WOW! Präsident Trump teilte gerade gegen Big Pharma aus und zerreißt sie dafür, bis zu 72 Impfstoffe in Kinder zu pumpen „Wir werden jetzt nur noch 20 % davon pro Besuch verabreichen, und wir werden Zeit verstreichen lassen, damit der Körper die massive Menge an Flüssigkeit, die eingepumpt wird, bewältigen kann!“ https://t.me/danijelsheran

Channel
Birgit LaQua
@birgitlaqua
On this record: Growth · Engagement · What this channel posts · Posts · Citations · Cite this entry
6subscribers
+0 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
Register entry
| Telegram ID | -1001221621344 |
|---|---|
| Type | Channel |
| Username | @birgitlaqua |
| Description | Buchautorin von "Schogul, Rächer der Tiere" |
| Created | Between 1 April 2018 and 30 June 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 12 August 2026 |
| Last confirmed live | 12 August 2026 |
| Measurements held | 2 |
| On Telegram | t.me/birgitlaqua |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 12 Aug 2026, 20:31 | 6 | no change |
| 7 Aug 2026, 10:31 | 6 | first reading |
Engagement
15 posts held, back to 1 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 1 pageof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 33.3%
- avg views ÷ 6 subscribers
- Avg views / post
- 2.0
- 15 posts measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 15
- of 15 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.
| Window | Rolling 30 days · latest post in window 11 August 2026 |
|---|---|
| Posts held | 15 (1 August 2026 – 11 August 2026) |
| Views total | 30 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 12 Aug 2026, 20:31 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
- ≈4,850
- Videos
- ≈1,730
- Links
- ≈3,870
Lifetime counters from Telegram’s own channel header, read 12 August 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
- 13m 04s
Measured directly from 7 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.
Recent posts
https://www.instagram.com/reel/Db3TWsmvuy2/?igsh=N3RkZ2QxaTF5OGg5 Grossartige Recherche - interesting facts! Sonnencreme & Sonnenbrille sind schädlich. Das eine wegen den Inhaltsstoffen und weil es die Sonne blockt, das andere weil das Gehirn denkt es ist dunkel (Abend) und fährt den Hautschutz runter. Seine Recherche ist krass. Dazu die Schadstoffe die die Menschen ins Meer und in die Seen bringen! Eine Sch…
Peter Pan gilt als harmlose Kindergeschichte über einen Jungen, der niemals erwachsen wird. Nimmerland, Feenstaub, Abenteuer und ein Bösewicht mit Hakenhand. So kennen wir die Geschichte seit unserer Kindheit. Doch was, wenn Peter nicht der Held und Hook nicht der eigentliche Bösewicht ist? Was, wenn hinter Begriffen wie „niemals erwachsen werden“, den verlorenen Jungen und dem ständig tickenden Krokodil eine ganz a…
The Pied Piper of Hamelin isn’t just a fairy tale. In 1284, 130 children really disappeared from the German town of Hamelin. Join:➡️LOST & FORBIDDEN 🏰
Der Rattenfänger von Hameln ist nicht nur ein Märchen. Im Jahr 1284 verschwanden tatsächlich 130 Kinder aus der deutschen Stadt Hameln 👇
🚨 LEBENDIG ERNTEN – Minister Kennedy erklärt den Krieg den US-Krankenhäusern, die Organentnahmen an lebenden Patienten durchführen: „Das ist entsetzlich – und es endet jetzt.“ [VIDEO] 🔥 Ein nationaler Skandal bricht aus: Minister Kennedy entlarvt US-Krankenhäuser, die Organe von Patienten ernten, die noch Lebenszeichen zeigen. Die Bundesregierung startet umfassende Untersuchungen, Entzertifizierungen und eine Säuber…
2026-08-05_Carsten und Wahrheitsjägerː GrenzWertiges der Wahrheitsjäger https://t.me/Wahrheits_jaeger https://t.me/SC360Media
✨⚡️💫⚡️✨ DER AUFSTIEG DER ERDE. GENE DECODE – AKTUELLE INFORMATIONEN. ◾️ Juan O Savin war seit der Reagan-Regierung ein „White Hat“. (Ich füge diese Anmerkung ein, um zu verdeutlichen, dass sich hinter der Maske von Juan O Savin John Perry Barlow verbirgt – ein bekannter Schriftsteller und Philosoph, Mentor und enger Freund von JFK Jr., der 2018 seinen Tod vorgetäuscht hat. Und er ist eines der acht Mitglieder des Q…
✨⚡️💫⚡️✨ 🪄👇👇👇
Der Blick von aussen. t.me/Q_Faktor_Germany
Der Ministerpräsident von Spanien, Pedro Sánchez: "Die Einwanderer, die nach Ceuta kommen, sind Frauen und Kinder, von denen viele unterernährt sind." Hier sind sind sie, die unterernährten Frauen und Kinder: https://x.com/Anonymous_TA/status/2082741936679469542 Übersetzung: Dirk Dietrich https://t.me/DDDDoffiziell
Völliger Blödsinn 😅 Zudem hab ich ein Video gesehen, wo die abends von bewaffnetem Militär wieder zurückgeschickt wurden. Die gingen auch ganz brav, nachdem ein paar wahrscheinlich erschossen wurden...
Showing the 12 most recent of 15 posts we hold for @birgitlaqua. 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
Republishes
Channels on the register whose posts this channel has forwarded.
@QPLUSPLUSPLUS · 52,7924 postsDanijel_Sheran17 ✨
@danijelsheran · 22,2801 postDirk Dietrich
@DDDDoffiziell · 55,9161 postKateBonoAwake
@KateBono · 27,3921 postMed Betten (Quantum beds Germany) Kanal 🇩🇪
@Med_Beds · 24,7251 post🦁 17News17 🐸♟️ LQVE❤️🔥💎
@News1717 · 10,5411 postQ-Faktor Germany News - Die Echtzeit Analyse - Das Original
@Q_Faktor_Germany · 33,5141 postWahrheitsjäger
@Wahrheits_jaeger · 83,4421 post
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
Names
Channels on the register whose handles appear in this channel's posts.
@AUFSTIEG5DOFFIZIELL · 16,4263 posts⚡️Q+++⚡️
@QPLUSPLUSPLUS · 52,7923 postsDanijel_Sheran17 ✨
@danijelsheran · 22,2801 postDirk Dietrich
@DDDDoffiziell · 55,9161 postKateBonoAwake
@KateBono · 27,3921 postMed Betten (Quantum beds Germany) Kanal 🇩🇪
@Med_Beds · 24,7251 postMedBeds Technology
@MedBedsTechnologyNews · 76,7211 post🦁 17News17 🐸♟️ LQVE❤️🔥💎
@News1717 · 10,5411 postQ-Faktor Germany News - Die Echtzeit Analyse - Das Original
@Q_Faktor_Germany · 33,5141 postWahrheitsjäger
@Wahrheits_jaeger · 83,4421 post
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 12 August 2026 — this entry's latest reading, not the date you are reading this.
“Birgit LaQua” (@birgitlaqua), 6 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/birgitlaqua.
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.