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 19 August 2026 and assigned it the closest of 31 fixed categories, at 97% 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.
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 -2,160. 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 54,840–57,648 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 64
Measured (UTC)
Subscribers
Change
10 Nov 2026, 15:01
55,164
-38
8 Nov 2026, 23:48
55,202
-17
7 Nov 2026, 14:05
55,219
-19
6 Nov 2026, 13:05
55,238
-32
5 Nov 2026, 10:46
55,270
-11
4 Nov 2026, 12:48
55,281
-15
3 Nov 2026, 10:19
55,296
-24
2 Nov 2026, 07:16
55,320
-21
1 Nov 2026, 07:40
55,341
-14
31 Oct 2026, 07:36
55,355
-19
30 Oct 2026, 06:46
55,374
-30
29 Oct 2026, 05:57
55,404
-12
28 Oct 2026, 01:41
55,416
-16
27 Oct 2026, 03:27
55,432
-29
26 Oct 2026, 03:15
55,461
-8
25 Oct 2026, 01:37
55,469
-28
24 Oct 2026, 01:11
55,497
-11
23 Oct 2026, 01:08
55,508
-17
21 Oct 2026, 23:16
55,525
-14
20 Oct 2026, 15:07
55,539
first reading
Engagement
43 posts held, back to 30 May 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 198 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
2.74%
avg views ÷ 55,164 subscribers
Avg views / post
1,510
8 posts measured
Reaction rate
0.339%
reactions ÷ views · ER floor
Posts in window
8
of 43 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
43 (30 May 2026 – 10 November 2026)
Views total
12,089
Reactions total
41
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
11 Nov 2026, 13:02 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
605
Videos
532
Links
611
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. Below Telegram’s rounding threshold, so these counts are exact.
Video runtime
9m 05s
Average length
1m 08s
Measured directly from 8 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
292 reactions across 42 posts, in 9 distinct kinds. The most used accounts for 58.9% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
172
58.9%
👍
59
20.2%
🙏
19
6.51%
👌
13
4.45%
😢
11
3.77%
👏
8
2.74%
🔥
8
2.74%
🎉
1
0.342%
😍
1
0.342%
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 43 of the 43 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 303 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 43 most recent posts we hold, published 30 May 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: 5 of 8 posts held from the last 30 days (62.5%) 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).
ابزار جنجالی
🤖ابزار Paper2Agent؛ مقاله علمی را به همکار پژوهشیِ فعال تبدیل میکند!
تصور کنید بتوانید از یک مقاله علمی سؤال بپرسید، روش پژوهش و دادههای آن را بررسی کنید، تحلیلهای قابلبازتولید انجام دهید و حتی در صورت سازگاری، دانش چند مقاله را با هم ترکیب کنید.
ابزار Paper2Agent با تبدیل دانش، روشها، دادهها و کدهای مقاله به قابلیتهای تعاملی، مسیر تازهای برای پژوهش با هوش مصنوعی ایجاد میکند.
📄 مقاله Nature:…
✨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…
30 وبسایت هوش مصنوعی که ممکن است "غیرقانونی" به نظر برسند، اما قانونی هستند:
1. https://raphael.ai/ — تولید تصاویر با هوش مصنوعی، رایگان و نامحدود، با کیفیتی نزدیک به Midjourney.
2. https://www.krea.ai/ — تولید تصاویر با هوش مصنوعی در لحظه، همزمان با طراحی.
3. https://magnific.ai/ — بزرگنمایی تصاویر با هوش مصنوعی، با تکمیل خودکار جزئیات.
4. https://clipdrop.co/ — حذف پسزمینه، تنظیم نور و حذف اشیاء با هوش م…
🔬 مسیر پژوهش از یک سؤال شروع میشود و به کشف و یادگیری میرسد!
برای انجام یک پژوهش علمی، فقط داشتن ایده کافی نیست؛ باید مسیر مشخصی را از ابتدا تا انتها طی کنید. 👇
📌 ۱۰ مرحله اصلی فرایند پژوهش:
۱️⃣ پرسش پژوهش: دقیقاً میخواهید چه مسئلهای را بررسی کنید؟
۲️⃣ مرور ادبیات: پیش از شما چه پژوهشهایی انجام شده و چه شکافهایی باقی مانده است؟
۳️⃣ فرضیه یا اهداف پژوهش: قرار است چه چیزی را بررسی یا آزمون کنید؟
۴️⃣ روششناسی: چ…
📌
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…
👇امتحانش کن، باحاله!
