🧠 مترجم اختصاصی ChatGPT بالاخره راه اندازی شد | همین حالا گوگل ترنسلیت رو بریز دور 📰 تا قبل از این، برای ترجمه متن باید داخل خود ChatGPT پرامپت مینوشتی؛ اما حالا OpenAI یک صفحه اختصاصی برای ترجمه راه انداخته که از بیش از ۴۰ زبان، از جمله فارسی پشتیبانی میکنه ؛ چیزی که این مترجم رو جذاب میکنه فقط ترجمه نیست؛ بعد از ترجمه هم میتونی با یک کلیک متن رو: • روان تر کنی. • لحنش رو رسمی تر کنی. • یا حتی طوری بازنویسیش کنی …

Channel
پژوهشگر
@mythesispaper
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
626subscribers
+3 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
Register entry
| Telegram ID | -1001965047369 |
|---|---|
| Type | Channel |
| Username | @mythesispaper |
| Created | Between 1 April 2023 and 31 October 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 8 August 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 1 time, most recently 8 August 2026 |
| On Telegram | t.me/mythesispaper |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 8 Aug 2026, 09:01 | 626 | +3 |
| 8 Aug 2026, 03:01 | 623 | no change |
| 7 Aug 2026, 16:06 | 623 | first reading |
Engagement
20 posts held, back to 22 July 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 1 pageof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 20.6%
- avg views ÷ 626 subscribers
- Avg views / post
- 129
- 19 posts measured
- Reaction rate
- 1.09%
- reactions ÷ views · ER floor
- Posts in window
- 20
- of 20 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 5 of 19 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 6 August 2026 |
|---|---|
| Posts held | 20 (22 July 2026 – 6 August 2026) |
| Views total | 2,446 |
| Reactions total | 7 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 8 Aug 2026, 03:01 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
- 1m 07s
- Average length
- 1m 07s
Measured directly from 1 video 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
7 reactions across 5 posts, in 3 distinct kinds. The most used accounts for 42.9% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 3 | 42.9% | |
| 👍 | 2 | 28.6% | |
| 🙏 | 2 | 28.6% |
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 5 of the 20 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 7reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 20 most recent posts we hold, published 22 July 2026 to 6 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
۱۷ تا از کاربردیترین و بهترین ابزارهای رایگان (Open Source و Free) که هر کاربری روی سیستمش بهشون نیاز داره رو براتون جمعآوری کردیم: VLC: اجرای بدون دردسر هر فایل صوتی و ویدیویی MPV: پلیر فوقالعاده سبک، سریع و بدون تبلیغ 7-Zip: فشردهسازی آسان و باز کردن تقریباً هر فرمتی KeePassXC: گاوصندوق امن برای نگهداری تمام رمزهای عبور Thunderbird: مدیریت یکجای تمام ایمیلها از سرویسهای مختلف Joplin: یادداشتهای امن، مرتب و ه…
شرکت کننده گرامی از اینکه ما را در این پژوهش یاری می نمایید سپاسگزاریم این پژوهش توسط دانشآموختگان دانشگاه شهید بهشتی طراحی شده است. پژوهش حدوداً ۱۰ دقیقه به طول خواهد انجامید. شرکت در این پژوهش کاملاً داوطلبانه است و اطلاعات و هویت شرکتکنندگان محرمانه خواهد ماند. در صورتی که مادر فرزندی زیر سه سال هستید و تمایل به شرکت در این پژوهش را دارید روی لینک زیر کلیک نمایید: https://survey.porsline.ir/s/wd8OUuy
