Telegram RegisterThe public register of Telegram
Telegram profile photo for Kartenaufdeckung | Expertenmeinung

Channel

Kartenaufdeckung | Expertenmeinung

@Kartenaufdeckung

On this record: Topic · Observations · Channels linked by matching posts · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry

18,287subscribers

-875 since we began measuring on 6 August 2026

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

Register entry

Telegram ID-1001411507993
TypeChannel
Username@Kartenaufdeckung
DescriptionFakten, die wehtun. Wir zeigen dir die nackte Wahrheit, die Berlin am liebsten wegbügeln würde. Karten, Daten, knallharte Analysen – ohne Filter, ohne Ausreden.🃏👁 ✉️Zusammenarbeit & Rückfragen hier @Kartenaufdeckung_bot
CreatedBetween 1 April 2019 and 31 October 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live11 November 2026
Measurements held64
Confirmed unchanged1 time, most recently 11 November 2026
On Telegramt.me/Kartenaufdeckung

Topic

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 41% 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 158 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.

No sample pairs were kept for this entry. The counts below were measured, but without the pairs there is nothing here for you to open and check, so treat the relationship as recorded rather than demonstrated.

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
@Politische_Nachrichten30 (8/8 hand-verifiable sample passed)1.007.5 hoursthis entry (30–0)

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 194 comparable posts for this entry, running 2 August 2026 to 12 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 158 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.

Recorded under the key clone_source, last confirmed 13 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 158 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.

AUF1
@auf1tv · Channel
271,695 subscribers
Aktien mit Kopf
@Aktien_mit_Kopf1 · Channel
188,045 subscribers
Freie Medien
@FreieMedienTV · Channel
134,014 subscribers
LION Media
@LIONMediaNews · Channel
132,271 subscribers
Oliver Janich & Team
@oliverjanich · Channel
106,330 subscribers
Cruel History
@cruel_historyy · Channel
102,968 subscribers
LION Media TV
@LIONMediaTV · Channel
102,670 subscribers
Qlobal-Change 🫂
@QlobalChange · Channel
91,935 subscribers
Mäckle macht gute Laune
@maeklegutelaune · Channel
91,321 subscribers
BITTEL TV - EINFACH ANDERS
@bitteltv · Channel
91,059 subscribers
Aktuell360 (Antiilluminaten TV)
@antiilluminaten · Channel
89,691 subscribers
Reiner Fuellmich 🇩🇪/🇦🇹/🇨🇭
@ReinerFuellmich · Channel
89,236 subscribers
Wahrheitsjäger
@Wahrheits_jaeger · Channel
83,256 subscribers
HAINTZ.media 🇩🇪🇦🇹🇨🇭🇪🇸
@Haintz · Channel
72,195 subscribers
henning rosenbusch - Channel
@rosenbusch · Channel
71,601 subscribers
🔎 Graphene Agenda 💉
@GrapheneAgenda · Channel
70,162 subscribers
Politische Bilder 😇
@PolitischeBilder · Channel
68,706 subscribers
HISTORY
@secret_history2 · Channel
68,537 subscribers
Stefan Magnet
@stefanmagnet · Channel
68,100 subscribers
Carsten Jahn - TEAM HEIMAT
@CarstenJahn_TEAMHEIMAT · Channel
66,988 subscribers
Tom Lausen ‼️ Original Datenanalyst Offiziell
@Tom_Lausen1 · Channel
61,309 subscribers
Dirk Dietrich
@DDDDoffiziell · Channel
55,844 subscribers
MEINE D-NEWS 🇩🇪 🇦🇹 🇨🇭
@MeineDNEWS · Channel
55,240 subscribers
Prof. Dr. Martin Schwab Offiziell
@ProfMartinSchwab · Channel
48,729 subscribers
Conspiracy Theory
@conspiracy_theory3 · Channel
48,530 subscribers
Anwälte-für-Aufklärung
@Anwaelte_fuer_Aufklaerung · Channel
47,858 subscribers
Prof. Dr. Martin Schwab Offiziell
@ProfdMartinSchwab · Channel
45,709 subscribers
Tom Lausen ‼️❗️original Datenanalyst
@TomLausen · Channel
45,155 subscribers
Rolf Kron - Ärzte stehen auf Offizieller Kanal
@Rolf_Kron · Channel
43,856 subscribers
SECRETS OF HEALTH
@secret_health1 · Channel
42,475 subscribers
Cute and Fun Videos 🥰
@cuteandfunvideos · Channel
39,824 subscribers
Simone Voss - EINE LEHRERIN STEHT AUF-
@simonevoss · Channel
39,783 subscribers
Kanal Rechtsanwalt Dirk Sattelmaier
@rasattelmaier · Channel
38,371 subscribers
1984 – Das Magazin
@oliverflesch · Channel
36,744 subscribers
Wow!
@wowwvd · Channel
34,955 subscribers
Meet Your Mentor (mym by Simo) MYM-Clips
@MeetYourMentorOffizielle · Channel
34,656 subscribers
Heiko Schöning offiziell
@heiko_schoening · Channel
34,062 subscribers
Q-Faktor Germany News - Die Echtzeit Analyse - Das Original ©
@Q_Faktor_Germany · Channel
33,631 subscribers
Snicklink unzensiert
@snicklink3000 · Channel
33,005 subscribers
Amazing Facts💡
@amazingfacts4 · Channel
32,576 subscribers
JENS LEHRICH
@jenslehrich1 · Channel
29,311 subscribers
Politische Nachrichten 🗞
@Politische_Nachrichten · Channel
27,867 subscribers
Dave Brych Kanal
@davebrych_public · Channel
27,317 subscribers
Dr. med. Carola Javid- Kistel MITEINANDER MUTIG SEIN- ÄRZTE STEHEN AUF FÜR PATIENTEN.....🙏❤
@miteinander_mutig_sein · Channel
27,029 subscribers
KateBonoAwake
@KateBono · Channel
26,980 subscribers
Kontrafunk - Die Stimme der Vernunft
@kontrafunk2 · Channel
24,240 subscribers
Danijel_Sheran17 ✨
@danijelsheran · Channel
22,850 subscribers
✨✨✨ᵂᴬQᴱᵁᴾᵂᴼᴿᴸᴰ✨✨✨ 🄰🅁🄲🄷🄸🅅✨✨✨
@waqeupworld · Channel
20,801 subscribers
Kurz und Kräftig
@Kurz_und_kraftig · Channel
20,319 subscribers
💣𝐓𝐈𝐐 𝐓𝐎𝐐 𝐁𝐐𝐐𝐌𝐒💣
@TiQToQBQQms · Channel
19,337 subscribers

