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Channel

NANGARHAR MEDICAL ACADEMY (NMA)| ننګرهار طبي اکاډمي

@NMA1398

On this record: Growth · Engagement · Reactions · Posts · Telegram's recommendations · Cite this entry

2,164subscribers

+1 since we began measuring on 21 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1001722289103
TypeChannel
Username@NMA1398
CreatedBetween 1 December 2021 and 30 April 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded21 August 2026
Last confirmed live21 August 2026
Measurements held2
Confirmed unchanged1 time, most recently 21 August 2026
On Telegramt.me/NMA1398

Growth

2,1632,1642,163.521 Aug 2026, 03:45 — 2,163 subscribers21 Aug 2026, 20:34 — 2,164 subscribers21 Aug 2026, 03:4521 Aug 2026, 20:34
2 measurements taken within a single day, net +1. 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 2,163–2,164 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
21 Aug 2026, 20:342,164+1
21 Aug 2026, 03:452,163first reading

Engagement

9 posts held, back to 9 August 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof Telegram’s post history, 20 posts per page.

ERR · 30 days
13.5%
avg views ÷ 2,164 subscribers
Avg views / post
292
9 posts measured
Reaction rate
0.264%
reactions ÷ views · ER floor
Posts in window
9
of 9 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 2 of 9 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 18 August 2026
Posts held9 (9 August 202618 August 2026)
Views total2,628
Reactions total2
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken21 Aug 2026, 03:45 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

2 reactions across 2 posts, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
2100.0%

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 2 of the 9 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 2reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 9 most recent posts we hold, published 9 August 2026 to 18 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.

Recent posts

18 Aug 2026, 08:27 UTC185 viewsread 21 August 2026
Photo

📢 د افغانستان په سطحه د #FIRST_AID for USMLE Step 1 جامع پروګرام...!!! 👇👇👇 د یو کلن جامع پروګرام يوولسمه میاشت په بریالیتوب سره روانه ده. د ډاڪټر صاحبانو د علمي کچې د ارزونې او د خارجي ، داخلي ازموینو لپاره معیاري تیاري د پیاوړتیا په موخه، د پروګرام اوومه (7th Test) ازموینه د GIT System سیسټم په برخه کې واخیستل شوه. په دې جامع پروګرام کې د هر سیسټم له بشپړېدو وروسته منظمې علمي ازموینې ترسره کېږي، څو د ډاڪټر صاحبانو

17 Aug 2026, 11:08 UTC265 viewsread 21 August 2026
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د عامې روغتیا وزارت اړوند طبي شورا عمومي رياست د فعاليت جواز (اېګزيټ) ازموينې ګډونوالو د پام وړ! https://nexa.gov.af/fa/candidate/33/search قابل توجه فارغان امتحان جواز فعالیت (ایگزیت) رياست عمومی شورای طبی مربوط وزارت صحت عامه! https://nexa.gov.af/fa/candidate/33/search

17 Aug 2026, 10:12 UTC235 viewsread 21 August 2026
Photo

د عامې روغتيا وزارت اړوند جامع (Comprehensive) تحريري ازموينې لپاره د نومليکنې خبرتيا! ـــــــــــــــ اطلاعیه ثبت نام برای امتحان تحریری جامع (Comprehensive) مربوط وزارت صحت عامه!

16 Aug 2026, 08:58 UTC277 views1 reactionsread 21 August 2026

د افغانستان په سطحه د #FIRST_AID for the USMLE STEP 1 جامع پروګرام کې 👇👇👇 لاندې نوى سيسټم شروع شو . د يوکلن جامع پروګرام يوولسمه (11) مياشت په برياليتوب سره روانه ده ... نن لاندې نوى سيسټم شروع شو د محصلینو د غوښتنې په اساس شروع شوي دي. #Respiratory_System. تنفسي جهاز - په سيستميک شکل سره شروع شو .! - د شروع نېټه : يکشنبې ورځ د اسد #25 مه نېټه - وخت : ماسپښین - 12:00-PM 01:30 • د ننګرهار طب پوهن

1

15 Aug 2026, 06:09 UTC281 viewsread 21 August 2026

د افغانستان په سطحه د #FIRST_AID for the USMLE STEP 1 جامع پروګرام کې 👇👇👇 لاندې نوى سيسټم شروع کېږي. د محصلینو د غوښتنې په اساس شروع شوي دي. #Respiratory_System. تنفسي جهاز - په سيستميک شکل سره شروع کيږي ! - د شروع نېټه : يکشنبې ورځ د اسد #25 مه نېټه - وخت : ماسپښین - 12:00-PM 01:30 • د ننګرهار طب پوهنځي نامتو استاد پوهنيار لطف الله دانش سره ... • ځانګړي نړيوال معياري ميتود سره • هفته وار سناريو

10 Aug 2026, 02:42 UTC481 views1 reactionsread 21 August 2026
Photo

د (#Entrance_Exam ) سهارنۍ دوره !!! د طبي اکمال تخصص آماده ګۍ يا Entrance Preparation Program اتمه دورې څخه لومړۍ ازموينه 1st Test واخيستل شوو . دشپږمیاشتېني جامع پروګرام دوهمه میاشتئ تکمل شوي.ا او (3) میاشت په بریالیتوب سره روانه ده. د ډاڪټر صاحبانو د علمي کچې د ارزونې او د خارجي ، داخلي ازموینو لپاره معیاري تیاري د پیاوړتیا په موخه، د پروګرام لومړۍ (1st Test)ازموینه واخیستل شوه. په دې جامع پروګرام کې د هر مياشتې ل

1

9 Aug 2026, 05:41 UTC432 viewsread 21 August 2026
Photo

د عامې روغتیا وزارت اړوند طبي شورا عمومي رياست د فعاليت جواز (اېګزيټ) ازموينې د نوم ليکنې خبرتيا! اطلاعیه ثبت‌نام امتحان جواز فعالیت (ایگزیت) رياست عمومی شورای طبی مربوط وزارت صحت عامه! https://nexa.gov.af/ps/exit-reg

Showing the 9 most recent of 9 posts we hold for @NMA1398. 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.

Appears in Telegram’s recommendations for other channels

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.

د ازموینو ملي اداره - NExA - ادارهٔ ملی امتحانات
@NExA_gov_afg · 74,434
Telegram ranks this channel #12 of 78 here — alongside 77 others — read 21 August 2026

This channel appears in 1 seed channel's Telegram-generated recommendation list in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.

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

“NANGARHAR MEDICAL ACADEMY (NMA)| ننګرهار طبي اکاډمي” (@NMA1398), 2,164 subscribers as measured 21 August 2026. Telegram Register, tgregister.com/channel/NMA1398.

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.