3 measurements spanning 12 days, net +31. 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 136–177 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
18 Sept 2026, 16:59
172
+31
9 Sept 2026, 13:23
141
no change
6 Sept 2026, 08:47
141
first reading
Engagement
13 posts held, back to 5 August 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 page of Telegram’s post history, 20 posts per page.
ERR · 30 days
278.9%
avg views ÷ 172 subscribers
Avg views / post
480
6 posts measured
Reaction rate
1.24%
reactions ÷ views · ER floor
Posts in window
6
of 13 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 6 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 6 September 2026
Posts held
13 (5 August 2026 – 6 September 2026)
Views total
2,878
Reactions total
29
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
9 Sept 2026, 13:23 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
61 reactions across 8 posts, in 6 distinct kinds. The most used accounts for 32.8% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
20
32.8%
👏
12
19.7%
❤
10
16.4%
💘
7
11.5%
❤🔥
6
9.84%
🏆
6
9.84%
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 13 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 61 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 13 most recent posts we hold, published 5 August 2026 to 6 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.
سلسلة نصائح بحوث التخرج | (11)
🚨 50 عينة تكفي؟ لو لازم 100؟ 🤔 ( هذا واحد من اهم بوستات هاي السلسلة )
لان أكبر حيرة يواجها الطالب قبل بداية بحثه و من أكثر الأسئلة اللي نسمعها ببحوث التخرج :
" تعتقدون شكم عينة أحتاج؟"
"إذا أخذت عينات أكثر، يصير بحثي أقوى؟"
خلينا نبسطها 👇
🔹 أول شيء: لا تختار العدد من عندك لان عدد العينات لازم يكون له مبرر علمي وإحصائي ويعتمد على نوع الدراسة، هدف البحث وطريقة التحليل وغيرها من العوام…
🚨 عندك بحث تخرج وما تدري من وين تبدي؟ يمنا الحل 🔥
خصم خاص تخفيض يوصل لـ ٣٥٪ على خدمة بحوث التخرج ، لفترة محدودة بس!
نوفرلك كل شي من الألف للياء:
📌 اختيار عنوان قوي وقابل للتنفيذ فعلاً، مو بس "حلو على الورق"
📌 تصميم استبيان/استمارة جمع بيانات احترافية
📌 تنظيم وتجهيز البيانات للتحليل بدون أخطاء
📌 تحليل إحصائي دقيق وعرض نتائج واضح
📌 كتابة ومناقشة النتائج بأسلوب أكاديمي مرتب
📌 تنسيق وكتابة البحث بالكامل وتجهيزه للتسليم…
من أكثر الأشياء اللي تسعدنا بعد اكمال أي بحث أو سمنار 😔🤍
وهذا جزء من آراء الطلاب اللي تشرفنا بعمل البحوث والسمنارات الهم
خلال السنة الدراسية السابقة والحالية
إن شاء الله نبقى عند حسن ظنكم وتبقى ثقتكم مسؤولية نحافظ عليها 🤍
📌 إذا عدكم بحث تخرج أو سمنار أو اي استفسار، تواصلوا ويانا :
📩 @Doc_1st
سلسلة نصائح بحوث التخرج | (10)
لا تبدأ بجمع العينات قبل ما تتأكد من هاي الأشياء
بعد ما اختاريت عنوان البحث وصممت أداة جمع البيانات وراجعت أسئلتها وخياراتها...
هنا وصلنا لمرحلة جمع البيانات (Data Collection)، وهنا هم الطلاب يوكعون بأخطاء ممكن يكتشفوها بعد ما يكونون جمعوا جزء من العينات.
مثلاً تكتشف أن سؤال مهم نسيته أو أن بعض البيانات اللي جمعتها ما راح تستفاد منها أو أن طريقة تسجيلك للبيانات ما كانت مناسبة للتحليل…
سلسلة نصائح بحوث التخرج | (9)
استبيانك ممكن يكون غلط رغم أن كل أسئلته صحيحة ! تعرف ليش؟
بعد ما تكلمنا بالمنشور السابق عن الأسئلة المفتوحة، اليوم حنذكر خطأ ثاني شائع جداً :
مو المشكلة دائماً بالسؤال نفسه، أحياناً المشكلة تكون بالخيارات اللي وضعتها تحت السؤال يعني ممكن يكون سؤالك ممتاز، لكن خيارات الإجابة ناقصة أو غير مناسبة، وبالنهاية تحصل على بيانات ما تمثل إجابات المشاركين بشكل صحيح.
ــــــــــ
❌ مثال بسيط :
ما…
سلسلة نصائح بحوث التخرج | (8)
سؤال واحد باستبيانك ممكن يسبب مشكلة جبيرة بالاحصاء والتحليل
من أكثر الأخطاء اللي لاحظناها أثناء العمل على بحوث التخرج :الطالب يكثر من الأسئلة المفتوحة داخل الاستبيان، يعني أسئلة ما بيها خيارات ويخلي المشارك يكتب إجابته من عنده.
مثلاً:
❌ شنو رأيك باستخدام الذكاء الاصطناعي في المجال الطبي؟
ويترك مربع فارغ للإجابة :
• هنا ممكن شخص يكتب سطر كامل
• وشخص يكتب كلمتين
• وشخص يكتب إجابة مختلفة …
"بسم الله الرحمن الرحيم"
🎓 رحلتك لبحث تخرج ناجح تبدأ من هنا
"سلسلة نصائح بحث التخرج"
🤍 اختيار عنوان البحث
🤍 المواضيع المتداولة (trending)
🤍 أمثلة المواضيع المتداولة (trending)
🤍 قبل اعتماد أي عنوان جاوب على الأسئلة
🤍 ملف يحتوي 40 عنوان بحثي جاهز مع دليل عملي لاختيار الموضوع pdf
🤍 لا تستخدم أي استبيان لبحثك قبل قراءة هذا المنشور!
🤍 لا تصمم استبيان تخرجك بنفسك قبل أن تعرف هاي القاعدة
🤍 أسئلة أقل = بحث أدق "تجنب حشو ال…
سلسلة نصائح بحوث التخرج | (7)
كثرة أسئلة استمارة جمع البيانات لا تعني أن بحثك أقوى!
من أكثر الأخطاء اللي لاحظناها خلال عملنا لبحوث التخرج ان الطلاب يحشون الاستبيان او الاستمارة بهواية اسئلة غير ضرورية اعتقاداً منهم انو "كلما زاد عدد الأسئلة أو البيانات المطلوبة، صار البحث أقوى."
لكن الحقيقة بالعكس أداة جمع البيانات (سواء كانت استبيان أو استمارة جمع بيانات) المضبوطة والصحيحة مو اللي تحتوي على أكبر عدد من الأسئلة وإ…
👏6❤2
Showing the 12 most recent of 13 posts we hold for @Doct_1st. 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
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 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.
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 18 September 2026 — this
entry's latest reading, not the date you are reading this.
“Excellence Corner” (@Doct_1st), 172 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/Doct_1st.
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.