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Telegram profile photo for Michael Hauke, Verleger Offiziell 🇩🇪 (Michael Hauke)

Channel

Michael Hauke, Verleger Offiziell 🇩🇪 (Michael Hauke)

@michael_hauke1

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

21,388subscribers

+9,512 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1002575442638
TypeChannel
Username@michael_hauke1
DescriptionOffizieller Telegram-Kanal von Michael Hauke, Hier finden Sie weitere Informationen zu me Verleger. Hier finden Sie aktuelle Neuigkeiten zu meinen Themen. Nützliche Erinnerungen und Motivation. Wir bieten auch Investitionsmöglichkeiten.Beste Grüße✍️😊🇩🇪
CreatedBetween 1 March 2025 and 31 July 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live25 September 2026
Measurements held35
Confirmed unchanged1 time, most recently 25 September 2026
On Telegramt.me/michael_hauke1

Topic

Politics & activism — 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 100% 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 (6 of the pairs behind the counts below)
Posted firstThenOverlapGap
@AfDFraktionBundestag_a/115306 Aug 2026, 22:54 UTC@michael_hauke1/11569 · this entry6 Aug 2026, 22:54 UTC1.00under a minute
@AfDFraktionBundestag_a/115316 Aug 2026, 22:54 UTC@michael_hauke1/11570 · this entry6 Aug 2026, 22:54 UTC1.00under a minute
@AfDFraktionBundestag_a/115347 Aug 2026, 11:00 UTC@michael_hauke1/11572 · this entry7 Aug 2026, 11:00 UTC1.00under a minute
@AfDFraktionBundestag_a/115447 Aug 2026, 15:35 UTC@michael_hauke1/11583 · this entry7 Aug 2026, 15:35 UTC1.00under a minute
@AfDFraktionBundestag_a/115467 Aug 2026, 15:38 UTC@michael_hauke1/11585 · this entry7 Aug 2026, 15:38 UTC1.00under a minute
@AfDFraktionBundestag_a/115477 Aug 2026, 15:39 UTC@michael_hauke1/11586 · this entry7 Aug 2026, 15:39 UTC1.00under a minute
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@AfDFraktionBundestag_a10 (8/8 hand-verifiable sample passed)1.00under a minute@AfDFraktionBundestag_a (6–4)
@MeetYourMentorOffizielle10 (8/8 hand-verifiable sample passed)1.00under a minutethis entry (7–3)

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. 9 of the 9 matches recorded here fall after that date and carried no header when we read them. The rest predate reliable capture and are not evidence either way.

“Published first” means first in this corpus. We hold 11 comparable posts for this entry, running 6 August 2026 to 8 August 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 @AfDFraktionBundestag_a. That is a statement about our reading window, not a claim of authorship.

Recorded under the keys clone_mutual · clone_source, 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 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

11,84821,45616,6527 August 2026 — 11,876 subscribers8 August 2026 — 11,875 subscribers9 August 2026 — 11,867 subscribers10 August 2026 — 11,853 subscribers10 August 2026 — 11,848 subscribers11 August 2026 — 14,344 subscribers12 August 2026 — 14,338 subscribers13 August 2026 — 14,329 subscribers15 August 2026 — 16,848 subscribers16 August 2026 — 16,829 subscribers17 August 2026 — 16,819 subscribers18 August 2026 — 16,799 subscribers19 August 2026 — 16,793 subscribers20 August 2026 — 16,788 subscribers21 August 2026 — 16,777 subscribers23 August 2026 — 16,746 subscribers24 August 2026 — 16,728 subscribers25 August 2026 — 16,716 subscribers26 August 2026 — 16,710 subscribers27 August 2026 — 16,701 subscribers28 August 2026 — 16,698 subscribers29 August 2026 — 16,683 subscribers30 August 2026 — 16,672 subscribers31 August 2026 — 16,660 subscribers1 September 2026 — 16,658 subscribers2 September 2026 — 16,653 subscribers3 September 2026 — 16,638 subscribers5 September 2026 — 16,597 subscribers8 September 2026 — 16,563 subscribers11 September 2026 — 16,524 subscribers13 September 2026 — 16,517 subscribers14 September 2026 — 16,496 subscribers16 September 2026 — 16,469 subscribers19 September 2026 — 21,456 subscribers25 September 2026 — 21,388 subscribers21,3887 August 202625 September 2026
35 measurements spanning 49 days, net +9,512. 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 10,407–22,897 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 35
Measured (UTC)SubscribersChange
25 Sept 2026, 11:3821,388-68
19 Sept 2026, 00:2021,456+4,987
16 Sept 2026, 12:5916,469-27
14 Sept 2026, 16:4216,496-21
13 Sept 2026, 04:1616,517-7
11 Sept 2026, 09:1816,524-39
8 Sept 2026, 12:3516,563-34
5 Sept 2026, 06:5716,597-41
3 Sept 2026, 09:4916,638-15
2 Sept 2026, 07:1316,653-5
1 Sept 2026, 10:0416,658-2
31 Aug 2026, 13:3416,660-12
30 Aug 2026, 13:0616,672-11
29 Aug 2026, 14:4716,683-15
28 Aug 2026, 11:3616,698-3
27 Aug 2026, 08:5416,701-9
26 Aug 2026, 11:1216,710-6
25 Aug 2026, 12:2216,716-12
24 Aug 2026, 15:4716,728-18
23 Aug 2026, 02:2716,746first reading

