يعني Sensitivity and Specificity وصف للتحليل إنما PPV and NPP وصف للنتيجة، نتيجة التحاليل
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Channel
@DMBMS2020
On this record: Topic · Growth · Engagement · Reactions · Posts · Telegram's recommendations · Cite this entry
4,225subscribers
-23 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
| Telegram ID | -1001319261228 |
|---|---|
| Type | Channel |
| Username | @DMBMS2020 |
| Created | Between 1 March 2018 and 31 July 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 18 September 2026 |
| Measurements held | 13 |
| Confirmed unchanged | 1 time, most recently 18 September 2026 |
| On Telegram | t.me/DMBMS2020 |
Education — 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 13 September 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 why it has no browse page of its own yet.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 18 Sept 2026, 21:40 | 4,225 | -3 |
| 14 Sept 2026, 09:58 | 4,228 | -1 |
| 10 Sept 2026, 14:19 | 4,229 | -1 |
| 1 Sept 2026, 19:43 | 4,230 | -2 |
| 29 Aug 2026, 18:35 | 4,232 | +1 |
| 27 Aug 2026, 01:03 | 4,231 | -7 |
| 24 Aug 2026, 09:03 | 4,238 | -3 |
| 20 Aug 2026, 19:07 | 4,241 | +1 |
| 17 Aug 2026, 23:26 | 4,240 | -2 |
| 14 Aug 2026, 15:26 | 4,242 | -4 |
| 11 Aug 2026, 04:21 | 4,246 | -1 |
| 8 Aug 2026, 02:12 | 4,247 | -1 |
| 7 Aug 2026, 11:16 | 4,248 | first reading |
20 posts held, back to 12 May 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 5 pages of Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 20 posts for this entry, the most recent from 29 July 2026. An engagement rate over an empty window would be a number about nothing.
32 reactions across 13 posts, in 2 distinct kinds. The most used accounts for 50.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 16 | 50.0% | |
| 👍 | 16 | 50.0% |
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 13 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 32 reactions 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 12 May 2026 to 29 July 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.
يعني Sensitivity and Specificity وصف للتحليل إنما PPV and NPP وصف للنتيجة، نتيجة التحاليل
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Positive predictive value (PPV) 90% دي بقه سهله، احتمالية إن النتيجة الإيجابية تكون صحيحه فعلا 90٪ Positive predictive value (NPP) 90% دي برده سهله، احتمالية إن النتيجة السلبية تكون صحيحه فعلا 90٪
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Sensitivity 100% معناها كل الناس اللي سلبي فعلا معندهمشي المرض ولذا يستخدم في ال Screening Specificity 100% كل الناس الايجابي عندهم فعلا المرض ولذا يستخدم في Confirmation
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Sensitivity 90% معناها احتمالية انه إيجابي في الناس المرضى 90٪ واحتمالية انه يكون سلبي كاذب 10٪ Specificity 90٪ معناها احتمالية انه سلبي في الناس الصحيحة 90٪ واحتمالية انه إيجابي كاذب ١٠٪
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ما معنى الآتي وازاي أترجمه في دماغي 1- Sensitivity of AFP 90% in HCC 2- Specificity of AFP 90% in HCC 3- Positive predictive value (PPV) 90% 4- Negative predictive value (NPV) 90% ______ 1- Sensitivity of AFP 90% in HCC معناها إن احتمالية إن النتيجة تكون إيجابية في الناس المصابين بسرطان الكبد 90٪ أترجمها في دماغي إن الناس اللي نتيجة الAFP سلبية فيها احتمالية انها تكون خطأ ويكون عندهم سرطان الكبد هي 10٪ …
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في هذا الفيديو، نربط الأرقام النظرية بالحياة اليومية وبالعيادة مستقبلاً. نشرح بطريقة مبسطة وعملية كيفية حساب احتياجات الجسم من الطاقة. نتعلم معاً: كيفية حساب معدل الأيض الأساسي (BMR). كيفية حساب إجمالي الحرق اليومي (TDEE) بناءً على معامل النشاط البدني. طريقة سهلة لتقدير السعرات في الأكل بدون ميزان. كيفية حساب مؤشر كتلة الجسم (BMI) لتحديد السمنة والنحافة. أتمنى لكم مشاهدة ممتعة ومفيدة، ولو لديكم أي استفسارات يمك…
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https://youtu.be/K4rzLTF2tPk?si=YVcXt33UacC9C3xj ده فيديوا للي حابب يحسب السعرات الحرارية اليومية بتاعته، والسعرات الحرارية في الأكل بتاعه وازاي يخس أو يطخن وال BMI فيديوا جميل إن شاء الله بس اصبر عليه للآخر
قضاء الله خير فاحرصوا على ما ينفعكم : كثير من الناس حزن لخروج المنتخب المصري من كأس العالم وأقول لهم: كيف تحزن لشيئ علمه الله أزلا، وكتبه في اللوح المحفوظ قبل خلق السموات والأرض بخمسين الف سنة. ثم عند حدوثه حدثت النتيجة بإرادة الله جل وعلا، بل هو الخالق لهذا العمل فهوالذي خلق أفعال لاعبي الكرة بأن أعطاهم القدرة على تسجيل الأهداف. كيف تحزن هذا الحزن العظيم لشيء ترفيهي لا يقدم ولا يؤخر، بل والله قد يؤخر، إن صناعة ال…
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فيديوهين مفيدين إن شاء الله : Ammonia: https://youtu.be/bmZG3ulS190?si=FUh2iXIP_juMiLfC Hypoglycemia: https://youtu.be/rqpO7zZLRBE?si=3WTTnhgcsmOTjEN_
Photo, posted without a caption
Showing the 12 most recent of 20 posts we hold for @DMBMS2020. 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.
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 2 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 18 September 2026 — this entry's latest reading, not the date you are reading this.
“خير الناس أنفعهم للناس📚” (@DMBMS2020), 4,225 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/DMBMS2020.
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.