Der Einfluss der alten chinesischen Familien, einfach erklärt! @arminius_erben
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Channel
@florianarnoldson
On this record: Topic · Channels linked by matching posts · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
15,186subscribers
-534 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1001711698192 |
|---|---|
| Type | Channel |
| Username | @florianarnoldson |
| Description | https://linktr.ee/florian_arnoldson |
| Created | 28 November 2021 — measured — cross-checked against a third-party dataset (ext.tg_channel) |
| First recorded | 6 August 2026 |
| Last confirmed live | 12 November 2026 |
| Measurements held | 66 |
| Confirmed unchanged | 1 time, most recently 12 November 2026 |
| On Telegram | t.me/florianarnoldson |
International news — 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 10 September 2026 and assigned it the closest of 31 fixed categories, at 57% 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.
This channel is in a group of 4 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 12 Nov 2026, 17:56 | 15,186 | -15 |
| 10 Nov 2026, 15:37 | 15,201 | -7 |
| 9 Nov 2026, 06:07 | 15,208 | -11 |
| 7 Nov 2026, 19:47 | 15,219 | -8 |
| 6 Nov 2026, 14:38 | 15,227 | -6 |
| 5 Nov 2026, 14:28 | 15,233 | -5 |
| 4 Nov 2026, 11:58 | 15,238 | -9 |
| 3 Nov 2026, 15:06 | 15,247 | -5 |
| 2 Nov 2026, 14:11 | 15,252 | -7 |
| 1 Nov 2026, 12:16 | 15,259 | -8 |
| 31 Oct 2026, 13:36 | 15,267 | -8 |
| 30 Oct 2026, 16:35 | 15,275 | -7 |
| 29 Oct 2026, 14:47 | 15,282 | -2 |
| 28 Oct 2026, 16:07 | 15,284 | -6 |
| 27 Oct 2026, 16:28 | 15,290 | -7 |
| 26 Oct 2026, 15:16 | 15,297 | -5 |
| 25 Oct 2026, 17:56 | 15,302 | -7 |
| 24 Oct 2026, 14:37 | 15,309 | -2 |
| 23 Oct 2026, 13:35 | 15,311 | -9 |
| 22 Oct 2026, 17:01 | 15,320 | first reading |
70 posts held, back to 7 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 74 pages of Telegram’s post history, 20 posts per page.
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.
| Window | Rolling 30 days · latest post in window 11 November 2026 |
|---|---|
| Posts held | 70 (7 July 2026 – 11 November 2026) |
| Views total | 33,438 |
| Reactions total | 817 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 12 Nov 2026, 19:05 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.
Lifetime counters from Telegram’s own channel header, read 12 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.
Measured directly from 26 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.
2,672 reactions across 70 posts, in 12 distinct kinds. The most used accounts for 34.1% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 💯 | 912 | 34.1% | |
| 👍 | 878 | 32.9% | |
| ❤ | 259 | 9.69% | |
| 🔥 | 217 | 8.12% | |
| 👏 | 190 | 7.11% | |
| 🕊 | 67 | 2.51% | |
| 🥰 | 51 | 1.91% | |
| ⚡ | 45 | 1.68% | |
| 🙏 | 32 | 1.20% | |
| 🫡 | 11 | 0.412% | |
| 🏆 | 6 | 0.225% | |
| 🤝 | 4 | 0.15% |
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 70 of the 70 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 2,672 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 70 most recent posts we hold, published 7 July 2026 to 11 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.
Telegram’s own ‘edited’ marker: 0 of 16 posts held from the last 30 days (0%) 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).