برو تو ChatGPT، تصویر زیر رو براش بچسبون با این پرامپت:
«این اتاق رو با هر چیزی که در مورد من میدونی پر کن، چهره م رو نگه دار. اغراق کن.»
اینشکلی متوجه میشی چه تصور و اطلاعاتی ازت داره!
برای دیدن اموزشهای بیشتر کانال و پیج ما را دنبال کنید.
#منابع_پارس_پژوهه
👁🗨 @tephd5
⭕️ دسترسی به اکانت گوگلتون در خطره اگر این کار رو نکنید...
با تغییر یواشکی گوگل که جدیدا اتفاق افتاده، سیستم تایید شماره روی اندروید به شکل پیشفرض شماره سیمکارت فعال دیوایس رو بدون تایید مستقیم به تمام اکانتهای فعال روی گوشی متصل میکنه.
اگه این ستینگ روی گوشی شما فعال باشه و به جز پسورد هیچ راه تایید هویت دیگهای واسه اکانت گوگلتون ثبت نکرده باشید، وابسته شدن همه اکانتهای گوگلتون به اساماس ریسک قفل شدن یه…
✅تبدیل پایاننامه به مقاله در چند ثانیه؟!
این فقط یک پرامپت معمولی نیست!
یک Master Prompt طراحی کردم که با استفاده از LOOP، فرآیند استخراج مقاله از پایاننامه را چندمرحلهای انجام میدهد
لینکش👇
https://docs.google.com/document/d/1rTowJiupT5R9dlmAty04RshKPUjaFLdg/export?format=docx&utm_source=chatgpt.com
💥کارگاه انلاین از ایده تا نگارش و ارسال مقاله علمی با هوش مصنوعی فردا 5شنبه ساعت8صبح برگزار خواهد شد جهت ثبت ن…
📄 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…
🚨 خبر مهم برای کاربران رایگان Gemini
📌از ۱۷ مهر ۱۴۰۵ (۹ اکتبر ۲۰۲۶) گوگل دسترسی کاربران رایگان به مدلهای Gemini را محدود میکند.
⭕️یعنی اگر اشتراک پولی نداشته باشید، بعد از ۱۷ مهر فقط به مدل Flash-Lite دسترسی خواهید داشت.
⚠️ پس اگر الان از Gemini رایگان برای کارهای پژوهشی و حرفهای استفاده میکنید، از ۱۷ مهر ممکنه تجربهتون خیلی محدودتر بشه.
👈این خبر رو برای کسی که از Gemini استفاده میکنه بفرستید.
برای دیدن …
💡 یک ابزار انقلابی
⭕️ عنوان تحقیق یا موضوع خود را وارد کنید.
⭕️ شما را به تمام تحقیقات مرتبط متصل میکند.
⭕️ منابع مشترک بین مقالات علمی را به شما نشان میدهد.
⭕️ شبکهای از ارتباطات بین مطالعات قبلی ایجاد میکند.
همین حالا آن را امتحان کنید:
https://inciteful.xyz
برای دیدن اموزشهای بیشتر کانال و پیج ما را دنبال کنید.
#منابع_پارس_پژوهه
👁🗨 @tephd5
❤7👍2
Showing the 12 most recent of 43 posts we hold for @tephd5. 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
@tephd5 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
Posts recorded as deleted after publishing
We recorded 4 posts on @tephd5 as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.
A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.
First seen missing
12 September 2026
Most recent seen missing
5 November 2026
Median time before seen missing
24 days
Seen missing in the last 30 days
1
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 10 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.
Handles this channel named that no longer answer
Dead references
7
handles named in this channel’s posts, vacant today
Evidenced gone
0
we ourselves saw one of these resolve, at some point
Never seen alive
7
vacant every time we have ever looked
@tephd5 named 7 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.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
@answerthisio named in 4 posts, 31 August 2026 – 4 September 2026
@citedash named in 4 posts, 31 August 2026 – 4 September 2026
@researchcollab_ named in 4 posts, 31 August 2026 – 4 September 2026
@scispace named in 4 posts, 31 August 2026 – 4 September 2026
@thesify_ai named in 4 posts, 31 August 2026 – 4 September 2026
@thetrinkaai named in 4 posts, 31 August 2026 – 4 September 2026
@updfeditor named in 4 posts, 31 August 2026 – 4 September 2026
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.
