Telegram RegisterThe public register of Telegram

Channel

ALPHABET MED TEAM

@Alphabet_53

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

4,124subscribers

-2 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001300563881
TypeChannel
Username@Alphabet_53
CreatedBetween 1 March 2018 and 30 June 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live10 August 2026
Measurements held3
Confirmed unchanged1 time, most recently 10 August 2026
On Telegramt.me/Alphabet_53

Growth

4,1244,1284,1266 August 2026 — 4,126 subscribers7 August 2026 — 4,128 subscribers10 August 2026 — 4,124 subscribers6 August 202610 August 2026
3 measurements spanning 4 days, net -2. 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 4,123–4,129 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
10 Aug 2026, 22:174,124-4
7 Aug 2026, 18:014,128+2
6 Aug 2026, 20:304,126first reading

Engagement

8 posts held, back to 4 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 5 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
11.7%
avg views ÷ 4,124 subscribers
Avg views / post
481
4 posts measured
Reaction rate
3.74%
reactions ÷ views · ER floor
Posts in window
4
of 8 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.

What these figures were computed from
WindowRolling 30 days · latest post in window 18 July 2026
Posts held8 (4 July 202618 July 2026)
Views total1,924
Reactions total72
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Aug 2026, 12:17 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.

What this channel posts

Video runtime
14s
Average length
14s

Measured directly from 1 video with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no mark.

Reaction mix

139 reactions across 8 posts, in 5 distinct kinds. The most used accounts for 74.1% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
10374.1%
🤩1510.8%
🔥139.35%
🥰64.32%
👏21.44%

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 8 of the 8 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 139reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 8 most recent posts we hold, published 4 July 2026 to 18 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.

Recent posts

18 Jul 2026, 08:15 UTC484 views13 reactionsread 8 August 2026
Forwarded from @young_syriaPhoto

Photo, posted without a caption

12🤩1

18 Jul 2026, 08:15 UTC591 views35 reactionsread 8 August 2026
Forwarded from @young_syria

📢 إعلان نشر أولي: الترجمة العربية المعتمدة لكتاب "Die Parasiten des Menschen" "الطفيليات البشرية" يسعدنا في دار سورية الفتاة أن نعلن للمجتمع الطبي والأكاديمي عن النشر الأولي للترجمة العربية الرسمية للمرجع الطبي المرموق "Die Parasiten des Menschen" (الطفيليات البشرية) يأتي هذا الإنجاز العلمي ثمرة لجهود استثنائية وعمل أكاديمي دؤوب، حيث تكلل بالحصول على الموافقة والترخيص الرسمي لترجمة ونشر الكتاب باللغة العربية، في خ

26🔥5🤩3👏1

16 Jul 2026, 17:58 UTC411 views16 reactionsread 8 August 2026
Forwarded from @alphabetrecordingsVideo

بتعرف إنك بتقدر تدرس وتراجع بـ "سماعاتك" وبس؟🎧 إذا لسا ما بتعرف، فريق التسجيلات الصوتية مكمل معكم ليختصر عليكم التعب! 🎙️ هدفنا ببساطة: •نبسط المادة العلمية المعقدة. •نركز على الأفكار الذهبية وأسئلة الامتحان الهامة. سواء عم تدرس المادة لأول مرة أو عم تعمل مراجعة سريعة.. تسجيلاتنا هي طريقك الأسهل للتفوق. 🔥 خبرنا بالتعليقات، جربت تسمعنا الفصل الماضي؟🤩 [facebook_instagram] #Alphabet_recordings #Alphabet_Med_Team

14🤩2

15 Jul 2026, 18:30 UTC438 views8 reactionsread 8 August 2026
Forwarded from @NERDApp1Photo

لا ترضى إلا بنيرد. لا ترضى تعرف الجواب… بدون ما تعرف ليش. لأن الحفظ ممكن يوصلك للخيار الصح مرة، لكن فهم سبب الصح والغلط هو اللي بخليك تجاوب مهما تغيّرت صياغة السؤال. لا ترضى تحل السؤال… بدون ما ترجع لفكرته. مع Nerd بترجع مباشرة لصفحة المصدر، وبتشوف شرح الفكرة وكل صورها ضمن المنهاج، حتى ما يضل السؤال معلومة منفصلة عن أصلها. لا ترضى تدرس الفقرة… بدون ما تحل أسئلتها. من نفس الفقرة بتفتح الأسئلة المرتبطة فيها، وبتخ