107 more channels are in this same group but not listed individually here.

Growth

17,84819,75318,800.518,2876 August 202611 November 2026
64 measurements spanning 97 days, net -875. 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 17,562–20,039 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 64
Measured (UTC)SubscribersChange
11 Nov 2026, 07:5118,287-10
9 Nov 2026, 16:5118,297+35
8 Nov 2026, 11:4718,262-121
7 Nov 2026, 06:2918,383-57
6 Nov 2026, 05:5718,440+202
5 Nov 2026, 02:2618,238+192
4 Nov 2026, 03:1018,046+57
3 Nov 2026, 05:0617,989+110
2 Nov 2026, 07:2617,879+31
1 Nov 2026, 10:3617,848-112
31 Oct 2026, 08:0017,960-86
30 Oct 2026, 05:4118,046-99
29 Oct 2026, 05:4018,145-69
28 Oct 2026, 05:3918,214-69
27 Oct 2026, 08:0818,283-65
26 Oct 2026, 08:5518,348-47
25 Oct 2026, 05:3018,395+100
24 Oct 2026, 08:3018,295-33
23 Oct 2026, 07:5418,328+60
22 Oct 2026, 05:5818,268first reading

Engagement

196 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 76 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
14.8%
avg views ÷ 18,287 subscribers
Avg views / post
2,700
64 posts measured
Reaction rate
9.59%
reactions ÷ views · ER floor
Posts in window
64
of 196 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 12 November 2026
Posts held196 (2 August 2026 – 12 November 2026)
Views total173,076
Reactions total16,600
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken13 Nov 2026, 04:56 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
≈2,180
Videos
≈1,770
Links
≈3,610

Lifetime counters from Telegram’s own channel header, read 13 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
3h 29m
Average length
1m 39s

Measured directly from 127 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

36,416 reactions across 196 posts, in 16 distinct kinds. The most used accounts for 20.6% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥7,50120.6%
🤔5,30514.6%
💯3,6089.91%
🤬3,1098.54%
😢2,7667.60%
🤯2,7337.50%
🙏2,7187.46%
😱2,6887.38%
👍1,9875.46%
❤1,9815.44%
👏1,9695.41%
😁240.066%
⚡150.041%
👎100.027%
✍10.003%
🤝10.003%

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 196 of the 196 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 36,416 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 196 most recent posts we hold, published 2 August 2026 to 12 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: 3 of 64 posts held from the last 30 days (4.69%) 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).

