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Telegram profile photo for 🇩🇪Stephan Brandner🇩🇪

Channel

🇩🇪Stephan Brandner🇩🇪

@StephanBrandnerMdB

On this record: Topic · Observations · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Telegram's recommendations · Cross-platform identity · Cite this entry

7,136subscribers

-162 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001333754127
TypeChannel
Username@StephanBrandnerMdB
Description... direkt gewählter (44,8%!) AfD-Bundestagsabgeordneter im Wahlkreis Gera-Greiz-Altenburger Land.
Created11 December 2019 — measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live14 November 2026
Measurements held27
Confirmed unchanged1 time, most recently 14 November 2026
On Telegramt.me/StephanBrandnerMdB

Topic

Politics & activism — 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 12 September 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 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 3 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
@StephanBrandnerMdB/5207 · this entry8 Aug 2026, 07:44 UTC@michael_hauke1/115998 Aug 2026, 09:53 UTC1.002.1 hours
@StephanBrandnerMdB/5211 · this entry8 Aug 2026, 17:46 UTC@michael_hauke1/116058 Aug 2026, 19:21 UTC1.001.6 hours
@StephanBrandnerMdB/5220 · this entry10 Aug 2026, 07:58 UTC@michael_hauke1/1169510 Aug 2026, 09:30 UTC1.001.5 hours
@StephanBrandnerMdB/5252 · this entry14 Aug 2026, 18:02 UTC@michael_hauke1/1195515 Aug 2026, 05:38 UTC1.0012 hours
@StephanBrandnerMdB/5635 · this entry2 Nov 2026, 09:29 UTC@michael_hauke1/152252 Nov 2026, 10:18 UTC1.0049 minutes
@StephanBrandnerMdB/5647 · this entry6 Nov 2026, 13:18 UTC@michael_hauke1/153826 Nov 2026, 15:02 UTC1.001.7 hours
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
ChannelMatching postsText overlapTypical gapPublished first
@michael_hauke114 (7/8 hand-verifiable sample passed)1.001.7 hoursthis entry (14–0)
@AfDFraktionBundestag_a13 (7/8 hand-verifiable sample passed)1.001.5 hoursthis entry (13–0)
@MeetYourMentorOffizielle13 (8/8 hand-verifiable sample passed)1.002.1 hoursthis entry (13–0)

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 95 comparable posts for this entry, running 2 August 2026 to 14 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).

Recorded under the key clone_source, last confirmed 15 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.

Growth

7,1367,2987,2176 August 2026 — 7,298 subscribers6 August 2026 — 7,298 subscribers6 August 2026 — 7,294 subscribers9 August 2026 — 7,287 subscribers12 August 2026 — 7,279 subscribers15 August 2026 — 7,282 subscribers18 August 2026 — 7,277 subscribers21 August 2026 — 7,270 subscribers28 August 2026 — 7,264 subscribers31 August 2026 — 7,265 subscribers3 September 2026 — 7,254 subscribers8 September 2026 — 7,257 subscribers12 September 2026 — 7,256 subscribers16 September 2026 — 7,246 subscribers2 October 2026 — 7,210 subscribers8 October 2026 — 7,196 subscribers14 October 2026 — 7,192 subscribers17 October 2026 — 7,188 subscribers20 October 2026 — 7,178 subscribers23 October 2026 — 7,174 subscribers26 October 2026 — 7,169 subscribers29 October 2026 — 7,165 subscribers1 November 2026 — 7,157 subscribers3 November 2026 — 7,151 subscribers6 November 2026 — 7,152 subscribers10 November 2026 — 7,149 subscribers14 November 2026 — 7,136 subscribers6 August 202614 November 2026
27 measurements spanning 100 days, net -162. 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 7,112–7,322 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 27
Measured (UTC)SubscribersChange
14 Nov 2026, 17:087,136-13
10 Nov 2026, 00:517,149-3
6 Nov 2026, 17:417,152+1
3 Nov 2026, 18:087,151-6
1 Nov 2026, 01:087,157-8
29 Oct 2026, 07:587,165-4
26 Oct 2026, 10:007,169-5
23 Oct 2026, 06:257,174-4
20 Oct 2026, 05:367,178-10
17 Oct 2026, 07:367,188-4
14 Oct 2026, 01:297,192-4
8 Oct 2026, 20:567,196-14
2 Oct 2026, 01:187,210-36
16 Sept 2026, 19:397,246-10
12 Sept 2026, 15:387,256-1
8 Sept 2026, 07:027,257+3
3 Sept 2026, 10:167,254-11
31 Aug 2026, 13:267,265+1
28 Aug 2026, 05:587,264-6
21 Aug 2026, 15:357,270first reading

