.........bis heute....❗️ Deutschland ist ein Problem für die weltführenden Machthaber Dieser Film zeigt wie die Deutschen schon immer erniedrigt wurden. Beide Weltkriege wurden gegen das deutsche Volk geführt. Der Plan war und ist immer noch, den letzten Deutschen von der Erdoberfläche zu entfernen. Grund war der Fleiß und Anständigkeit des deutschen Volkes! Das war schon immer die Gefahr, da so ein Volk durch ihre…

Channel
💖Herzenssache💖
@Herzenssache
On this record: Growth · Engagement · What this channel posts · Posts · Citations · Cite this entry
1subscribers
+0 since we began measuring on 8 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
Register entry
| Telegram ID | -1001827669880 |
|---|---|
| Type | Channel |
| Username | @Herzenssache |
| Created | Between 1 October 2022 and 30 September 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 14 August 2026 |
| Last confirmed live | 15 August 2026 |
| Measurements held | 2 |
| On Telegram | t.me/Herzenssache |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 14 Aug 2026, 22:01 | 1 | no change |
| 8 Aug 2026, 00:28 | 1 | first reading |
Engagement
20 posts held, back to 26 April 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
- 100.0%
- avg views ÷ 1 subscribers
- Avg views / post
- 1.0
- 3 posts measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 3
- of 20 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 1 August 2026 |
|---|---|
| Posts held | 20 (26 April 2026 – 1 August 2026) |
| Views total | 3 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 14 Aug 2026, 22:01 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
- 198
- Videos
- 464
- Links
- 545
Lifetime counters from Telegram’s own channel header, read 14 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
- Video runtime
- 1h 45m
- Average length
- 8m 09s
Measured directly from 13 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
📌📌📌 Böses Blut Ein bislang nicht hinterfragtes Dogma der Schulmedizin gibt erschütternde Erkenntnisse preis. ☀️🍷🍿 Lust auf Gute Laune? ♟️🐇📕 Lust auf Wissen?
Große Studie beweist: Shedding – so krank werden wir wirklich! https://youtube.com/watch?v=9KQP2rVSXNk&is=o-4DVifHQuCZ5wQU
https://t.me/MatrixPowerQuantenheilung/2629
Hört genau zu, was diese Dame in diesem sogenannten Europaparlament sagt!
https://uncutnews.ch/im-covid-19-impfstoff-von-pfizer-wurden-mikrochipaehnliche-parasitenaehnliche-und-selbstorganisierende-nanotechnologie-strukturen-gefunden/
HAMMERMELDUNG Wolfgang Wodarg auf X: Weshalb ist bei gleicher Spritzenzahl die Übersterblichkeit in Deutschland sehr hoch und beim neuen NATO-Mitglied Schweden gleich null? Die Spritzen-Pandemie war ein gezieltes und international verabredetes gentechnischen Massenexperiment mit Hilfe des Militärs. Was wir von Anfang an gesehen und vermutet haben, wurde jetzt durch ein interdisziplinäres Team in den USA bestätigt …
Angus Dalgleish ist Professor für Onkologie an der St George’s University of London. Er gilt als einer der renommiertesten Krebsforscher weltweit und hat Hunderte wissenschaftliche Publikationen in renommierten Fachzeitschriften (Nature, Science, Cell u. a.) veröffentlicht: „mRNA-Impfstoffe verursachen Turbo-Krebs.“ In einem heute veröffentlichten Gespräch mit Flavio Pasquino erklärt Dalgleish, warum er sagt: „Das…
Chemtrails Tägliche chemische Mischung Verursacher 99,99 % menschlicher Krankheiten 🦋 Inspirieren | 💝 Teilen 💦 🌕 t.me/AramaicChristus 💫
@unzensiert_infoseite Was sagt die KI Menschen, die wählen gehen und die Hoffnung in die AfD setzen? Video-Link @unzensiert / @unzensiertV2
Medizingeschichte: Mythos Ansteckung? - Seit den Tagen von Louis Pasteur und Robert Koch gilt es als unumstößliches Gesetz: Bakterien und insbesondere Viren sind für die meisten sog. (Infektions-)Krankheiten ursächlich verantwortlich, wobei die Ansteckung durch Viren dazu führen soll, dass „Krankheiten“ zwischen Lebewesen bzw. Menschen weitergegeben werden können. Aus dieser Vorstellungswelt hat sich seit Anfang des …
Wetter-Manipulationen: Was wir sicher wissen (Vortrag von ETH-Physiker Dr. Philipp Zeller) - Geoengineering, Chemtrails, HAARP; Wie ernst sollen wir dieses Thema überhaupt nehmen!? Dieser Frage stellte sich auch Philipp Zeller, Dr. sc. nat. Dipl. Physiker ETH. Der Freizeitpilot beschäftigt sich schon nahezu drei Jahrzehnte mit den Ereignissen am Himmel. Er hat mehrere Jahre im Patentwesen gearbeitet, wo er so einige …
Showing the 12 most recent of 20 posts we hold for @Herzenssache. 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.
@GuardiansofGaia · 58,7634 postsMäckle macht gute Laune
@maeklegutelaune · 91,3112 postshenning rosenbusch - Channel
@rosenbusch · 72,3482 postsSirius 🌕 Das Christus-Bewusstsein
@AramaicChristus · 26,2511 postBavarian White Hats
@bavarianwhitehats · 20,0581 postDirk Dietrich
@DDDDoffiziell · 55,9281 postFluchtburg Paraguay
@fluchtburgparaguay · 9,1131 post🐝🍄 Neue Erde ♾️ Doku 🌿
@neue_erde_doku · 3,5291 postFriedemann Däblitz
@RA_Friede · 7,7451 postTECHNIKUS🇦🇹NEWS🇩🇪
@technikus_news · 26,1951 post🚨Unzensiert V2🚨
@UnzensiertV2 · 68,6021 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.
@GuardiansofGaia · 58,7634 postshenning rosenbusch - Channel
@rosenbusch · 72,3482 postsSirius 🌕 Das Christus-Bewusstsein
@AramaicChristus · 26,2511 postDirk Dietrich
@DDDDoffiziell · 55,9281 postMäckle schafft Wissen
@maeckleschafftwissen · 41,1851 postMäckle macht gute Laune
@maeklegutelaune · 91,3111 postMatrixPower® Quantenheilung
@MatrixPowerQuantenheilung · 2,5961 postFriedemann Däblitz
@RA_Friede · 7,7451 postTECHNIKUS🇦🇹NEWS🇩🇪
@technikus_news · 26,1951 post🚨Unzensiert🚨
@unzensiert · 42,0731 post🚨Unzensiert V2🚨
@UnzensiertV2 · 68,6021 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 14 August 2026 — this entry's latest reading, not the date you are reading this.
“💖Herzenssache💖” (@Herzenssache), 1 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/Herzenssache.
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.