Engagement

685 posts held, back to 6 August 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 53 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
0.028%
avg views ÷ 21,388 subscribers
Avg views / post
6.0
72 posts measured
Reaction rate
—
this channel exposes no reaction counts
Posts in window
72
of 685 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
WindowRolling 30 days · latest post in window 30 September 2026
Posts held685 (6 August 2026 – 30 September 2026)
Views total430
Reactions total—
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken30 Sept 2026, 16:26 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
≈7,960
Videos
≈3,890
Links
≈6,050

Lifetime counters from Telegram’s own channel header, read 30 September 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.

Video runtime
8h 00m
Average length
2m 55s

Measured directly from 165 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

3 reactions across 3 posts, in 2 distinct kinds. The most used accounts for 66.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤266.7%
💋133.3%

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 3 of the 685 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 3 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 685 most recent posts we hold, published 6 August 2026 to 30 September 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

30 Sept 2026, 14:57 UTC6 viewsread 30 September 2026
Video

Wenn ein Drama im Cockpit gschieht, Du drohst abzustürzen und Deine letzte Gebete zu Gott gesprochen hast, aber dann doch merkst, dass Du überlebt hast und Schlimmeres verhindert wurde, klatscht und singst Du dann, wenn der Flieger landet, oder atmest Du tief durch und bist noch in einem hormonellen Überlebens/Kampfmodus, bei dem nur glücklich bist überlebt zu haben. Ist nur eine Frage. Aber wir sind alle anders gest…

30 Sept 2026, 14:57 UTC5 viewsread 30 September 2026
Photo

Rhein: „Stadtbild“-Debatte ja, Kanzler-Ambitionen nein Nach den CDU-Niederlagen in Mecklenburg-Vorpommern und Berlin hat Hessens Ministerpräsident Boris Rhein in der „Bild am Sonntag“ seinen Kurs in der Migrationspolitik erklärt und Ambitionen auf höhere Ämter zurückgewiesen. Rhein stellte sich demonstrativ hinter Kanzler Friedrich Merz: „Friedrich Merz ist Kanzler und hat meine Unterstützung.“ Personaldebatten seie…

30 Sept 2026, 14:57 UTC6 viewsread 30 September 2026
Video

Saylor: US-Banken könnten 100 Milliarden Dollar Bitcoin-Kredit schaffen Michael Saylor, Verwaltungsratsvorsitzender von Strategy, hat auf dem Freedom-Tech-Gipfel in Washington eine markante Rechnung aufgemacht. Schon zwei bis drei US-Großbanken könnten binnen zwölf Monaten rund 100 Mrd. US-Dollar an bitcoin-besicherten Krediten vergeben. Die Folge wäre nach seiner Darstellung ein Angebotsschock: Eine solche Summe e…

