همیشه اعتماد کنید هیچوقت کاری انجام نمیدیم که کیفیت از گذشته پایینتر بیاد اعتبار ما همه چیز ماست ✌️
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Channel
@drseyedjafari
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Posts edited after publishing · Posts recorded as deleted · Polls · Citations · Telegram's recommendations · Cite this entry
58,407subscribers
+3,625 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
| Telegram ID | -1001118538814 |
|---|---|
| Type | Channel |
| Username | @drseyedjafari |
| Created | Between 1 February 2017 and 31 December 2019 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 8 November 2026 |
| Measurements held | 61 |
| Confirmed unchanged | 1 time, most recently 8 November 2026 |
| On Telegram | t.me/drseyedjafari |
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 9 September 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 8 Nov 2026, 05:20 | 58,407 | +22 |
| 7 Nov 2026, 04:09 | 58,385 | +37 |
| 6 Nov 2026, 05:26 | 58,348 | -141 |
| 5 Nov 2026, 06:10 | 58,489 | +8 |
| 4 Nov 2026, 07:49 | 58,481 | +44 |
| 3 Nov 2026, 09:49 | 58,437 | +20 |
| 2 Nov 2026, 10:19 | 58,417 | +21 |
| 1 Nov 2026, 07:05 | 58,396 | +32 |
| 31 Oct 2026, 08:35 | 58,364 | -18 |
| 30 Oct 2026, 07:41 | 58,382 | +25 |
| 29 Oct 2026, 07:17 | 58,357 | +38 |
| 28 Oct 2026, 03:39 | 58,319 | +34 |
| 27 Oct 2026, 04:50 | 58,285 | +38 |
| 26 Oct 2026, 02:38 | 58,247 | +12 |
| 25 Oct 2026, 03:30 | 58,235 | +14 |
| 24 Oct 2026, 03:45 | 58,221 | -9 |
| 23 Oct 2026, 00:57 | 58,230 | +12 |
| 21 Oct 2026, 23:46 | 58,218 | +73 |
| 20 Oct 2026, 15:38 | 58,145 | +22 |
| 19 Oct 2026, 15:57 | 58,123 | first reading |
324 posts held, back to 27 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 189 pages of Telegram’s post history, 20 posts per page.
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.
| Window | Rolling 30 days · latest post in window 7 November 2026 |
|---|---|
| Posts held | 324 (27 July 2026 – 7 November 2026) |
| Views total | 978,110 |
| Reactions total | 10,206 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 7 Nov 2026, 22:54 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.
Measured directly from 33 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.
24,129 reactions across 323 posts, in 59 distinct kinds. The most used accounts for 64.2% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 15,496 | 64.2% | |
| 😐 | 1,610 | 6.67% | |
| 🤡 | 1,120 | 4.64% | |
| 😁 | 1,019 | 4.22% | |
| 👍 | 893 | 3.70% | |
| 😍 | 596 | 2.47% | |
| 👏 | 444 | 1.84% | |
| 🥰 | 428 | 1.77% | |
| 🥴 | 375 | 1.55% | |
| 🌭 | 249 | 1.03% | |
| 🙏 | 213 | 0.883% | |
| 😭 | 200 | 0.829% | |
| 🔥 | 170 | 0.705% | |
| 🗿 | 167 | 0.692% | |
| 👌 | 104 | 0.431% | |
| ❤🔥 | 103 | 0.427% | |
| 🤪 | 87 | 0.361% | |
| 🤩 | 80 | 0.332% | |
| 🤔 | 74 | 0.307% | |
| 🥱 | 74 | 0.307% | |
| 39 further kinds | 627 | 2.60% |
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 323 of the 324 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 24,129 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 324 most recent posts we hold, published 27 July 2026 to 7 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.
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @drseyedjafari. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 324 most recent posts we hold for this entry, published 27 July 2026 to 7 November 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
Telegram’s own ‘edited’ marker: 6 of 147 posts held from the last 30 days (4.08%) 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).
