Telegram RegisterThe public register of Telegram

Channel

آموزش اصول مقاله نویسی

@Phd_Kavosh

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

20,475subscribers

+19 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 March 2018 and 30 June 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live14 August 2026
Measurements held10
Confirmed unchanged1 time, most recently 14 August 2026
On Telegramt.me/Phd_Kavosh

Growth

20,42420,49120,457.56 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 subscribers20,4756 August 202614 August 2026
10 measurements spanning 8 days, net +19. 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 20,414–20,501 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
14 Aug 2026, 21:4220,475-16
13 Aug 2026, 14:3620,491+2
12 Aug 2026, 12:1520,489+18
11 Aug 2026, 11:0420,471+47
10 Aug 2026, 09:3820,424-33
9 Aug 2026, 07:5220,457+11
8 Aug 2026, 10:1320,446-11
7 Aug 2026, 11:3720,457+1
6 Aug 2026, 17:1520,456no change
6 Aug 2026, 17:0020,456first reading

Engagement

32 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 21 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
3.95%
avg views ÷ 20,475 subscribers
Avg views / post
808
23 posts measured
Reaction rate
0.166%
reactions ÷ views · ER floor
Posts in window
23
of 32 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 9 of 23 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 14 August 2026
Posts held32 (28 June 202614 August 2026)
Views total18,585
Reactions total14
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken14 Aug 2026, 19:50 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
24m 48s
Average length
4m 58s

Measured directly from 5 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

22 reactions across 13 posts, in 4 distinct kinds. The most used accounts for 68.2% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
1568.2%
👍418.2%
👏29.09%
🤯14.55%

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 16 of the 32 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 22reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 32 most recent posts we hold, published 28 June 2026 to 14 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

14 Aug 2026, 06:33 UTC163 viewsread 14 August 2026
Forwarded from @Mehrang_PublicationPhoto

درج اسم شما در کتاب ومقاله آماده چاپ #همه_رشته_ها #هزینه_کیفیت_و_سرعت_کار_را_مقایسه_کنید #تالیف کتاب #برای تمامی رشته ها علوم انسانی و علوم پایه و... #امتیاز در مصاحبه استخدامی # امتیاز برای معلمان در نقل و انتقالی و ارتقای پستی #رتبه_بندی_معلمان #اپلای_دانشجویان و کسانی که میخواهند رزومه داشته باشند با کم ترین قیمت #مصاحبه_دکترا 5 امتیاز #اکسپت مقاله همایشی و بین المللی #امتیاز در ارزشیابی و سازماندهی معلمان #طراح

Signed Heval

12 Aug 2026, 00:38 UTC365 viewsread 14 August 2026
Forwarded from @Mehrang_PublicationPoll

مهم‌ترین تغییر ساختاری که در تبدیل پایان‌نامه به کتاب برای کسب امتیاز در مصاحبه دکتری توصیه می‌شود کدام است؟

  1. کاهش تعداد منابع به زیر ده مورد10%
  2. تغییر عنوان و لحن گزارش گونه به آموزشی55%
  3. حذف کامل بخش مربوط به روش تحقیق29%
  4. افزودن تصاویر عمومی و غیر تخصصی7%

Shares as published, totalling 101%. No per-option vote count is published by Telegram, so none is shown.

Signed Heval

11 Aug 2026, 23:51 UTC336 views2 reactionsread 14 August 2026
Forwarded from @Mehrang_PublicationPoll

کدام نوع کتاب معمولاً بالاترین امتیاز را در جداول ارزیابی پژوهشی مصاحبه دکتری دارد؟

  1. کتابهای تالیفی تخصصی84%
  2. کتاب های کمک درسی تستی2%
  3. کتاب های ترجمه شده عمومی11%
  4. رمان و مجموعه های داستانی2%

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

2

Signed Heval

11 Aug 2026, 19:20 UTC341 viewsread 14 August 2026

🎙 تبدیل فایل صوتی به متن با دقت بالا! اگه از ابزارهای تبدیل صوت به متن استفاده کرده باشی، احتمالاً دیدی که گاهی خروجی پر از غلط املایی، نگارشی و علائم اشتباهه. 🔧 راه‌حل ساده: 1️⃣ فایل صوتی رو داخل TurboScribe آپلود کن و متن اولیه رو بگیر. 🔴 روزانه ۳ تبدیل رایگان در اختیارت می‌ذاره. 2️⃣ متن استخراج‌شده رو به Gemini بده و این دستور رو بنویس: 💬 «این متن را از نظر املایی، نگارشی و علائم نگارشی اصلاح کن، بدون اینکه م

