Channel
@freudisalive
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
9,646subscribers
+51 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
| Telegram ID | -1001681518621 |
|---|---|
| Type | Channel |
| Username | @freudisalive |
| Description | روانکاوی زندگی روزمره راه ارتباطی @freudisalive1 صفحهاینستاگرام https://www.instagram.com/freud.is.alive |
| Created | Between 1 December 2021 and 30 April 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 14 August 2026 |
| Measurements held | 5 |
| Confirmed unchanged | 1 time, most recently 14 August 2026 |
| On Telegram | t.me/freudisalive |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 14 Aug 2026, 01:46 | 9,646 | +31 |
| 10 Aug 2026, 16:37 | 9,615 | +15 |
| 7 Aug 2026, 21:36 | 9,600 | +5 |
| 7 Aug 2026, 00:30 | 9,595 | no change |
| 7 Aug 2026, 00:18 | 9,595 | first reading |
44 posts held, back to 23 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 17 pagesof 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 15 August 2026 |
|---|---|
| Posts held | 44 (23 July 2026 – 15 August 2026) |
| Views total | 81,363 |
| Reactions total | 1,718 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 15 Aug 2026, 20:42 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.
Lifetime counters from Telegram’s own channel header, read 15 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
1,718 reactions across 44 posts, in 23 distinct kinds. The most used accounts for 77.5% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 1,331 | 77.5% | |
| 👍 | 164 | 9.55% | |
| 💔 | 37 | 2.15% | |
| 👏 | 31 | 1.80% | |
| 👌 | 27 | 1.57% | |
| 🔥 | 27 | 1.57% | |
| 🥰 | 18 | 1.05% | |
| 👎 | 16 | 0.931% | |
| 🤔 | 16 | 0.931% | |
| ❤🔥 | 8 | 0.466% | |
| 😭 | 8 | 0.466% | |
| 💘 | 7 | 0.407% | |
| 😁 | 7 | 0.407% | |
| 🌚 | 5 | 0.291% | |
| 🕊 | 4 | 0.233% | |
| 😇 | 4 | 0.233% | |
| 🤡 | 2 | 0.116% | |
| 🌭 | 1 | 0.058% | |
| 🐳 | 1 | 0.058% | |
| 😍 | 1 | 0.058% | |
| 3 further kinds | 3 | 0.175% |
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 44 of the 44 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 1,718reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 44 most recent posts we hold, published 23 July 2026 to 15 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.
واقعیتی شناختهشده است که روابط عاطفی دوستانه که بر احترام و تحسین استوارند به سادگی میتوانند بدل به میلی شهوانی شوند. در واقع وسعت پیوندهایی عاطفی از این دست، که در آغاز هدفی دنبال نمیکنند، مسیر هموارتری برای ابژهگزینی جنسی فراهم میکنند. ● @freudisalive ● زیگموند فروید روانشناسی توده و تحلیل ایگو
❤17😁3🤔1
... و بهترین راه برای فراموش کردن ناخوشیهای جزئی، رد و بدل کردن افکار با دوستان است. ● @freudisalive ● زیگموند فروید به ماری بناپارت ۱۳ اوت ۱۹۳۷
❤19👍3👏2
زندگیهایی که آرمانهای دستنیافتنی بر آنها حاکماند ــ صداقت کامل، شناخت مطلق، خوشبختی بینقص، عشق جاودان ــ زندگیهایی هستند که همچون شکستی مداوم، تجربه میشوند. ● @freudisalive ● آدام فیلیپس، کرمهای داروین: درباب داستانهای زندگی و داستانهای مرگ
❤18
هیچ بزرگسالی همیشه بزرگسال نیست، چراکه افراد فقط در سن خودشان نیستند، آنها تا حدی در هر سنی هستند، و در عینحال هیچ سن معینی ندارند. ● @freudisalive ● دانلد وینیکات، ۱۹۶۰
