Channel
@wundertuete_tuetewunder
On this record: Topic · Growth · Engagement · Reactions · Posts · Citations · Cite this entry
205subscribers
+1 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1001299992872 |
|---|---|
| Type | Channel |
| Username | @wundertuete_tuetewunder |
| Created | 24 January 2021 — measured — cross-checked against a third-party dataset (ext.tg_channel) |
| First recorded | 7 August 2026 |
| Last confirmed live | 13 September 2026 |
| Measurements held | 5 |
| Confirmed unchanged | 1 time, most recently 13 September 2026 |
| On Telegram | t.me/wundertuete_tuetewunder |
Film & TV — 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 58% 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 |
|---|---|---|
| 13 Sept 2026, 01:17 | 205 | -1 |
| 4 Sept 2026, 09:00 | 206 | -1 |
| 27 Aug 2026, 10:57 | 207 | +3 |
| 7 Aug 2026, 04:32 | 204 | no change |
| 7 Aug 2026, 04:04 | 204 | first reading |
20 posts held, back to 26 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.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 20 posts for this entry, the most recent from 2 August 2026. An engagement rate over an empty window would be a number about nothing.
14 reactions across 10 posts, in 5 distinct kinds. The most used accounts for 42.9% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 6 | 42.9% | |
| 🥰 | 3 | 21.4% | |
| ❤ | 2 | 14.3% | |
| 🙏 | 2 | 14.3% | |
| 🔥 | 1 | 7.14% |
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 11 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 14 reactions 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 26 July 2026 to 2 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.
Zentangle ist eine Form des intuitiven Zeichnens, für die man nur ein Blatt Papier und einen Stift braucht. Die Muster, die "Tangles" genannt werden, bestehen aus Kombinationen aus Punkten, Linien, einfachen Kurven, S-Kurven und Kreisen. Die Bilder die so entstehen sind ungeplant, es geht nicht darum ein bestimmtes Ergebnis zu erzielen, sondern es darf fließen. Ohne eine vorgefasste Idee, wie ein Stück am Ende ausseh…
🥰3
👆Kurz nach dem Ende des Ersten Weltkriegs, zieht es den Veteranen Tom Sherbourne (Michael Fassbender) mit seiner jungen Frau Isabel (Alicia Vikander) auf eine einsame Leuchtturm-Insel vor der Westküste Australiens. Tom hat im Krieg die Gräuel erlebt, die sich Menschen gegenseitig antun, und möchte nun abgeschieden, ohne großen Kontakt zur Außenwelt, leben. Die Ehe wird jedoch durch zwei Fehlgeburten arg in Mitleidens…
Liebe zwischen den Meeren (2016) HD
👍2
@Chlordioxid In alten Büchern sieht man Priester und Adlige Leinen tragen, weil sie sich der hohen Lichtfrequenz der Stoffe bewusst waren. Interessant finde ich auch, dass es Zusammenhänge mit dem Tragen von synthetischen Mützen und Haarausfall gibt. Unter der Mütze entsteht eine elektrische Spannung was die Haare nicht mögen und Haarverlust begünstigen kann. Wer Probleme mit dem Restless Leg Syndrom hat sollte d…
❤1
File, posted without a caption
https://www.youtube.com/watch?v=lrgQakHPRP8
Gefunden bei agricultureinfarming. Magnetkraft als Antrieb für einen Stromgenerator. Freie Energie 🐾 @neue_erde 🫧 Doku
🙏1
Eine Ära ist zu Ende, wenn ihre grundlegenden Illusionen erschöpft sind.
Video, posted without a caption
„Sich im Pessimismus zu verfangen, bedeutet, in einer endlosen Rückkopplungsschleife gefangen zu sein: Wir wären nicht so pessimistisch, wenn sich unsere Welt nicht so düster darstellte, und unsere Welt würde sich nicht so düster darstellen, wenn wir nicht so pessimistisch wären. Sich in einer pessimistischen Sichtweise zu verfangen, heißt, unbewusst zum Verbündeten jener Dunkelheit zu werden, die unseren Pessimismus…
🙏1
Photo, posted without a caption
🚫ZENSIERTE🚫 Erfindungen Der Freien ⚡️Energie⚡️ Im Laufe der Geschichte gelang es unzähligen Erfindern, Formen freier Energie zu entdecken, aber auf mysteriöse Weise gab es immer ein Mißgeschick, das verhindert hat, daß diese Erfindungen ans Licht kamen. Aber was ist paßiert mit all den Forschungen zur freien Energie? Veröffentlicht am: 12. Mai 2021 🔻 YT Verborgene Geheimnisse TV #VerborgeneGeheimnisseTv #Zensiert…
👍1
Showing the 12 most recent of 20 posts we hold for @wundertuete_tuetewunder. 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.
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.
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.
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 13 September 2026 — this entry's latest reading, not the date you are reading this.
“Wundertüte” (@wundertuete_tuetewunder), 205 subscribers as measured 13 September 2026. Telegram Register, tgregister.com/channel/wundertuete_tuetewunder.
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.