Education — 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 10 August 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 the other topics.
Observations
These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.
Content that also appears on other registered channels
Posts published here appear in near-verbatim form on 3 other registered channels. This entry also sits inside a group of 4 channels linked by matching posts, directly or through other channels in the group; two members of the group may share no posts with each other. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.
Matching posts — open both and compare (6 of the pairs behind the counts below)
Channels this entry shares post bodies with, where at least one matching post pair has no forward credit between the two channels, or to a common source, recorded in our data
Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.
What this cannot establish
MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.
Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. None of the 0 matches recorded here fall after that date, so for this entry we cannot say whether any of them carried a credit. The duplication is measured; the absence of attribution is not.
“Published first” means first in this corpus. We hold 28 comparable posts for this entry, running 2 August 2026 to 7 August 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.
The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.
Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).
Of the group of 4 channels, the one whose matching posts we hold earliest is @PhdHi — which is this entry. That is a statement about our reading window, not a claim of authorship.
Recorded under the key clone_source, last confirmed 7 August 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.
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.
61 measurements spanning 96 days, net +241. 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 39,913–40,284 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 61
Measured (UTC)
Subscribers
Change
9 Nov 2026, 17:40
40,200
-10
8 Nov 2026, 12:59
40,210
-2
7 Nov 2026, 07:36
40,212
+4
6 Nov 2026, 06:39
40,208
-1
5 Nov 2026, 08:14
40,209
-3
4 Nov 2026, 06:39
40,212
-14
3 Nov 2026, 04:30
40,226
-2
2 Nov 2026, 01:37
40,228
-2
1 Nov 2026, 02:18
40,230
+3
31 Oct 2026, 00:29
40,227
+7
29 Oct 2026, 22:12
40,220
+4
29 Oct 2026, 01:40
40,216
-3
28 Oct 2026, 01:17
40,219
-12
26 Oct 2026, 21:46
40,231
+2
25 Oct 2026, 18:27
40,229
+10
24 Oct 2026, 21:35
40,219
+16
22 Oct 2026, 19:58
40,203
-1
21 Oct 2026, 18:21
40,204
+3
20 Oct 2026, 13:48
40,201
+24
19 Oct 2026, 14:18
40,177
first reading
Engagement
763 posts held, back to 2 August 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 229 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
8.66%
avg views ÷ 40,200 subscribers
Avg views / post
3,480
274 posts measured
Reaction rate
—
this channel exposes no reaction counts
Posts in window
274
of 763 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
763 (2 August 2026 – 10 November 2026)
Views total
954,102
Reactions total
—
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
10 Nov 2026, 17:45 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
≈14,800
Videos
≈1,890
Links
≈2,030
Lifetime counters from Telegram’s own channel header, read 10 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
Video runtime
1h 08m
Average length
1m 10s
Measured directly from 59 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.
Telegram Stars
Stars received
1
across the posts below
Posts paid on
1
of 763 we hold a reading for · 0.1%
Most on one post
1
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @PhdHi. 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 763 most recent posts we hold for this entry, published 2 August 2026 to 10 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.
Recent posts
Telegram’s own ‘edited’ marker: 13 of 274 posts held from the last 30 days (4.74%) 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).
‼️ناترازی 430 میلیون متر مکعبی گاز در کشور
🔹احتمال محدودیت و قطع گاز تهران در زمستان امسال میباشد
پ.ن: امکان تعطیلی مراکز تحصیلی در زمستان بالا هست.
🎓 @PhdHi
🔍 به کمک ارزشمند شما نیاز داریم 🤍
ما در قالب یک پروژه دانشجویی روی یک پژوهش کوچک کار میکنیم و برای این کار به دیدگاه شما نیاز داریم.
این نظرسنجی کاملاً ناشناس است، هیچ اطلاعات شخصی (نام، شماره تماس، ایمیل و غیره) دریافت نمیکند و کمتر از ۴ دقیقه زمان میبرد.
شرکت در نظرسنجی 👇🏻
https://survey.porsline.ir/s/MMUxxM9a
پیشاپیش ممنون از وقتی که میذارید 🙏
🔴راهاندازی سامانه نوبتدهی اینترنتی سربازی از نیمه آبان
فراجا:
🔹در راستای تسهیل و تسریع در رسیدگی به درخواستهای مشمولان، از نیمه آبان ماه سال جاری سامانه نوبتدهی اینترنتی خدمات سازمان وظیفه عمومی راهاندازی و متقاضیان میتوانند از طریق سامانه مذکور زمان و ساعت حضور خود در سازمان را برای بهرهمندی از خدمات تعیین کنند.