Signed Heval

11 Aug 2026, 09:06 UTC423 viewsread 14 August 2026
Poll

متغیری که پژوهشگر برای بررسی اثر آن بر متغیر دیگر، آن را دستکاری یا انتخاب می‌کند چه نام دارد؟

  1. متغیر کنترل14%
  2. متغیر وابسته29%
  3. متغیر تعدیلگر7%
  4. متغیر مستقل50%

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

Signed Hamed

11 Aug 2026, 09:02 UTC407 viewsread 14 August 2026
Poll

اگر پژوهشگری بخواهد میزان همسانی درونی سوالات یک پرسشنامه را بسنجد، از کدام شاخص استفاده می‌کند؟

  1. ضریب بازآزمایی13%
  2. ضریب پیرسون28%
  3. روایی صوری13%
  4. آلفای کرونباخ46%

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

Signed Hamed

11 Aug 2026, 09:00 UTC384 viewsread 14 August 2026
Poll

در کدام روش نمونه‌گیری، پژوهشگر ابتدا جامعه را به گروه‌هایی تقسیم کرده و سپس کل اعضای چند گروه را به صورت تصادفی انتخاب می‌کند؟

  1. نمونه گیری خوشه ای49%
  2. نمونه گیری سهمیه ای12%
  3. نمونه گیری سیستماتیک10%
  4. نمونه گیری طبقه ای29%

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

Signed Hamed

10 Aug 2026, 23:58 UTC505 views2 reactionsread 14 August 2026
Photo

🗣 چت‌جی‌پی‌تی حالا مستقیماً داخل پاورپوینت اسلاید می‌سازد! افزونه رسمی ChatGPT برای PowerPoint اکنون به‌صورت عمومی در سراسر جهان و برای تمام پلن‌های ChatGPT منتشر شده و کاربران می‌توانند بدون خروج از پاورپوینت، ارائه‌های جدید بسازند یا اسلایدهای موجود را ویرایش کنند. این افزونه امکان تولید اسلاید از روی یک توضیح متنی، تبدیل فایل‌های PDF و Word به ارائه، بازنویسی متن اسلایدها، اضافه کردن اسلایدهای جدید و ویرایش ارائ

2

Signed Heval

8 Aug 2026, 01:52 UTC771 views1 reactionsread 14 August 2026
Video

💭 چطور سه سوته مجله مناسب مقاله‌ام رو پیدا کنم!؟😎 🎙تو این ویدئو با یه #هوش_مصنوعی به شدت جالب و کاربردی آشنا میشیم به نام trinka که در کسری از ثانیه ده‌ها مجله بهت معرفی می‌کنه.

👍1

Signed Heval

7 Aug 2026, 00:19 UTC812 views1 reactionsread 14 August 2026
Video

⭐️ ترکیب این 3 ابزار رایگان، حتی کلاود رو شکست میده! توی این ویدیو با یه تکنیک و ورک فلوی حرفه ای، از ترکیب چند هوش مصنوعی با هم، میتونیم با استفاده از ابزارهای تماما رایگان، مثل یک حرفه ای مقاله بنویسیم. لازم نیست اکانت های گرون قیمت تهیه کنید، همین 3 تا ابزار میتونن 90 درصد مسیر رو طی کنن. مجموعه ابزارهای استفاده شده: Scopus AI (https://www.scopus.com/) استخراج کلیدواژه‌های اصلی و کشف تم‌های نوظهور مرتبط با سوال

👏1

Signed Heval

7 Aug 2026, 00:13 UTC688 views1 reactionsread 14 August 2026

📍۱۵ پرامپت ChatGPT برای تحقیقات بهتر جریان کاری تحقیقات خود را با پرامپت‌های هوشمندتر، سریع‌تر و مبتنی بر هوش مصنوعی، فوق‌شارژ کنید. این خطوط به شما کمک می‌کنند تا از ایده → بینش‌ها → اجرا به راحتی پیش بروید. 🔷 ۱. طوفان فکری موضوع «۱۰ موضوع تحقیقاتی در [حوزه] بده، چرا در ۲۰۲۵ مهم هستند، یک چالش، یک سؤال کلیدی.» 🔷 ۲. بررسی ادبیات «۵ مطالعه برتر (۲۰۲۳–۲۰۲۵) در [موضوع] را خلاصه کن: روش‌ها، یافته‌ها، شکاف‌ها، لینک‌ها.

