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Channel

We are FREE 🇩🇪

@WE_R_FREE

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

16,569subscribers

-535 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-1001217716282
TypeChannel
Username@WE_R_FREE
Created5 May 2019 — measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live12 November 2026
Measurements held65
Confirmed unchanged1 time, most recently 12 November 2026
On Telegramt.me/WE_R_FREE

Topic

Other / unclassifiable — 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 91% 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 12 other registered channels. This entry also sits inside a group of 157 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.

Matching posts — open both and compare (6 of the pairs behind the counts below)
Posted firstThenOverlapGap
@QlobalChange/3090128 Aug 2026, 03:31 UTC@WE_R_FREE/89793 · this entry28 Aug 2026, 12:44 UTC1.009.2 hours
@QlobalChange/3090828 Aug 2026, 17:39 UTC@WE_R_FREE/89801 · this entry29 Aug 2026, 06:58 UTC1.0013 hours
@QlobalChange/309301 Sept 2026, 14:27 UTC@WE_R_FREE/89823 · this entry1 Sept 2026, 16:52 UTC1.002.4 hours
@QlobalChange/309351 Sept 2026, 16:06 UTC@WE_R_FREE/89826 · this entry1 Sept 2026, 16:52 UTC1.0046 minutes
@QlobalChange/309361 Sept 2026, 17:44 UTC@WE_R_FREE/89829 · this entry2 Sept 2026, 07:50 UTC1.0014 hours
@QlobalChange/309392 Sept 2026, 03:51 UTC@WE_R_FREE/89832 · this entry2 Sept 2026, 07:50 UTC1.004.0 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
@QlobalChange67 (8/8 hand-verifiable sample passed)1.004.5 hours@QlobalChange (66–1)
@AugenAufMA33 (8/8 hand-verifiable sample passed)1.007.4 hours@AugenAufMA (33–0)
@auf1tv25 (8/8 hand-verifiable sample passed)1.004.7 hours@auf1tv (24–1)
@FreieMedienTV24 (8/8 hand-verifiable sample passed)1.009.8 hours@FreieMedienTV (18–6)
@VideoTranslateProjects18 (8/8 hand-verifiable sample passed)1.0012 hours@VideoTranslateProjects (18–0)
@DDDDoffiziell25 (8/8 hand-verifiable sample passed)1.006.4 hours@DDDDoffiziell (25–0)
@Verbotene_Historie11 (8/8 hand-verifiable sample passed)1.0018 hours@Verbotene_Historie (11–0)
@acTVismMunich9 (8/8 hand-verifiable sample passed)1.003 days@acTVismMunich (9–0)
@danijelsheran15 (8/8 hand-verifiable sample passed)1.004.0 hours@danijelsheran (10–5)
@maeklegutelaune8 (8/8 hand-verifiable sample passed)1.003.1 hours@maeklegutelaune (5–3)
@oliverjanich7 (7/7 hand-verifiable sample passed)0.995.0 hours@oliverjanich (5–2)
@analytik_news6 (6/6 hand-verifiable sample passed)1.003 days@analytik_news (4–2)

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. 249 of the 252 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 248 comparable posts for this entry, running 30 July 2026 to 11 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 157 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 keys clone_copy · clone_mutual, last confirmed 12 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 157 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
102,727 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
70,188 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
50,038 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
39,843 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
JENS LEHRICH
@jenslehrich1 · Channel
33,089 subscribers
Snicklink unzensiert
@snicklink3000 · Channel
33,005 subscribers
Amazing Facts💡
@amazingfacts4 · Channel
32,557 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
Thomas Eglinski Info-Kanal
@infothomaseglinski1 · Channel
19,975 subscribers

