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Channel

🧡 Tao der Liebe 🧡

@TaoDerLiebe

On this record: Topic · Observations · Also posting the same content · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

3,157subscribers

-6 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1001468588587
TypeChannel
Username@TaoDerLiebe
Created5 December 2019measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live12 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 12 August 2026
On Telegramt.me/TaoDerLiebe

Topic

Literature — 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 11 August 2026 and assigned it the closest of 31 fixed categories, at 98% 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.

Content that also appears on other registered channels

Posts published here appear word for word on 2 other registered channels. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.

Matching posts — open both and compare (4 of the pairs behind the counts below)
Posted firstThenOverlapGap
@TaoDerLiebe/4724 · this entry24 Dec 2025, 13:44 UTC@BB_Maya_Horoskope/371324 Dec 2025, 13:44 UTC1.00under a minute
@TaoDerLiebe/4725 · this entry31 Dec 2025, 00:44 UTC@BB_Maya_Horoskope/371431 Dec 2025, 00:44 UTC1.00under a minute
@TaoDerLiebe/4724 · this entry24 Dec 2025, 13:44 UTC@TAO_TheorieAllerOrdnung/1005224 Dec 2025, 13:44 UTC1.00under a minute
@TaoDerLiebe/4725 · this entry31 Dec 2025, 00:44 UTC@TAO_TheorieAllerOrdnung/1005331 Dec 2025, 00:44 UTC1.00under a minute
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@BB_Maya_Horoskope15 (8/8 hand-verifiable sample passed)1.00under a minutethis entry (87)
@TAO_TheorieAllerOrdnung11 (8/8 hand-verifiable sample passed)1.0013 minutes@TAO_TheorieAllerOrdnung (92)

Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.

What this cannot establish

MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.

Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. None of the 4 matches recorded here fall after that date, so for this entry we cannot say whether any of them carried a credit. The duplication is measured; the absence of attribution is not.

“Published first” means first in this corpus. We hold 19 comparable posts for this entry, running 30 November 2025 to 10 May 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.

The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.

  • Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
  • 'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
  • shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
  • Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).

Across the whole group of 3, the earliest publisher we hold is @TaoDerLiebe — which is this entry. That is a statement about our reading window, not a claim of authorship.

Recorded under the keys clone_copy · clone_mutual, last confirmed 6 August 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.

Growth

3,1573,1633,1606 August 2026 — 3,163 subscribers6 August 2026 — 3,163 subscribers6 August 2026 — 3,162 subscribers12 August 2026 — 3,157 subscribers6 August 202612 August 2026
4 measurements spanning 6 days, net -6. 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 3,156–3,164 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
12 Aug 2026, 08:433,157-5
6 Aug 2026, 19:103,162-1
6 Aug 2026, 11:013,163no change
6 Aug 2026, 09:493,163first reading

Engagement

19 posts held, back to 30 November 2025the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 3 pagesof Telegram’s post history, 20 posts per page.

Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 19 posts for this entry, the most recent from 10 May 2026. An engagement rate over an empty window would be a number about nothing.

What this channel posts

Video runtime
1h 30m
Average length
8m 15s

Measured directly from 11 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

139 reactions across 19 posts, in 9 distinct kinds. The most used accounts for 68.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
9568.3%
❤‍🔥2820.1%
🙏53.60%
👍42.88%
🔥21.44%
😁21.44%
👏10.719%
🕊10.719%
🙉10.719%

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 19 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 139reactions 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 30 November 2025 to 10 May 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

10 May 2026, 09:27 UTC≈1,000 views17 reactionsread 7 August 2026
Photo

🤎🤎⚜️🤎🤎 An alle Mütter An diejenigen, die ihre Mütter verloren haben, an diejenigen, die sich verzweifelt danach sehnen, Mutter zu sein, an diejenigen, die selbstlos wie eine Mutter lieben; an alle, die jegliche Wesen mütterlich umsorgen, an Adoptiv-, Leihmütter, Pflegende und Kreative, an diejenigen, die vielleicht kein Leben geboren haben, aber ein eigenes Leben erschaffen haben, wir ehren euch. 🤎🤎⚜️🤎🤎 🅰️🅰️🅰️🅰️

14❤‍🔥3

Signed Phönix 🦅 TAO_TheorieAllerOrdnung 🌐 Arnulf 🤍

1 May 2026, 12:40 UTC730 views5 reactionsread 7 August 2026
Forwarded from @TAO_TheorieAllerOrdnungPhoto

1. Mai 2026 – 🅰️🅰️🅰️🅰️🅰️ Sehr schön ausgedrückte Metapher – TAO erklärt und beschreibt diese Schlüssel-Erkenntnisse/-Begriffe detailliert im TAO-MODELL und verschafft durch die miteinander verknüpften TAO-MEMS einen tiefen Zugang auf dem eigenen Weg 👉 in die Tiefe des individuellen eigenen Selbst. Auch auf diesem Weg ist es möglich, im eigenen Fluss alle W-Fragen zu stellen und deren Beantwortung eigenständig zu e

