☀️Geistesblitze☀️
☀️GoodVibes☀️
☀️GoodNews☀️
☀️Movies☀️
☀️B.M.Tang
Autor, Musiker, Lebenskünstler☀️
☀️ Ich danke jedem von Herzen, der meine »geistesblitzige« Welt ein wenig unterstützen mag ☀️
https://ko-fi.com/tangsworld
Created
28 January 2020 — measured — cross-checked against a third-party dataset (ext.tg_channel)
Personal blog — 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 10 August 2026 and assigned it the closest of 31 fixed categories, at 83% 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 the other topics.
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 in near-verbatim form on 1 other registered channel. This entry also sits inside a group of 156 channels linked by matching posts, directly or through other channels in the group; two members of the group may share no posts with each other. 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 (1 of the pairs behind the counts below)
Channels this entry shares post bodies with, where at least one matching post pair has no forward credit between the two channels, or to a common source, recorded in our data
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 80 comparable posts for this entry, running 19 July 2026 to 10 November 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).
Of the group of 156 channels, the one whose matching posts we hold earliest is @ProfSucharitBhakdi. That channel is not among the channels listed above, so this entry may share no posts with it and this does not say where this entry’s content came from. It is a statement about our reading window, not a claim of authorship.
Views per post sit far above this size band
11,900 average views per post against 11,187 subscribers — an engagement rate of 106.5%. Across the 323 registered channels in the same cohort — 10,020–31,451 subscribers, posting mainly in German — the middle half sit between 8.93% and 28.2%, with a median of 16.2%.
What this was computed from
Window
30 days (6 October 2026 – 5 November 2026)
Posts measured
23 of 23 published in the window (1 exact, 22 rounded by Telegram)
Views totalled
274,109
Mature posts only
111.1% over 22 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 keys clone_source · err_high, last confirmed 11 November 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.
Channels linked by matching posts
This channel is in a group of 156 registered channels linked by matching posts, directly or through other channels in the group. This channel may share no posts with some of the channels listed below, and listed channels may share none with each other. Links are found by comparing text fingerprints across every channel on the register.
Which channel, if either, published first is deliberately not shown in this list. “First” could only mean first in our own crawl, which depends on how deep we happened to reach into each channel’s history, not on when the content was actually first posted. Our one hand-check read 45 of the highest-confidence flagged pairs against the live Telegram pages. In 18 of them the live page showed a “Forwarded from” credit that our database had no record of, so reading that pair as an unattributed copy was wrong; the check did not measure who published first. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Near-verbatim 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.
105 more channels are in this same group but not listed individually here.
Growth
64 measurements spanning 96 days. 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 11,152–11,205 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 64
Measured (UTC)
Subscribers
Change
9 Nov 2026, 22:21
11,183
-7
8 Nov 2026, 15:47
11,190
+6
7 Nov 2026, 12:57
11,184
+1
6 Nov 2026, 14:19
11,183
+4
5 Nov 2026, 16:11
11,179
-8
4 Nov 2026, 17:46
11,187
-1
3 Nov 2026, 15:25
11,188
-2
2 Nov 2026, 17:49
11,190
-3
1 Nov 2026, 21:17
11,193
+3
31 Oct 2026, 20:08
11,190
+2
30 Oct 2026, 22:56
11,188
+3
30 Oct 2026, 01:30
11,185
-5
29 Oct 2026, 04:37
11,190
+3
28 Oct 2026, 00:27
11,187
+6
27 Oct 2026, 01:48
11,181
-7
26 Oct 2026, 03:40
11,188
-9
25 Oct 2026, 00:36
11,197
+2
24 Oct 2026, 03:55
11,195
-1
23 Oct 2026, 05:19
11,196
+6
22 Oct 2026, 04:09
11,190
first reading
Engagement
80 posts held, back to 19 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 58 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
111.9%
avg views ÷ 11,183 subscribers
Avg views / post
12,500
29 posts measured
Reaction rate
0.877%
reactions ÷ views · ER floor
Posts in window
29
of 80 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 10 November 2026
Posts held
80 (19 July 2026 – 10 November 2026)
Views total
362,750
Reactions total
3,183
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
10 Nov 2026, 21:02 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
≈2,420
Videos
≈21
Links
≈2,280
Lifetime counters from Telegram’s own channel header, read 10 November 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.