1

Signed Heval

6 Aug 2026, 23:29 UTC543 viewsread 14 August 2026

🎙 مترجم همزمان گوگل با هوش مصنوعی Gemini گوگل در Google AI Studio مدل جدید Gemini 3.5 Live Translate را معرفی کرده که می‌تواند مکالمه‌های صوتی را تقریباً هم‌زمان ترجمه کند؛ بدون اینکه منتظر تمام شدن جمله بماند. 🌍🗣 ✨ ویژگی‌ها: 🔹 ترجمه صوت به صوت با تأخیر بسیار کم 🔹 پشتیبانی از بیش از ۷۰ زبان 🔹 حفظ لحن، ریتم و حالت طبیعی صدای گوینده 🔹 مناسب برای تماس‌ها، جلسات، کلاس‌ها و سفر 🔗 امتحان کنید: https://aistudio.google.co

Signed Heval

Showing the 12 most recent of 32 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 5 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.

12 Aug 2026, 00:38 UTCAnonymous Quiz42 voters

مهم‌ترین تغییر ساختاری که در تبدیل پایان‌نامه به کتاب برای کسب امتیاز در مصاحبه دکتری توصیه می‌شود کدام است؟

  1. کاهش تعداد منابع به زیر ده مورد10%
  2. تغییر عنوان و لحن گزارش گونه به آموزشی55%
  3. حذف کامل بخش مربوط به روش تحقیق29%
  4. افزودن تصاویر عمومی و غیر تخصصی7%

Shares as published, totalling 101%. No per-option vote count is published by Telegram, so none is shown.

11 Aug 2026, 23:51 UTCAnonymous Quiz44 voters

کدام نوع کتاب معمولاً بالاترین امتیاز را در جداول ارزیابی پژوهشی مصاحبه دکتری دارد؟

  1. کتابهای تالیفی تخصصی84%
  2. کتاب های کمک درسی تستی2%
  3. کتاب های ترجمه شده عمومی11%
  4. رمان و مجموعه های داستانی2%

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

11 Aug 2026, 09:06 UTCAnonymous Quiz58 voters

متغیری که پژوهشگر برای بررسی اثر آن بر متغیر دیگر، آن را دستکاری یا انتخاب می‌کند چه نام دارد؟

  1. متغیر کنترل14%
  2. متغیر وابسته29%
  3. متغیر تعدیلگر7%
  4. متغیر مستقل50%

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

11 Aug 2026, 09:02 UTCAnonymous Quiz54 voters

اگر پژوهشگری بخواهد میزان همسانی درونی سوالات یک پرسشنامه را بسنجد، از کدام شاخص استفاده می‌کند؟

  1. ضریب بازآزمایی13%
  2. ضریب پیرسون28%
  3. روایی صوری13%
  4. آلفای کرونباخ46%

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

11 Aug 2026, 09:00 UTCAnonymous Quiz59 voters

در کدام روش نمونه‌گیری، پژوهشگر ابتدا جامعه را به گروه‌هایی تقسیم کرده و سپس کل اعضای چند گروه را به صورت تصادفی انتخاب می‌کند؟

  1. نمونه گیری خوشه ای49%
  2. نمونه گیری سهمیه ای12%
  3. نمونه گیری سیستماتیک10%
  4. نمونه گیری طبقه ای29%

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 32 most recent posts we hold, published 28 June 2026 to 14 August 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.

Citation-graph rank

Citation-graph rank — 1,132,098 of 1,345,403entries 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

Republishes

Channels on the register whose posts this channel has forwarded.

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 5 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.

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

“آموزش اصول مقاله نویسی” (@Phd_Kavosh), 20,475 subscribers as measured 14 August 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.