Engagement

126 posts held, back to 2 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 34 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
18.8%
avg views ÷ 7,136 subscribers
Avg views / post
1,340
52 posts measured
Reaction rate
7.31%
reactions ÷ views · ER floor
Posts in window
52
of 126 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 14 November 2026
Posts held126 (2 August 2026 – 14 November 2026)
Views total69,772
Reactions total5,098
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken15 Nov 2026, 01:08 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
≈3,640
Videos
≈1,070
Links
≈1,300

Lifetime counters from Telegram’s own channel header, read 15 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.

Video runtime
1h 31m
Average length
4m 00s

Measured directly from 23 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

12,853 reactions across 126 posts, in 41 distinct kinds. The most used accounts for 72.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍9,24872.0%
❤1,76613.7%
👏4983.87%
🤣3973.09%
🤔1941.51%
🥴1311.02%
🤬990.77%
💯810.63%
🤮670.521%
👌650.506%
🙏510.397%
😁490.381%
💩360.28%
🔥310.241%
😱170.132%
🥰150.117%
👻110.086%
🏆90.07%
🙈90.07%
🤪80.062%
21 further kinds710.552%

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 126 of the 126 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 12,853 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 126 most recent posts we hold, published 2 August 2026 to 14 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: 4 of 52 posts held from the last 30 days (7.69%) 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).

14 Nov 2026, 22:12 UTC227 views11 reactionsread 15 November 2026
Photo

Wegen der großen Nachfrage meiner Quiz- & Rätselfreunde (ich versteh's auch nicht😂, aber es ist gewollt!): Wo fuhr ich😎 wann & mit wem & was 🚤 so rum? Und: Was machen wohl meine damaligen Mitabenteurer aus Göttingen (Lehramtstudis)...🤔 Mit diesen Gedanken: #gutsNächtle👋

👍11

14 Nov 2026, 18:39 UTC579 views71 reactionsread 15 November 2026
Photo

Echt, die Schale wird heiß🔥 , wenn sie 50 Minuten bei ca. 150 Grad im Backofen stand?😳 Boah, danke 🙏 für die Warnung ⚠️... 🤡

🤣69❤1🔥1

14 Nov 2026, 14:59 UTC739 views81 reactionsread 15 November 2026
Photo

Sehr gut besuchter, toller Infostand in der #Gewinnerstadt #Gera🥰 Leider der letzte in diesem Jahr... #AfD🇩🇪💙 #wirhabendasDirektmandat👍 #WK193 #Berlin #Bundestag #Brandner

👍76❤4❤‍🔥1

14 Nov 2026, 11:15 UTC842 views57 reactionsread 15 November 2026

❓Frage❓/❗️Antwort❗️ 👉Flugtaxis...🔎🤔 ****************** ❓"Wurden Zahlungen, Zuwendungen, Fördermittel oder sonstige finanzielle Leistungen unmittelbar oder mittelbar aus dem Bundeshaushalt an das Flugtaxi-Start-up Lilium erbracht...?" ❗️👉https://www.brandner-im-bundestag.de/anfragen/schriftliche-frage-100204-oktober-2026.html

❤31👍20🔥5👌1

14 Nov 2026, 08:19 UTC903 views84 reactionsread 15 November 2026

#FünfFragenFünfAntworten 👩 🎤🗣️ - heute: "Warum verprasst 🏰 👑 💎 der Staat unser Geld?"😳 🍿📽️ 👉https://youtu.be/WIHI4GHPfR8?si=CqqQ3rkR_uAnjbKS #5f5a #5Fragen5Antworten #AfD🇩🇪💙 #wirhabendasDirektmandat👍 #WK193 #Berlin #Bundestag #Brandner

👍76❤5🔥3

14 Nov 2026, 08:13 UTC834 views114 reactionsread 15 November 2026
Photo

Moin! Erstmal frühstücken...😉😂

🥴51🤣29👍23😱8🌭1🍌1🤔1

13 Nov 2026, 15:24 UTC≈1,020 views91 reactionsread 15 November 2026

❓Frage❓/❗️Antwort❗️ ****************** ❓"Wie viele Gefährder mit syrischer Staatsangehörigkeit hielten sich seit dem Beginn der Legislaturperiode in Deutschland auf...?“🔎🤔 ❗️👉https://www.brandner-im-bundestag.de/anfragen/schriftliche-frage-100417-oktober-2026.html