❤35👏6
اگر یکی از گرایشهای دیرپای نظامهای اعتقادی غربی این بوده است که برای آنچه جاودانه است ــ خدا، حقیقت، روح ــ ارزش قائل شوند، داروین و فروید ما را ترغیب میکنند بررسی کنیم که این اشتیاق به ادامهداشتن، قرار است راهحل چه چیزی باشد. و ما را وامیدارند زندگیمان را شگفتانگیزتر از مرگمان بدانیم؛ مرگ ما اجتنابناپذیر است، اما لقاحمان نه. ● @freudisalive ● آدام فیلیپس، کرمهای داروین: درباب داستانهای زندگی و داستانها…
❤11👌2
داروین و فروید، هر یک به شیوهای کاملا متفاوت، ما را ترغیب میکنند که بازندههای خوبی باشیم؛ یعنی بتوانیم، اگر لازم باشد، دلبستگی خود را به آدمها و اندیشهها، و در نهایت به خودمان، کنار بگذاریم. ● @freudisalive ● آدام فیلیپس، کرمهای داروین: درباب داستانهای زندگی و داستانهای مرگ
❤38👍3
آرزو کردن و آرزوی چیزی را برای کسی داشتن، امری پیشپاافتاده است و به نظرم بازگشتی است به روزگاری که بشر به قدرت جادویی و همهتوان افکار باور داشت. ● @freudisalive ● زیگموند فروید به توماس مان ژوئن ۱۹۳۵
❤25💔5🌭1🐳1👏1
به نظر میرسد قدرت علوم اعصاب شناختی دقیقاً از این ناشی میشود که با اندام ذهن یعنی مغز چنان رفتار میکند که گویی هیچ تفاوتی با سایر اندامهای بدن ندارد. همانطور که الیور ساکس عصبشناس بریتانیایی بیان میکند: «عصبروانشناسی، مانند عصبشناسی کلاسیک، در پی آن است که کاملاً عینی باشد، و قدرت عظیمش و پیشرفتهایش نیز دقیقاً از همین امر ناشی میشود. اما موجود زنده، و بهویژه انسان، در نهایت و در ابتدا موجودی فعال است؛ ی…
❤19👍8👎2
بخش بزرگی از کار و زندگی فکری من صرف تلاش برای از میان برداشتن آرمانهای واهی خودم و آرمانهای واهی بشر شده است. ● @freudisalive ● زیگموند فروید به رومن رولان ۴ مارس ۱۹۲۳
❤40
آنچه فرایند بازآموزی موسوم به روانکاوی در واقع انجام میدهد، از میان برداشتن یا بازتنظیم اجتنابهای بیربط و جستوجوهای نامتناسب است. ● @freudisalive ● آدام فیلیپس، در باب بهتر شدن
❤25🤔3
ممکن است بیمار با میل روانکاو به درمان کردن او همراه شود؛ همانگونه که کودک میتواند با میل والد به اینکه «والد خوبی» باشد همراهی کند. اگر هدف روانکاو درمان بیمار باشد، با همهٔ آنچه این هدف در خود دارد؛ از جمله تصور همهچیزدانی و اینکه بداند چه چیزی برای دیگری بهتر است، این امکان وجود دارد بیمار در جریان درمان، خودش را گم کند. یا به تعبیر میلنر(Milner): «نباید روانکاوی را با قصد "درمان کردن" کسی آغاز کرد.» درما…
❤23👌7🔥2🤔1
بانوی دلربا، عشق دلنشین (Fair mistress, sweet love) به آگاهیات میرسانم که نامهٔ دلپذیرت، که در آن با بزرگواری اجازه دادهای سفری زیارتی به سوی چشمان زیبایت داشته باشم، مرا بسیار شاد کرده است و اکنون دارم خورجینم را میبندم تا ببینم که آیا از تو فقط نگاهی پرمهر نصیبم خواهد شد یا بوسهای از لبانت نیز در انتظارم است. و از آنجا که مسافرِغریب از امتیازات و حقوق گوناگونی برخوردار است، بر من خرده مگیر اگر بیش از یک بوسه …
❤38🌚3😁2
Showing the 12 most recent of 44 posts we hold for @freudisalive. 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 — 813,016 of 1,481,217entries 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.
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.
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.
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.
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.
“روانکاوی زندگی روزمره” (@freudisalive), 9,646 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/freudisalive.
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.