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Channel

آموزش اصول مقاله نویسی

@Phd_Kavosh

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Polls · Citations · Cite this entry

21,092subscribers

+636 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001375742216
TypeChannel
Username@Phd_Kavosh
CreatedBetween 1 April 2018 and 31 August 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live18 September 2026
Measurements held35
Confirmed unchanged1 time, most recently 18 September 2026
On Telegramt.me/Phd_Kavosh

Topic

Education — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 10 September 2026 and assigned it the closest of 31 fixed categories, at 99% 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.

Growth

20,42421,13820,7816 August 2026 — 20,456 subscribers6 August 2026 — 20,456 subscribers7 August 2026 — 20,457 subscribers8 August 2026 — 20,446 subscribers9 August 2026 — 20,457 subscribers10 August 2026 — 20,424 subscribers11 August 2026 — 20,471 subscribers12 August 2026 — 20,489 subscribers13 August 2026 — 20,491 subscribers14 August 2026 — 20,475 subscribers16 August 2026 — 20,458 subscribers17 August 2026 — 20,433 subscribers18 August 2026 — 20,443 subscribers19 August 2026 — 20,474 subscribers20 August 2026 — 20,454 subscribers21 August 2026 — 20,498 subscribers22 August 2026 — 20,456 subscribers24 August 2026 — 20,475 subscribers25 August 2026 — 20,460 subscribers26 August 2026 — 20,532 subscribers27 August 2026 — 20,504 subscribers28 August 2026 — 20,507 subscribers29 August 2026 — 20,539 subscribers30 August 2026 — 20,523 subscribers31 August 2026 — 20,541 subscribers1 September 2026 — 20,551 subscribers2 September 2026 — 20,578 subscribers3 September 2026 — 20,587 subscribers5 September 2026 — 20,672 subscribers8 September 2026 — 20,792 subscribers11 September 2026 — 20,961 subscribers13 September 2026 — 21,015 subscribers14 September 2026 — 21,043 subscribers16 September 2026 — 21,138 subscribers18 September 2026 — 21,092 subscribers21,0926 August 202618 September 2026
35 measurements spanning 43 days, net +636. 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 20,317–21,245 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 35
Measured (UTC)SubscribersChange
18 Sept 2026, 14:3821,092-46
16 Sept 2026, 09:3821,138+95
14 Sept 2026, 18:2021,043+28
13 Sept 2026, 06:2121,015+54
11 Sept 2026, 11:1920,961+169
8 Sept 2026, 19:2120,792+120
5 Sept 2026, 16:0120,672+85
3 Sept 2026, 18:5520,587+9
2 Sept 2026, 10:2420,578+27
1 Sept 2026, 12:2920,551+10
31 Aug 2026, 12:3320,541+18
30 Aug 2026, 13:2620,523-16
29 Aug 2026, 15:5320,539+32
28 Aug 2026, 14:1320,507+3
27 Aug 2026, 17:1120,504-28
26 Aug 2026, 14:4720,532+72
25 Aug 2026, 14:5320,460-15
24 Aug 2026, 15:0220,475+19
22 Aug 2026, 23:3520,456-42
21 Aug 2026, 12:5420,498first reading

Engagement

61 posts held, back to 28 June 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 61 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
2.21%
avg views ÷ 21,092 subscribers
Avg views / post
465
20 posts measured
Reaction rate
0.341%
reactions ÷ views · ER floor
Posts in window
20
of 61 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 10 of 20 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 2 September 2026
Posts held61 (28 June 20262 September 2026)
Views total9,302
Reactions total16
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken3 Sept 2026, 01:23 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

Video runtime
1h 00m
Average length
5m 00s

Measured directly from 12 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

49 reactions across 28 posts, in 6 distinct kinds. The most used accounts for 51.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
2551.0%
👍1428.6%
👏36.12%
🔥36.12%
🤔24.08%
🤯24.08%

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 31 of the 61 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 49 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 61 most recent posts we hold, published 28 June 2026 to 2 September 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

2 Sept 2026, 12:00 UTC41 viewsread 2 September 2026
Forwarded from @tablistchPhoto

🔹🔹🔹🔹🔹🔹🔹🔹🔹 🔔به مناسبت ۲ ساله شدن عمر چنلمون چنل های vip که قیمت یک میلیون هست به ۱۰ نفر اول رایگان میدیم و بعد از ۱۰ نفر به طور خودکار لینک باطل میشه جوین بدین✅ https://t.me/addlist/AVIiQ20VsJVhN2Y8 #تبلیغ_نیست 🔹🔹🔹🔹🔹🔹🔹🔹🔹

