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Channel

23 MEDICOSSQUAD

@medicossquad23

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

6,801subscribers

+176 since we began measuring on 27 August 2026

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

Register entry

Telegram ID-1002119864792
TypeChannel
Username@medicossquad23
CreatedBetween 1 November 2023 and 31 May 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded27 August 2026
Last confirmed live6 September 2026
Measurements held5
Confirmed unchanged1 time, most recently 6 September 2026
On Telegramt.me/medicossquad23

Growth

6,6256,8016,71327 August 2026 — 6,625 subscribers27 August 2026 — 6,625 subscribers30 August 2026 — 6,632 subscribers2 September 2026 — 6,719 subscribers6 September 2026 — 6,801 subscribers27 August 20266 September 2026
5 measurements spanning 10 days, net +176. 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 6,599–6,827 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
6 Sept 2026, 17:186,801+82
2 Sept 2026, 04:256,719+87
30 Aug 2026, 07:176,632+7
27 Aug 2026, 06:306,625no change
27 Aug 2026, 06:156,625first reading

Engagement

20 posts held, back to 17 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 page of Telegram’s post history, 20 posts per page.

ERR · 30 days
44.7%
avg views ÷ 6,801 subscribers
Avg views / post
3,040
20 posts measured
Reaction rate
1.21%
reactions ÷ views · ER floor
Posts in window
20
of 20 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 19 of 20 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 26 August 2026
Posts held20 (17 August 202626 August 2026)
Views total60,820
Reactions total724
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken27 Aug 2026, 06:30 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

724 reactions across 19 posts, in 10 distinct kinds. The most used accounts for 38.1% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
27638.1%
👍13618.8%
👌7810.8%
🙏719.81%
🔥648.84%
👀435.94%
💯395.39%
🫡131.80%
❤‍🔥30.414%
10.138%

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 19 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 724 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 17 August 2026 to 26 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

26 Aug 2026, 17:16 UTC≈1,140 viewsread 27 August 2026

Sample of Garuda explanation of NLEP https://t.me/medicossquad23/2647

26 Aug 2026, 17:13 UTC≈1,170 views19 reactionsread 27 August 2026

You have enough good time to succeed in third year exams ✊🏻 Use the opportunity...enroll in Garuda and complete SPM longs easily with telegu explanations FMT longs notes is also uplaoded in Garuda SPM Must do Questions SUPATHAM SERIES 💎 NEET PG tarvatha pedtanu

11🙏6👀1👌1

26 Aug 2026, 12:55 UTC≈1,730 views21 reactionsread 27 August 2026

Manaki kuda ilaney undocu.. FMT Theory baga chuskondi... Don't ignore!!!!!

👍201

26 Aug 2026, 12:49 UTC≈1,780 views14 reactionsread 27 August 2026
Photo

Tamilnadu is also conducting Forensic Practical for 50 marks only

👀7❤‍🔥3🔥31

26 Aug 2026, 07:06 UTC≈2,110 views20 reactionsread 27 August 2026
Photo

Telangana lo FMT practical 50 marks ki matramey keeping Mana AP gurinchi inka update raledhu safe side kosam 50 marks techukovali to pass ani prepare avandi ...safe side kosam mundu jagrata Inka no time waste by discussing about this practical We can see later FMT single paper subject sooo theory neglect cheyadhu ani cheptuna

17👍3

26 Aug 2026, 06:18 UTC≈2,130 views24 reactionsread 27 August 2026

Practical gurinchi we will think after ... Practical is not soo difficult comparative to pathology & Microbiology meru avi clear chesaru antey FMT & SPM easy ga clear chestaru Present focus on theory .. No more deviations

24

25 Aug 2026, 14:46 UTC≈2,520 views82 reactionsread 27 August 2026

Chuseyandi Nachindha ledha ani react avandi ☺️

👌6022

25 Aug 2026, 14:44 UTC≈2,520 views68 reactionsread 27 August 2026
File

File, posted without a caption

51👌17

25 Aug 2026, 13:57 UTC≈2,560 views57 reactionsread 27 August 2026

NLEP confusion ga undha???????

💯39🙏9👀81

25 Aug 2026, 11:07 UTC≈2,660 views48 reactionsread 27 August 2026

Don't waste time inka serious ga chadvali 💪🏻

👍22🔥1610

24 Aug 2026, 16:36 UTC≈2,930 views11 reactionsread 27 August 2026

Inka me preparation ki Elanti support kavali ?????

11

24 Aug 2026, 16:13 UTC≈2,960 views52 reactionsread 27 August 2026

Kaustuba series NEET PG Exam tarvatha post chestanu

31👍15🫡6

Showing the 12 most recent of 20 posts we hold for @medicossquad23. 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.

medicomama1.0
@medicomama1 · 28,824
Telegram ranks this channel #1 of 48 here — alongside 47 others — read 9 September 2026
Boards and Beyond 2026
@Boards_Beyond · 46,854
Telegram ranks this channel #20 of 68 here — alongside 67 others — read 27 August 2026

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.

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 6 September 2026 — this entry's latest reading, not the date you are reading this.

“23 MEDICOSSQUAD” (@medicossquad23), 6,801 subscribers as measured 6 September 2026. Telegram Register, tgregister.com/channel/medicossquad23.

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.