Health & wellness — 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 15 August 2026 and assigned it the closest of 31 fixed categories, at 92% 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.
Observations
These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.
Views per post sit far above this size band
17,500 average views per post against 24,916 subscribers — an engagement rate of 70.3%. Across the 37,224 registered channels in the same cohort — 10,003–31,622 subscribers — the middle half sit between 3.13% and 14.7%, with a median of 7.10%.
What this was computed from
Window
30 days (28 August 2026 – 27 September 2026)
Posts measured
18 of 18 published in the window (0 exact, 18 rounded by Telegram)
Views totalled
315,500
Mature posts only
73.4% over 17 posts read at least 24h after publication
When this is recorded. A channel is listed here only when its engagement rate sits at or above the 99th percentile of its cohort and is at least 3× away from that cohort’s median — above it — on both the all-readings figure and the mature-only figure. The percentile alone would be circular: a percentile cut puts the same share of every cohort in the tail whatever the data looks like. The distance from the median is what makes it a statement about this channel.
This is not a verdict, and the direction is not a quality signal. A low rate has many innocent causes — audiences that read in the Telegram app without opening the channel, a subscriber base built long before the current output, an audience in a different timezone from our reading. A high rate has innocent causes too: a post that travelled far beyond the channel’s own subscribers will do it. We publish the measurement and the distribution it sits in. The full cohort baselines are downloadable, so this comparison can be reproduced rather than trusted.
Recorded under the key err_high, last confirmed 27 September 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.
Also posting the same content
This channel’s posts match, word for word or near enough, posts on 2 other registered channels, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.
Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.
33 measurements spanning 43 days, net -142. 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 24,891–25,080 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 33
Measured (UTC)
Subscribers
Change
18 Sept 2026, 11:17
24,916
+3
16 Sept 2026, 02:01
24,913
-8
14 Sept 2026, 07:37
24,921
+7
12 Sept 2026, 15:56
24,914
-10
10 Sept 2026, 15:00
24,924
-26
7 Sept 2026, 14:02
24,950
-11
4 Sept 2026, 19:17
24,961
-16
3 Sept 2026, 01:33
24,977
-4
2 Sept 2026, 00:53
24,981
-16
1 Sept 2026, 00:07
24,997
-7
31 Aug 2026, 02:44
25,004
-14
30 Aug 2026, 05:49
25,018
+4
28 Aug 2026, 10:24
25,014
-4
27 Aug 2026, 13:23
25,018
-3
26 Aug 2026, 13:35
25,021
-2
25 Aug 2026, 14:54
25,023
-5
24 Aug 2026, 13:43
25,028
-16
23 Aug 2026, 00:43
25,044
-6
21 Aug 2026, 15:08
25,050
+2
20 Aug 2026, 14:03
25,048
first reading
Engagement
47 posts held, back to 7 July 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 59 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
70.3%
avg views ÷ 24,916 subscribers
Avg views / post
17,500
18 posts measured
Reaction rate
0.586%
reactions ÷ views · ER floor
Posts in window
18
of 47 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
Window
Rolling 30 days · latest post in window 26 September 2026
Posts held
47 (7 July 2026 – 26 September 2026)
Views total
315,500
Reactions total
1,850
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
26 Sept 2026, 23:13 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
Photos
474
Videos
145
Links
957
Lifetime counters from Telegram’s own channel header, read 26 September 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
Video runtime
19m 29s
Average length
1m 37s
Measured directly from 12 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
5,858 reactions across 47 posts, in 16 distinct kinds. The most used accounts for 28.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
1,638
28.0%
❤
1,145
19.5%
💯
1,091
18.6%
👏
600
10.2%
🔥
583
9.95%
🤩
182
3.11%
🏆
134
2.29%
🙏
130
2.22%
⚡
95
1.62%
👌
83
1.42%
🎉
61
1.04%
❤🔥
44
0.751%
😍
26
0.444%
🍾
24
0.41%
🥰
18
0.307%
💋
4
0.068%
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 47 of the 47 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 5,858 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 47 most recent posts we hold, published 7 July 2026 to 26 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.
🐈 Pottenger-Katzenstudie: Schockierende Folgen von Rohkost vs. gekochter Nahrung
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https://youtu.be/qhor2if5a4E
Was passiert, wenn Nahrung erhitzt wird?
Eigentlich forscht Dr. Francis Pottenger an einem ganz anderen Thema. Doc…
Die Natur kennt keine Kündigungsfrist. 💼
Ein Reh steht vor einem Raubtier und kann nicht fliehen. Es erstarrt.
Nach den 5BN ist das ein motorischer Konflikt:
„Ich komme hier nicht weg.“
Die motorische Hirnrinde – der Bereich, der unsere Bewegungen steuert – nimmt den Muskeln die Kraft. Der Sinn: der Totstellreflex. Was sich nicht bewegt, wird oft übersehen.
Nach Sekunden oder Minuten ist die Sache vorbei. Das Raubt…
🚨 Warum antwortet BioNTech nicht auf diese Fragen?
Jana Witschetzky von Welt der Gesundheit spricht mit Marvin Haberland von NEXT LEVEL darüber, warum der Großteil medizinischer Studien wissenschaftlich praktisch wertlos ist – wegen fehlender harter Endpunkte, ungeeigneter Kontrollgruppen und mangelnder Verblindung.
