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Channel

Exiled Medic Unzensiert πŸ‡©πŸ‡ͺ Fabian Kowallik

@ExiledMedicFabian

On this record: Topic Β· Growth Β· Engagement Β· Reactions Β· Posts Β· Citations Β· Cite this entry

131,487subscribers

-724 since we began measuring on 7 August 2026

Risers and fallers across the register Β· movement among entries of 100,000–316,228.

Register entry

Telegram ID-1001627402348
TypeChannel
Username@ExiledMedicFabian
CreatedBetween 1 December 2021 and 30 April 2023 β€” estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live24 October 2026
Measurements held46
Confirmed unchanged1 time, most recently 24 October 2026
On Telegramt.me/ExiledMedicFabian

Topic

Health & wellness β€” a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 9 August 2026 and assigned it the closest of 31 fixed categories, at 100% 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 β€” 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

131,096132,211131,653.57 August 2026 β€” 132,211 subscribers8 August 2026 β€” 132,203 subscribers9 August 2026 β€” 132,198 subscribers10 August 2026 β€” 132,172 subscribers11 August 2026 β€” 132,185 subscribers12 August 2026 β€” 132,172 subscribers13 August 2026 β€” 132,135 subscribers14 August 2026 β€” 132,105 subscribers15 August 2026 β€” 132,069 subscribers17 August 2026 β€” 132,046 subscribers18 August 2026 β€” 132,044 subscribers19 August 2026 β€” 132,026 subscribers20 August 2026 β€” 132,020 subscribers21 August 2026 β€” 131,989 subscribers22 August 2026 β€” 132,003 subscribers24 August 2026 β€” 131,989 subscribers25 August 2026 β€” 131,968 subscribers26 August 2026 β€” 131,958 subscribers27 August 2026 β€” 131,924 subscribers28 August 2026 β€” 131,885 subscribers29 August 2026 β€” 131,853 subscribers30 August 2026 β€” 131,838 subscribers31 August 2026 β€” 131,821 subscribers1 September 2026 β€” 131,817 subscribers2 September 2026 β€” 131,779 subscribers4 September 2026 β€” 131,743 subscribers6 September 2026 β€” 131,769 subscribers10 September 2026 β€” 131,768 subscribers12 September 2026 β€” 131,778 subscribers14 September 2026 β€” 131,719 subscribers15 September 2026 β€” 131,691 subscribers17 September 2026 β€” 131,660 subscribers29 September 2026 β€” 131,500 subscribers5 October 2026 β€” 131,316 subscribers9 October 2026 β€” 131,218 subscribers13 October 2026 β€” 131,122 subscribers14 October 2026 β€” 131,096 subscribers15 October 2026 β€” 131,550 subscribers16 October 2026 β€” 131,742 subscribers18 October 2026 β€” 131,673 subscribers18 October 2026 β€” 131,661 subscribers19 October 2026 β€” 131,664 subscribers21 October 2026 β€” 131,626 subscribers22 October 2026 β€” 131,565 subscribers23 October 2026 β€” 131,519 subscribers24 October 2026 β€” 131,487 subscribers131,4877 August 202624 October 2026
46 measurements spanning 78 days, net -724. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between β€” snapshots are recorded only when a count changes, so gaps mean β€œno change observed”, never β€œinterpolated”. The vertical axis spans 130,929–132,378 and does not start at zero.
Measurement log β€” every subscribers count we have recorded, most recent 20 of 46
Measured (UTC)SubscribersChange
24 Oct 2026, 10:06131,487-32
23 Oct 2026, 10:56131,519-46
22 Oct 2026, 11:27131,565-61
21 Oct 2026, 02:05131,626-38
19 Oct 2026, 22:07131,664+3
18 Oct 2026, 23:19131,661-12
18 Oct 2026, 00:31131,673-69
16 Oct 2026, 23:29131,742+192
15 Oct 2026, 21:06131,550+454
14 Oct 2026, 21:40131,096-26
13 Oct 2026, 13:51131,122-96
9 Oct 2026, 15:40131,218-98
5 Oct 2026, 08:40131,316-184
29 Sept 2026, 02:39131,500-160
17 Sept 2026, 23:18131,660-31
15 Sept 2026, 19:59131,691-28
14 Sept 2026, 01:20131,719-59
12 Sept 2026, 05:39131,778+10
10 Sept 2026, 01:35131,768-1
6 Sept 2026, 17:38131,769first reading

Engagement

42 posts held, back to 31 May 2026 β€” the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 160 pages of Telegram’s post history, 20 posts per page.

ERR Β· 30 days
39.3%
avg views Γ· 131,487 subscribers
Avg views / post
51,700
8 posts measured
Reaction rate
0.493%
reactions Γ· views Β· ER floor
Posts in window
8
of 42 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) Γ· views β€” 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 Β· latest post in window 20 October 2026
Posts held42 (31 May 2026 – 20 October 2026)
Views total413,900
Reactions total2,041
Forwards / commentsnot exposed by the public surface β€” not measured, not estimated
Readings taken24 Oct 2026, 01:49 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 β€œcorrecting” the number into something nobody can reproduce.

Precision. Telegram publishes view counts on its public widget in short form β€” 8.12K, 3.7M β€” 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 β€” read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.