Reaction mix
9,390 reactions across 79 posts, in 13 distinct kinds. The most used accounts for 50.8% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
4,773
50.8%
👍
1,838
19.6%
🤣
773
8.23%
🙏
678
7.22%
👏
548
5.84%
😁
405
4.31%
🥰
146
1.55%
🎉
79
0.841%
👌
73
0.777%
🤩
60
0.639%
🤗
8
0.085%
🤪
5
0.053%
🤡
4
0.043%
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 80 of the 80 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 9,580 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 80 most recent posts we hold, published 19 July 2026 to 10 November 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
Telegram’s own ‘edited’ marker: 7 of 29 posts held from the last 30 days (24.1%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
☀️ Egal wer vor dir steht - Geistesblitze ☀️
☀️ Oftmals fühlen wir uns allein auf weiter Flur und unsere Zuversicht und unser Mut beginnt zu wanken. Aber unser »Stamm«, unsere Ahnen und auch andere geistigen Helfer stehen hinter uns und an unserer Seite. Vertrauen wir auf unsere Stärke und ihre Unterstützung. »Mut war mal Angst, die davon genug hatte.« ☀️
Wenn dir meine Geistesblitze gefallen:
☀️ Auf Telegram abonn…
🐸🐰 Froschkönig und Hase - Sei freundlich - Geistesblitze Print | Illustrationen: Jennie Bödeker 🐰🐸
🐸🐰 Der kleine freundliche Hase lässt sich von dem mieselpetrigen Froschkönig nicht beeindrucken und schenkt ihm einen Herzchen-Luftballon 🐰🐸
Die beiden gibt es gleich in 2 Versionen, wie du sehen kannst. Jeweils als Print auf verschiedenen Sachen wie Shirts, Tassen, Grußkarten & mehr zum Verschenken an dich selbst od…
☀️ Die Magie der Neuroplastizität - Geistesblitze ☀️
☀️ Unter Neuroplastizität versteht man die Fähigkeit des Gehirns, sich durch Erfahrungen, Lernen, neue Anforderungen oder nach Verletzungen strukturell und funktionell anzupassen.
Verbindungen zwischen Nervenzellen - Synapsen - werden je nach Nutzung gestärkt oder geschwächt. Das Gehirn ist kein starres, fest verdrahtetes Organ, sondern formbar wie Knete ☀️
Wenn…
🌳 Ganz allein im Wald - Geistesblitze | Erich Kästner 🌳
Ich bin der Wald
Ich bin uralt
Ich hege den Hirsch
Ich hege das Reh
Ich schütz Euch vor Sturm
Ich schütz Euch vor Schnee
Ich wehre dem Frost
Ich wahre die Quelle
Ich hüte die Scholle
Bin immer zur Stelle
Ich bau Euch das Haus
Ich heiz Euch den Herd
Drum ihr Menschen
Haltet mich wert!
🌳 Inschrift an einem niedersächsischen Forsthaus aus dem 17. Jahrhundert 🌳
W…
☀️ Kindliche Zeit - Geistesblitze | Erhart Kästner ☀️
☀️ Zeit ist für alle Menschen und besonders für Kinder eine reine Kopfgeburt. Lachen, Freuen, Lieben, Spielen - sie alle löschen die Zeit und katapultieren uns an den einzigen Ort, an dem unser echtes Leben je stattfindet: das Jetzt.
Erhart Kästner (1904-1974) war übrigens ein deutscher Schriftsteller der Nachkriegszeit und Bibliothekar. Nicht zu verwechseln mit…
☀️ Japanische Weisheit - Geistesblitze ☀️
☀️ Wenn viele Menschen diese vier Empfehlungen befolgen würden, sähe die Welt und unser Zusammenleben mit Sicherheit ganz anders aus.