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

Growth

16,56917,10416,836.56 August 202612 November 2026
65 measurements spanning 98 days, net -535. 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 16,489–17,184 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 65
Measured (UTC)SubscribersChange
12 Nov 2026, 06:2816,569-20
10 Nov 2026, 04:1016,589-15
8 Nov 2026, 14:5716,604-10
7 Nov 2026, 09:1616,614-5
6 Nov 2026, 08:4616,619-5
5 Nov 2026, 10:1416,624-6
4 Nov 2026, 09:5916,630-4
3 Nov 2026, 07:3616,634-5
2 Nov 2026, 08:3516,639-8
1 Nov 2026, 10:3716,647-7
31 Oct 2026, 07:4616,654-12
30 Oct 2026, 07:0616,666-7
29 Oct 2026, 09:5616,673-5
28 Oct 2026, 10:1916,678-6
27 Oct 2026, 13:3016,684-4
26 Oct 2026, 16:5416,688-6
25 Oct 2026, 18:1016,694-5
24 Oct 2026, 17:3016,699-8
23 Oct 2026, 16:0616,707-6
22 Oct 2026, 13:5116,713first reading

Engagement

268 posts held, back to 30 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 73 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
5.78%
avg views ÷ 16,569 subscribers
Avg views / post
958
104 posts measured
Reaction rate
0.658%
reactions ÷ views · ER floor
Posts in window
104
of 268 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. It is computed over the 74 of 104 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 11 November 2026
Posts held268 (30 July 2026 – 11 November 2026)
Views total99,588
Reactions total479
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Nov 2026, 06:17 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

Video runtime
25h 09m
Average length
16m 35s

Measured directly from 91 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

1,970 reactions across 221 posts, in 18 distinct kinds. The most used accounts for 31.2% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤61531.2%
👍49024.9%
🤬1799.09%
🤮1427.21%
👎1266.40%
🔥1196.04%
😁804.06%
👏753.81%
💯492.49%
🤔351.78%
😢170.863%
🙏170.863%
🕊120.609%
🤩60.305%
🎉50.254%
⚡10.051%
❤‍🔥10.051%
😍10.051%

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 227 of the 268 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 1,970 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 268 most recent posts we hold, published 30 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.

Advertising

Ad load
0.373%
1 of 268 posts carry an ad marker
Regulatory tokens
1
posts carrying an erid · 1 distinct token
Median views · ads
1,080
over 1 measured post
Median views · rest
1,220
over 267 measured posts

An ad marker, not a judgement about a post. A post is counted here because it carries one of two explicit markings: an erid token, which Russian law has required on paid placements since 2022 and which is issued against a specific advertising contract, or a #реклама / #ad hashtag in the body, which is the channel declaring it itself. The first is documentary; the second is a self-declaration and is weaker. No classifier reads the text and decides — nothing on this site guesses that a post is an advertisement.

This is a floor, and it can only ever be a floor. A channel that runs paid placements without marking them produces no marker for us to count, and an unmarked ad is indistinguishable from an ordinary post on the public surface. The ad load above therefore means “the share of posts that declared themselves”, never “the share of posts that were paid for”. A low figure is not evidence of a channel that runs few ads.

Both figures are medians, and no ratio between them is published. Each is a view reading that actually occurred on a post, picked by percentile_disc rather than averaged, so one viral post cannot move it and no interpolated value is invented between two readings. The sample on one side is under five posts, which is too thin to compare. The two figures are shown side by side with the count behind each, and deliberately not divided into a headline like “ads get x% fewer views” — an arithmetic that is easy to print and, at this sample size, means nothing.

Advertising tokens recorded on this entry
eridPostsFirst seenLast seen
eologischen129 August 202629 August 2026

A token repeated across several posts is one advertising contract placed more than once, which is what the identifier is for. The strings are reproduced exactly as they appeared in the post or in its click-through URL and are not validated against any registry — we record the marker a channel published, and whether it resolves to a real contract is a question for the register that issued it.

Measured over the 268 most recent posts we hold, published 30 July 2026 to 11 November 2026. Views are the latest single reading held for each post, and any reading at or above 1,000 is rounded by Telegram to three significant figures.