Brisant: Welche Studiendaten geben Behörden und Pharmaunternehmen auf Anfrage heraus – und welche ni…
Revier – Hamers Hündin Kimba 🐶
Dr. Hamers Boxerhündin Kimba war fast acht Jahre alt, als sie von Rom nach Köln „umgetopft“ wurde – wie Hamer es nannte.
Neue Stadt, neues Zuhause. Und dort: ein viel jüngerer Rüde namens Basso.
„Wo gehöre ich hin?“
Nach den 5BN ist das ein Identitätskonflikt – und wer seinen Platz verliert, bei dem kann der Enddarm reagieren. Die Schleimhaut dort baut ab, der Enddarm wird weiter. S…
Du siehst fünf Finger. ✋
Wir sehen die 5 Biologischen Naturgesetze.
Ein Wissensgebiet, das seit Jahrzehnten polarisiert,
das du auf vielen gängigen Plattformen nicht findest
und das über Bücher, Archive, Vorträge und unzählige Quellen verstreut ist.
NEXIQA macht es zugänglich.
➡️ Die 5BN von Dr. Ryke Geerd Hamer – original und unverändert.
➡️ Von Ärztekammern, Pharmaindustrie und Universitäten jahrzehntelang unte…
„Allesfresser“ – der bequemste Irrtum der Ernährungslehre?
Wir fragen meist: Was kann der Mensch alles essen?
Die spannendere Frage ist:
Worauf ist der menschliche Körper biologisch spezialisiert?
Diese Doku nimmt die Biologie des Menschen zum Ausgangspunkt und stellt eine unbequeme These:
Der Mensch lässt sich präziser als fakultativer Karnivor beschreiben als als „Allesfresser“.
Was folgt daraus für Ernährung,…
Du warst nie allein mit deinen Fragen.
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Jetzt gibt es ihn. 🔥
Die NEXIQA-Community ist da.
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❗️ Deshalb war für uns klar:
NEXIQA braucht einen eigenen, unabhängigen Ort.
Die Community ist deshalb nicht einfach eine weitere Gruppe, so…
💡 Gedanken-Impuls
Was bleibt von deinem Selbstwert übrig, wenn der Erfolg ausbleibt?
🕊️Wenn du nichts vorzuweisen hast.
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🔥 Genau hier zeigt sich, worauf dein Selbstwert wirklich gebaut ist.
Denn Erfolge können dir Selbstvertrauen geben. Anerkennung kann guttun. Und natürlich darfst du stolz auf das sein, was du erreic…
🍺 Die Tagesschau hat einen Gesundheitstipp fürs Oktoberfest: IMPFEN!
Ihr sitzt im Bierzelt: Lärm, wenig Schlaf, viel Alkohol, belastendes Essen. Ein paar Tage später kratzt der Hals, die Nase läuft, es wird gehustet.
Ganz München kennt das als „Wiesn-Grippe“.
Die Tagesschau behauptet: Dahinter stecken „Viren“, die von Mensch zu Mensch übertragen werden. Dagegen sollen Impfungen gegen Grippe, Corona und RSV helfen –…
📊 43,8 Prozent in Sachsen-Anhalt. Und nun?
Alle reden über die AfD und politische Wahlen – selbst die sogenannte „Aufklärer-Szene“.
Doch kaum jemand erkennt eines der grundlegendsten Probleme hinter dieser Illusion:
Keine Partei geht an das Fundament gesundheitlicher Manipulation.
Auch die AfD nicht.
Masken kritisieren? Ja.
Lockdowns kritisieren? Ja.
„Aufarbeitung“ fordern? Ja.
Aber immer nur an der Oberfläche –…
🚀 Ihr habt gefragt – wir machen’s nochmal.
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👍37🙏11👌8❤7🤩5👏3😍1
Showing the 12 most recent of 47 posts we hold for @NextLevelOriginal. 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.
Posts edited after publishing
@NextLevelOriginal edited 3 posts after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
First edit seen
24 August 2026
Most recent edit
26 August 2026
Forward network
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
Republished by 71 registered channels. The 48 listed are the ones that have forwarded the most posts; the rest are counted here but not each listed.
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 35 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. The 24 listed below are the most frequent namers; the rest are counted above but not each listed.
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 — 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.
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.
Corona_Fakten @Corona_Fakten · 48,419 Telegram ranks this channel #7 of 74 here — alongside 73 others — read 26 August 2026
🔎 Graphene Agenda 💉 @GrapheneAgenda · 70,606 Telegram ranks this channel #10 of 82 here — alongside 81 others — read 20 August 2026
Germanische Heilkunde @JensNobis · 45,725 Telegram ranks this channel #24 of 75 here — alongside 74 others — read 27 August 2026
Kai Brenner - Per Du mit dem Leben😃 @kaibrenner · 42,502 Telegram ranks this channel #62 of 72 here — alongside 71 others — read 29 August 2026
This channel appears in 4 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 18 September 2026 — this
entry's latest reading, not the date you are reading this.
“NEXT LEVEL – Wissen neu gedacht” (@NextLevelOriginal), 24,916 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/NextLevelOriginal.
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.
