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 11 August 2026 and assigned it the closest of 31 fixed categories, at 90% 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 1 other registered channel. 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 (6 of the pairs behind the counts below)
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 0 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 20 comparable posts for this entry, running 17 October 2025 to 28 July 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 2, the earliest publisher we hold is @AchtsamforFuture — which is this entry. That is a statement about our reading window, not a claim of authorship.
Recorded under the key clone_mutual, last confirmed 8 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 1 other registered channel, 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.
2 measurements taken within a single day. 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 661–663 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
8 Aug 2026, 02:35
662
no change
7 Aug 2026, 20:05
662
first reading
Engagement
20 posts held, back to 17 October 2025 — 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 pageof Telegram’s post history, 20 posts per page.
ERR · 30 days
94.6%
avg views ÷ 662 subscribers
Avg views / post
627
2 posts measured
Reaction rate
1.12%
reactions ÷ views · ER floor
Posts in window
2
of 20 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 28 July 2026
Posts held
20 (17 October 2025 – 28 July 2026)
Views total
1,253
Reactions total
14
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
8 Aug 2026, 02:35 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
125
Links
158
Lifetime counters from Telegram’s own channel header, read 8 August 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.
Reaction mix
73 reactions across 15 posts, in 3 distinct kinds. The most used accounts for 97.3% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
71
97.3%
👍
1
1.37%
🙏
1
1.37%
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 18 of the 20 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 73reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 20 most recent posts we hold, published 17 October 2025 to 28 July 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.
Solastalgie 2.0
3.8.26 - 19:00 - 20:35
Vor einiger Zeit haben wir uns schon einmal mit dem Gefühl der Solastalgie beschäftigt. Sie beschreibt die Trauer und den Verlust der Zugehörigkeit durch eine Veränderung des persönlichen Umfelds bzw. der eigenen Heimat aufgrund des Klimawandels. Letztes Mal ging es um Zukunftssorgen durch Klima, Krieg, KI, Kapitalismus, Rechtsruck ... ,die das Gefühl der Solastalgie verstärke…
Zukunftssorgen
Mo, 20.7.2026, 19:00 - 20:35
So viele gute Gründe für Sorgen, dass es überwältigen kann:
Neben den ganz persönlichen Herausforderungen gibt es für politisch Engagierte eine breite Palette gut begründeter Zukunftssorgen: Klima, Krieg, KI, Kapitalismus, Rechtsruck, ... und alle liefern täglich beunruhigende Updates. Das Ziel ist nicht Gleichgültigkeit sondern angemessene Antworten finden: Gefühle hinte…
Verbundenheit fördern
Mo, 6.7.2026, 19:00 - 20:35
Sich geliebt und verbunden zu fühlen ist zentral für unser Glück. Die gute Nachricht: Diese Erfahrung bezieht sich nicht nur auf Partnerschaften. Zudem ist Verbundenheit etwas, das wir bewusst pflegen und stärken können. In dieser Sitzung schauen wir uns an, wie Verletzlichkeit, Neugier und Wohlwollen dazu beitragen können, dass Verbundenheit spürbarer wird.
BTW: f…
Das gute Leben
Mo, 15.06.2026, 19:00 - 20:35
Wie gelingt eigentlich ein gutes Leben? Sokrates war es wichtig, das Leben gründlich zu hinterfragen und wusste: „Ich weiß, dass ich nichts weiß“. Mit seinem "sokratischen Dialog" verwickelte er Menschen in einsichtsfördernde Gespräche, weil für ihn der Austausch mit anderen der Zugang zu Verbundenheit und Einsicht war.
BTW: Ruf doch mal in der Psy4F-Sprechstunde an für…
Mentalisieren: Sich selbst und andere besser verstehen
Mo, 01.06.2026, 19:00 - 20:35
Mentalisieren bedeutet, zu verstehen, was in mir und meinem Gegenüber vor sich gehen könnte: eine mentales Vorstellung von eigenen und fremden Gefühlen, Bedürfnissen oder Absichten. Im Engagement, in Beziehungen und in Momenten innerer Anspannung kann diese Fähigkeit leicht verloren gehen und zu Problemen und Missverständnissen füh…
Erfahrungsaustausch über deinen eigenen Weg der Achtsamkeit
Mo, 18.05.2026, 19:00 - 20:35
Diesmal gibt es: keine Meditation, keinen Theorieteil, keinen Mitschnitt, kein Handout, keine Erwartungen – stattdessen ein freundlicher Austausch mit gleichgesinnten Menschen über deinen bisherigen Weg mit Achtsamkeit. Es geht um Fortschritte, Zweifel, Hoffnungen, Herausforderungen und Momente der Tiefe.