🙏1
کارگاه آموزشی مجازی " استخراج و تدوین مقاله از پژوهش و پایان نامه با هوش مصنوعی" امروز دوشنبه ساعت ۱۴ تا ۱۷. در بستر ادوب کانکت لینک ثبت نام دوره: https://evnd.co/qtH2Y تلفن پاسخگویی: 09386406638
Photo, posted without a caption
چطور در چند ثانیه شکافهای پژوهشی (Research Gaps) یک موضوع را پیدا کنیم؟ 💬اگر مشغول تدوین مقاله، طرح پژوهشی یا حتی بررسی بازار برای یک محصول جدید هستید، پیدا کردن «نوااطلاعاتی یا شکافهای بررسینشده» سختترین بخش کار است. با استفاده از این پرامپت آماده، هوش مصنوعی مثل یک داور سختگیر ISI تمام زاویههای پنهان موضوع شما را تحلیل میکند: 📋 متن پرامپت آماده (جهت کپی در ChatGPT یا Gemini): As an expert peer-reviewer, …
📌گوگل NotebookLM را به Gemini Notebook تغییر داد؛ شروع نسل جدید ابزارهای پژوهش هوش مصنوعی🚀 ✨ گوگل در یک اقدام غافلگیرکننده، نام ابزار محبوب پژوهشی خود یعنی #NotebookLM را به #Gemini_Notebook تغییر داد! اما این فقط یک ریبرندینگ ساده نیست؛ گوگل با این تغییر، پای قابلیتهای فوقالعاده جدیدی را به این پلتفرم باز کرده است که روند تحقیق، یادگیری و تحلیل دادهها را به کل دگرگون میکند.
@AI_in_Practice 🎯 تکنیک #پرامپت_نویسی پیشرفته راستیآزمایی زنجیرهای (Chain-of-Verification - CoVe) وقتی در حال نگارش یک #پروپوزال علمی، تحلیل آمار صنعتی یا تدوین استراتژی تجاری هستید، حتی یک خطای کوچک منطقی یا فکتی میتواند اعتبار کار را زیر سوال ببرد. تکنیک CoVe #هوش_مصنوعی را مجبور میکند که قبل از نمایش خروجی نهایی، یک مرحله «بازبینی و نقد داخلی» روی پاسخ خود انجام دهد. این کار دقت متون پیچیده را تا ۴۰٪ افزا…
@AI_in_Practice 🚀 آغاز عصر «همکار هوشمند» با تحولی بزرگ در تحقیق و مدیریت کارها: چگونه با ChatGPTWork، سرعت پژوهش و مدیریت کسبوکار خود را ۱۰ برابر کنیم؟⚡ اگر هنوز تصور میکنید #ChatGPT فقط یک چتبات است، وقت آن رسیده که این ذهنیت را تغییر دهید.#OpenAI بهتازگی #ChatGPT_Work را معرفی کرده است؛ قابلیتی که میتواند بهجای پاسخ دادن به یک سؤال، روی یک پروژه برای ساعتها کار کند و خروجی نهایی تحویل دهد. این سرویس با تر…
Photo, posted without a caption
❤1
دوستان اگر به سلامت و بدنتون اهمیت میدید ، من یه اپ درست کردم به نام maxbody مخصوص ورزش و تغذیست و برای ایرانی ها رایگانه . قابلیت ها: ✔️از غذا عکس بگیرید و کالری و ارزش غذایی مثل پروتیین و … را ببینید ✔️مربی تغذیه انلاین که باهاش چت میکنید و بر اساس اطلاعات شما و تغذیه و فعالیتتون ، جواب های تخصصی برای شما میده ، نه صرفا عمومی مثل چت جی پی تی ✔️ برنامه تمرینی شخصی: انالیز بدن انجام میده و با توجه به اطلاعات شما م…
❤2👍1
Video, posted without a caption
Showing the 12 most recent of 20 posts we hold for @mythesispaper. 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 — 497,213 of 1,340,412entries 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.
Mentions
Named by 1 registered channel — 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.
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 8 August 2026 — this entry's latest reading, not the date you are reading this.
“پژوهشگر” (@mythesispaper), 626 subscribers as measured 8 August 2026. Telegram Register, tgregister.com/channel/mythesispaper.
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.