1 Sept 2026, 22:29 UTC237 views3 reactionsread 3 September 2026
Forwarded from @Mehrang_PublicationPhoto

در راستای تهیه رزومه ارزنده جهت رتبه بندی معلمان و مصاحبه دکتری؛ انتشارات مهرنگ در خدمت شما بزرگواران می باشد. ارتباط با ما ╭┈────────「🦋♥️🦋 @Mehrang_pub ╰──────➤ ⃟༺•❥࿐❥᭄‌ٖٜ ⍣╭────➺🦋 گروه پژوهشی کاوش خزر انتشارات مهرنگ پروپزال، پایان نامه، مقاله،کتاب ╰──────────────

3

Signed Heval

31 Aug 2026, 23:48 UTC340 views1 reactionsread 3 September 2026
Video

⭐️ چطور در مقاله نویسی اطلاعات رو مدیریت کنیم؟ در این ویدیو به معرفی ابزار اوبسیدین در مدیریت اطلاعات در مقاله نویسی و آموزش روش یادداشت برداری میپردازیم. 🔗 ابزار استفاده شده: obsidian.md (https://obsidian.md/)

👍1

Signed Heval

28 Aug 2026, 23:46 UTC580 views1 reactionsread 3 September 2026
Forwarded from @Mehrang_PublicationPoll

کدام گزینه نشان‌دهنده استفاده حرفه‌ای از جدول در یک کتاب دانشگاهی است؟

  1. الف) انتقال متن طولانی به جدول برای کاهش حجم صفحات14%
  2. ب) خلاصه‌سازی، طبقه‌بندی و آشکار کردن روابط میان مفاهیم80%
  3. ج) استفاده از جدول برای جایگزینی بخش نتیجه‌گیری6%
  4. د) قرار دادن جداول متعدد بدون اشاره در متن0%

Shares as published. No per-option vote count is published by Telegram, so none is shown.

1

Signed Heval

28 Aug 2026, 23:31 UTC507 viewsread 3 September 2026
Forwarded from @Mehrang_PublicationPoll

کدام وضعیت نشان‌دهنده آن است که یک فصل کتاب هنوز به بلوغ علمی نرسیده است؟

  1. الف) وجود چارچوب مفهومی مشخص9%
  2. ب) ارتباط مستقیم فصل با مسئله اصلی کتاب9%
  3. ج) غلبه نقل‌قول‌ها بر تحلیل نویسنده63%
  4. د) استفاده از دیدگاه‌های متنوع19%

Shares as published. No per-option vote count is published by Telegram, so none is shown.

Signed Heval

28 Aug 2026, 23:06 UTC470 views3 reactionsread 3 September 2026

🎯 ترفند کمترشناخته‌شده Word: چند متن را همزمان کپی کن! در Word قابلیتی به نام Spike وجود داره که اجازه میده چند قسمت مختلف متن رو جداگانه جمع کنی و در نهایت همه رو یکجا Paste کنی! 😎 🔹 متن اول رو انتخاب کن و بزن: Ctrl + F3 🔹 متن‌های بعدی رو هم انتخاب کن و دوباره: Ctrl + F3 🔹 حالا هرجا خواستی همه متن‌های جمع‌شده رو یکجا وارد کنی: Ctrl + Shift + F3 💡 کاربردش؟ وقتی می‌خوای بخش‌های مختلف یک سند رو از چند جای مختلف جم

👍21

Signed Heval

28 Aug 2026, 02:43 UTC501 viewsread 3 September 2026

1⃣ ڪانال آموزش مقاله نویسی: ‌‌╭──────┈ 𝑗𝑜𝑖𝑛 ╰┈➤ @Phd_Kavosh 2⃣ ڪانال انتشارات مهرنگ: ‌‌╭──────┈ 𝑗𝑜𝑖𝑛 ╰┈➤ @Mehrang_publication 3⃣ڪانال آزمون های زبان انگلیسی : ‌‌╭──────┈ 𝑗𝑜𝑖𝑛 ╰┈➤ @English_ltt ‌‌‌‌✤┅┄ ⃝༺༅═┅──‌‌‌‌✤┅┄ ⃝༺༅═┅── 📱 جهت #ارتباط با ما و #سفارش پروژه بہ #آیدی زیر پیام بدید. ✈️𝐀𝐃𝐌𝐈𝐍 : @Mehrang_pub

