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Channel

💧 GesundBrunnen - Liebe dein Leben

@Gesundbrunnen

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

12,533subscribers

+62 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001223326366
TypeChannel
Username@Gesundbrunnen
Created4 June 2021 — measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live17 September 2026
Measurements held31
Confirmed unchanged1 time, most recently 17 September 2026
On Telegramt.me/Gesundbrunnen

Topic

Health & wellness — 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 11 September 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 — 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

12,43712,55612,496.56 August 2026 — 12,471 subscribers6 August 2026 — 12,472 subscribers7 August 2026 — 12,466 subscribers8 August 2026 — 12,462 subscribers9 August 2026 — 12,463 subscribers10 August 2026 — 12,459 subscribers11 August 2026 — 12,455 subscribers13 August 2026 — 12,456 subscribers14 August 2026 — 12,454 subscribers16 August 2026 — 12,443 subscribers17 August 2026 — 12,440 subscribers18 August 2026 — 12,438 subscribers19 August 2026 — 12,461 subscribers20 August 2026 — 12,469 subscribers21 August 2026 — 12,465 subscribers23 August 2026 — 12,459 subscribers24 August 2026 — 12,466 subscribers25 August 2026 — 12,459 subscribers26 August 2026 — 12,453 subscribers27 August 2026 — 12,452 subscribers30 August 2026 — 12,449 subscribers31 August 2026 — 12,447 subscribers1 September 2026 — 12,443 subscribers2 September 2026 — 12,437 subscribers4 September 2026 — 12,439 subscribers6 September 2026 — 12,438 subscribers9 September 2026 — 12,539 subscribers11 September 2026 — 12,556 subscribers13 September 2026 — 12,552 subscribers15 September 2026 — 12,541 subscribers17 September 2026 — 12,533 subscribers12,5336 August 202617 September 2026
31 measurements spanning 42 days, net +62. 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 12,419–12,574 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 31
Measured (UTC)SubscribersChange
17 Sept 2026, 11:4012,533-8
15 Sept 2026, 08:3912,541-11
13 Sept 2026, 13:5612,552-4
11 Sept 2026, 21:2112,556+17
9 Sept 2026, 12:3912,539+101
6 Sept 2026, 06:1612,438-1
4 Sept 2026, 02:1812,439+2
2 Sept 2026, 17:2712,437-6
1 Sept 2026, 15:0712,443-4
31 Aug 2026, 14:4312,447-2
30 Aug 2026, 14:1312,449-3
27 Aug 2026, 16:5912,452-1
26 Aug 2026, 19:2512,453-6
25 Aug 2026, 20:1712,459-7
24 Aug 2026, 23:4512,466+7
23 Aug 2026, 09:4712,459-6
21 Aug 2026, 20:0812,465-4
20 Aug 2026, 14:0212,469+8
19 Aug 2026, 11:5412,461+23
18 Aug 2026, 14:3812,438first reading

Engagement

42 posts held, back to 18 June 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 47 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
29.3%
avg views ÷ 12,533 subscribers
Avg views / post
3,670
8 posts measured
Reaction rate
0.236%
reactions ÷ views · 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) ÷ 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 7 of 8 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 2 September 2026
Posts held42 (18 June 2026 – 2 September 2026)
Views total29,379
Reactions total51
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken2 Sept 2026, 21:42 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.

What this channel posts

Video runtime
2h 30m
Average length
6m 32s

Measured directly from 23 videos with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no ≈ mark.

Reaction mix

539 reactions across 38 posts, in 23 distinct kinds. The most used accounts for 34.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍18334.0%
❤17031.5%
🔥315.75%
🤮295.38%
😭234.27%
👎193.53%
💯183.34%
👏101.86%
😁91.67%
😱91.67%
🌭71.30%
🙏71.30%
🤩50.928%
🤝40.742%
🖕30.557%
🤯30.557%
🥰20.371%
🥱20.371%
✍10.186%
💊10.186%
3 further kinds30.557%

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 40 of the 42 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 539 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 42 most recent posts we hold, published 18 June 2026 to 2 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.

