Lesestunde mit Ralf Blume 📕 Das verbotene Buch der Lebensmittel Mehr Infos unter: t.me/GiftigeWahrheit 👇👇👇👇👇 ♨️ Link zu YouTube Was essen wir da eigentlich?
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Channel
@GiftigeWahrheit
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Telegram's recommendations · Cite this entry
34,393subscribers
-1,270 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
| Telegram ID | -1001527591160 |
|---|---|
| Type | Channel |
| Username | @GiftigeWahrheit |
| Description | Was essen wir da eigentlich? Was passiert in unserer Umwelt? Was steckt in unseren Lebensmitteln? Werden wir vergiftet? Achtet nur auf die Originale ‼️-- Abonnieren: --‼️ 👉 https://t.me/GiftfigeWahrheit 👉 https://t.me/LebensmittelFriedhof |
| Created | 1 August 2021 — measured — cross-checked against a third-party dataset (ext.tg_channel) |
| First recorded | 6 August 2026 |
| Last confirmed live | 8 November 2026 |
| Measurements held | 62 |
| Confirmed unchanged | 1 time, most recently 8 November 2026 |
| On Telegram | t.me/GiftigeWahrheit |
Health & wellness — 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 9 September 2026 and assigned it the closest of 31 fixed categories, at 77% 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 8 Nov 2026, 16:01 | 34,393 | -14 |
| 7 Nov 2026, 08:56 | 34,407 | -13 |
| 6 Nov 2026, 06:50 | 34,420 | -7 |
| 5 Nov 2026, 04:08 | 34,427 | -13 |
| 4 Nov 2026, 02:50 | 34,440 | +1 |
| 2 Nov 2026, 23:56 | 34,439 | -13 |
| 1 Nov 2026, 21:09 | 34,452 | -14 |
| 31 Oct 2026, 19:49 | 34,466 | -13 |
| 30 Oct 2026, 22:05 | 34,479 | -35 |
| 29 Oct 2026, 19:48 | 34,514 | -6 |
| 28 Oct 2026, 22:40 | 34,520 | -14 |
| 27 Oct 2026, 20:10 | 34,534 | -10 |
| 26 Oct 2026, 19:36 | 34,544 | -17 |
| 25 Oct 2026, 17:46 | 34,561 | -16 |
| 24 Oct 2026, 21:11 | 34,577 | -20 |
| 23 Oct 2026, 22:29 | 34,597 | -19 |
| 22 Oct 2026, 21:06 | 34,616 | -13 |
| 21 Oct 2026, 17:31 | 34,629 | -17 |
| 20 Oct 2026, 10:58 | 34,646 | -15 |
| 19 Oct 2026, 10:15 | 34,661 | first reading |
18 posts held, back to 15 February 2025 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 172 pages of Telegram’s post history, 20 posts per page.
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 30 October 2026 |
|---|---|
| Posts held | 18 (15 February 2025 – 30 October 2026) |
| Views total | 9,590 |
| Reactions total | 66 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 9 Nov 2026, 06:12 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.
Lifetime counters from Telegram’s own channel header, read 9 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.
Measured directly from 8 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.
5,376 reactions across 18 posts, in 21 distinct kinds. The most used accounts for 43.2% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 🤮 | 2,324 | 43.2% | |
| 👍 | 1,268 | 23.6% | |
| 🤬 | 426 | 7.92% | |
| 🔥 | 379 | 7.05% | |
| ❤ | 364 | 6.77% | |
| 💯 | 175 | 3.26% | |
| 🤯 | 118 | 2.19% | |
| 🙏 | 53 | 0.986% | |
| 🤣 | 52 | 0.967% | |
| 😢 | 49 | 0.911% | |
| 🙈 | 46 | 0.856% | |
| 👎 | 30 | 0.558% | |
| 🤔 | 24 | 0.446% | |
| ⚡ | 21 | 0.391% | |
| 😁 | 19 | 0.353% | |
| 😱 | 11 | 0.205% | |
| 🥰 | 6 | 0.112% | |
| 💩 | 5 | 0.093% | |
| 🍾 | 3 | 0.056% | |
| 🌭 | 2 | 0.037% | |
| 1 further kind | 1 | 0.019% |
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 18 of the 18 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 5,376 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 18 most recent posts we hold, published 15 February 2025 to 30 October 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.
Telegram’s own ‘edited’ marker: 1 of 1 post held from the last 30 days (100.0%) 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).
Lesestunde mit Ralf Blume 📕 Das verbotene Buch der Lebensmittel Mehr Infos unter: t.me/GiftigeWahrheit 👇👇👇👇👇 ♨️ Link zu YouTube Was essen wir da eigentlich?