Reaction mix

13,359 reactions across 42 posts, in 30 distinct kinds. The most used accounts for 41.1% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❀5,49241.1%
πŸ‘4,94737.0%
πŸ‘7155.35%
πŸ’―5714.27%
πŸ”₯3232.42%
🀯3192.39%
πŸ’‹3072.30%
πŸ™2241.68%
🀣1250.936%
πŸ’Š420.314%
πŸ₯°370.277%
πŸ₯΄370.277%
πŸ€ͺ350.262%
πŸ€—250.187%
🐳200.15%
🍌190.142%
πŸ¦„180.135%
🌭130.097%
πŸ‘€130.097%
😁130.097%
10 further kinds640.479%

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 β€” πŸ™ is thanks in one channel and mourning in another β€” 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 β€” 4.34K, 1.2M β€” 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 42 of the 42 sampled posts in this sample. Summed by Telegram’s own count on each post β€” not by adding up the per-emoji breakdown above β€” those same posts carry 13,359 reactions in total: the kind of figure the paragraph above means by β€œa reaction total printed elsewhere on the page”.

Measured over the 42 most recent posts we hold, published 31 May 2026 to 20 October 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

20 Oct 2026, 16:14 UTCβ‰ˆ21,800 views133 reactionsread 24 October 2026
Photo

Dieses Billige Pulver Heilt Leaky gut nach EINER Dosis https://youtu.be/IWpovmlV300

πŸ‘85❀23πŸ”₯8πŸ’‹7πŸ˜‡6πŸ‘4

17 Oct 2026, 10:38 UTCβ‰ˆ37,700 views249 reactionsread 24 October 2026

Das Moderne Leben Ist Eine Krankheit https://youtu.be/zY9VfHwROZg

πŸ’―137πŸ‘61❀33πŸ‘8πŸ’‹5🀯5

14 Oct 2026, 15:24 UTCβ‰ˆ41,900 views250 reactionsread 24 October 2026

GemΓΌse Von Augenheilend Bis Nierensteine (Ranking) du isst das falsche genuese https://youtu.be/z76ICbayT-I

❀146πŸ‘58πŸ₯΄18πŸ™17🀯6⚑5

11 Oct 2026, 07:17 UTCβ‰ˆ52,000 views222 reactionsread 24 October 2026

Darum Wirkt Dein Magnesium Nicht https://youtu.be/F1woK48-RiM

πŸ‘150❀48πŸ₯°18πŸ’‹3🀯3

7 Oct 2026, 15:15 UTCβ‰ˆ59,700 views283 reactionsread 24 October 2026

DAS killt deinen Cortisol Belly in Maximal 7 Tagen https://youtu.be/ZoF1dbYsMRc

❀188πŸ‘81πŸ”₯5πŸ’‹4🀯3πŸ†2

4 Oct 2026, 06:52 UTCβ‰ˆ64,700 views400 reactionsread 24 October 2026

1 Nelke im Kaffee jeden Morgen und DAS HIER passiert https://youtu.be/bNQk4ZdBsWc

πŸ‘255❀106πŸ”₯16πŸ’―10πŸ¦„8🀯5

30 Sept 2026, 14:28 UTCβ‰ˆ65,600 views217 reactionsread 24 October 2026

Die Ultimative Supplement Tierlist (15+ Jahre Erfahrung) https://youtu.be/F2otUg29iME

πŸ‘119❀47πŸ”₯24🀯12πŸ’‹11πŸ¦„4

26 Sept 2026, 15:32 UTCβ‰ˆ70,500 views287 reactionsread 24 October 2026

Die GesΓΌndesten Lebensmittel in Deutschland 2026 https://youtu.be/JqN9bW8im2s

πŸ‘166❀60πŸ”₯32🀯12πŸ’‹10πŸ‘€7

23 Sept 2026, 14:59 UTCβ‰ˆ69,100 views291 reactionsread 24 October 2026

Diese Virale Zahnpasta Remineralisiert ZΓ€hne https://youtu.be/aLlMrsXyHQs

❀166πŸ‘80πŸ”₯26πŸ™ˆ8πŸ’‹7πŸ†4

19 Sept 2026, 07:10 UTCβ‰ˆ74,200 views510 reactionsread 24 October 2026

Meide alles was die Regierung dir empfiehlt https://youtu.be/xuaZyqKwqOI

πŸ‘246πŸ‘141❀94πŸ’‹12🀯12🀣5

16 Sept 2026, 13:53 UTCβ‰ˆ66,800 views287 reactionsread 24 October 2026

20 Jahre Darm SchΓ€den in 30 Tagen Heilen https://youtu.be/4NrJ_Ffzc88

❀187πŸ‘62πŸ™20πŸ‘10πŸ’‹8

13 Sept 2026, 14:25 UTCβ‰ˆ69,600 views223 reactionsread 24 October 2026

Die Wahrheit ΓΌber Peptide (Exposed) https://youtu.be/HDpRjJlER7s

πŸ‘137❀43πŸ‘25πŸ‘Ύ6πŸ’‹6🀯6

Showing the 12 most recent of 42 posts we hold for @ExiledMedicFabian. 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 β‰ˆ was rounded by Telegram before we ever saw it β€” t.me prints views in full below 1,000 and to three significant figures above, so β‰ˆ1,200,000 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

Named by 1 registered channel β€” 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 β€” 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 β€” 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 β€” the β€œNamed 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 24 October 2026 β€” this entry's latest reading, not the date you are reading this.

β€œExiled Medic Unzensiert πŸ‡©πŸ‡ͺ Fabian Kowallik” (@ExiledMedicFabian), 131,487 subscribers as measured 24 October 2026. Telegram Register, tgregister.com/channel/ExiledMedicFabian.

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 Β· 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.