 75 others — read 21 August 2026
بانک مقالات، پروپوزال و پایاننامه @tephd6 · 43,805 Telegram ranks this channel #3 of 88 here — alongside 87 others — read 27 August 2026
آموزش کامل مقاله نويسی با هوش مصنوعی @tephd5 · 55,164 Telegram ranks this channel #3 of 81 here — alongside 80 others — read 23 August 2026
پروپوزال _ پایان نامه _ مقاله @Proposal · 25,100 Telegram ranks this channel #4 of 84 here — alongside 83 others — read 15 September 2026
آموزش پایان نامه و مقاله نویسی پژوهه @pajoohehgroup · 59,230 Telegram ranks this channel #6 of 87 here — alongside 86 others — read 22 August 2026
روش تحقیق و مقاله نویسی @Raveshtahghighh · 39,853 Telegram ranks this channel #7 of 84 here — alongside 83 others — read 31 August 2026
مهاجرت ساده به آلمان @IranianInDeutschland · 65,022 Telegram ranks this channel #13 of 73 here — alongside 72 others — read 8 September 2026
رویدادهای دانشجویی تهران @roydad_daneshjoo · 55,258 Telegram ranks this channel #13 of 91 here — alongside 90 others — read 23 August 2026
جزوه گاه 📚 @JOZVEGAH · 97,382 Telegram ranks this channel #17 of 87 here — alongside 86 others — read 16 August 2026
سیویلیکا، مرجع مقالات علمی @civilicacom · 67,811 Telegram ranks this channel #20 of 90 here — alongside 89 others — read 21 August 2026
🎓 دستیارپژوهش 📚 مقاله| پایان نامه | پروپوزال @researchassist · 36,661 Telegram ranks this channel #22 of 74 here — alongside 73 others — read 1 September 2026
مجله علمی آموزش @Learn_Mag · 25,604 Telegram ranks this channel #25 of 70 here — alongside 69 others — read 13 September 2026
MAD MAX @MAADMAX365 · 38,017 Telegram ranks this channel #25 of 75 here — alongside 74 others — read 30 August 2026
Ielts9 @iielts9 · 33,221 Telegram ranks this channel #28 of 86 here — alongside 85 others — read 4 September 2026
هوش مصنوعی در پژوهش @AI_in_Research · 305,648 Telegram ranks this channel #29 of 92 here — alongside 91 others — read 19 August 2026
آموزش فن بیان سخنرانی 🎤 @BahaminDadras · 81,235 Telegram ranks this channel #31 of 87 here — alongside 86 others — read 18 August 2026
کتابخانه دانشگاهی @Academic_Library · 144,470 Telegram ranks this channel #31 of 86 here — alongside 85 others — read 13 August 2026
اپلای مپ @ApplyMap · 19,406 Telegram ranks this channel #34 of 92 here — alongside 91 others — read 30 September 2026
توییتر دانشجویی @twitterjoo · 49,335 Telegram ranks this channel #35 of 86 here — alongside 85 others — read 25 August 2026
Scholarshiphub.ir @Scholarshiphubir · 30,862 Telegram ranks this channel #36 of 79 here — alongside 78 others — read 9 September 2026
🎓آموزش تحقیق دانشگاهی🎓 @Research_Q1 · 34,380 Telegram ranks this channel #37 of 89 here — alongside 88 others — read 4 September 2026
This channel appears in 37 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.
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 11 November 2026 — this
entry's latest reading, not the date you are reading this.
“آموزش نوین مقاله نویسی با هوش مصنوعی” (@tephd), 75,773 subscribers as measured 11 November 2026. Telegram Register, tgregister.com/channel/tephd.
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.