💡⚡️ Warum zahlen wir eigentlich immer mehr für Strom, wenn der Markt überquillt? Ich hatte ein extrem spannendes Gespräch mit Harald zum Thema VOLTAG – und die Einblicke in den aktuellen Strommarkt sind gelinde gesagt ein echter Augennöffner! Habt ihr euch eigentlich schon mal gefragt, was hinter den Kulissen der Energieversorgung wirklich passiert? In Europa entsteht immer öfter ein massiver Überschuss an Strom. D…

Channel
🌜freeSky🌤
@freeSkyOut
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
164subscribers
+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 | -1001427929097 |
|---|---|
| Type | Channel |
| Username | @freeSkyOut |
| Description | bei Fragen und Nebenwirkungen wenden sie sich bitte an einen Orgonauten✨ GeoEngineering ist ein beispielloses Verbrechen an Unsere Menschheitsfamilie und unserer heiligen Mutter Erde! wach auf - steh auf - wehr dich |
| Created | 20 February 2021 — measured — cross-checked against a third-party dataset (ext.tg_channel) |
| First recorded | 8 August 2026 |
| Last confirmed live | 8 August 2026 |
| Measurements held | 2 |
| On Telegram | t.me/freeSkyOut |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 8 Aug 2026, 16:17 | 164 | no change |
| 7 Aug 2026, 05:09 | 164 | first reading |
Engagement
20 posts held, back to 4 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
- 21.2%
- avg views ÷ 164 subscribers
- Avg views / post
- 34.8
- 20 posts measured
- Reaction rate
- 4.19%
- reactions ÷ views · ER floor
- Posts in window
- 20
- 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. It is computed over the 5 of 20 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 8 August 2026 |
|---|---|
| Posts held | 20 (4 August 2026 – 8 August 2026) |
| Views total | 695 |
| Reactions total | 8 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 8 Aug 2026, 16:17 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
- Photos
- ≈3,980
- Videos
- ≈2,340
- Links
- ≈2,810
Lifetime counters from Telegram’s own channel header, read 8 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
- 44m 46s
- Average length
- 4m 58s
Measured directly from 9 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
8 reactions across 5 posts, in 4 distinct kinds. The most used accounts for 50.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 😁 | 4 | 50.0% | |
| ❤ | 2 | 25.0% | |
| 💯 | 1 | 12.5% | |
| 🤣 | 1 | 12.5% |
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 5 of the 20 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 8reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 20 most recent posts we hold, published 4 August 2026 to 8 August 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.
Recent posts
Die Theorie mit den Smartmetern macht mehr als Sinn und würde einige dieser Phänomene gute erklären können.
Video, posted without a caption
🤣1
Photo, posted without a caption
❤1
Aha, ist das so 🤔! Sind 28tsd jetzt befragt worden (wir kennen keinen einzigen der befragt wurde) oder hat das Nexi gemeinsam mit ORF frei erfunden ? Wenn das italienische Unternehmen doch viele Zahlungsabwicklungen macht und sie die Daten sowieso haben, wozu brauchen sie dann eine Umfrage? Totaler Widerspruch ist das.
