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Channel
@soeren_schumann
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Citations · Handles named that no longer answer · Telegram's recommendations · Cite this entry
59,846subscribers
-189 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
| Telegram ID | -1001194882774 |
|---|---|
| Type | Channel |
| Username | @soeren_schumann |
| Description | https://soeren-schumann.com/ |
| Created | 14 December 2020 — measured — cross-checked against a third-party dataset (ext.tg_channel) |
| First recorded | 6 August 2026 |
| Last confirmed live | 29 September 2026 |
| Measurements held | 32 |
| Confirmed unchanged | 1 time, most recently 29 September 2026 |
| On Telegram | t.me/soeren_schumann |
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 20 August 2026 and assigned it the closest of 31 fixed categories, at 99% 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 29 Sept 2026, 06:15 | 59,846 | -54 |
| 17 Sept 2026, 21:01 | 59,900 | -19 |
| 15 Sept 2026, 15:37 | 59,919 | -18 |
| 14 Sept 2026, 02:16 | 59,937 | -15 |
| 12 Sept 2026, 08:02 | 59,952 | -9 |
| 10 Sept 2026, 05:57 | 59,961 | -20 |
| 7 Sept 2026, 01:17 | 59,981 | +10 |
| 2 Sept 2026, 21:24 | 59,971 | -11 |
| 1 Sept 2026, 16:12 | 59,982 | +7 |
| 31 Aug 2026, 17:04 | 59,975 | -3 |
| 30 Aug 2026, 17:13 | 59,978 | -7 |
| 29 Aug 2026, 18:53 | 59,985 | -9 |
| 27 Aug 2026, 22:25 | 59,994 | -2 |
| 27 Aug 2026, 01:35 | 59,996 | +1 |
| 26 Aug 2026, 02:47 | 59,995 | -16 |
| 25 Aug 2026, 01:56 | 60,011 | -16 |
| 23 Aug 2026, 12:44 | 60,027 | +5 |
| 21 Aug 2026, 23:38 | 60,022 | +4 |
| 20 Aug 2026, 19:24 | 60,018 | -4 |
| 19 Aug 2026, 16:03 | 60,022 | first reading |
220 posts held, back to 2 August 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 110 pages of Telegram’s post history, 20 posts per page.
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.
| Window | Rolling 30 days · latest post in window 29 September 2026 |
|---|---|
| Posts held | 220 (2 August 2026 – 29 September 2026) |
| Views total | 540,389 |
| Reactions total | 2,848 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 29 Sept 2026, 16:19 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.
Lifetime counters from Telegram’s own channel header, read 29 September 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
Measured directly from 102 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.
5,722 reactions across 217 posts, in 40 distinct kinds. The most used accounts for 41.2% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 2,358 | 41.2% | |
| 👍 | 1,350 | 23.6% | |
| 🔥 | 513 | 8.97% | |
| 💯 | 382 | 6.68% | |
| 👏 | 173 | 3.02% | |
| 😢 | 169 | 2.95% | |
| 🙈 | 117 | 2.04% | |
| 🤮 | 85 | 1.49% | |
| 😈 | 83 | 1.45% | |
| 😭 | 74 | 1.29% | |
| 👎 | 69 | 1.21% | |
| 🙏 | 65 | 1.14% | |
| 😱 | 53 | 0.926% | |
| 👌 | 35 | 0.612% | |
| 🤯 | 28 | 0.489% | |
| 🤬 | 26 | 0.454% | |
| 🤔 | 22 | 0.384% | |
| 🥰 | 16 | 0.28% | |
| 🖕 | 13 | 0.227% | |
| 🤡 | 13 | 0.227% | |
| 20 further kinds | 78 | 1.36% |
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 220 of the 220 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 5,854 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 220 most recent posts we hold, published 2 August 2026 to 29 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.