همیشه اعتماد کنید هیچوقت کاری انجام نمیدیم که کیفیت از گذشته پایینتر بیاد اعتبار ما همه چیز ماست ✌️
❤74🥴31🙏7😡4💘2🥰2🤔1🤡1
🟢کوچینگ ویژه پذیرفته نشدگان آزمون کانون وکلا 🌱 کوچینگ انگیزشی 🌿وایب مثبت۲ 👨🏻🏫با مربیگری دکتر سیدجعفری @mashahiredanesh 🏛موسسه مشاهیردانش 🎖تراز بالای آزمون وکالت ۱۴۰۲ ▪️(تراز ۱۱۸۴۴) رتبه دو کشور ▪️(تراز ۱۱۶۸۷) رتبه شش کشور 🎖تراز بالای آزمون قضاوت ۱۴۰۲ ▪️(تراز ۱۰۴۵۲) رتبه دو کشور 🎖تراز بالای آزمون سردفتری ۱۴۰۱ ▪️(تراز ۹۳۷۳) 🎖تراز بالای آزمون وکالت ۱۴۰۰ ▪️(تراز ۱۲۲۵۵) رتبه دو کشور 🎖بالاترین تراز آزمون وکالت ۹۹ ▪️(…
❤51😭4🤔2
⚖️مشاهیردانش؛ پیشرو در تحلیل آزمون وکالت 📌موسسه مشاهیر بهعنوان اولین مؤسسه برگزارکننده تحلیل آزمون وکالت ۱۴ آبان ۱۴۰۵، تنها در یک روز سؤالات تمام دروس آزمون را بررسی و تحلیل کرد. ✅برای مشاهده آفلاین این تحلیل جامع و بهرهمندی از بررسی تخصصی سؤالات، از طریق لینک زیر اقدام کنید👇 https://mashahiredanesh.com/Product/744/تحلیل-آزمون-اسکودا405 @mashahiredanesh
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🎯 پایان کانون؛ آغاز مرکز! (ارائه برنامه ریزی ۳۰ روزه مرکز وکلا) 🎙 با حضور دکتر سیدجعفری و با مربیگری خانم دکتر خواست خدایی 🗓 جمعه ۱۵ آبانماه ⏰ساعت ۱۲ ظهر 🎁هدیه ویژه مؤسسه مشاهیر دانش به داوطلبان سراسر کشور 🔗لینک ورود به کارگاه👇 https://mashahirdanesh.tehranserver.net/markazvokala/ ❤️ مشاهیر دانش؛ همراه شما تا آخرین قدم قبولی! @mashahiredanesh
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🎯 پایان کانون؛ آغاز مرکز! برنامه ریزی ۳۰ روزه مرکز وکلا❤️ 🎙 با حضور دکتر سیدجعفری ▪️ مدرس تخصصی آیین دادرسی مدنی ▪️ وکیل پایه یک دادگستری ▪️ رتبه ۴ اختبار کانون مرکز ▪️ فارغالتحصیل دانشگاه شهید بهشتی و دانشگاه تهران 👩🏫 با مربیگری خانم دکتر خواست خدایی ▪️ دانشپژوه دکتری حقوق در آلمان ▪️ کوچ بینالمللی موفقیتهای فردی و سازمانی ▪️ ترینر بینالمللی NLP 🗓 جمعه ۱۵ آبانماه ⏰ ساعت ۱۲ ظهر 🎁 هدیه ویژه مؤسسه مشاهیر …
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سلام استاد شب بخیر رفیق من گول کلاس های حضوری رو خورد با ده برابر هزینه ای که من برای ضربتی کردم رفت داخل کرج کلاس حضوری اونم مثل من سرباز بود و حتی اونمرخصی میگرفت کلاس هاشو میرفت ولی من همین با ضربتی پیش رفتم ، از برج ۶ هم که تموم شدش نشستمخوندن، امروز زنگ زدم ببینم چکار کرده اصلا اوضاعش خراب بود چیزایی میگفت سخته که برای کسی که توی مشاهیر درس خونده یه چیز ابتدایی بود واقعا من دوستای دیگ ام نتیجه گرفتن از ش…
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دقیقا انگار به ترتیب تمام جلسات آئین دادرسی مدنی امروز سوال اومده بود ازش
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استاد سید جعفری یه اعتراف کنم. من اول پی دی اف کتابتو یه کانالی گذاشته بود برداشتم خوندم وقتی دیدم خیلی خوبه رفتم خریدمش که مدیونتون نشم. ولی الان مدیون زحماتی شدم که واسه این کتاب کشیدین. عالی هستش. دمتون گرم. زنده باد شاهرود
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نه تنها هواتون رو داریم، بلکه صادقانه قیمتگذاری کردیم! 🏷️نیومدیم بگیم مستر ۲۰۰ میلیون تومنه ولی به شما میگیم چهل میلیون امسال تصمیم گرفتیم تو قیمتگذاری هم صادقانه عمل کنیم 🤝 و روی بچههامون تکنیکهای بازاریابی پیاده نکنیم 🚫 چون باید با خانوادهات صادق باشی ❤️
❤81🤡15🌭7👏5🌚3🙏1
استاد من اصلا فکرشو نمیکردم امسال مستر۴۰۶ این مبلغ باشه گفتم حتما تا ۶۰ تومن زیاد میشه
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عزیزم من واقعیت رو میگم خودم قبلا نمیدونستم ایشون اینجورین هی میگفتم وای آدم غوله فلانه داداشم گفت یه استادی هست سیدجعفری تدریسشو ببین آدم رو رنده میکنه فک کنم تدریس 401بود اگر اشتباه نکنم یا خدا گفتم این کیهههههه خدا شاهده بخاطر سیدجعفری اومدم اینجا گفتم من موسسه نمیشناسم فقط هرجا سیدجعفری باشه میرم همین واقعیت آشنایی من با سیدجعفری بود
❤24😡3🥴2🌭1🔥1🤡1🤷♂1
درست میگه یکی از اساتید بنده قاضی بودن و همیشه کتاب استاد سید جعفری دستشون بود و به ما هم سفارش میکردن تهیه کنیم
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Showing the 12 most recent of 324 posts we hold for @drseyedjafari. 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.
@drseyedjafari edited 3 posts 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.
We recorded 2 posts on @drseyedjafari 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.
The 6 most recent of 13 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.
کدامگزینه صحیح است؟
The shares total 102%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.
کدام گزینه صحیح است؟
The shares total 102%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.
کدام گزینه صحیح است؟
The shares total 102%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.
کدام گزینه صحیح است؟
The shares total 102%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.
کدام گزینه صحیح است؟
The shares total 102%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.
کدام گزینه صحیح است؟
Shares as published, totalling 101%. 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 324 most recent posts we hold, published 27 July 2026 to 7 November 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.
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.
Named by 3 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.
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.
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.
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.
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.
This channel appears in 26 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.
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 November 2026 — this entry's latest reading, not the date you are reading this.
“آیین دادرسی مدنی دکتر سیدجعفری” (@drseyedjafari), 58,407 subscribers as measured 8 November 2026. Telegram Register, tgregister.com/channel/drseyedjafari.
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.