Channel
@KlimaMaerchen
On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry
1,158subscribers
-3 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
| Telegram ID | -1001947389234 |
|---|---|
| Type | Channel |
| Username | @KlimaMaerchen |
| Created | 30 August 2023 — measured — cross-checked against a third-party dataset (ext.tg_channel) |
| First recorded | 6 August 2026 |
| Last confirmed live | 12 August 2026 |
| Measurements held | 4 |
| Confirmed unchanged | 1 time, most recently 12 August 2026 |
| On Telegram | t.me/KlimaMaerchen |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 12 Aug 2026, 18:27 | 1,158 | -1 |
| 9 Aug 2026, 19:21 | 1,159 | -2 |
| 6 Aug 2026, 12:02 | 1,161 | no change |
| 6 Aug 2026, 10:01 | 1,161 | first reading |
17 posts held, back to 24 October 2023 — 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.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 17 posts for this entry, the most recent from 6 August 2024. An engagement rate over an empty window would be a number about nothing.
372 reactions across 17 posts, in 16 distinct kinds. The most used accounts for 65.9% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 245 | 65.9% | |
| ❤ | 40 | 10.8% | |
| 🤮 | 38 | 10.2% | |
| 👏 | 15 | 4.03% | |
| 😁 | 9 | 2.42% | |
| 👎 | 6 | 1.61% | |
| 🔥 | 4 | 1.08% | |
| 🌭 | 3 | 0.806% | |
| ❤🔥 | 2 | 0.538% | |
| 💯 | 2 | 0.538% | |
| 😢 | 2 | 0.538% | |
| 😴 | 2 | 0.538% | |
| 💅 | 1 | 0.269% | |
| 🕊 | 1 | 0.269% | |
| 🤨 | 1 | 0.269% | |
| 🥱 | 1 | 0.269% |
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 17 of the 17 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 372reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 17 most recent posts we hold, published 24 October 2023 to 6 August 2024, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
#Studie 2024: https://iopscience.iop.org/article/10.1088/1748-9326/ad5f43/pdf Höhere #CO2-Konzentration verbessert Pflanzenwachstum und Wasserverfügbarkeit in den bevölkerungsreichen Breitengraden der Nördlichen Hemisphäre. ✈️𝑊ℯ𐑈𝘁𝗧۷
👍53👏5❤4👎2
💥Die #CO2 Zertifikate 💥 oder Als die Umwelt noch umsonst war Natürlich in der ZDF Mediathek verschwunden 🤷🏻♂️ ✈️𝑊ℯ𐑈𝘁𝗧۷
👍28🔥3
Wir basteln uns selbst ein einfaches Klimamodell 🔤#KlimaMärchen 🏝 Ausgangspunkt: Der Physik-Nobelpreisträger John Clauser vertritt die Ansicht, dass die derzeit prominenten Klimamodelle falsch sind. Die wesentlichen Treiber des Klimas sind seiner Ansicht nach die Wolken und nicht der CO2-Gehalt der Atmosphäre. (1) Interessante These: Die Satellitendaten zu Wolken, Sonneneinstrahlung und Strahlungsreflexion von C…
👍10❤3❤🔥2
Die dunkle Seite der #Solaranlagen. Die durchschnittliche Lebensdauer eines Solarmoduls beträgt 25 bis 30 Jahre. Zwischen 2030 und 2060 werden voraussichtlich 9,8 Millionen Tonnen Solarmodul-Abfall erwartet. „Eine Studie ergab, dass Solarmodule pro Energieeinheit 300-mal mehr Giftmüll erzeugen als Atomkraftwerke.“ In der Zwischenzeit werden landwirtschaftliche Flächen zerstört und verseucht, um die sogenannte „grün…
🤮38👍4❤2🔥1