5

Signed Phönix 🦅 TAO_TheorieAllerOrdnung 🌐 Arnulf 🤍

8 Apr 2026, 06:19 UTC≈3,240 views7 reactionsread 7 August 2026
Video

Ich bin du, ein Stein, eine Feder, Sternenstaub, eine Blume, die Erde, das Universum, Geburt, Tod, erster Atemzug, die Haut eines Neugeborenen, der gelebte Körper einer alten Frau, Schnee, Sonnenlicht, Liebe, Hass, Freude, Schmerz, Einheit im Herzen der Menschheit, Tränen der Profanität, Segnungen menschlicher Gnade, die ein Kinderlachen erleuchten, Böses und Gutes an einem Ort, Reinheit, Toxizität, Stille, Freihe

6👍1

Signed Phönix 🦅 TAO_TheorieAllerOrdnung 🌐 Arnulf 🤍

5 Apr 2026, 10:01 UTC733 views5 reactionsread 7 August 2026
Forwarded from @TAO_TheorieAllerOrdnungPhoto

🐣 Stille Tage. Klare Haltung. 🕊️ … in LIEBE wünsche ich dir ruhige und lichtvolle Momente. Manchmal braucht es nur einen kleinen inneren Schritt, um alles anders zu sehen. 👉 SG – Scheiße → Gut Nicht, weil sich sofort alles verändert – sondern weil sich unser Blick wandelt. Und genau dort beginnt etwas Neues. 🕊️ SOUVERÄN – ist man. ✨ AIG – Alles Ist Gut. Die letzten Tage haben viel bewegt. Einfach im Kern – und d

5

Signed Phönix 🦅 TAO_TheorieAllerOrdnung 🌐 Arnulf 🤍

3 Apr 2026, 20:32 UTC586 views3 reactionsread 7 August 2026
Forwarded from @TAO_TheorieAllerOrdnungPhoto

Be-SINN-liche, ruhige und lichte Tage 🤍 ... in LIEBE wünscht dir Arnulf 🦅 In den letzten Tagen ging es um ein sehr einfaches, aber kraftvolles MEM: 👉 SG (Scheiße Gut!) Wer es noch nicht gesehen hat, findet im letzten Beitrag die genauere Beschreibung dazu. Manchmal braucht es nicht viele Worte. Manchmal reicht ein kleiner innerer Schritt, um etwas völlig anders zu sehen. Und genau darin liegt oft der Wen

3

Signed Phönix 🦅 TAO_TheorieAllerOrdnung 🌐 Arnulf 🤍

31 Mar 2026, 23:21 UTC635 views4 reactionsread 7 August 2026
Forwarded from @TAO_TheorieAllerOrdnungPhoto

💩TAO-MEM SG – Scheiße → Gut Manchmal wirkt etwas wie ein Problem. Wie etwas, das nicht sein sollte. Doch genau darin liegt oft der Wendepunkt. Was wir als „schlecht“ bewerten, ist häufig nur eine Perspektive – keine Wirklichkeit. Wenn wir beginnen, anders zu sehen, verändert sich nicht nur das Denken, sondern das gesamte Erleben. Aus „Scheiße“ wird „Gut“ – nicht, weil sich die Situation sofort ändert, sondern weil s

4

Signed Phönix 🦅 TAO_TheorieAllerOrdnung 🌐 Arnulf 🤍

4 Feb 2026, 16:30 UTC917 views7 reactionsread 7 August 2026
Forwarded from @TAO_TheorieAllerOrdnungVideo

🫂 JETZT ZUSAMMENSTEHEN! 🫂 (Video 1) Ihr Lieben🤍 da draußen, JETZT ZUSAMMENSTEHEN ist die klare Botschaft! 🙏 1871 wurde das Deutsche Reich gegründet – mit der Absicht, die zersplitterten deutschen Stämme, Kulturen und Traditionen in eine gemeinsame Ordnung zu bringen. Es war ein Akt der Identitätsfindung in einer Zeit, in der Europa von Großmächten dominiert wurde. Heute stehen wir wieder vor einer bedrohlichen Situ

