Telegram RegisterThe public register of Telegram

Channel

🇦🇹Plandemia🇦🇹

@Normalitaet_v2

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

2,314subscribers

-1 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1001530424734
TypeChannel
Username@Normalitaet_v2
Created4 December 2021measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live13 August 2026
Measurements held5
Confirmed unchanged1 time, most recently 13 August 2026
On Telegramt.me/Normalitaet_v2

Growth

2,3132,3152,3146 August 2026 — 2,315 subscribers6 August 2026 — 2,315 subscribers7 August 2026 — 2,314 subscribers10 August 2026 — 2,313 subscribers13 August 2026 — 2,314 subscribers6 August 202613 August 2026
5 measurements spanning 7 days, net -1. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 2,313–2,315 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
13 Aug 2026, 02:332,314+1
10 Aug 2026, 09:532,313-1
7 Aug 2026, 01:222,314-1
6 Aug 2026, 11:182,315no change
6 Aug 2026, 09:552,315first reading

Engagement

30 posts held, back to 4 August 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 2 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
11.2%
avg views ÷ 2,314 subscribers
Avg views / post
260
28 posts measured
Reaction rate
1.73%
reactions ÷ views · ER floor
Posts in window
30
of 30 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 25 of 28 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 7 August 2026
Posts held30 (4 August 20267 August 2026)
Views total7,275
Reactions total117
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 16:41 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

Video runtime
1h 33m
Average length
15m 36s

Measured directly from 6 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

117 reactions across 25 posts, in 14 distinct kinds. The most used accounts for 17.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍2117.9%
🔥1512.8%
🤮1512.8%
1311.1%
💯108.55%
💩97.69%
🖕75.98%
🤪75.98%
🤯65.13%
😱54.27%
😡32.56%
🤬32.56%
👎21.71%
👀10.855%

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 25 of the 30 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 117reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 30 most recent posts we hold, published 4 August 2026 to 7 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

7 Aug 2026, 16:07 UTC42 viewsread 7 August 2026
Video

(🇩🇪DEUTSCH) The Chris Hedges YouTube Channel/The Chris Hedges Report: "How the Epstein Network is Privatizing Govt & Building the Surveillance State(w/Whitney Webb) |TCHR" „Whitney Webb erklärt, wie Leslie Wexner die Staatsregierung von Ohio privatisiert hat und seine Position zwischen den Märkten und dem Staat nutzt, um das „Silicon Heartland“ aufzubauen. Unterstützen Sie meinen unabhängigen Journalismus auf Subst

7 Aug 2026, 13:26 UTC99 views3 reactionsread 7 August 2026

Borns IT- und Windows-Blog am 06.08.2026: "deGDID" entfernt GDID in Windows und blockt Neuanlage: https://borncity.com/blog/2026/08/07/degdid-entfernt-gdid-in-windows-und-blockt-neuanlage/ „Microsoft vergibt in Windows eine eindeutige GDID genannte Kennung, über die Nutzer identifiziert werden können. Der VPN-Anbieter Windscribe hat nun ein Skript entwickelt, um das versteckte GDID-Tracking von Microsoft unter Windo

2👍1

7 Aug 2026, 10:37 UTC99 views4 reactionsread 7 August 2026
Forwarded from @DrMariaHubmerMoggMAHUMO

Fauci-Dokumente entlarven die unheimliche Macht des Bill Gates | exxpress https://share.google/limSc1kyDUSFMxEfS https://t.me/DrMariaHubmerMoggMAHUMO

😱4

7 Aug 2026, 07:16 UTC180 views4 reactionsread 7 August 2026
Video

(🇩🇪DEUTSCH) Rob Braxman Tech (Alt-Tech. The Internet Privacy Guy. Public interest hacker and technologist.): "GDID – Microsofts geheimer Windows-Tracker, der sich nicht abschalten lässt" „In den Nachrichten ist ein neu entdeckter Windows-Tracker mit beunruhigenden Folgen. Er kann Ihre Aktivitäten im gesamten Internet verfolgen und wurde kürzlich von der US-Regierung in einem Fall von Cyberkriminalität eingesetzt. Da

🤬31

7 Aug 2026, 05:34 UTC143 views2 reactionsread 7 August 2026
Forwarded from @DrMariaHubmerMoggMAHUMO

ORF>FAKE TheHighwire>FAKTEN ORF zu Fauci 🤦🏻‍♀️🤦🏻‍♀️🤦🏻‍♀️: https://orf.at/stories/3438431/ Kein Wort zu Faucis Tagebuch oder den kürzlich veröffentlichten Emails, Gain-of-Function (GOF) Forschung, LabLeak in Wuhan etc. Während die Infos genau dazu in der heutigen TheHighwire Episode (www.highwire.com/watch) bestens aufbereitet werden. thehighwire.com/watch https://t.me/DrMariaHubmerMoggMAHUMO

🤯2

6 Aug 2026, 16:18 UTC238 views2 reactionsread 7 August 2026
Video

Operating System Age Verification Bill Signed Into Law in Illinois HB-5511, which will require Age data collection on all Operating Systems (including Linux, FreeBSD, and others), was signed by Governor Pritzker. More from The Lunduke Journal: https://lunduke.com/

🔥2

6 Aug 2026, 12:14 UTC218 views7 reactionsread 7 August 2026

https://exxpress.at/meinung/tragen-sie-polohemden-dann-sind-sie-moeglicherweise-rechtsextrem/ (6. August 2026) „Teile und herrsche“, abgesehen davon schlicht nur noch geisteskrank und die instrumentalisierte "Die Wissenschaft" in ihrem Endstadium.

🤯4🤪3

6 Aug 2026, 10:54 UTC190 views4 reactionsread 7 August 2026
Forwarded from @tkp_news

Die französische Grünen-Politikerin Marine Tondelier hat erneut die vorübergehende Abschaltung der Social-Media-Plattform X gefordert. Beitrag hier lesen👇 https://tkp.at/2026/08/06/franzoesische-gruenen-chefin-fordert-abschaltung-von-x/

🤪4

6 Aug 2026, 06:30 UTC216 views2 reactionsread 7 August 2026
Forwarded from @eXXpressAT

Abhöraffäre erschüttert den ORF: Ermittlungen gegen SPÖ-Stiftungsratschef Lederer Der ORF kommt nicht zur Ruhe. Nach mehreren Turbulenzen erschüttert nun die nächste Affäre den öffentlich-rechtlichen Rundfunk. Gegen den umstrittenen ORF-Stiftungsratsvorsitzenden Heinz Lederer führt die Wiener Staatsanwaltschaft Ermittlungen wegen des Verdachts der schweren Nötigung. Im Zentrum steht ein brisantes Telefonat mit dem d

🔥2

Showing the 12 most recent of 30 posts we hold for @Normalitaet_v2. 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

Citation-graph rank — 142,428 of 1,169,250entries 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.

Forward network

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

Named by 2 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.

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.

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 13 August 2026 — this entry's latest reading, not the date you are reading this.

“🇦🇹Plandemia🇦🇹” (@Normalitaet_v2), 2,314 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/Normalitaet_v2.

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.