Recent posts

Telegram’s own ‘edited’ marker: 2 of 104 posts held from the last 30 days (1.92%) 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).

11 Nov 2026, 18:08 UTC809 views1 reactionsread 12 November 2026
Video

Russland und die Ukraine sind in Abu Dhabi zu Dreiergesprächen mit den USA eingetroffen. Trump sieht nach dem Treffen mit Katars Regierungschef eine „positive Dynamik“ im Iran-Konflikt. Kanzler Merz empfängt Ungarns Premier Magyar. https://thegreatgamemaps.com

👍1

11 Nov 2026, 17:44 UTC806 viewsread 12 November 2026
Video

🔥👉 Die Wahrheit über Medbeds – und warum die echte Technologie schon verfügbar ist Jonathan Otto trennt in diesem Video klar Mythos von Realität: Die Kerntechnologie hinter den sogenannten Medbeds – Photobiomodulation (rotes & nahinfrarotes Licht) + PEMF – existiert bereits und wird durch hunderte Studien gestützt. Diese Lichtwellenlängen können tief in den Körper eindringen und die natürlichen Regenerationsprozess…

11 Nov 2026, 17:43 UTC695 viewsread 12 November 2026
Photo

Experte im Prozess zur „Nord Stream“ bestätigt – für die Sprengung waren Profis nötig Im Prozess in Hamburg berichtete laut NDR ein Experte der Bundeswehr, ein Taucher-Sprengmeister, wie ukrainische Diversanten Sprengstoff auf einer Tiefe von bis zu 80 Metern an den „Nord Stream“-Pipelines hätten anbringen können. Seiner Aussage zufolge waren dafür Vollprofis und sehr viel Ausrüstung erforderlich. Der Prozess gegen …

11 Nov 2026, 17:42 UTC603 views2 reactionsread 12 November 2026

🎥🎼 Moon - 11.11.2026 👁 Biocomputing kommt … und es ist schlimmer als KI "MOON befasst sich mit der Entwicklung des Biocomputing, bei dem menschliche Neuronen mit Hardware kombiniert werden, um neue Formen künstlicher Intelligenz zu schaffen. Der Dokumentarfilm beleuchtet die technologischen Möglichkeiten, die energetischen Vorteile der biologischen Datenverarbeitung sowie die tiefgreifenden ethischen Fragen im Zusa…

❤2

11 Nov 2026, 17:41 UTC586 viewsread 12 November 2026

‼️Die NACHRICHTEN AUF1 sind da‼️ ▶️ https://auf1.tv/nachrichten-auf1/nachrichten-auf1-vom-11-november-2026 🔷 Zwei Tage lang haben Russland, die Ukraine und die USA verhandelt. Doch offenbar sind die Friedensgespräche gescheitert. Und nicht nur das: Möglicherweise hat eine ominöse Hackergruppe, deren Mitglieder überwiegend im westlichen Ausland leben, einen Kompromiss regelrecht torpediert. Damit nicht genug: Der slo…

11 Nov 2026, 17:40 UTC602 views6 reactionsread 12 November 2026
Photo

Wahl des Bundespräsidenten:💥Sogar die ARD rügt Aigners Absage an die AfD! Ilse Aigner, die Unionskandidatin für das Bundespräsidentenamt, hat sich am Dienstag im Bundestag lediglich den Fraktionen von CDU/CSU, SPD und Grünen vorgestellt. Die Einladung der AfD schlug sie aus. Ihr Stabschef begründete das mit einem Beitrag von Beatrix von Storch. Die AfD-Fraktionsvizin schrieb auf X: „Was Ilse Aigner für das Amt des …

❤3👍3

11 Nov 2026, 16:07 UTC688 viewsread 12 November 2026
Photo

https://www.youtube.com/watch?v=wt7Zso3LVOQ KI bewusst – Vorlesung 3 von 12: Sprache als Werkzeug statt Gespräch. Was wir eigentlich tun, wenn wir einer Maschine schreiben. https://kibewusst.com