7

Signed Phönix 🦅 TAO_TheorieAllerOrdnung 🌐 Arnulf 🤍

4 Feb 2026, 16:30 UTC784 views2 reactionsread 7 August 2026
Forwarded from @TAO_TheorieAllerOrdnungPhoto

Ihr Lieben❤️, wieder einmal wurde ich eingeladen einen Podcast (siehe Video 1 ⬇️) für ein Gemeinschafts-Video der Bundesstaatentreffen-Gruppe zu machen (siehe 👉 Vom Dunkel ins Licht ☀️☀️☀️). Diese Video hätte eigentlich am 27.1.26 veröffentlicht werden sollen, ist aber nicht fertig geworden, daher poste ich jetzt mein (erweitertes) Video dazu und veröffentliche das Gemeinschafts-Video dann hier, wenn es mir zur Verfü

🙏2

Signed Phönix 🦅 TAO_TheorieAllerOrdnung 🌐 Arnulf 🤍

19 Jan 2026, 01:03 UTC≈1,010 views6 reactionsread 7 August 2026
Forwarded from @TAO_TheorieAllerOrdnungVideo

🥯 Am Anfang war das 🟠🟠🟠🟠🟠🟠🟠 Das Kurzvideo ist selbsterklärend... Hinweis: Die ersten 40 Sekunden sind aus Youtube @AynSof (DER SCHLÜSSEL ZUR QUELLE Der Name 'AYN SOF' stammt aus der Kabbala und bezeichnet DAS UNENDLICHE ∞ DAS EWIGE. Jenseits von Raum, Zeit und einseitigem Denken öffnen diese Clips den Raum für das Unnennbare.) In der TAO wird ALLES benannt, erklärt, ist falsifizierbar und spiegelt als Essenz die T

5❤‍🔥1

Signed Phönix 🦅 Arnulf 🤍 TAO_TheorieAllerOrdnung 🌐

2 Jan 2026, 16:17 UTC≈1,180 views10 reactionsread 7 August 2026
Forwarded from @TAO_TheorieAllerOrdnungVideo

. 🔴🟠🔴🟠🟠🟠🔴🟠🟠🟠🟠🟠 🔴🔴🔴🔴 Intensive Normative Scheinrealität: Zerstört, Entschlüsselt Nur Illusionen – Entlarvt Realitätsbetrug Und Normalisiert Gerechtigkeit Mein Geschenk für 2026. Das Akronym INSZENIERUNG hat sich über Jahre hinweg entwickelt und ist heute ein TAO-MEM. Kein Verschwörungs- oder Fantasie-Narrativ – sondern ein Modell zur Einordnung von Wirklichkeit. ♻️ Was mit Schein-Realität gemeint ist Die Schein-R

7❤‍🔥2👏1

Signed Phönix 🦅 Arnulf 🤍 TAO_TheorieAllerOrdnung 🌐

31 Dec 2025, 00:44 UTC≈1,030 views14 reactionsread 7 August 2026
Photo

🎆Einen friedvollen Jahresübergang und ein gesegnetes neues Jahr 🎆 🔢🔢🔢🔢 💛 🔢🔢🔢🔢 Das Jahr 2025 war für viele ein forderndes Jahr. Ein Jahr der Zuspitzung, der Brüche, der sichtbaren Grenzen alter Systeme und Denkweisen. Der Übergang in 2026 markiert mehr als einen Kalenderwechsel. Er lädt uns ein, das Vergangene (V) nicht weiter zu tragen, sondern bewusst abzuschließen, im gegenwärtigen (G) Augenblick wach zu b

8❤‍🔥3😁2🕊1

Signed Phönix 🦅 Arnulf 🤍 TAO_TheorieAllerOrdnung 🌐

24 Dec 2025, 13:44 UTC≈1,020 views8 reactionsread 7 August 2026
Photo

🕊 Friedvolle Weihnachten und gesegnete Feiertage ✨ Diese Zeit lädt uns ein, das Vergangene (V) in Frieden ruhen zu lassen, dem gegenwärtigen (G) Augenblick wahrhaftig zu begegnen und der Zukunft (Z) nicht aus Angst, sondern aus Klarheit zu begegnen. Im Geist der TAO – Theorie Aller Ordnung verstehe ich Segen nicht als Wunsch, sondern als bewusste Ausrichtung: auf Wahrhaftigkeit, Achtsamkeit und den inneren Frieden

❤‍🔥62

Signed Phönix 🦅 Arnulf 🤍 TAO_TheorieAllerOrdnung 🌐

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

Citation-graph rank

Citation-graph rank — 320,594 of 1,160,990entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.

Forward network

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.

Mentions

Named by 5 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 12 August 2026 — this entry's latest reading, not the date you are reading this.

“🧡 Tao der Liebe 🧡” (@TaoDerLiebe), 3,157 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/TaoDerLiebe.

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.