نحن لا نتعامل مع الواقع مباشرةً؛ بل نتعامل معه من خلال المفاهيم التي نستخدمها لتسميته. وكلما تغيّر تعريف المفهوم، تغيّرت الأشياء التي نلاحظها، والأحكام التي نصدرها، والمشاعر التي نختبرها، والسلوكيات التي نعتبرها ممكنة أو مستحيلة.
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Channel
@psychiatry4arabs
On this record: Topic · Growth · Engagement · Reactions · Posts · Posts edited after publishing · Polls · Citations · Telegram's recommendations · Cite this entry
11,577subscribers
+69 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1001655470490 |
|---|---|
| Type | Channel |
| Username | @psychiatry4arabs |
| Created | Between 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 19 September 2026 |
| Measurements held | 33 |
| Confirmed unchanged | 1 time, most recently 19 September 2026 |
| On Telegram | t.me/psychiatry4arabs |
Health & wellness — 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 11 September 2026 and assigned it the closest of 31 fixed categories, at 93% 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 why it has no browse page of its own yet.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 19 Sept 2026, 12:59 | 11,577 | +4 |
| 17 Sept 2026, 03:18 | 11,573 | +7 |
| 15 Sept 2026, 05:36 | 11,566 | +11 |
| 13 Sept 2026, 12:42 | 11,555 | +24 |
| 11 Sept 2026, 18:39 | 11,531 | +11 |
| 9 Sept 2026, 07:57 | 11,520 | -7 |
| 5 Sept 2026, 22:17 | 11,527 | +15 |
| 3 Sept 2026, 18:01 | 11,512 | +12 |
| 2 Sept 2026, 06:55 | 11,500 | +4 |
| 1 Sept 2026, 08:35 | 11,496 | -1 |
| 31 Aug 2026, 07:27 | 11,497 | -5 |
| 30 Aug 2026, 05:28 | 11,502 | -3 |
| 29 Aug 2026, 02:04 | 11,505 | -3 |
| 27 Aug 2026, 23:06 | 11,508 | +1 |
| 26 Aug 2026, 19:36 | 11,507 | -8 |
| 25 Aug 2026, 17:13 | 11,515 | -2 |
| 24 Aug 2026, 15:27 | 11,517 | -3 |
| 23 Aug 2026, 00:56 | 11,520 | +2 |
| 21 Aug 2026, 13:38 | 11,518 | -3 |
| 19 Aug 2026, 14:38 | 11,521 | first reading |
26 posts held, back to 12 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 46 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 1 September 2026 |
|---|---|
| Posts held | 26 (12 June 2026 – 1 September 2026) |
| Views total | 4,641 |
| Reactions total | 172 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 2 Sept 2026, 23:52 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.
1,450 reactions across 26 posts, in 15 distinct kinds. The most used accounts for 82.1% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 1,191 | 82.1% | |
| 😢 | 69 | 4.76% | |
| 👏 | 42 | 2.90% | |
| 👍 | 40 | 2.76% | |
| 🔥 | 34 | 2.34% | |
| 💯 | 19 | 1.31% | |
| 🤯 | 19 | 1.31% | |
| 💔 | 8 | 0.552% | |
| 🤔 | 8 | 0.552% | |
| 🥰 | 6 | 0.414% | |
| ⚡ | 3 | 0.207% | |
| ❤🔥 | 3 | 0.207% | |
| 👌 | 3 | 0.207% | |
| 🤩 | 3 | 0.207% | |
| 🙏 | 2 | 0.138% |
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 26 of the 26 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 1,450 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 26 most recent posts we hold, published 12 June 2026 to 1 September 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.
نحن لا نتعامل مع الواقع مباشرةً؛ بل نتعامل معه من خلال المفاهيم التي نستخدمها لتسميته. وكلما تغيّر تعريف المفهوم، تغيّرت الأشياء التي نلاحظها، والأحكام التي نصدرها، والمشاعر التي نختبرها، والسلوكيات التي نعتبرها ممكنة أو مستحيلة.
