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Channel

Hildegard von Bingen: Spirit - Medialität - Altes Wissen - Licht - Seelen Medizin

@Hildegard_Heilkunde_Spirit

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

182subscribers

-3 since we began measuring on 31 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1001788579824
TypeChannel
Username@Hildegard_Heilkunde_Spirit
CreatedBetween 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded31 August 2026
Last confirmed live17 September 2026
Measurements held4
Confirmed unchanged1 time, most recently 17 September 2026
On Telegramt.me/Hildegard_Heilkunde_Spirit

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 24 September 2026 and assigned it the closest of 31 fixed categories, at 91% 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

182185183.531 August 2026 — 185 subscribers31 August 2026 — 185 subscribers9 September 2026 — 183 subscribers17 September 2026 — 182 subscribers31 August 202617 September 2026
4 measurements spanning 17 days, net -3. 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 182–185 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
17 Sept 2026, 06:21182-1
9 Sept 2026, 06:37183-2
31 Aug 2026, 07:58185no change
31 Aug 2026, 03:33185first reading

Engagement

19 posts held, back to 17 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 1 page of Telegram’s post history, 20 posts per page.

ERR · 30 days
20.1%
avg views ÷ 182 subscribers
Avg views / post
36.7
3 posts measured
Reaction rate
—
this channel exposes no reaction counts
Posts in window
3
of 19 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
WindowRolling 30 days · latest post in window 30 August 2026
Posts held19 (17 July 2026 – 30 August 2026)
Views total110
Reactions total—
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken31 Aug 2026, 03:33 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

43 reactions across 9 posts, in 2 distinct kinds. The most used accounts for 81.4% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤3581.4%
❤‍🔥818.6%

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 9 of the 19 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 43 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 19 most recent posts we hold, published 17 July 2026 to 30 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

30 Aug 2026, 18:38 UTC31 viewsread 31 August 2026

Die universelle Entlastung - körperlich und feinstofflich Liebe Hildegard-Freunde, ich möchte euch gerne ein plastisches Bild bzw. Foto zur Veranschaulichung belasteter Gefäße zeigen. Wir sind mitten im Aderlass-Seminar – und es ist …

27 Aug 2026, 18:15 UTC67 viewsread 31 August 2026

Adressen von Aderlass Experten: https://www.hildegard-seminare.de/hildegard-von-bingen-seminare-links.html

27 Aug 2026, 12:39 UTC84 viewsread 31 August 2026

Es gibt eine Kraft aus der Ewigkeit … Ein Eintauchen in altes Wissen, Heilkunst und Medialität. 🌕 Mond. Blut. Körper. Geist. Was wussten die alten Meister über die Rhythmen des menschlichen Körpers? Was lehrte Hildegard von Bingen über den Aderlass, über Reinigung und die kosmische Ordnung? Warum spielte der Mond in ihrer Betrachtung des menschlichen Körpers eine so besondere Rolle? Und was können wir heute wied…

25 Aug 2026, 08:33 UTC82 views2 reactionsread 31 August 2026
Photo

Spüre, wie die Reinigung nach HvB dich sanft auf einen neuen Abschnitt vorbereitet, mit: - Meditation und Hildegardklänge (Livemusik) - Körper- Seelenreisen, Fastenwissen - Kräuter für die Tiefen Reinigung deiner Zellen - wertvolle Tipps Freitag: 17.00 Uhr – ca. 19.30 Uhr Samstag: 09.00 Uhr- Ende ca. 13.00 Uhr

❤2

19 Aug 2026, 07:45 UTC118 viewsread 31 August 2026

Für alle, die sich für Leylines, Kraftorte und die Mystik begeistern! Ich war vor kurzem auf den Spuren von Werner Pfeil unterwegs – Künstler, Autor und Wanderführer. Viele von euch kannten ihn als Referent der Hildegard Events "Ein Fest der Sinne- Kartause Grünau". Seine tiefe Verbundenheit mit der Natur, den alten Überlieferungen und den verborgenen Geschichten dieser Landschaft spiegelt sich in seinen beiden au…

7 Aug 2026, 07:14 UTC137 views9 reactionsread 31 August 2026

Im Oktober startet die Ausbildung 2026–2027 Energetischer & Medialer Begleiter und Mentor, Heil-Therapeut in der Licht- und Seelenmedizin Diese Ausbildung ist mehr als eine Wissensvermittlung – sie ist ein Weg der Seelenentwicklung, des Bewusstseins und der persönlichen Entfaltung. Sie lädt dich ein, deine innere Weisheit zu entdecken, deine Medialität zu entfalten und eine tiefere Verbindung zu deiner Seele sowie …

❤6❤‍🔥3

2 Aug 2026, 05:07 UTC167 views10 reactionsread 31 August 2026

Gestern Abend saß ich im Garten. Um mich herum trugen viele Kräuter und Blumen die Spuren der sengenden Sonne. Doch eine Pflanze erhob sich würdevoll über alle anderen. Nicht von der Sonne gezeichnet, sondern von ihr genährt. Als würde er ihr Licht trinken und daraus seine Kraft schöpfen. Der Gewürzfenchel Seit Jahrtausenden wird Fenchel als Heilpflanze geschätzt. Hildegard von Bingen schrieb, er schenke Wärme, Fr…

❤10

Showing the 12 most recent of 19 posts we hold for @Hildegard_Heilkunde_Spirit. 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.

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.

“Hildegard von Bingen: Spirit - Medialität - Altes Wissen - Licht - Seelen Medizin” (@Hildegard_Heilkunde_Spirit), 182 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/Hildegard_Heilkunde_Spirit.

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.