Das Zauberwort heißt »Achtsamkeit«. Wir dürfen aufmerksam sowohl auf unsere Umgebung als auch auf uns selbst schauen. Wenn wir in vielen Situationen zuerst Ruhe bewahren und dann bedacht handeln und sprechen, können Missverständnisse und Konf…
☀️ Gedanken sind wie Kleider - Geistesblitze ☀️
☀️ Gedanken schaffen Realität. Dieses uralte Geheimnis ist inzwischen vielen bekannt und dennoch lassen wir uns an allen Ecken sagen, was wir denken sollen. Es ist an der Zeit, uns dieser »Zauberkraft« wieder bewusst zu bedienen. Der Schlüssel liegt im Herzen und die Macht erwacht, wenn Herz und Verstand zusammenwirken ☀️
Wenn dir meine Geistesblitze gefallen:
☀️ Auf …
☀️ Den Moment genießen - Geistesblitze ☀️
☀️ Den Moment mit allen Sinnen genießen - das können wir natürlich alle - generationsunabhängig. Es braucht dazu jedoch mehr denn je Bewusstheit und Aufmerksamkeit … und manchmal auch den Verzicht auf moderne »Errungenschaften«, die uns dabei möglicherweise mehr ablenken als uns förderlich sind ☀️
Wenn dir meine Geistesblitze gefallen:
☀️ Auf Telegram abonnieren ☀️
☕️ Ich l…
😉 Polnische Wärmepumpe - Geistes(bl)witze 😉
😉 Es wird wieder kälter. Prima Idee für die kalte Jahreszeit, oder? 😉
Wenn dir meine Geistes(bl)witze gefallen:
😉 Auf Telegram abonnieren 😉
☕️ Ich liebe Kakao ☕️
☀️ Der Mensch - Geistesblitze ☀️
☀️ Diese Worte sind eine Zustandsbeschreibung und keine zwingende Zukunftsprognose. Sie dürfen uns wach machen und ermutigen, unser tägliches Verhalten und unsere Gewohnheiten achtsamer anzuschauen und bewusster zu leben ☀️
Wenn dir meine Geistesblitze gefallen:
☀️ Auf Telegram abonnieren ☀️
☕️ Ich liebe Kakao
☀️ Wer die Gegenwart genießt - Geistesblitze ☀️
☀️ »Die Vergangenheit ist Geschichte, die Zukunft ist ein Geheimnis, aber jeder Augenblick ist ein Geschenk«. - Wir alle sind gerade erst dabei zu entdecken, wie unsere Präsenz über unser Bewusstseinsfeld die potenzielle Zukunft verändert ☀️
Wenn dir meine Geistesblitze gefallen:
☀️ Auf Telegram abonnieren ☀️
☕️ Ich liebe Kakao
❤65🙏29👍14🎉3🤣1🥰1
Showing the 12 most recent of 80 posts we hold for @Tangsworld. 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
@Tangsworld 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
23 August 2026
Most recent edit
1 September 2026
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.
Mentions
Named by 36 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 23 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.
Gute Nachrichten & Vibes @GuteNachrichtenNews · 42,975 Telegram ranks this channel #46 of 74 here — alongside 73 others — read 28 August 2026
younity.com @younity_mee · 60,675 Telegram ranks this channel #47 of 77 here — alongside 76 others — read 22 August 2026
Lohrey Training🌞🌞🌞 @lohreytraining · 24,027 Telegram ranks this channel #53 of 73 here — alongside 72 others — read 17 September 2026
Raik Garve @Gesundheitslehrer · 40,913 Telegram ranks this channel #61 of 73 here — alongside 72 others — read 30 August 2026
Gaia deutsch @Gaiadeutsch · 38,178 Telegram ranks this channel #62 of 71 here — alongside 70 others — read 31 August 2026
Bewusst-Vegan-Froh 🍎 @bewusst_vegan_froh · 31,282 Telegram ranks this channel #64 of 65 here — alongside 64 others — read 6 September 2026
Die WAHRsager – Wissen bewegt! @derwahrsagerwissenbewegt · 54,638 Telegram ranks this channel #64 of 70 here — alongside 69 others — read 23 August 2026
This channel appears in 7 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 9 November 2026 — this
entry's latest reading, not the date you are reading this.
“Tangsworld” (@Tangsworld), 11,183 subscribers as measured 9 November 2026. Telegram Register, tgregister.com/channel/Tangsworld.
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.