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#تصحيح المشكلة ليست في دعوة الأهل إلى الاستماع لأطفالهم، بل في تحويلها إلى علاقة سببية مبسّطة. فليس كل طفل لم يجد من يصغي إليه سيحتاج لاحقاً إلى علاج نفسي، وليس كل من يحتاج للعلاج كان ضحية لوالدين لم يستمعا إليه. قد يفعل الأهل كل ما يستطيعون، ومع ذلك قد يظهر اضطراب نفسي؛ فالصحة النفسية نتاج تفاعل عوامل بيولوجية ونفسية وأسرية وبيئية. كما قد يتحوّل لوم الأهل أحياناً إلى وسيلة لإسقاط مشكلات المريض عليهم وتجنّب مواجهة …
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"ولا يمكن ابتكار عقاب أشد شيطانية، إن كان مثل هذا الأمر ممكناً من الناحية المادية، من أن يُلقى بالمرء في المجتمع ويظل غير ملحوظ على الإطلاق. فإذا لم يلتفت أحد عندما ندخل، ولم يسمع أحد عندما نتكلّم، ولم يعبأ أحد بما نفعله، بل إذا كان كل شخص نلتقيه يتجاهلنا تماماً، ويتصرّف كما لو كنّا أشياء غير موجودة، فإنّ نوعاً من الغضب واليأس العاجز سيتصاعد فينا بعد وقت قصير، بحيث تصبح أشد أنواع التعذيب الجسدي قسوةً مصدراً للراحة؛ ل…
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#Inhalants يرتبط التسمم بأيٍّ من المواد الإنشاقية (Inhalants) التالية بـ نقص بوتاسيوم الدم (Hypokalemia)؟
Shares as published. No per-option vote count is published by Telegram, so none is shown.
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في المسافة بين الضرورة والإمكان، بين الشخص الذي أنت عليه والشخص الذي يمكن أن تصبحه، تبدأ عملية تكوين الذات. اضطراب علاقة الإنسان بذاته قد يتخذ اتجاهين متعاكسين؛ فإما أن يرفض أن يكون نفسه، أو قد يريد أن يكون نفسه بطريقة متخيّلة لا تنسجم مع حدوده وواقعه. فالشخص الذي يقول "أنا لن أتغير" يحتاج أن نُعيد إليه الإمكان، بينما الذي يقول "يجب أن أتغيّر بشكل جذري وسأبدأ من الصفر" قد يحتاج ربّما أن نُعيده إلى حدوده وما هو ممكن…
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#caffeine جميع العبارات التالية صحيحة حول الكافيئين Caffeine، ما عدا:
Shares as published, totalling 101%. No per-option vote count is published by Telegram, so none is shown.
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في الثقافة النفسية المعاصرة، كثيراً ما يُنظَر إلى الاستقلال بوصفه علامة على النضج بينما قد يُنظر إلى الحاجة إلى الآخرين باعتبارها ضعفاً أو "تعلُّق مرضي". ما يجب التأكيد عليه أن التعلّق بالآخرين ليس انحراف عن الطبيعي، فالإنسان كائن علائقي والحاجة إلى القرب والأمان تستمر طيلة حياة الإنسان. يصبح التعلُّق مشكلة عندما يتحول إلى تبعية أو خوف مفرط من الهجر أو فقدان للقدرة على اتخاذ القرار والعمل باستقلالية. والوجه الآخر ي…
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أيٌّ من التالي يُعد خاطئاً فيما يتعلق بمتلازمة الشخصية بين النوبات في صرع الفص الصدغي (Gastaut–Geschwind syndrome)؟
Shares as published. No per-option vote count is published by Telegram, so none is shown.
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من يهرب من قلقه، يهرب في الحقيقة من الباب الذي يقوده إلى ذاته.