Eine kommentierte 📚Bibliographie, zu... 🍃 ➡️𝑪𝒍𝒊𝒎𝒂𝒕𝒆 𝑫𝒆𝒓 𝑭𝒊𝒍𝒎 🍃 #KlimaMärchen welche die 70 wichtigen Punkte des Films unterstützt. Quellen, Grafiken und Links zu den Kernaussagen der Dokumentation. 📚 Bibliographie ✈️𝑊ℯ𐑈𝘁𝗧۷
👍7❤1
Eine wirklich sehr empfehlenswerte Doku! Bereits eine 1,5 minütige Sequenz lässt bereits das #KlimaMärchen bröckeln. 🏝 Das Video in ➡️ voller Länge ✈️𝑊ℯ𐑈𝘁𝗧۷
👍9
Lange erwartet... 🍃⚡️ 𝑪𝒍𝒊𝒎𝒂𝒕𝒆 𝑫𝒆𝒓 𝑭𝒊𝒍𝒎 ⚡️🍃 Drehbuch und Regie: Martin Durkin. Produziert von Tom Nelson. (automatische🇩🇪Untertitel) Der Film, der den Klimaalarm und die dunklen Kräfte hinter dem Klimakonsens aufdeckt. Politiker, Bürokraten, alle Gutmenschen insbesondere diejenigen, die das #KlimaMärchen fördern, sollten VERPFLICHTET werden, sich diesen Film anzusehen. 🎞 Quelle Google unterdrückt den Film, E…
👍8❤1
Interessanterweise kann man vor Gründung des #IPCC (Klimarat) im Jahre 1988 überhaupt keine Erwärmung feststellen, sie ist noch nicht einmal in den monatlichen Schwankungen verborgen. Was zur Frage führt, warum das IPCC überhaupt gegründet wurde, da es ja laut Gründungsauftrag die "Auswirkungen der globalen Erwärmung" untersuchen sollte? 🤔 https://de.wikipedia.org/wiki/Intergovernmental_Panel_on_Climate_Change
👍14❤2👏2🥱1
|| UMWELTVERNICHTUNG Alles spricht vom Klimawandel, doch das wirkliche Problem ist die Umweltverschmutzung 👆 "Mit 703 kg Haushaltsabfälle pro Person und Jahr sind die Schweizer weltweit die drittgrössten Abfallproduzenten. Der Deutsche 615 Kilogramm pro Person und Jahr und der Österreicher 587 Kilogramm pro Person und Jahr." Auf Deutsch: Wir leben in schönen Landschaften, weil unser Müll in die armen Länder export…
👍11😢2
Computermodellierung 🔤🔤 Realität In manchen Kreisen Norddeutschlands warten Menschen in überfluteten Städten auf Hilfe und können solange auf dem Helmholtz Dürremonitor ansehen, dass ihr Landkreis laut Modell unter extremer Dürre leidet und mehr Regen bräuchte. 💬 Im Bild von links 🟠 Helmholtz Dürremonitor 🟢 Hochwasserzentralen 💧 Bodenfeuchtekarten
👍14🌭3👎1🤨1
𝐊𝐞𝐢𝐧 𝐒𝐜𝐡𝐞𝐫𝐳! 👀 𝑲𝒍𝒊𝒎𝒂𝒇𝒐𝒓𝒔𝒄𝒉𝒖𝒏𝒈 𝒔𝒕𝒆𝒍𝒍𝒕 𝒇𝒆𝒔𝒕: 𝑲𝒍𝒊𝒎𝒂 𝒗𝒆𝒓𝒉ä𝒍𝒕 𝒔𝒊𝒄𝒉 𝒄𝒉𝒂𝒐𝒕𝒊𝒔𝒄𝒉 𝒖𝒏𝒅 𝒌𝒂𝒏𝒏 𝒊𝒏 𝒁𝒖𝒌𝒖𝒏𝒇𝒕 𝒏𝒊𝒄𝒉𝒕 𝒎𝒆𝒉𝒓 𝒗𝒐𝒓𝒉𝒆𝒓𝒈𝒆𝒔𝒂𝒈𝒕 𝒘𝒆𝒓𝒅𝒆𝒏 Die Klimamodellierer hatten es nie leicht, Vorhersagen für das chaotische System Klima zu treffen. Es wird kälter statt wärmer, es fällt mehr Schnee und nicht weniger; statt dass sich Dürre ausbreitet, nehmen Niederschläge kontinuierlich zu. Dazu wurde in den letzten Posts ausführlich berichtet…
👍14❤4😴2👎1
🍃..𝑾𝒆𝒕𝒕𝒆𝒓..𝑾𝒆𝒕𝒕𝒆𝒓..𝑾𝒆𝒕𝒕𝒆𝒓..🍃 Aber freut Euch nicht zu früh Wie der Winter in 100 Jahren wird, das wissen sie dagegen 𝐆𝐀𝐍𝐙 𝐆𝐄𝐍𝐀𝐔. Was wir beobachten sind nur "𝐤𝐮𝐫𝐳𝐟𝐫𝐢𝐬𝐭𝐢𝐠𝐞" Abweichungen 😂 #KlimaMärchen 🥶 𝑊ℯ𐑈𝘁𝗧۷
😁9❤1💅1
Showing the 12 most recent of 17 posts we hold for @KlimaMaerchen. 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.
Citation-graph rank — 845,801 of 1,478,351entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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.
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.
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.
“KlimaMärchen - CO² - Klimawandel” (@KlimaMaerchen), 1,158 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/KlimaMaerchen.
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.