Spike-Kongress 2.0 Start: 15.10. Kostenfreie Anmeldung: https://spike-kongress.de/
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Pilze im Darm? 😳🍄 🎙Zum Interview mit Viola Schalski 🛡 Hier kannst du dir ein natürliches Spike-Detox-Komplex für den Darm sichern. (mit dem Code soeren10 sparst du 10%) 🦠 Spike-Detox-Protokoll (2026 Update & gratis Download) ✨ Es ist Zeit für ein neues Bewusstsein. Komm mit auf die Reise zu mehr Wahrheit und Gesundheit. ➡️ https://t.me/soeren_schumann (klick hier)
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Arzt packt nach 50 Jahren aus 🙏 🫂 Hilfe für Betroffene und wichtig zur Prävention: Spike-Detox-Protokoll (2026 Update & gratis Download) 🌍 Für umfassende Informationen zu Gesundheit und Weltgeschehen, besuche meinen Telegram-Kanal: ➡️ https://t.me/soeren_schumann 👈 (Klick hier für direkten Zugang)
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Der dunkle Plan läuft schon: Nano-Bots sind aktiv! 🕷🦠 🎙 Im Interview mit Stefan Magnet sprechen wir u.a. über: ➡️ KI: Nutzen ja – aber nicht zur Entwertung des Menschen ➡️ Nanobots, Mikrochips & zukünftige Steuerbarkeit ➡️ Gehirn an die Cloud koppeln (Kurzweil & Neuralink) 🫂 Hilfe für Betroffene und wichtig zur Prävention: Spike-Detox-Protokoll (2026 Update & gratis Download) Die Welt ist im Wandel – bleib inform…
😈15❤9😢5👌4🤡1
Was passiert energetisch gerade in Deutschland? 😳⚡️ 🎙 zum Interview mit Birgit Fischer 📌 Meine Checkliste "So wirst du vergiftet" mit den häufigsten Giftquellen als kostenfreies E-Book ✨ Es ist Zeit für ein neues Bewusstsein. Komm mit auf die Reise zu mehr Wahrheit und Gesundheit. ➡️ https://t.me/soeren_schumann (klick hier)
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Spike-Kongress 2.0 coming soon: https://spike-kongress.de/
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Profisportlerin wird mit "normalen" Blutwerten heim geschickt - und bricht zusammen 🤯 🎙 zum ganzen Interview mit Elisabeth Brandau 📗 Gratis E-Book "Entgiftung - das sagt dir kein Arzt" 🙏Abonniere diesen Telegram-Kanal für wirklich relevante Gesundheitstipps und geheime Informationen zur aktuellen Zeit des Wandels ➡️ https://t.me/soeren_schumann 👈 (klick hier)
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Zur Produkteinführung vom 27.09. bis 29.09. ist die Brain-Praline von 19,90 € auf 14,90 € reduziert. Mit dem 5% Code praline5 sparst du zusätzlich – insgesamt also knapp 30 %. Jetzt 30% günstiger sichern. Der 5-%-Code gilt auf das komplette Sortiment. PS: Es gibt erstmal nur 1.111 Packungen. Sie werden schnell vergriffen sein. ➡️ 30% Einführungsrabatt sichern. 💝
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Die unabhänige Laboranalyse zu unseren Pralinen ergab: – Nur 0,10 mg/kg Cadmium – bei dunkler Schokolade mit mindestens 50 % Kakao sind in der EU bis zu 0,80 mg/kg zulässig. – Blei lag bei unseren Pralinen sogar unter der Bestimmungsgrenze des Labors von 0,05 mg/kg Genau deshalb prüfen wir lieber konkret nach, statt uns allein auf Herkunft oder Bio-Siegel zu verlassen. Saubere Rohstoffe waren für uns aber nur der …
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🍫 Warum Schokolade häufig giftig ist 🚨 35 % der untersuchten Kakao- und Schokoladenprodukte lagen über dem in einer aktuellen Studie verwendeten Grenzwert für Cadmium – bei Blei waren es sogar 43 %. Untersucht wurden insgesamt 72 Produkte. Besonders überraschend: Produkte mit Bio-Kennzeichnung wiesen in der Untersuchung teilweise sogar höhere Cadmiumwerte auf (Studie auf PubMed). Genau deshalb war für uns bei der …
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00:00 Einstieg: mRNA, 15-Minuten-Städte & Social Credit 06:14 KI: Nutzen ja – aber nicht zur Entwertung des Menschen 12:53 Corona-Spritze als Einstieg in den Transhumanismus 20:19 Nanobots, Mikrochips & zukünftige Steuerbarkeit 22:49 Agenda 2030 & 15-Minuten-Städte (bereits in Umsetzung) 29:34 Indizierungsversuch gegen sein Buch (Jugendgefährdung) 37:40 Belege: KI-Massenarbeitslosigkeit & „nutzlose Klasse“ (Harari) 4…
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Geheime Agenda 2030: „Wir sind auf der Ziel-Geraden!“ | Interview mit Stefan Magnet 🧨 In voller Länge und unzensiert nur hier auf meinem Telegram-Kanal. 📜 Neu (2026 Update): Spike-Detox-Protokoll (gratis Download) 📘 Neu: Deep Detox Guide (kostenfrei) 💻 Mehr über Stefan Magnet: ➡️ Sendung ➡️ Buch 🙏 Bitte teilt das Video hier, damit wir möglichst viele Menschen erreichen. 💡 Für direkte und ganzheitliche Informatio…
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Showing the 12 most recent of 220 posts we hold for @soeren_schumann. 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.
@soeren_schumann edited 1 post 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.
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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.
Named by 22 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.
Named by
Channels on the register whose posts name this channel's handle.
Names
Channels on the register whose handles appear in this channel's posts.
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.
@soeren_schumann named 2 handles that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
References a handle that is not a live channel — we have no record it ever was one.
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Read from Telegram’s recommendation API, most recently 22 August 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
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.
This channel appears in 12 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 29 September 2026 — this entry's latest reading, not the date you are reading this.
“Sören Schumann - Gesundheit Ganzheitlich” (@soeren_schumann), 59,846 subscribers as measured 29 September 2026. Telegram Register, tgregister.com/channel/soeren_schumann.
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.