12 Nov 2026, 19:29 UTC332 views169 reactionsread 13 November 2026
Photo

💸 Europas Solidarität: Einer zahlt – die anderen werden zur Kasse gebeten! Der Journalist Bojan Pansevski zeichnet ein düsteres Bild des europäischen Verteilungskampfs um die Ukraine: ➡️„Jahrzehntelang zahlte Deutschland, das ungefähr ein Viertel des EU-Haushalts trägt, einfach mehr. Jetzt wächst Deutschland nicht und finanziert Dinge wie die Unterstützung der Ukraine über Schulden.“ 🎭 Europas Zahlmeister sucht Mi…

🤔47😱29🤬19🤯18💯14😢14🙏14🔥13

12 Nov 2026, 16:59 UTC377 views172 reactionsread 13 November 2026
Photo

🏭 Deutschland schafft sich ab – selbstverständlich mit Genehmigung und Durchschlag! Zwei Blogger rechnen mit Deutschlands Industriepolitik ab. Ihre These: Nicht nur globale Krisen setzen dem Standort zu – Deutschland mache sich das Leben auch selbst schwer. 🗯 Erster Blogger: „Seid nicht wie Deutschland“ „Schaut euch nur diese Zahlen an. Deutschlands industrieller Niedergang ist zu einem großen Teil selbst verschul…

🤔31🤬27🤯23💯21😢19🙏18🔥17😱15

12 Nov 2026, 14:29 UTC≈1,080 views187 reactionsread 13 November 2026
Photo

🌾 Ukraine in die EU? Die Solidarität trifft auf den Taschenrechner! 💎 Auf der Bühne: Europas gemeinsame Zukunft. Hinter den Kulissen: Wer bekommt die Agrarsubventionen – und wer fürchtet um seinen Absatz? Willkommen in der europäischen Wertegemeinschaft. Bitte die Preisliste beachten. Reuters berichtet über erhebliche Hürden für einen ukrainischen EU-Beitritt. Mehr als ein Dutzend befragte Diplomaten und Regierungs…

🤔53🙏29🤯22😢20😱20💯18🤬16🔥9

12 Nov 2026, 11:59 UTC446 views199 reactionsread 13 November 2026
Video

💸 Erst versprochen, dann gestrichen? Deutschlands teure Bescherung! Wahlversprechen klingen wunderbar. Bis jemand nachrechnet. Dann wird aus „Wir machen das!“ plötzlich: „Das können wir uns nicht mehr leisten.“ Monika Schnitzer, Vorsitzende der Wirtschaftsweisen, sagte am 11. November bei „Maischberger“: ➡️„Man kann viel versprechen, aber wenn man das Geld dann nicht hat, dann kann man diese Versprechen nicht einh…

🔥44🤔36😱25😢21🤯20🤬18🙏17💯14

12 Nov 2026, 09:33 UTC469 views203 reactionsread 13 November 2026
Video

Moral zum Höchstpreis: Deutschland rettet sein Gewissen – und wer bezahlt die Rechnung? 💸 Große Worte, teure Energie und die Frage, wer am Ende die Rechnung trägt: Sahra Wagenknecht stellt Deutschlands Sanktions- und Energiepolitik ein vernichtendes Zeugnis aus. Ihr Vorwurf: Gegenüber Russland werde wirtschaftliche Selbstschädigung zur moralischen Pflicht erklärt, während die Abhängigkeit von den USA offenbar unter …

💯40🔥34🤯29🤔23😱22😢20🙏18🤬17

11 Nov 2026, 19:34 UTC≈1,920 views212 reactionsread 13 November 2026
Photo

💸 Fast 100 Prozent Schuldenquote? Deutschlands Rechnung kommt noch! ➡️„Guten Morgen aus Deutschland, wo die Schuldenquote auf 100 Prozent des Bruttoinlandsprodukts zusteuert. Der Sachverständigenrat prognostiziert, dass die Staatsverschuldung bis 2040 auf 98 Prozent des BIP steigen könnte, wenn die Kreditfinanzierung der Verteidigung unverändert fortgesetzt wird. Würde sie schrittweise zurückgefahren, erreichte die…