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Hallo Freunde. Ab heute starten wir auf YouTube unseren Kanal. Wenn ihr uns unterstützen möchtet, dann Abonniert uns gern und hinterlasst gern einen Like oder Kommentar. Wir danken euch für die Unterstützung, auch hier bei Telegram 👍😊 LebensmittelFriedhof https://youtu.be/xBbdI3W1LIg?is=2fpFYnaMr45stU3i
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‼️Trotz neuer EU-Regeln landen weiterhin Eier aus ukrainischer Käfighaltung als vermeintliche Bio-Ware auf dem europäischen Markt. https://www.agrarheute.com/tier/gefluegel/eier-kaefighaltung-bio-eier-vermarktet-637812 ♨️ A B O N N I E R E N ♨️ 👇👇👇👇👇👇👇 ☠️ t.me/LebensmittelFriedhof
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https://youtu.be/tcCZgLEb7OM?si=dJZ00pjA3YRJ_0_K Mehr Infos dazu unter: 🔥@GitigeWahrheit
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Ab 14. Oktober 2025 wird alles beschlossen sein‼️ Auch wenn man uns jetzt öffentlich zeigt, das es einen Aufschrei gibt, und es vielleicht doch gekippt wird? Wer es schon mitbekommen hat, der kann es sehen, mit den neuen Updates, die schon Tage vorher herausgekommen sind. Jedes Handy, jeder Computer oder Tablet wird betroffen sein‼️ Schon seit einiger Zeit werden Textnachrichten, sobald Du sie schreibst, kontrolli…
🤮353❤71🔥31🤣12👎8💯7⚡4👍4
"Fix und Fertig" 🎬 Doku ARTE Kaufrausch, Kaufzwang. Warum die Menschen nicht satt werden und immer das Gefühl haben, essen zu müssen. In dieser Doku wird uns gezeigt wie wir mit Geschmackstoffen und Gehirnmanipulationen für die Lebensmittelindustrie ein hervorragendes Geschäftsmodell sind. Das wir aber auch dadurch krank gemacht und gehalten werden, ist nur eine Nebenwirkung, die dem EINEN oder ANDEREN im Alter frü…
👍162❤32🔥26💯17🤔7🥰1
‼️ACHTUNG P18‼️ Sensieble Doku Ausgeschlachtet 💀 Wenn Körperteile zu Markenartikel werden. Eine einzige Leiche, konsequent verwertet, kann in den USA bis zu 250.000 Dollar bringen. In den westlichen Industrienationen ist der Bedarf an Leichenteilen weitaus größer, als das Material, das von Spendern entnommen wird. Der internationale Handel mit Körpern hat erschreckende Ausmaße angenommen. 👉 Quelle
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Danke an den Chat 🙋♂ ❗💥Team Wallraff recherchierte und deckte riesen SKANDAL bei Kaufland auf💥❗ #Lebensmittelbetrug #Kaufland #BetrugAmKunden #Umetikettierungen #Schimmel #Mäuse Täglich vergiften wir uns‼️ JETZT ABONNIEREN 👇👇👇👇👇👇👇 ☠️ t.me/LebensmittelFriedhof
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Damals Sept 2021 Prospekt von LIDL Wie die Preisentwicklung sich bis heute verändert haben, im Bezug auf Kaffee, kann man im damaligen Prospekt, und an diesem Beispiel von Lidl anschauen. https://www.prospektangebote.de/geschaefte/lidl/angebote/jacobs-kronung-ganze-bohnen-angebot-2620414/ 👉 Preis Heute März 25 🔥 @GiftigeWahrheit
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Das ist die Krönung 2025 Kaffeepreise explodieren‼️ Der Kaffeepreis wird diese Woche wieder um fast 2,-€ erhöht‼️ Währenddessen die Deutschen sich wieder im Sauberkeitswahn befinden, und ihre Laubbläser herausholen, um den Tieren in der Natur jede Versteckmöglichkeit zu unterbinden, werden im Hintergrund die Preise wieder drastisch angehoben. Kaffee jetzt offiziell als Luxusgut? Nicht nur der Kaffee, nein, auch v…
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‼️So krank machen uns Emulgatoren im Essen Sie verändern das Mikrobiom, erhöhen das Risiko für Krebs und Herzerkrankungen Emulgatoren verändern unser Mikrobiom Neue Studien haben ergeben, dass der Verzehr gängiger Emulgatoren mit einem höheren Risiko für Herzkrankheiten, Typ-2-Diabetes und einige Krebsarten verbunden ist. Ursache scheint zu sein, dass die Stoffe die Mikroorganismen im Darm (Mikrobiom) so verändern, …
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‼️Für jeden Geschmack das passende Gift Immer billig und günstig gehalten. Ob im Discounter, an der Tankstelle oder dem Einzelhandel, überall stehen sie herum. Mittlerweile im Palettenformat. Wir sind für diese Fabrikanten nur die Entsorger, und die Menschen greifen danach. Nicht die Hersteller oder Produzenten sind für die Vergiftung der Bevölkerung verantwortlich, sondern jene, die es sich selbst verabreichen. …
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Showing the 12 most recent of 18 posts we hold for @GiftigeWahrheit. 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.
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
Republishes
Channels on the register whose posts this channel has forwarded.
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.
Named by 4 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.
Named by
Channels on the register whose posts name this channel's handle.
Names
Channels on the register whose handles appear in this channel's posts.
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.
@GiftigeWahrheit named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
References a handle that is not a live channel — we have no record it ever was one.
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Read from Telegram’s recommendation API, most recently 4 September 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
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.
This channel appears in 2 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 8 November 2026 — this entry's latest reading, not the date you are reading this.
“☠️ Giftige Wahrheit” (@GiftigeWahrheit), 34,393 subscribers as measured 8 November 2026. Telegram Register, tgregister.com/channel/GiftigeWahrheit.
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.