11 Nov 2026, 15:04 UTC755 views2 reactionsread 12 November 2026
Photo

🔬✨OPTIMALE FREQUENZEN FÜR HÄUFIGE GESUNDHEITLICHE BESCHWERDEN Alphabetisch nach Beschwerden und Symptomen geordnet – mit idealen Frequenzbereichen (Hz) Nachfolgend finden Sie eine kuratierte Übersicht von Frequenzen, die in der Frequenztherapie sowie in MedBed-ähnlichen Heiltechnologien Anwendung finden 🌿⚡️ Jede Beschwerde wird ihrem effektivsten Schwingungsbereich zugeordnet – entschlüsselt aus jahrzehntelanger, we…

❤2

11 Nov 2026, 14:58 UTC727 views3 reactionsread 12 November 2026
Photo

🚨 ACHTUNG! Wissen Sie wirklich, was Sie Ihrer Familie zu essen geben? 🍬 Süßigkeiten, Joghurts, Fertiggerichte, Getränke … Überall finden sich kleine E-Nummern auf den Verpackungen. E102, E110, E171, E330 … Die meisten Menschen lesen sie nicht einmal. ⚠️ Doch wussten Sie, dass bestimmte Farbstoffe in der EU besondere Warnhinweise benötigen? Und dass E171 als Lebensmittelzusatzstoff inzwischen verboten ist? Was b…

❤3

11 Nov 2026, 14:58 UTC709 views4 reactionsread 12 November 2026
Photo

Stresstest Wenn sich nichts bewegt: Es geht dir gut! Wenn es sich langsam dreht: Du bist angespannt. Wenn es sich schnell bewegt: Du bist gestresst. — Thomas Berger Abonniere und entdecke mehr: @Verborgene_Geschichte

❤2👍2

11 Nov 2026, 14:58 UTC685 viewsread 12 November 2026
Photo

Die besten Bibliotheken der Welt: 1. München 2. Rio de Janeiro 3. Porto 4. Venedig 5. Dublin 6. Edinburgh 7. Tianjin 8. Görlitz 9. Amsterdam 10. Zhongshuge — Thomas Berger Abonniere und entdecke mehr: @Verborgene_Geschichte

10 Nov 2026, 20:49 UTC640 views4 reactionsread 11 November 2026

Wir leben in krassen Zeiten, wirtschaftlich, politisch und auch privat..... Hier ein mega interessantes Interview mit dem Mann, der den Dotcom-Crash und den Immobiliencrash von 2007 vorhergesagt hat der sagt, dass dieser Markt noch überbewerteter ist als beide – und dass die Wall Street das niemals zugeben wird. Jeremy Grantham, Mitgründer von GMO und einer der angesehensten institutionellen Investoren der Welt, leg…

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Showing the 12 most recent of 268 posts we hold for @WE_R_FREE. 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 18 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.

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.