🎓 @PhdHi
✅ثبتنام وامهای دانشجویی ادامه دارد
▫️ثبتنام وام تحصیلی و ودیعه مسکن متأهلی دانشجویان برای نیمسال اول سال تحصیلی ۱۴۰۵–۱۴۰۶ از ۱۳ آبان آغاز شده و تا ۱۶ آذر ادامه دارد.
مراحل ثبتنام و دریافت وام دانشجویی دانشجویان ورودی جدید
1️⃣ ورود به سامانه انتخاب گزینه ثبتنام کاربر جدید
2️⃣ انجام احراز هویت پیامکی.
3️⃣ تعیین رمز عبور، تکمیل اطلاعات ثبتنام و تأیید مشخصات هویتی.
4️⃣ انتخاب دانشگاه و ثبت اطلاعات مقطع تحصیلی
5️⃣…
دوره جامع پایتون: مقدماتی تا پیشرفته
🗓شروع دوره:30 آبان
🎁 تخفیف ویژه برای دانشجویان، فرصتی بینظیر برای شما!
🔥 آموزشی که شما را به برنامهنویس حرفهای تبدیل میکند و در بازار کار به شما رقابتپذیری بیشتری میدهد. همچنین برای اپلایهای شغلی و تحصیلی شما را برتر میکند و به راهاندازی استارتآپهای شگفتانگیز کمک میکند.
⏰ 140 ساعت آموزش مجازی، با بیش از 25 پروژه و مینیپروژه برای تسلط کامل!
🌟 سرفصلهای دوره شامل:…
✅قابلیت رویاپردازی برای حافظه هوش مصنوعی
🔹شرکت آنتروپیک در پژوهشی تازه توضیح داده که ایجنتهای هوش مصنوعی میتوانند در فاصله میان فعالیتها، اطلاعات و تجربههای قبلی خود را مرور و سازماندهی کنند.
🔹این فرایند که Dreaming نامیده میشود، به اصلاح خاطرات نادرست و بازیابی بهتر اطلاعات کمک میکند.
🔹در یکی از آزمایشها، عملکرد سیستم در پاسخگویی به پرسشهای یک مجموعه اسناد بزرگ با استفاده همزمان از جستوجو و حافظه سازم…
📊 دوره آنلاین و جامع #علم_داده (Data Science)
👈 ورود به دنیای Data Science و هوش مصنوعی
🔰 بدون نیاز به سابقه برنامهنویسی
از مفاهیم پایه تا تحلیل داده و پیادهسازی مدلهای واقعی
🐍 آموزش پایتون (Python) و SQL Server
📊 تحلیل و مصورسازی داده
🤖 یادگیری ماشین (ML) و Deep Learning
📈 پیشبینی و تحلیل سریهای زمانی
🧩 پروژهها و Case Studyهای واقعی
👥 مناسب دانشجویان، تحلیلگران و علاقهمندان به ورود یا تغییر مسیر شغلی به …
✅معاون آموزش دانشگاه خواجه نصیر: بخشی از کلاسهای نودانشجویان خواجه نصیر «مجازی» برگزار میشود
▫️محمود هادیزاده با اشاره به فرصت محدود تا پایان نیمسال تحصیلی اعلام کرد بخشی از کلاسهای فوقالعاده دانشجویان جدیدالورود بهصورت مجازی برگزار خواهد شد.
🎓 @PhdHi
✅بیشتر متقاضیان معلمی در کشور خانمها هستند.
فرهادی سخنگوی آموزش و پرورش:
▫️معمولا هر دوره آزمون استخدامی آموزش و پرورش حدود ۶۰۰ تا ۷۰۰ هزار نفر متقاضی شرکت میکنند که از این بین ۲۰ تا ۲۵ هزار نفر انتخاب میشوند.
▫️اقبال به معلمی در کشور ما بسیار بالا است و این اقبال در خانم ها نیز بیشتر از آقایان است.
🎓 @PhdHi
✅تاریخ آغاز کلاسها و امتحانات نودانشجویان مقطع کارشناسی دانشگاه آزاد
بخشنامه تشکیل کلاسهای درسی نودانشجویان در نیمسال اول ۱۴۰۶-۱۴۰۵ دوره کارشناسی دانشگاه آزاد اسلامی
⏺پیرو تقویم آموزشی سال تحصیلی ۱۴۰۶-۱۴۰۵ و با توجه به تأخیر در معرفی نودانشجویان دوره کارشناسی، مقرر شد برنامهریزی برگزاری کلاسها و امتحانات این گروه از دانشجویان به شرح زیر باشد.