Recent posts

2 Sept 2026, 17:59 UTC367 views0 reactionsread 2 September 2026
Photo

5 Vorteile von Zahnpulver gegenüber Zahnpasta ● Natürliche Inhaltsstoffe Zahnpulver besteht oft aus rein natürlichen Zutaten wie Tonerde, Natron, Aktivkohle, Kräutern oder ätherischen Ölen. Es enthält, anders als Zahnpasta, keine künstlichen Konservierungsstoffe, Farbstoffe oder Geschmacksverstärker. ● Keine unnötigen Chemikalien Viele Zahnpasten enthalten Schaumbildner wie Natriumlaurylsulfat, die bei empfindliche…

2 Sept 2026, 12:22 UTC612 views20 reactionsread 2 September 2026
Video

Das ist mal ein wundervoller Anfang Schule zu verändern... Ja, noch lange nicht das Ziel aber zumindest ein Anfang. Denn hier möchte ich darauf wetten, dass die Vorfreude auf diese Stunde riesig ist. Darum geht's, Freude, Spaß Quelle 🔗🌳 Allerlei Gesundbrunnen 🤝 https://t.me/Gesundbrunnen

👍11❤9

1 Sept 2026, 06:09 UTC690 views7 reactionsread 2 September 2026
Forwarded from @PerlenDesTages

Finanzielle Gesundheit - Mein Leben, meine Regeln Auf YouTube ansehen: https://www.youtube.com/watch?v=vrKce84uWz4 Überall pfeifen es die Spatzen von den Dächern. Insolvenz hier, Lastenausgleich da, usw. Gespielt wird am Ende mit der Angst eines jeden Einzelnen. In manchen Fällen endet diese Angst sogar mit dem Tot. So dramatisch es auch klingt, muss es mal angesprochen und benannt werden, denn das ist leider auch …

❤5👍1👏1

29 Aug 2026, 17:35 UTC≈1,050 views8 reactionsread 2 September 2026
Forwarded from @PerlenDesTages

CO₂ - Der körpereigene Superheld 👉🏻 Auf YouTube ansehen: https://www.youtube.com/watch?v=Jvn0JT348d8 In dieser Folge spreche ich mit Tatjana Strobel über den Superheld oder auch Wegweiser unseres Körpers - CO₂ und seine zentrale Rolle. Wir sprechen über den Unterschied zwischen äußerem CO₂ und dem körpereigenen CO₂, seine Funktion als Signalgeber für den Sauerstofftransport und seine Bedeutung für pH-Wert, Nervens…

❤5👍2👏1

28 Aug 2026, 18:44 UTC≈1,230 views5 reactionsread 2 September 2026
Photo

Der teure Pandemieplan der WHO Ex-WHO Mediziner David Bell veröffentlichte im Australian einen Aufsatz, der argumentiert, wie die Investitionen in die WHO schädlich für die globale Gesundheit sind. Der Artikel erschien auf English in The Australian und beim Brownstone Institute. Hier die übersetzte Version: Weiterlesen 🔗🌳 Allerlei Gesundbrunnen 🤝 https://t.me/Gesundbrunnen

🔥5

26 Aug 2026, 12:48 UTC≈10,300 views9 reactionsread 2 September 2026
Video

Industrieller Sondermüll "Wie Deine Lieber die Pension der Politiker finanziert" Quelle 🔗🌳 Allerlei Gesundbrunnen 🤝 https://t.me/Gesundbrunnen

👍5🤮2💊1🤝1

26 Aug 2026, 09:58 UTC≈7,800 viewsread 2 September 2026
Video

🚨‼️ HEUTE UM 23:59 UHR ENDEN DIE ANTI-AGING DAYS – MIT BIS ZU 30 % RABATT! ━━━━━━━━━━━━━━ 🌿 CLEANE BIO-NATURKOSMETIK UND TROTZDEM ANTI-AGING-EFFEKT – GEHT DAS ❓ Ja! Denn wirkungsvolle Anti-Aging-Pflege braucht keine synthetischen Wirkstoffe.❌ Ausgewählte Pflanzenaktivstoffe, intensive Feuchtigkeit und hochwertige Bio-Öle können die Haut gezielt dabei unterstützen, gepflegt, prall und vital auszusehen. ✅ Denn Dein…

