3 measurements spanning 8 days, 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 589–590 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
14 Aug 2026, 12:27
590
+1
6 Aug 2026, 18:02
589
no change
6 Aug 2026, 02:35
589
first reading
Engagement
19 posts held, back to 11 June 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
50.2%
avg views ÷ 590 subscribers
Avg views / post
296
5 posts measured
Reaction rate
1.14%
reactions ÷ views · ER floor
Posts in window
5
of 19 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 4 of 5 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 1 August 2026
Posts held
19 (11 June 2026 – 1 August 2026)
Views total
1,481
Reactions total
15
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
6 Aug 2026, 18:02 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
65 reactions across 15 posts, in 7 distinct kinds. The most used accounts for 58.5% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
38
58.5%
👍
11
16.9%
👏
6
9.23%
🔥
5
7.69%
🙏
3
4.62%
👌
1
1.54%
🤩
1
1.54%
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 15 of the 19 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 65reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 19 most recent posts we hold, published 11 June 2026 to 1 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.
مغزهای ناشنوا
او همیشه در پیِ تقویت باورهای قبلی خود است. نه میخواهد و نه میتواند دیدگاهی تازه را درک کند. تمام مدتی که دیگران صحبت میکنند، منتظر فرصتی است تا همان نظر قبلی خود را با بیان دیگری تکرار کند و از آن دفاع کند یا یکی دیگر از باورهایش را مطرح کند شاید این بار تأیید شود. سماجتش در حرف زدن برای این که مبادا چیزی بشنود و چیزی بفهمد حیرتآور است
اما نوع دیگری هم وجود دارد.
او نیز به حرف دیگران گوش نمیدهد،…
.
آخرین فرصتها برای حضور در دوره جدید
کارگاه سقراط در اتاق درمان
📅 یکشنبهها
از ۱۱ مرداد الی ۱۹ مهر
⏰ ساعت ۱۸ الی ۲۰
📌کسب اطلاعات بیشتر و ثبتنام:
@nikzima_support
📲 09981400988
تجربه یک تمرین سقراطی
رویداد #رایگان #آنلاین
💫سفر به دنیای مراجع💫
سفر به دنیای مراجع تجربهای برای مشاوران و درمانگران؛ جایی که تمرین میکنیم پیش از قضاوت، باورهای خود را موقتاً کنار بگذاریم، منطق مراجع را از درون بفهمیم و آن را با نگاهی نقادانه بررسی کنیم. این همان مهارتی است که به پرسشگری سقراطی عمق و اثر میبخشد.
⭐️ با راهبری
🎓 دکتر وحیدرضا پورتقی
دکتری روانشناسی
نماینده مؤسسه تمرینهای فلسفی 🇫🇷
…
.
اگر مدتی خبری از تو نباشد دیگران چه میگویند؟
احوالت را میپرسند یا اعتراض میکنند که چرا احوال ما را نمیپرسی؟
نه اینکه بخواهی مشاور یا درمانگر همه اطرافیانت باشی، بلکه دغدغه اصیل تو و نحوه بودنت، اینکه غالباً قوی بودی و طرف مراقب و حامی هر رابطهای بودی، تصویر خاصی از تو در ذهن دیگران ساخته. با کمی انحراف، به راحتی این تصویر تبدیل میشود به اینکه تو هرگز خسته و بدحال نیستی و بدتر از آن حق خسته و بدحال بودن ندا…
.
عقاید اتفاقیه
آنچه ما را در زندگی پیش میبرد عقیدههایی است که تنها حاصل تجربیات تصادفی ما هستند، نه شناخت حاصل از تجربه و تأملِ نظاممند. این عقیدهها در بهترین حالت تنها نشان میدهند یک پدیده چگونه در گذشته بر ما اثر گذاشته است. (با الهام از اسپینوزا، فیلسوف هلندی)
همیشه برایم سوال بود که چرا او ماشینش را در فاصلهای دورتر از ساختمان محل کارمان که یکی از مدارس معروف تهران بود پارک میکند. اما دلیلش را جویا نمی…
.
📍بازخورد ارزشمند یکی از شرکتکنندگان دوره بیستم کارگاه "سقراط در اتاق درمان":
🌟 یادگیری جمعی
✨شنیدن چنین بازتابهایی برای ما دلگرمکننده است چرا که نشان میدهد تفکر و گفتگو میتواند مسیر یادگیری را هموارتر کند✨
در صورت تمایل شما هم میتوانید به جمع ما بپیوندید.
⭕ جهت اطلاع از اهداف کارگاه سقراط در اتاق درمان و دورهی در حال ثبتنام، لطفا به پیامهای پینشده در کانال مراجعه کنید🙏🏻
📌کسب اطلاعات بیشتر و ثبتنا…
.
طوطی سقراطی
سالها پیش با گروهی از دوستان فوتبال بازی میکردم. یکی از آنها چند حرکت ناب از فوتبالیستی معروف مشاهده کرده بود. هروقت توپ به پایش میرسید تمام تلاشش تقلید همان حرکات بود. از هر 10 تلاش یک بار حرکت را درست اجرا میکرد و از هر 10 اجرای موفق یکی را در زمان درستی انجام میداد و از آن به وجد میآمد! تمرینِ صبر خوبی برای همتیمیهایش بود!
سالها بعد دیدم در اتاق درمان نیز همین اشتباه تکرار میشود. تقلیدها…
.
📍بازخورد شنیدنی یکی از شرکتکنندگان دوره بیستم کارگاه "سقراط در اتاق درمان":
🌟 گفتوگو و سفر درونی
▪️گفتوگومحور بودن کارگاه
▪️ارزشمند بودن سفر درونی و بازنگری در خود
✨خوشحالیم که این مسیر رو با هم ادامه میدهیم و هر بار دورهها با انرژی تازهتر برگزار میشود✨
در صورت تمایل شما هم میتوانید به جمع ما بپیوندید.
⭕ جهت اطلاع از اهداف کارگاه سقراط در اتاق درمان و دورهی در حال ثبتنام، لطفا به پیامهای پینشده در…
👍3
Showing the 12 most recent of 19 posts we hold for @philosophicalconsultation. 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 — 486,578 of 1,481,502entries 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
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.
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.
“سقراط در اتاق درمان” (@philosophicalconsultation), 590 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/philosophicalconsultation.
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.