🧑🏫 آغاز کلاسها (به صورت تقریبی)
┘ ۷ آذر ماه ۱۴۰۵
🗓 پایا…
Showing the 12 most recent of 763 posts we hold for @PhdHi. 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
@PhdHi 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.
First edit seen
27 August 2026
Most recent edit
22 October 2026
Posts recorded as deleted after publishing
We recorded 74 posts on @PhdHi 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
7 August 2026
Most recent seen missing
9 November 2026
Median time before seen missing
34 hours
Seen missing in the last 30 days
23
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 27 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. The 23 listed below are the most frequent namers; the rest are counted above but not each listed.
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.
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.
Read from Telegram’s recommendation API, most recently 30 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.
روش تحقیق و مقاله نویسی @Raveshtahghighh · 39,853 Telegram ranks this channel #1 of 84 here — alongside 83 others — read 31 August 2026
نخبگان ایران @bmniran · 22,153 Telegram ranks this channel #4 of 94 here — alongside 93 others — read 23 September 2026
مجله علمی آموزش @Learn_Mag · 25,604 Telegram ranks this channel #5 of 70 here — alongside 69 others — read 13 September 2026
کانال تخصصی دکتری @phdtest · 71,861 Telegram ranks this channel #6 of 94 here — alongside 93 others — read 20 August 2026
شبکه کارشناسی ارشد @mastertest · 49,524 Telegram ranks this channel #7 of 93 here — alongside 92 others — read 27 August 2026
آکادمی پژوهش دکتر خاوریان @phdiran · 23,971 Telegram ranks this channel #16 of 87 here — alongside 86 others — read 17 September 2026
کانال کارشناسی ارشد هیوا @masterexam · 58,166 Telegram ranks this channel #18 of 93 here — alongside 92 others — read 23 August 2026
BOOK | کتاب @BooksCom · 60,579 Telegram ranks this channel #18 of 80 here — alongside 79 others — read 21 August 2026
اخبار کوتاه دانشجویی @amozesh_daneshjo · 119,064 Telegram ranks this channel #20 of 94 here — alongside 93 others — read 15 August 2026
🎓آموزش تحقیق دانشگاهی🎓 @Research_Q1 · 34,378 Telegram ranks this channel #28 of 89 here — alongside 88 others — read 4 September 2026
آزاد دانشجو @azad_daneshjoo · 21,088 Telegram ranks this channel #32 of 96 here — alongside 95 others — read 26 September 2026
استخدام دولتی و مهم | ایران استخدام @Iranestekhdam24 · 25,501 Telegram ranks this channel #40 of 87 here — alongside 86 others — read 14 September 2026
آموزش نوین مقاله نویسی با هوش مصنوعی @tephd · 75,773 Telegram ranks this channel #44 of 87 here — alongside 86 others — read 19 August 2026
منابع پروپوزال،مقاله،پایان نامه @PAPhd · 63,655 Telegram ranks this channel #47 of 76 here — alongside 75 others — read 21 August 2026
کتابخانه دانشگاهی @Academic_Library · 144,470 Telegram ranks this channel #51 of 86 here — alongside 85 others — read 13 August 2026
رویدادهای دانشجویی تهران @roydad_daneshjoo · 55,337 Telegram ranks this channel #56 of 91 here — alongside 90 others — read 23 August 2026
BOOK™ @OfficialBook · 76,586 Telegram ranks this channel #57 of 87 here — alongside 86 others — read 19 August 2026
کانال فایل های صوتی وفیلم های روانشناسی وبهترین کتابها @psycology_OM · 23,126 Telegram ranks this channel #63 of 83 here — alongside 82 others — read 19 September 2026
کتابخانه @BookTop · 362,056 Telegram ranks this channel #74 of 88 here — alongside 87 others — read 10 August 2026
This channel appears in 19 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
Domains linked from posts
13 domains this channel’s own posts have linked to, measured by scanning the post bodies themselves — not the channel’s description, which is the separate Declared links section below when this entry has one. Appearing here is not a claim about who runs the linked site or why the channel linked to it; an advertisement, a news citation and a malicious link all leave the same kind of row.
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 9 November 2026 — this
entry's latest reading, not the date you are reading this.
“تحصیلات تکمیلی” (@PhdHi), 40,200 subscribers as measured 9 November 2026. Telegram Register, tgregister.com/channel/PhdHi.
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.