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يُعد ضعف أو غياب استجابة احمرار الجلد بعد تطبيق النياسين (Blunted niacin skin-flush response) مؤشراً حيوياً محتملاً (Potential biomarker) لأي من الاضطرابات النفسية التالية؟
Shares as published, totalling 101%. No per-option vote count is published by Telegram, so none is shown.
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#history #philosophy 🔴 قراءة تاريخية في الذهان بوصفه محاولة للحفاظ على الذات يُعد رونالد لينغ (R. D. Laing) من أبرز ممثلي التيار الوجودي والفينومينولوجي في الطب النفسي. في كتابه The Divided Self، رأى أن بعض التجارب الذهانية قد تُفهَم كمحاولات للحفاظ على تماسُك الذات أمام شعور بتهديد الوجود، لا كمجرد خلل دماغي. - استند إلى مفهوم انعدام الأمان الأنطولوجي (Ontological Insecurity)، وميّز ثلاثة مخاوف: ⭕️ الابتلاع (Eng…
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#DidYouKnow #bipolar #lithium ⭕️ تبلغ نسبة انتشار الشقيقة (Migraine) لدى مرضى الاضطراب ثنائي القطب (Bipolar Disorder) نحو ضعفين إلى ثلاثة أضعاف مقارنة بعامّة السكان. ✅ هناك أدلة متواضعة تشير إلى أن وجود تاريخ من الشقيقة قد يرتبط باستجابة غير كافية للعلاج الأُحادي بالليثيوم (Lithium monotherapy)، إلا أن هذا الارتباط لم يُثبَت بصورة قاطعة.
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Showing the 12 most recent of 26 posts we hold for @psychiatry4arabs. 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.
@psychiatry4arabs edited 1 post 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.
The 6 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.
#Inhalants يرتبط التسمم بأيٍّ من المواد الإنشاقية (Inhalants) التالية بـ نقص بوتاسيوم الدم (Hypokalemia)؟
Shares as published. No per-option vote count is published by Telegram, so none is shown.
#caffeine جميع العبارات التالية صحيحة حول الكافيئين Caffeine، ما عدا:
Shares as published, totalling 101%. No per-option vote count is published by Telegram, so none is shown.
أيٌّ من التالي يُعد خاطئاً فيما يتعلق بمتلازمة الشخصية بين النوبات في صرع الفص الصدغي (Gastaut–Geschwind syndrome)؟
Shares as published. No per-option vote count is published by Telegram, so none is shown.
يُعد ضعف أو غياب استجابة احمرار الجلد بعد تطبيق النياسين (Blunted niacin skin-flush response) مؤشراً حيوياً محتملاً (Potential biomarker) لأي من الاضطرابات النفسية التالية؟
Shares as published, totalling 101%. No per-option vote count is published by Telegram, so none is shown.
تقريباً، ما هي نسبة الإصابة بالفصام (Schizophrenia) عند مريض يعاني من متلازمة دي جورج (DiGeorge syndrome)؟
Shares as published. No per-option vote count is published by Telegram, so none is shown.
#neurocognitive #dementia رجل 60 سنة يتمتع بصحة جيدة، خضع لزرع قرنية. بعد ثلاثة أشهر أصبح مصاباً بخرف شديد. عند الفحص يَظهر لديه رمع عضلي (myoclonic jerks). يُظهِر تخطيط الدماغ: "periodic bursts of electrical activity superimposed on a slow background".
Shares as published. 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 26 most recent posts we hold, published 12 June 2026 to 1 September 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.
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.
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 7 seed channels' Telegram-generated recommendation lists in total. 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 19 September 2026 — this entry's latest reading, not the date you are reading this.
“طب نفسي بالعربي” (@psychiatry4arabs), 11,577 subscribers as measured 19 September 2026. Telegram Register, tgregister.com/channel/psychiatry4arabs.
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.