26 Aug 2026, 09:58 UTC≈7,330 views2 reactionsread 2 September 2026
Photo

🚨‼️ HEUTE 23:59 UHR IST SCHLUSS! ANTI-AGING DAYS – LETZTE CHANCE ━━━━━━━━━━━━━━ Noch überlegt? Dann ist HEUTE der letzte Tag. ⏰ Nicht gegen dein Alter – sondern FÜR deine Haut. ✅ Denn mit den Jahren verändern sich ihre Bedürfnisse: Feuchtigkeit, Elastizität und Spannkraft können nachlassen, Linien werden sichtbarer und gerade die empfindliche Augenpartie braucht zunehmend gezielte Pflege. Genau hier setzt der Wel…

❤2

24 Aug 2026, 15:27 UTC≈1,300 views0 reactionsread 2 September 2026
Forwarded from @Frequency_HubPhoto

🔊🔊 Die 9 Solfeggio Frequenzen: Der komplette Überblick mit Audios ❤️ Die Solfeggio-Frequenzen sind spezielle Klangschwingungen, die seit Jahrhunderten in der Klangheilung und Meditation verwendet werden. Jede Frequenz trägt eine eigene energetische Qualität und wirkt auf Körper, Emotionen, Geist und spirituelle Ebenen. ❤️‍🩹 Viele Menschen nutzen sie gezielt zur Entspannung, Heilung, Klarheit, Transformation und s…

24 Aug 2026, 10:15 UTC≈1,020 views5 reactionsread 2 September 2026
Forwarded from @PerlenDesTages

📺 https://youtu.be/43k-gyIVqnA 🌱 𝗪𝗘𝗠 𝗩𝗘𝗥𝗧𝗥𝗔𝗨𝗘𝗡 𝗪𝗜𝗥 𝗘𝗜𝗚𝗘𝗡𝗧𝗟𝗜𝗖𝗛 𝗨𝗡𝗦𝗘𝗥𝗘 𝗞𝗜𝗡𝗗𝗘𝗥 𝗔𝗡? Wenn wir unsere Kinder in eine Schule geben, vertrauen wir sie Lehrern an. Menschen, die unsere Kinder begleiten, prägen und über Jahre hinweg einen wichtigen Einfluss auf ihre Entwicklung haben. Doch 𝗪𝗘𝗥 𝘀𝗶𝗻𝗱 𝗲𝗶𝗴𝗲𝗻𝘁𝗹𝗶𝗰𝗵 𝗱𝗶𝗲 𝗠𝗲𝗻𝘀𝗰𝗵𝗲𝗻, die unsere Kinder begleiten, fördern und prägen? In dieser Folge von „Perlen des Tages“ spreche ich m…

❤4👍1

24 Aug 2026, 05:18 UTC≈1,090 views1 reactionsread 2 September 2026
Photo

📣‼️ ANTI-AGING DAYS – BIS ZU 30 % SPAREN ━━━━━━━━━━━━━━ „Ich bin 46 und ganz ehrlich: Ich möchte nicht aussehen wie 30.“ Denn gutes Anti-Aging bedeutet nicht, jede Falte verschwinden zu lassen oder einem Alter hinterherzulaufen, das längst vergangen ist. Es geht vielmehr darum, die Haut in jeder Lebensphase optimal zu pflegen und sie dabei zu unterstützen, möglichst lange gepflegt, elastisch und vital auszusehen. 💯…

❤1

24 Aug 2026, 05:18 UTC≈1,150 viewsread 2 September 2026
Video

📣‼️ NUR 3 TAGE: ANTI-AGING DAYS 💥 BIS ZU 30 % SPAREN ━━━━━━━━━━━━━━ 💙 ANTI-AGING MUSS NICHT BEDEUTEN, MIT 46 WIEDER WIE 30 AUSZUSEHEN. Viel wichtiger ist, der Haut in jedem Alter genau die Pflege zu geben, die sie jetzt braucht – für ein gepflegtes, frisches Hautbild und einen bewussten Slow-Aging-Ansatz. ✨ 📅 NUR VOM 24.–26.08.2026 💥 Bis zu 30 % auf die komplette Anti-Aging-Kollektion. ➡️ https://t1p.de/TMO-Aktio…

Showing the 12 most recent of 42 posts we hold for @Gesundbrunnen. 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

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 9 registered channels — 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.

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

“💧 GesundBrunnen - Liebe dein Leben” (@Gesundbrunnen), 12,533 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/Gesundbrunnen.

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.