Signed Heval

27 Aug 2026, 23:28 UTC461 views1 reactionsread 3 September 2026
Video

📚 شفافیت زبانی در نگارش مقاله چیست؟ در بررسی بخش پیامدهای مقالات علمی، شفافیت زبانی و دوری از ابهام نه صرفاً یک اصل نگارشی، بلکه ضرورتی شناختی برای انتقال مؤثر دانش و احترام به «اقتصاد توجه» خواننده است. نویسندگان باید به جای پنهان شدن پشت واژگان پیچیده، ساختارهای مجهول و عبارات احتیاطی بیش از حد (Hedging)، یافته‌های خود را با تعاریف عملیاتی دقیق، جملات معلوم و لحنی قاطع اما بی‌طرف بیان کنند تا مخاطب بدون نیاز به رم

👍1

Signed Heval

27 Aug 2026, 23:19 UTC443 views1 reactionsread 3 September 2026
Video

⭐️چطور کلید واژه های مهم یک پژوهش را آنالیز کنیم؟ آنالیز کلیدواژه‌های مهم و مرتبط به یک سوال پژوهشی، یکی از گام‌های اولیه و بنیادین در فرآیند پژوهش است. برای این کار، ابتدا چندین سوال پژوهشی مرتبط تدوین کرده و مفاهیم کلیدی آن‌ها را استخراج کنید. سپس با استفاده از این کلیدواژه‌های اولیه در پایگاه داده اسکوپوس جستجو نمایید. در مرحله بعد، با بهره‌گیری از قابلیت‌های تحلیلی و هوش مصنوعی اسکوپوس (مانند آنالیز نتایج، شناسای

👍1

Signed Heval

27 Aug 2026, 01:36 UTC515 views1 reactionsread 3 September 2026
Video

⭐️ با این ابزار، مقاله نویسی رو چند برابر سریع تر کن ابزار مختلفی برای مدیریت منابع وجود دارد. یکی از معروف ترین این ابزارها که به شکل تعاملی با هوش مصنوعی نیز قابل استفاده است ابزار زوترو است. این ابزار به ما اجازه میدهد منابع را دانود کنیم، پی دی اف های آن را به شکل اتوماتیک استخراج کنیم و یا از پلاگین های تخصصی برای استخراج منابع و مطالعه مقالات استفاده کنیم. در این ویدیو، با کاربردهای ابزار زوترو آشنا می شویم.

👍1

Signed Heval

26 Aug 2026, 00:36 UTC537 views2 reactionsread 3 September 2026
Video

هنر اصلی یک پژوهشگر امروزی، استفاده هوشمندانه و شبکه‌ای ابزارهای هوش مصنوعی در پروژه‌هاست! 🔥 ۵ قابلیت کمترشناخته‌شده Gemini Notebook که پژوهشگران نباید از دست بدهند! فکر می‌کنید NotebookLM فقط برای خلاصه‌کردن PDFهاست؟ 🤔 قدرت واقعی‌اش خیلی فراتر از این‌هاست: 🔎 جستجوی وب ⬅️ پیدا کردن و افزودن منابع جدید 🧩 کشف ارتباط مقالات⬅️ شناسایی تناقض‌ها و Research Gapها 📊 ساخت جدول مقایسه‌ای⬅️ (نویسنده، روش، نمونه و یافته‌ها در

1👍1

Signed Heval

25 Aug 2026, 23:57 UTC464 viewsread 3 September 2026

⚡️ تبدیل سریع حروف انگلیسی به بزرگ و کوچک متن رو انتخاب کن و بزن: Shift + F3 هر بار بزنی بین این حالت‌ها جابه‌جا میشه: lowercase →نوشتن با حروف کوچک UPPERCASE → نوشتن با حروف بزرگ Capitalize Each Word→حرف اول کلمات بزرگ بدون اینکه متن رو دوباره تایپ کنی 😎 #ورد #افیس ⍣╭────➺🦋@Phd_kavosh ───گروه‌ انتشاراتی مهرنگ─────

Signed Heval

Showing the 12 most recent of 61 posts we hold for @Phd_Kavosh. 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.

Polls

The 6 most recent of 16 polls we hold for this entry, as Telegram rendered them when we read the post. A poll’s figures keep moving after that, so each one is dated.