👍83🔥4❤3🤬1

13 Nov 2026, 14:15 UTC≈1,060 views134 reactionsread 15 November 2026
Photo

Die Freitagschlußschicht✊ verabschiedet sich in die Wahlkreise👋 Tolle Truppe, unsere AfD-Bundestagsfraktion🥰 - bin dankbar, dazuzugehören🤗 #Brandnerunterwegs🚙 #AfD🇩🇪💙 #wirhabendasDirektmandat👍 #WK193 #Berlin #Bundestag #Brandner

👍117❤11👏3🙏3

13 Nov 2026, 10:27 UTC≈1,070 views94 reactionsread 15 November 2026
Video

Hier 👇👇 🎥🍿👉https://youtu.be/orrBraTiE0M?si=2QGW2xHWHAYQ8Gz jetzt das flotte Interview mit @HenHoffgaard von der #JungeFreiheit/ #JF. Vielen Dank🙏 für die Einladung. #AfD🇩🇪💙 #Brandnerunterwegs🚙 #wirhabendasDirektmandat👍 #WK193 #Berlin #Bundestag #Brandner

👍88❤5👌1

12 Nov 2026, 15:47 UTC≈1,180 views137 reactionsread 15 November 2026
Photo

Gespräch mit einer Delegation des tschechischen 🇨🇿 Parlaments... #AfD🇩🇪💙 #wirhabendasDirektmandat👍 #WK193 #Berlin #Bundestag #Brandner

❤90👍46🕊1

12 Nov 2026, 15:25 UTC≈1,140 views185 reactionsread 15 November 2026
Video

Sie 🇩🇪 hängt & weht wieder! 🥰

❤129👍46👏7🏆2❤‍🔥1

Showing the 12 most recent of 126 posts we hold for @StephanBrandnerMdB. 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.

Forward network

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.

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.

Björn Höcke
@BjoernHoeckeAfD · 48,582
Telegram ranks this channel #6 of 80 here — alongside 79 others — read 26 August 2026
Achtung, Reichelt!
@AchtungReichelt · 21,373
Telegram ranks this channel #14 of 81 here — alongside 80 others — read 23 September 2026
Nius
@niusde · 35,553
Telegram ranks this channel #22 of 80 here — alongside 79 others — read 3 September 2026
Carsten Jahn - TEAM HEIMAT
@CarstenJahn_TEAMHEIMAT · 66,975
Telegram ranks this channel #26 of 80 here — alongside 79 others — read 20 August 2026
Martin Sichert Infokanal
@martinsichertinfo · 20,889
Telegram ranks this channel #27 of 83 here — alongside 82 others — read 25 September 2026
Tichys Einblick
@tichyseinblicknews · 19,792
Telegram ranks this channel #36 of 79 here — alongside 78 others — read 29 September 2026
Digitaler Chronist
@DigitalChronist · 29,083
Telegram ranks this channel #44 of 80 here — alongside 79 others — read 8 September 2026
Apollo News
@apollonews_de · 19,265
Telegram ranks this channel #52 of 82 here — alongside 81 others — read 4 October 2026
JUNGE FREIHEIT
@JUNGE_FREIHEIT_Official · 20,151
Telegram ranks this channel #53 of 81 here — alongside 80 others — read 28 September 2026

This channel appears in 9 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.

Cross-platform identity — Wikidata

A Wikidata item names this Telegram handle as belonging to the entity it describes. This is Wikidata’s claim, not a verification made by this register — nobody here confirmed that the account is genuinely operated by the entity named. Wikidata content is CC0; every fact below is dated to when it was read from Wikidata, not to when the association was first made there.

Q18176740 on Wikidata, read 15 November 2026
LabelStephan Brandner
DescriptionGerman politician (born 1966)
X / Twitter@StBrandner
YouTubeUCKK6WkPbdo91whuKTT1BPPA
Official sitehttps://www.brandner-im-bundestag.de

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 14 November 2026 — this entry's latest reading, not the date you are reading this.

“🇩🇪Stephan Brandner🇩🇪” (@StephanBrandnerMdB), 7,136 subscribers as measured 14 November 2026. Telegram Register, tgregister.com/channel/StephanBrandnerMdB.

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.