4🥰2🔥1🤩1

12 Jul 2026, 18:01 UTC773 views39 reactionsread 8 August 2026
Photo

لكل محطةٍ تُنجَز… هناك أشخاص يستحقون الشكر🤍 مع اكتمال مهام الفريق لهذا الفصل، نتقدم بخالص الشكر والتقدير لجميع أعضاء الفريق على ما بذلوه من جهدٍ والتزامٍ وتعاون. نسأل الله ان يجعل عملنا خالصاً لوجهه🙏🏻 وبإذن الله نواصل مسيرة المشروع في الفصول القادمة✨ [facebook_instagram] #Alpha_UWorld_Index #Alphabet_Med_Team

30🤩4🔥3🥰2

7 Jul 2026, 17:54 UTC694 views8 reactionsread 8 August 2026
Forwarded from @NERDApp1Photo

بعد ما تخلص دورة، أصعب شي مو أنك ترجع تراجع… الأصعب تعرف شو لازم تراجع بالضبط. مو كل الأسئلة إلها نفس الأولوية. في أسئلة جاوبتها صح. في أسئلة غلطت فيها. في أسئلة تركتها بدون جواب. وفي أسئلة حاططها بالمفضلة أو إلها متشابهات ومكررات لازم تنتبه عليها. داخل Nerd فيك تعزل أسئلة الدورة حسب حالتها: الصحيحة، الخاطئة، غير المجابة، المفضلة، المتشابهات، والمكررة. هيك بدل ما تعيد الدورة كلها من البداية، بتراجع المكان اللي فعل

5🔥1🤩1🥰1

7 Jul 2026, 17:54 UTC482 views6 reactionsread 8 August 2026
Forwarded from @NERDApp1Photo

الحمدلله وبعد عناء وجهد طويل جداً.... صار فيك تدرس الفقرة… وتحل أسئلتها فوراً. زمان كانت المشكلة واضحة: تقرأ المحاضرة، وبعدها تروح تدور على أسئلة الدورات المرتبطة فيها. وأحياناً تحل السؤال وما تعرف بالضبط من أي فقرة إجت المعلومة. مع Nerd، المسار صار أذكى. بتدرس الفقرة من المحاضرة، وتشوف أسئلتها مباشرة. يعني وأنت ماشي بالمحاضرة، بتكون عم تخلص معها أسئلة الدورات المرتبطة فيها، خطوة بخطوة. والأهم: كل سؤال صار إله م

4🔥1🤩1

4 Jul 2026, 12:03 UTC868 views14 reactionsread 8 August 2026
Forwarded from @NERDApp1Photo

السلام عليكم ورحمة الله وبركاته 💜 طلابنا الأعزاء، من أول يوم كان هدف Nerd مو بس يكون تطبيق أسئلة، بل يكون مكان يساعد الطالب يدرس براحة، يفهم بعمق، ويرجع للمعلومة بدون تشتت. اليوم حبّينا نعرض لكم جزء من ميزات Nerd الموجودة حالياً ضمن سلسلة بسيطة وواضحة. كل صورة من الصور بتشرح ميزة معمولة لتختصر عليك وقت، تنظّم دراستك، وتخلي تجربتك أقرب لاحتياجك كطالب. داخل Nerd فيك: تفهم ليش كل خيار صح أو غلط، مو بس تعرف الجواب. تربط

8🔥2🤩2👏1🥰1

Showing the 8 most recent of 8 posts we hold for @Alphabet_53. 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.

Forward network

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.

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 10 August 2026 — this entry's latest reading, not the date you are reading this.

“ALPHABET MED TEAM” (@Alphabet_53), 4,124 subscribers as measured 10 August 2026. Telegram Register, tgregister.com/channel/Alphabet_53.

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.