28 Aug 2026, 23:46 UTCAnonymous Quiz49 voters

کدام گزینه نشان‌دهنده استفاده حرفه‌ای از جدول در یک کتاب دانشگاهی است؟

  1. الف) انتقال متن طولانی به جدول برای کاهش حجم صفحات14%
  2. ب) خلاصه‌سازی، طبقه‌بندی و آشکار کردن روابط میان مفاهیم80%
  3. ج) استفاده از جدول برای جایگزینی بخش نتیجه‌گیری6%
  4. د) قرار دادن جداول متعدد بدون اشاره در متن0%

Shares as published. No per-option vote count is published by Telegram, so none is shown.

28 Aug 2026, 23:31 UTCAnonymous Quiz32 voters

کدام وضعیت نشان‌دهنده آن است که یک فصل کتاب هنوز به بلوغ علمی نرسیده است؟

  1. الف) وجود چارچوب مفهومی مشخص9%
  2. ب) ارتباط مستقیم فصل با مسئله اصلی کتاب9%
  3. ج) غلبه نقل‌قول‌ها بر تحلیل نویسنده63%
  4. د) استفاده از دیدگاه‌های متنوع19%

Shares as published. No per-option vote count is published by Telegram, so none is shown.

23 Aug 2026, 23:13 UTCAnonymous Quiz30 voters

پژوهشی که هدف آن بررسی رابطه بین متغیرها بدون دستکاری آن‌هاست، در چه دسته‌ای قرار می‌گیرد؟

  1. الف) پژوهش آزمایشی23%
  2. ب) پژوهش علّی ـ مقایسه‌ای33%
  3. ج) پژوهش همبستگی37%
  4. د) پژوهش پدیدارشناسی7%

Shares as published. No per-option vote count is published by Telegram, so none is shown.

23 Aug 2026, 23:12 UTCAnonymous Quiz27 voters

در یک طرح پژوهش کمی، فرضیه پژوهش چه نقشی دارد؟

  1. الف) ارائه چارچوب نظری برای تفسیر نتایج30%
  2. ب) بیان رابطه قابل آزمون بین متغیرهای پژوهش44%
  3. ج) تعیین روش نمونه‌گیری پژوهش15%
  4. د) مشخص کردن ابزار گردآوری داده‌ها11%

Shares as published. No per-option vote count is published by Telegram, so none is shown.

23 Aug 2026, 23:07 UTCAnonymous Quiz31 voters

در طرح پژوهش، مهم‌ترین معیار برای انتخاب روش تحقیق چیست؟

  1. الف) حجم منابع استفاده‌شده در پیشینه پژوهش6%
  2. ب) هدف پژوهش و ماهیت سؤال تحقیق61%
  3. ج) تعداد متغیرهای موجود در مدل مفهومی29%
  4. د) تعداد افراد جامعه آماری3%

Shares as published, totalling 99%. No per-option vote count is published by Telegram, so none is shown.

23 Aug 2026, 23:06 UTCAnonymous Quiz34 voters

اگر هدف پژوهش بررسی همزمان روابط مستقیم، غیرمستقیم و اثر تعدیلی چند سازه پنهان باشد، کدام روش مناسب‌تر است؟

  1. الف) ضریب همبستگی پیرسون26%
  2. ب) آزمون تی مستقل9%
  3. ج) مدل‌سازی معادلات ساختاری50%
  4. د) آزمون کای‌دو15%

Shares as published. No per-option vote count is published by Telegram, so none is shown.

Percentages only — there are no per-option vote counts here, because Telegram publishes none. The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.

The shares need not add up to 100. Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.

Read from the 61 most recent posts we hold, published 28 June 2026 to 2 September 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.

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 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.

English Tests
@English_ltt · 18,126
4 posts
انتشارات مهرنگ
@Mehrang_Publication · 117
4 posts
پروژه ادمینی | دورکاری | VIP
@admiinprojeh · 14,763
1 post
Ai Pack | هوش مصنوعی
@ai_pack · 14,211
1 post
امیری هک|| AMIRI_HACK
@AMIRIHACK · 17,505
1 post
Offensive LSO
@BackupLSO · 3,283
1 post
Free Beat | Instrumental
@Beatt98 · 7,920
1 post
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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.

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 18 September 2026 — this entry's latest reading, not the date you are reading this.

“آموزش اصول مقاله نویسی” (@Phd_Kavosh), 21,092 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/Phd_Kavosh.

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.