Der Einfluss der alten chinesischen Familien, einfach erklärt! @arminius_erben
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ZEITSPUREN ERLEBT Die Welt braucht Menschen mit Rückgrat. Kein käufliches Gewissen und keine angepassten Mitläufer. Menschen, die ihr Wort halten, auch wenn es ihnen Nachteile bringt. Die ihre Überzeugungen nicht verkaufen, sobald Geld, Macht oder Anerkennung winken. Die selbst denken, statt fremde Meinungen nachzuplappern. Die Unrecht beim Namen nennen, auch wenn die Mehrheit schweigt. Die nicht ständig ihre Hal…
💯44👍7❤4👏2🤝1
Die CIA hat mit Hilfe von SIS, MI6 und später Mossad die politische Landschaft Europas akribisch nach dem Bild gestaltet, das Washington wollte. Dies war kein organischer Aufbau von Allianzen. Es war eine langfristige Operation. Sie kauften Zeitungsredakteure. Sie kauften Gewerkschaftsführer. Sie kauften Parlamentarier. Sie kauften zwei NATO-Generalsekretäre: Jens Stoltenberg und Mark Rutte. Sie kauften ganze Lä…
💯36🔥10❤3👏2🕊1
Oberst Lawrence Wilkerson, pensionierter Offizier der US-Armee und ehemaliger Stabschef des Außenministers, spricht das Offensichtliche laut aus: Die USA habe Europa nicht nur beeinflusst, sondern das Europa, das wir heute sehen, bewusst erschaffen. @arminius_erben 👇👇👇
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@arminius_erben
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@arminius_erben
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Völkermord und Raub: Wie das US-Kapital Deutschland unterjochte Deutschland besitzt für die USA einen unvergleichlich hohen Beutewert: Als Hauptfinanzier der EU und ihrer monströsen Bürokratie sowie Umverteilungsmaschinerie, als Kreditgeber letzter Instanz und Garant der nur notdürftig zusammengehaltenen Eurozone, als logistische Drehscheibe für die Kriege der US-Armee, als Absatzmarkt für überteuerte Rohstoffe, als…
👍24🔥11⚡3❤2👏2🕊2💯1🙏1
Mit diesem ganzen Halloween-Rummel kann ich wenig anfangen. Mich befremdet, wie selbstverständlich wir inzwischen das Grauen zur Unterhaltung machen. Blutverschmierte Gesichter, entstellte Figuren, immer drastischere Schockeffekte. Und mittendrin Kinder, für die das alles zur Normalität werden soll. Dabei führt eine der Wurzeln von Halloween zurück zu Samhain, einem alten keltischen Fest, das den Übergang von der E…
💯46👍22❤8🕊4
Gedankenzünder Halloween – wenn das Grauen zum Geschäft wird @arminius_erben 👇👇👇
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Herzschäden durch Infraschall von Windrädern: Mainzer Studie jetzt offiziell im Springer-Fachorgan Die Kritik war vorhersehbar: „Nur ein Poster“, „nicht peer-reviewed“, „graue Literatur“. Wer die Mainzer Arbeitsgruppe um Herzchirurg Prof. Dr. Christian-Friedrich Vahl widerlegen wollte, musste sich auf Formalia zurückziehen – denn die Daten selbst waren eindeutig. Diese Ausrede ist jetzt vom Tisch. Die Studie ist n…
💯23🔥10❤3👏2
Simone Voss „𝔚𝔦𝔯 𝔰𝔦𝔫𝔡 𝔡𝔦𝔢 𝔈𝔯𝔟𝔢𝔫 𝔡𝔢𝔯 𝔚𝔲𝔫𝔡𝔢𝔫, 𝔞𝔟𝔢𝔯 𝔞𝔲𝔠𝔥 𝔡𝔦𝔢 𝔙𝔢𝔯𝔴𝔞𝔥𝔯𝔢𝔯 𝔡𝔢𝔯 ℌ𝔢𝔦𝔩𝔲𝔫𝔤. 𝔚𝔞𝔰 𝔤𝔢𝔟𝔯𝔬𝔠𝔥𝔢𝔫 𝔴𝔲𝔯𝔡𝔢, 𝔨𝔞𝔫𝔫 𝔷𝔲𝔰𝔞𝔪𝔪𝔢𝔫𝔤𝔢𝔣ü𝔤𝔱 𝔲𝔫𝔡 𝔤𝔢𝔥𝔢𝔦𝔩𝔦𝔤𝔱 𝔴𝔢𝔯𝔡𝔢𝔫. 𝔚𝔞𝔰 𝔳𝔢𝔯𝔩𝔬𝔯𝔢𝔫𝔤𝔦𝔫𝔤, 𝔨𝔞𝔫𝔫 𝔴𝔦𝔢𝔡𝔢𝔯𝔤𝔢𝔣𝔲𝔫𝔡𝔢𝔫 𝔴𝔢𝔯𝔡𝔢𝔫.“ ~ℭ𝔬𝔯𝔦𝔫𝔫𝔢 𝔇𝔢 𝔏𝔢𝔢𝔫𝔥𝔢𝔢𝔯~ Die heutige Frauengeneration ist so damit beschäftigt zu beweisen, dass Frauen alles können, was eigentlich Männer tun, dass Frauen die besonderen und einzigartigen Qualitäten verlieren, die sie auszeichn…
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Jeffrey Sachs legt die brutalen Fakten offen @arminius_erben
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Showing the 12 most recent of 70 posts we hold for @florianarnoldson. 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.
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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.
Named by 8 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.
Named by
Channels on the register whose posts name this channel's handle.
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 12 November 2026 — this entry's latest reading, not the date you are reading this.
“florian_arnoldson©️🕊” (@florianarnoldson), 15,186 subscribers as measured 12 November 2026. Telegram Register, tgregister.com/channel/florianarnoldson.
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.