آموزش پایان نامه و مقاله نویسی پژوهه @pajoohehgroup · 59,230#1
بانک مقالات، پروپوزال و پایاننامه @tephd6 · 43,805#2
آموزش نوین مقاله نویسی با هوش مصنوعی @tephd · 75,773#3
هوش مصنوعی |یادگیری ماشین| علم داده @Ai_Tv · 26,540#4
آموزش مقاله و پایان نامه نویسی @dr_amaniiii · 61,959#5
Read from Telegram’s recommendation API, most recently 23 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.
بانک مقالات، پروپوزال و پایاننامه @tephd6 · 43,805 Telegram ranks this channel #1 of 88 here — alongside 87 others — read 27 August 2026
آموزش پایان نامه و مقاله نویسی پژوهه @pajoohehgroup · 59,230 Telegram ranks this channel #1 of 87 here — alongside 86 others — read 22 August 2026
اطلاع رسانی کارگاههای آموزشی معتبر @mppphd · 19,312 Telegram ranks this channel #2 of 91 here — alongside 90 others — read 1 October 2026
ژورنال آکادمیک @journalacademic · 26,504 Telegram ranks this channel #2 of 78 here — alongside 77 others — read 12 September 2026
آموزش مقاله و پایان نامه نویسی @dr_amaniiii · 61,959 Telegram ranks this channel #2 of 79 here — alongside 78 others — read 21 August 2026
پروپوزال _ پایان نامه _ مقاله @Proposal · 25,100 Telegram ranks this channel #3 of 84 here — alongside 83 others — read 15 September 2026
ترجمه ی متون عمومی و تخصصی @tarjjommee · 22,796 Telegram ranks this channel #4 of 89 here — alongside 88 others — read 20 September 2026
روش تحقیق و مقاله نویسی @Raveshtahghighh · 39,853 Telegram ranks this channel #5 of 84 here — alongside 83 others — read 31 August 2026
مقاله نویسی گروه آموزشی دکتر یزدان دوست @med_article · 20,634 Telegram ranks this channel #6 of 73 here — alongside 72 others — read 26 September 2026
صفر تا صد اپلای @everythingforapply · 18,798 Telegram ranks this channel #8 of 70 here — alongside 69 others — read 2 October 2026
منابع پروپوزال،مقاله،پایان نامه @PAPhd · 63,655 Telegram ranks this channel #9 of 76 here — alongside 75 others — read 21 August 2026
🎓 دستیارپژوهش 📚 مقاله| پایان نامه | پروپوزال @researchassist · 36,661 Telegram ranks this channel #10 of 74 here — alongside 73 others — read 1 September 2026
آموزش نوین مقاله نویسی با هوش مصنوعی @tephd · 75,773 Telegram ranks this channel #16 of 87 here — alongside 86 others — read 19 August 2026
Mechanical Engineering ( ut_redc) @Mech_Engineering · 24,711 Telegram ranks this channel #37 of 89 here — alongside 88 others — read 15 September 2026
موزیک ترند | آهنگ ترند | ریمیکس سیستم @TrendMusicBank · 29,496 Telegram ranks this channel #43 of 51 here — alongside 50 others — read 8 September 2026
📚کتاب دانشگاهی📚 @ketab_University · 31,939 Telegram ranks this channel #51 of 89 here — alongside 88 others — read 5 September 2026
englishcrv | انگلیسی برا همه @englishcrv · 62,980 Telegram ranks this channel #54 of 63 here — alongside 62 others — read 21 August 2026
This channel appears in 17 seed channels' Telegram-generated recommendation lists 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 10 November 2026 — this
entry's latest reading, not the date you are reading this.
“آموزش کامل مقاله نويسی با هوش مصنوعی” (@tephd5), 55,164 subscribers as measured 10 November 2026. Telegram Register, tgregister.com/channel/tephd5.
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.