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Telegram profile photo for اللجنة العلمية (نخبة أطباء الدواء )الدفعة السابعة صيدلة سريرية الجامعة الامارتية (مستوى سادس)

Channel

اللجنة العلمية (نخبة أطباء الدواء )الدفعة السابعة صيدلة سريرية الجامعة الامارتية (مستوى سادس)

@pharmacist_Ph1

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

1,185subscribers

+5 since we began measuring on 4 September 2026

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

Register entry

Telegram ID-1001590772170
TypeChannel
Username@pharmacist_Ph1
CreatedBetween 1 August 2021 and 28 February 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded4 September 2026
Last confirmed live18 September 2026
Measurements held5
Confirmed unchanged1 time, most recently 18 September 2026
On Telegramt.me/pharmacist_Ph1

Topic

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 18 September 2026 and assigned it the closest of 31 fixed categories, at 89% 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.

Growth

1,1761,1851,180.54 September 2026 — 1,180 subscribers6 September 2026 — 1,179 subscribers11 September 2026 — 1,176 subscribers14 September 2026 — 1,181 subscribers18 September 2026 — 1,185 subscribers4 September 202618 September 2026
5 measurements spanning 14 days, net +5. 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 1,175–1,186 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
18 Sept 2026, 21:581,185+4
14 Sept 2026, 14:381,181+5
11 Sept 2026, 11:371,176-3
6 Sept 2026, 22:011,179-1
4 Sept 2026, 18:221,180first reading

Engagement

4 posts held, back to 1 September 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 page of Telegram’s post history, 20 posts per page.

ERR · 30 days
6.31%
avg views ÷ 1,185 subscribers
Avg views / post
74.8
4 posts measured
Reaction rate
this channel exposes no reaction counts
Posts in window
4
of 4 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 1 September 2026
Posts held4 (1 September 20261 September 2026)
Views total299
Reactions total
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken4 Sept 2026, 18:22 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.

Recent posts

1 Sept 2026, 15:48 UTC74 viewsread 4 September 2026
Forwarded from @EiuniversityPhoto

Photo, posted without a caption

1 Sept 2026, 15:48 UTC73 viewsread 4 September 2026
Forwarded from @EiuniversityPhoto

Photo, posted without a caption

1 Sept 2026, 15:48 UTC76 viewsread 4 September 2026
Forwarded from @Eiuniversity

من قاعات الدراسة إلى خدمة المجتمع.. طلبة دكتور الصيدلة بالجامعة الإماراتية الدولية يناقشون أبحاث تخرجهم في أجواء علمية أكاديمية، شهدت كلية الطب والعلوم الصحية بالجامعة الإماراتية الدولية مناقشة أبحاث ومشاريع تخرج طلبة دكتور الصيدلة (PharmD) بقسم الصيدلة السريرية، في خطوة تعكس اهتمام الجامعة بتعزيز البحث العلمي وربطه بالقضايا الصحية والدوائية ذات الصلة المباشرة باحتياجات المجتمع. وتناولت الأبحاث عددًا من الموضوعات ا

1 Sept 2026, 15:48 UTC76 viewsread 4 September 2026
Forwarded from @EiuniversityPhoto

Photo, posted without a caption

Showing the 4 most recent of 4 posts we hold for @pharmacist_Ph1. 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

Republishes

Channels on the register whose posts this channel has forwarded.

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.

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.

حالات سريرية وأدوية ᴹᵉᵈᶜᵃˢᵉˢ🇵🇸
@MedCase7 · 32,757
Telegram ranks this channel #35 of 86 here — alongside 85 others — read 4 September 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 18 September 2026 — this entry's latest reading, not the date you are reading this.

“اللجنة العلمية (نخبة أطباء الدواء )الدفعة السابعة صيدلة سريرية الجامعة الامارتية (مستوى سادس)” (@pharmacist_Ph1), 1,185 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/pharmacist_Ph1.

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.