=> Link zur Session
…
Was ist Bewusstsein?
Mo, 4.5.26 - 19:00 - 20:35
Eine einfache Frage, die sich einfach beantworten lässt: Bewusstsein meint Wahrnehmung, Gewahrsein, subjektive Erfahrung - also, dass es sich nach etwas anfühlt, da zu sein. Schaut man tiefer, wird es komplex: Wie kann so etwas wie Bewusstsein aus nicht-bewusster Materie entstehen? Was früher „Leib-Seele-Problem“ genannt wurde, wird bis heute vielschichtig diskutiert …
Besser schlafen
Mo, 20.4.26 - 19:00 - 20:35
Schlafstörungen sind sehr häufig – und vieles, was wir intuitiv tun, verschlechtert den Schlaf. Heute geht es um ein tieferes Verständnis von Schlaf, hilfreiche Tipps und Tricks und um die schöne Kunst des "horizontalen Selbstmitgefühls".
(Handouts im Ordner s. u. )
=> Link zur Session
ID: 861 9485 7901 - Code: Mitgefuehl
(kein Telefonzugang, da Sessions E2E-verschlüssel…
Hochsensibilität und Engagement
Mo, 16.3.26 - 19:00 - 20:35
Etwa 10-30 Prozent der Bevölkerung haben eine erhöhte Sensitivität. Für diese Menschen kann Engagement besonders herausfordernd sein. Um nachhaltig engagiert bleiben zu können, ist das Haushalten mit den eigenen Ressourcen besonders wichtig. Heute steht der Austausch der Teilnehmenden untereinander über die eigenen Erfahrungen über Herausforderungen von Ho…
Dissoziation
Mo, 2.3.26 - 19:00 - 20:35
Jede:r kennt das Erleben im Alltag "nicht ganz da" zu sein. Manchmal nimmt man auch alles unwirklich wahr (Derealisation) oder steht wie neben sich (Depersonalisation), um weniger fühlen zu müssen. Manchmal fühlt es sich so an, als ob bei zu starker innerer Anspannung alles wie leiser gedreht wird oder die Sicherung -sicherheitshalber- rausspringt. Dissoziation ist sowohl All…
Geduld
Mo, 16.2.26 - 19:00 - 20:35
Wer sich eine gerechtere Welt ohne Ausbeutung wünscht, braucht einen langen, geduldigen Atem (unter anderem). Selbst das Warten auf ein Ende des Winters braucht Geduld. Geduld ist eine praktische Tugend und eine trainierbare Fähigkeit. Sie hält gesund, reduziert Leid und Burnout-Risiko und fördert langfristige Zielerreichung und Sinn-Erleben. Aber wie geht das nochmal mit dem Gedu…
Sensibilität und Robustheit
Mo, 2.2.26 - 19:00 - 20:35
Manche sehen Fortschritte in der Sensibilisierung für psychologische Themen, Achtsamkeit, Traumata und Self-Care in den letzten Jahren, andere sehen schon Anzeichen für eine Übersensibilisierung mit Nebenwirkungen: Triggerwarnungen führen laut Studien zu unerwünschten Problemen, mehr Psychotherapie-Angebot führe zu mehr Diagnosen, die Beschäftigung mit Diagnose…
Showing the 12 most recent of 20 posts we hold for @AchtsamforFuture. 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 — 406,427 of 1,151,006entries 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
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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.
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 8 August 2026 — this
entry's latest reading, not the date you are reading this.
“Achtsamkeit für Engagierte (Kanal)” (@AchtsamforFuture), 662 subscribers as measured 8 August 2026. Telegram Register, tgregister.com/channel/AchtsamforFuture.
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.