Wissen ist Macht offiziell
@wissenistmacht1 · 32,987
Telegram ranks this channel #16 of 73 here — alongside 72 others — read 4 September 2026
Unabhängige Nachrichten
@nachrichtenportal · 25,541
Telegram ranks this channel #22 of 69 here — alongside 68 others — read 13 September 2026
Q-Faktor Germany News - Die Echtzeit Analyse - Das Original ©
@Q_Faktor_Germany · 33,631
Telegram ranks this channel #22 of 66 here — alongside 65 others — read 4 September 2026
MICHAEL WENDLER 🚨 & TEAM
@michaelwendlerlive · 39,776
Telegram ranks this channel #26 of 69 here — alongside 68 others — read 29 August 2026
[ℂ𝕠𝕟𝕤𝕡𝕚𝕣𝕒𝕔𝕪𝕟𝕖𝕨𝕤𝕣𝕠𝕠𝕞]
@CNconspiracynewsroom · 26,430
Telegram ranks this channel #33 of 69 here — alongside 68 others — read 11 September 2026
GlobalPatriots
@globalpatriots · 26,802
Telegram ranks this channel #33 of 76 here — alongside 75 others — read 11 September 2026
💣𝐓𝐈𝐐 𝐓𝐎𝐐 𝐁𝐐𝐐𝐌𝐒💣
@TiQToQBQQms · 19,342
Telegram ranks this channel #38 of 69 here — alongside 68 others — read 1 October 2026
CheckMateNews ♟
@CheckMateNews · 60,258
Telegram ranks this channel #38 of 77 here — alongside 76 others — read 22 August 2026
anonymousnews.org
@anonymousnews_org · 68,668
Telegram ranks this channel #38 of 84 here — alongside 83 others — read 20 August 2026
🚨Unzensiert V2🚨
@UnzensiertV2 · 67,450
Telegram ranks this channel #41 of 72 here — alongside 71 others — read 20 August 2026
Nichts Neues unter der Sonne
@Xavier_Naidoo · 35,675
Telegram ranks this channel #43 of 65 here — alongside 64 others — read 2 September 2026
ALLES ÜBER DIE NWO, WHO, WEF, UN, EU, GREAT RESET, CO2 KLIMAWANDELLÜGE, CORONA PLANDEMIE
@horst250936 · 24,820
Telegram ranks this channel #44 of 69 here — alongside 68 others — read 14 September 2026
Sara Bennett Lightfight
@saraslightfight · 56,436
Telegram ranks this channel #45 of 76 here — alongside 75 others — read 23 August 2026
Klartext20/21-Gemeinsam 👍🏻Info-kanal🔝🖤🤍❤️
@Klartext2021Gemeinsam · 63,146
Telegram ranks this channel #46 of 76 here — alongside 75 others — read 21 August 2026
💎🧬The Final Awakening [Follow only your Soul♾️]
@TheFinalAwakening · 19,877
Telegram ranks this channel #49 of 68 here — alongside 67 others — read 28 September 2026
TECHNIKUS🇦🇹NEWS🇩🇪
@technikus_news · 25,920
Telegram ranks this channel #49 of 75 here — alongside 74 others — read 13 September 2026
Folge dem Plan
@Folgedemplan · 30,519
Telegram ranks this channel #51 of 71 here — alongside 70 others — read 24 September 2026
Gute Nachrichten & Vibes
@GuteNachrichtenNews · 42,941
Telegram ranks this channel #52 of 74 here — alongside 73 others — read 28 August 2026
Qlobal-Change 🫂
@QlobalChange · 91,935
Telegram ranks this channel #52 of 82 here — alongside 81 others — read 16 August 2026
💥Booom Aktuell💥Austausch über das aktuelle Weltgeschehen...🌍
@booomaktuell · 32,956
Telegram ranks this channel #58 of 71 here — alongside 70 others — read 3 September 2026
Sirius 🌕 Das Christus-Bewusstsein
@AramaicChristus · 25,995
Telegram ranks this channel #59 of 59 here — alongside 58 others — read 13 September 2026
🌐 Nachrichtenwelt
@Nachrichtenwelt · 28,815
Telegram ranks this channel #59 of 81 here — alongside 80 others — read 8 September 2026
RABBIT RESEARCH
@rabbitresearch · 81,778
Telegram ranks this channel #60 of 82 here — alongside 81 others — read 18 August 2026
YGDRASOUL
@YGDRASOUL · 42,994
Telegram ranks this channel #63 of 68 here — alongside 67 others — read 28 August 2026

This channel appears in 26 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. Each is Telegram’s list for THAT channel, not this one — see how this is measured.

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

“We are FREE 🇩🇪” (@WE_R_FREE), 16,569 subscribers as measured 12 November 2026. Telegram Register, tgregister.com/channel/WE_R_FREE.

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.