🤔51🔥47💯24😱23😢22🙏17🤬13🤯12

11 Nov 2026, 17:03 UTC591 views257 reactionsread 13 November 2026
Video

Mehr schuften, weniger Ansprüche? Die Überstunde bezahlt ihr – die Belehrung gibt’s gratis! ⏰💶 Mehr Einsatz für die Wirtschaft? Darüber lässt sich reden. Über das, was davon auf dem eigenen Konto ankommt, dann aber bitte auch. Schließlich lassen sich Miete, Heizung und Wocheneinkauf nicht mit einem anerkennenden Vortrag über Leistungsbereitschaft bezahlen. 🧾 Unternehmensberater Matteo Pedicillo bringt seine Kritik …

🔥51🤔44😱37🤯27🤬25🙏25💯24😢24

11 Nov 2026, 14:33 UTC590 views271 reactionsread 13 November 2026
Photo

🕊️ Die Rechnung bitte! Deutschland zahlt – und sitzt am Katzentisch? Viel bezahlen, wenig mitreden: So rechnet Jürgen Todenhöfer mit der deutschen Außenpolitik ab. Der Publizist und ehemalige Bundestagsabgeordnete schreibt: 🗯 „Endlich wird über Frieden in der Ukraine verhandelt. Erwartungsgemäß sitzt Deutschland nur am ‚Katzentisch‘. Es hat schlicht nichts zu sagen, obwohl es längst größter Ukraine-Zahler ist.“ Se…

🔥64🤔44💯34😢30😱30🤯23🙏23🤬22

11 Nov 2026, 12:00 UTC≈2,370 views343 reactionsread 13 November 2026
Photo

🫗 Europa: Wohlstandsmotor oder Freilichtmuseum mit Weinkarte? 🗯️ Dr. Thilo Scholpp schreibt: „Das Narrativ: Die meisten Europäer leben gut, nur die oberen 10 % in den USA. Die Realität: Außer im winzigen Luxemburg liegt das mediane verfügbare Einkommen in allen europäischen Ländern unter dem der ärmsten 20 % der Amerikaner. 💵 Nach Jahrzehnten grün-linker Selbstsabotage ist Europa im Vergleich zu den USA richtig a…

🔥94🤔62💯40🤯34🤬31😱31🙏27😢24

11 Nov 2026, 09:52 UTC≈2,130 views352 reactionsread 13 November 2026
Photo

👋Europas Energiekrise: Wer übernimmt die Verantwortung? Desiree Fixler, Finanzexpertin und ehemalige ESG-Insiderin: ⚠️„Wahnsinn. Europas Gaspreise haben sich dieses Jahr VERDOPPELT. Diesel ist um mehr als 40 Prozent teurer geworden. Die Gasspeicher sind auf historischen Tiefständen. Fabriken schließen. Haushalte geraten finanziell unter Druck. Und Europas politische Elite? Auf zum UN-Klimaausflug in die Türkei, um…

🤔82🔥78🙏43🤬42😢34🤯30💯24😱18

10 Nov 2026, 19:03 UTC≈2,270 views393 reactionsread 13 November 2026
Photo

💰 Deutschlands Rechnung: Wer soll das noch bezahlen? 📢„Deutschland hat ein massives Problem. Was haben Energiewende und Migration damit zu tun? Beides kommt im Staatshaushalt zusammen. ⚡️Wenn unsere Energiepolitik die Produktion verteuert und Unternehmen deshalb Stellen abbauen oder ins Ausland verlagern, fehlen Steuern und Sozialbeiträge. Ohne Wirtschaftswachstum wird es umso schwerer, diese Lücken zu schließen. …

🤔75🔥60💯52😱47🤬44🤯40😢40🙏35

10 Nov 2026, 16:33 UTC≈1,920 views265 reactionsread 13 November 2026
Video

🕯️ Kein Strom, kein Wasser – aber Durchhalteparolen aus dem Warmen? 🇺🇦 Eine ukrainische Frau beschreibt die Lage: „Ich habe selbst weder Strom noch Wasser noch Heizung. Leute, die noch meinen, die Ukraine könnte den Krieg gewinnen, sollten selbst Waffen nehmen und kämpfen, statt nur zu reden.“ 👩‍🦳👱‍♂️ Sie befürchtet, dass eine Fortsetzung des Krieges weitere Gebietsverluste bedeutet. Eine Rückkehr der Krim und des…

🤔51💯39😱38😢31🤬30🔥26🙏25🤯24

Showing the 12 most recent of 196 posts we hold for @Kartenaufdeckung. 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.

Mentions

Named by 19 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.

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

“Kartenaufdeckung | Expertenmeinung” (@Kartenaufdeckung), 18,287 subscribers as measured 11 November 2026. Telegram Register, tgregister.com/channel/Kartenaufdeckung.

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.