30 Sept 2026, 14:57 UTC6 viewsread 30 September 2026
Photo

„Shielded Bitcoin": Vorschlag für private Transaktionen direkt auf Bitcoin Forscher des Teams Alloc Init haben einen 56-seitigen Entwurf namens „Shielded Bitcoin" veröffentlicht. Er soll private Überweisungen direkt auf der Bitcoin-Blockchain ermöglichen, ohne Soft Fork oder Änderung der Konsensregeln. Nach dem Vorbild von Zcash werden Beträge als verschlüsselte „Notes" dargestellt. Zero-Knowledge-Beweise verbergen…

30 Sept 2026, 14:56 UTC4 viewsread 30 September 2026
Video

Die gesamte Geschichte von Bitcoin und Geld Der Bitcoin-Investor und Podcaster Brad Mills hat eine Übersicht über die Entwicklung des Geldes zusammengestellt, von frühen Tauschmitteln bis zu Bitcoin. Solche Darstellungen ordnen Bitcoin in eine lange Reihe von Geldformen ein: Muscheln, Edelmetalle, Papiergeld und schließlich digitale Währungen. Im Zentrum steht dabei meist die Frage, was gutes Geld ausmacht, etwa Kn…

30 Sept 2026, 14:56 UTC5 viewsread 30 September 2026
Video

BULLISH: Michael Saylor von 🟠 Strategy sagte gerade: Die wirkliche Chance besteht jetzt darin, tokenisierte digitale Kredite zu schaffen, die die 300 Billionen Dollar Kreditmärkte ersetzen. 1% davon sind 3 Billionen Dollar. "Digitale Geldinstrumente zusätzlich zu digitalen Krediten treten die Volatilität auf Null zurück und zahlen immer noch das Doppelte der SOFR". "Es ist fast wie der mythische BTC-gestützte Stabl…

30 Sept 2026, 14:25 UTC7 viewsread 30 September 2026
Photo

Jeden Tag solche Meldungen... === Heute früh die Nachricht, dass ein Jugendtrainer vom 1.FC Nürnberg mit 38 Jahren völlig unerwartet verstorben ist, jetzt ein bayerischer Bürgermeister während einer Sitzung. Hört auf, uns zu erklären, dass das alles ganz normal sei! Michael Hauke - t.me/MichaelHaukeVerleger1

30 Sept 2026, 14:24 UTC7 viewsread 30 September 2026
Video

"Lassen Sie uns über Michael Hauke sprechen!" === Ronald Gläser hielt diese Rede im Deutschen Bundestag. Am Montag, den 12. Oktober bin ich bei ihm in Berlin-Pankow (Alt-Blankenburg 12a) mit einem Vortrag zu Gast, siehe vorigen Post. Michael Hauke - t.me/MichaelHaukeVerleger1

30 Sept 2026, 14:24 UTC6 viewsread 30 September 2026
Photo

Nächste Lesung in Berlin-Pankow === Ich bin am Montag, den 12. Oktober auf Einladung des AfD-Bundestagsabgeordneten Ronald Gläser zu einer Lesung in Berlin-Blankenburg (Bezirk Pankow). Adresse: Alt-Blankenburg 12a, Berlin Beginn: 19:00 Uhr. Ich werde bereits um 18:30 Uhr da sein und brav an meinem Büchertisch sitzen, falls jemand eines meiner drei Bücher kaufen möchte, gern persönlich gewidmet. Ich freue mich auf …

30 Sept 2026, 00:48 UTC14 viewsread 30 September 2026
Video

Psychiatrie für Quarantäne-Verweigerer:💥Neue Dokumente bringen Köpping in Erklärungsnot Was plante Sachsens Gesundheitsministerin Petra Köpping während der Corona-Zeit tatsächlich mit Menschen, die sich einer Quarantäne widersetzten? Neue Unterlagen zeigen, wie detailliert in solchen Fällen sogar psychiatrische Behandlungen debattiert wurden. Der Beitrag erschien in den „Nachrichten AUF1“ vom 28.09.2026. Mit den tä…

Showing the 12 most recent of 685 posts we hold for @michael_hauke1. 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.

Mentions

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 25 September 2026 — this entry's latest reading, not the date you are reading this.

“Michael Hauke, Verleger Offiziell 🇩🇪 (Michael Hauke)” (@michael_hauke1), 21,388 subscribers as measured 25 September 2026. Telegram Register, tgregister.com/channel/michael_hauke1.

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.