3 measurements taken within a single day, net +1. 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 569–570 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
7 Aug 2026, 00:41
570
+1
6 Aug 2026, 18:04
569
no change
6 Aug 2026, 09:04
569
first reading
Engagement
20 posts held, back to 28 January 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
42.3%
avg views ÷ 570 subscribers
Avg views / post
241
2 posts measured
Reaction rate
2.21%
reactions ÷ views · ER floor
Posts in window
2
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 1 of 2 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 5 August 2026
Posts held
20 (28 January 2026 – 5 August 2026)
Views total
482
Reactions total
5
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
6 Aug 2026, 18:04 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.
Reaction mix
267 reactions across 17 posts, in 5 distinct kinds. The most used accounts for 49.4% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
132
49.4%
👏
84
31.5%
🙏
46
17.2%
👎
4
1.50%
🤔
1
0.375%
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 17 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 267reactions 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 28 January 2026 to 5 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.
از مفهومبندی رانه مرگ (Death Drive) توسط فروید چنین برداشت میشود که رانه غالب، رانه مرگ است و رانه زندگی تلاش میکند آن را تعدیل نماید. نکتهای که جالب مینماید این است که به گفته کاروپرسو و سیمانک (2011)، آن اندازه که به مفهوم رانه جنسی پرداخته شده است، چه توسط خودِ فروید و چه آنها که درباره آثار او نوشتهاند، به مفهوم رانه مرگ پرداخته نشده است. گویا مقاومتی برای مواجهه با آن در میان روانکاوان نیز وجود دارد.
در …
برگزاری دوره خوانش متون پایه روانکاوی در جهاد دانشگاهی خراسان رضوی
دوره اول: مقالات فروید
شرکت در این دوره برای همه علاقهمندان آزاد است.
📍زمان و شیوه برگزاری این دوره تغییر کرده است تا تعداد بیشتری از علاقهمندان امکان شرکت در آن را پیدا کنند.
این دوره به نوعی مکمل دوره "رواندرمانی روانکاوانه" است که در حال برگزاری است. چراکه "خوانش مقالات" بیشتر بر تئوری متمرکز است و "رواندرمانی روانکاوانه" بیشتر بر مهارت.
شمار…
سکوت، عنصر وجودی مهاجران
"وقتی به زبان مادری خود سخن نمیگویی، در جهانی از صداها و شیوههای اندیشیدن زندگی میکنی که از عمیقترین خاطرات جسمانی و عاطفی کودکیات جدا هستند."
یکی از آثار مهاجرت بر روان، «بیصدا شدن» و «سکوت روانی» است که میتوان آن را «رنج خاموش» نامید. این امر تنها به دلیل ناآشنایی با زبان کشور مقصد رخ نمیدهد، بلکه ریشه در بخشهای عمیقتر روان دارد. به عبارت دیگر، ممکن است مهاجر حتا در زبان کشور مق…
کلکسیونر روانکاوی نباشید
این چند خط را برای کسانی مینویسم که به دنبال فراگیری تئوری روانکاوی هستند، اما احساس میکنند با آنچه آموختهاند نمیتوانند کار کنند.
بسیار میبینم علاقهمندانی را که در کلاسهای مختلف شرکت میکنند، انواع دروس حضوری و آنلاین و آفلاین و صوتی و مکتوب و ... را میگیرند، وقت و هزینه و لیبیدوی بسیار میگذارند، اما همچنان احساس میکنند آموختههایشان در اتاق درمان به کار نمیآید. شاید این تجربه ک…
توضیحی درباره این دوره:
این دوره جامع یک ساله در قالب چهار سطح طراحی شده است و قرار بود هر فصل یک دوره آن را برگزار کنیم. دوره مقدماتی در خردادماه برگزار شد اما به دلیل بیشتر بودن تعداد متقاضیان از ظرفیت دوره، قرار شد کد دوم هم تعریف شود که همین دوره خواهد بود.
سطوح ۱ تا ۳ در شهریورماه، پاییز، و زمستان برگزار خواهد شد.
شرکت در هر دوره مستلزم گذراندن دوره قبلی است.
ثبتنام کد دوم این دوره آغاز شد. در این دوره مقدماتی تلاش خواهم کرد داربست اولیه برای درک مدل روانکاوی ارایه دهم.
این دوره پیشنیاز دوره بعدی است که در شهریورماه برگزار میشود
این نوشته کوتاه، مقدمهای بود بر نشست امروز:
برای ما درمانگران، رخدادهای سهمگین اجتماعی فقط اتفاقاتی نیستند که در بیرون از اتاق درمان رخ میدهند. تجربه ماههای گذشته به ما نشان داد که چطور این رخدادها چالشهای جدی در فرایند درمان مراجعانمان و حتا در درک و نگرش ما نسبت به کاری که میکنیم،ایجاد میکنند.
نشان داد که چگونه دیوارهای آجری و سیمانی اتاق درمان میتواند به پرچینهایی به راحتی نفوذپذیر تبدیل شود که واقعیت ب…
✅ «عطیه» که آمد ...
♦️ این یادنوشته را به فرخندگی حضور «عطیه» در زندگیمان و بهمثابه دِین و شکرانهای میگزارم.
▫️https://t.me/GahNevise/432
▫️@Gahnevise
جواد رسولی
🔶 سی شمع در قاب دلم روشن میکنم و به رقص شعلهها و تلألؤ آنها چشم میدوزم و با آرامش از طرف «عطیه» فوت میکنم تا وُرود او را به سیویک سالگی جشن بگیرم.
▫️ عطیه دومین فرزند ماست و ازجمله کودکان ابدی است (سندرم داون). ۴۷ کروموزم دارد و با همین یک کروم…
توجه فرمایید:
با توجه به تکمیل ظرفیت این دوره امکان ثبتنام جدید وجود ندارد.
کد بعدی همین دوره در تاریخی بعد از امتحانات دانشگاهها باز خواهد شد.
👍5
Signed Masoud Moghaddaszadeh
Showing the 12 most recent of 20 posts we hold for @dr_moghaddaszadeh. 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 — 444,747 of 1,481,243entries 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
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
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.
Handles this channel named that no longer answer
Dead references
1
handles named in this channel’s posts, vacant today
Evidenced gone
0
we ourselves saw one of these resolve, at some point
Never seen alive
1
vacant every time we have ever looked
@dr_moghaddaszadeh named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all.A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
@drmoghaddaszadeh named in 1 post, 8 August 2026 – 8 August 2026
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 7 August 2026 — this
entry's latest reading, not the date you are reading this.
“دکتر مقدس زاده” (@dr_moghaddaszadeh), 570 subscribers as measured 7 August 2026. Telegram Register, tgregister.com/channel/dr_moghaddaszadeh.
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.