@unzensiert_infoseite #netzfund 😳😳😳😳 Die linksdrehende Mimosenjournaille macht im Sommer in die nordafrikanischen Subtropen rüber, nur um über die Hitze dort zu jammern. Kann man sich alles nicht ausdenken. @unzensiert / @unzensiertV2
😁2❤1
Es ist nicht mehr von der Hand zuweisen,... Wer es immer noch nicht rafft- deutlicher kann man es nicht zeigen,.... ...😶🌫️🫥🌫
Was sagst du zu diesem Beitrag? KI-MONSTER STRATOS: Verbraucht das neue Rechenzentrum die Energie von 23 Atombomben pro Tag? Während den Bürgern tagtäglich erzählt wird, dass ihr Auto oder ihr Konsum das Weltklima zerstören, entstehen im Schatten der Öffentlichkeit gigantische Technologie-Anlagen von unvorstellbarem Ausmaß. Ein Physikprofessor aus Utah verglich das geplante „Stratos AI“-Rechenzentrum kürzlich mit …
Zusendung 📬😊 Orgonit und Regen 💦 Vor ca. 5 Jahren bin ich auf Orgonit gestoßen und habe dann vier Chembuster mit ca. 8 kg und einen großen mit knapp 20 kg gebaut. Dazu 4-5m-Rohre als Verlängerung. Habe damit im Garten die ganzen Jahre nebenbei gearbeitet. I m Alltag war das dann letztes Jahr etwas eingeschlafen, Nachwuchs und Nichten/Neffen waren da, da haben die Rohre über der Kinderschaukel immer gestört und wu…
- Folgen: HTTPS://T.ME/KACHELKANAL -
😁1
☝️Vor 77 Jahren lag der Rhein so trocken, dass Schiffe auf dem Flussbett festsaßen. Von einer „Klimakatastrophe” sprach damals jedoch niemand. Heute wird hingegen nahezu jede Dürreperiode unmittelbar als Beleg für den menschengemachten Klimawandel angeführt. Niedrige Pegelstände beeinträchtigen die Schifffahrt, Kraftwerke kämpfen mit fehlendem Kühlwasser und Waldbrände dominieren die Schlagzeilen. Die öffentliche De…
Am Ufer wohlbemerkt. Jeder der schon mal in einem See / Meer / Strand geschwommen, ist Tiefe / Mitte... naja erklärt sich selbst. Zumal eine Flusstemperatur ebenfalls nichts mit Meerestemperaturen zu tun hat. Wer bezahlt ihn für so einen Blödsinn? "Wetterexperten" 😂 Steht dem obigen Beispiel Antarktis an Küste in nichts nach. ILLUMINATI-NEWS TV
Showing the 12 most recent of 20 posts we hold for @freeSkyOut. 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.
@ILLUMINATI_NEWS_TV · 13,6702 posts🚨Unzensiert V2🚨
@UnzensiertV2 · 68,6322 postsAntifa & Aufklärung von Remstal Rebell
@AntifaAufklaerung · 4,1351 postFreiheitdurchWahrheit Original
@FdWOeff · 19,2171 post🕊 freiesRadikal
@freies_Radikal · 3,1741 postKACHELKANAL
@kachelkanal · 19,6291 postMäckle macht gute Laune
@maeklegutelaune · 91,2511 post🇦🇹 Martin Rutter www.direktdemokratisch.jetzt
@MartinRutter · 23,4101 postFirmament im Objektiv 2.0
@Sonnendoku · 1,0501 postSTA,Behörde,Justiz,POLIZEI
@STADiverses · 3,9811 postTELETEXT und MEDIEN Korrekturen
@TeletextRichtigstellungen · 5301 postTRUEINFOS
@trueinfos · 351 postUncut-News.ch "Das Original"🇨🇭Unabhängige Analysen und Informationen zu Geopolitik, Wirtschaft, Gesundheit, Technologie
@uncut_news · 102,6091 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.
@unzensiert · 42,1022 posts🚨Unzensiert V2🚨
@UnzensiertV2 · 68,6322 postsKACHELKANAL
@kachelkanal · 19,6291 post🇦🇹 Martin Rutter www.direktdemokratisch.jetzt
@MartinRutter · 23,4101 postUncut-News.ch "Das Original"🇨🇭Unabhängige Analysen und Informationen zu Geopolitik, Wirtschaft, Gesundheit, Technologie
@uncut_news · 102,6091 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 8 August 2026 — this entry's latest reading, not the date you are reading this.
“🌜freeSky🌤” (@freeSkyOut), 164 subscribers as measured 8 August 2026. Telegram Register, tgregister.com/channel/freeSkyOut.
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.