Telegram RegisterThe public register of Telegram

Channel

Performance for Peace

@performanceforpeace

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

209subscribers

+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-1001726984532
TypeChannel
Username@performanceforpeace
DescriptionRemembering great heads of our history who have shown courage to think critical and swim against the mainstream and contemporary heros for humanity, peace and freedom. More info on my website http://monicafelgendreher.info/
Created13 November 2021measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded7 August 2026
Last confirmed live7 August 2026
Measurements held2
On Telegramt.me/performanceforpeace

Growth

2097 Aug 2026, 06:28 — 209 subscribers7 Aug 2026, 06:47 — 209 subscribers7 Aug 2026, 06:287 Aug 2026, 06:47
2 measurements taken within a single day. 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 208–210 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
7 Aug 2026, 06:47209no change
7 Aug 2026, 06:28209first reading

Engagement

12 posts held, back to 18 April 2026the 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
34.4%
avg views ÷ 209 subscribers
Avg views / post
72.0
2 posts measured
Reaction rate
1.68%
reactions ÷ views · ER floor
Posts in window
2
of 12 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 1 of 2 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 2 August 2026
Posts held12 (18 April 20262 August 2026)
Views total144
Reactions total2
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 06:47 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
632
Videos
125
Links
176

Lifetime counters from Telegram’s own channel header, read 7 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.

Reaction mix

28 reactions across 9 posts, in 6 distinct kinds. The most used accounts for 42.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
1242.9%
👍725.0%
👏517.9%
🤔27.14%
🔥13.57%
😁13.57%

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 9 of the 12 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 28reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 12 most recent posts we hold, published 18 April 2026 to 2 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

2 Aug 2026, 17:18 UTC25 viewsread 7 August 2026
Forwarded from @scottiberlinPhoto

Ab wann sind viele viele? Wir waren viele, wenn auch nicht so viele wie vor 6 Jahren, als sich in der Berliner Innenstadt laut Brockhaus 2020er Jahrbuch 20.000 Menschen versammelten, mißtrauisch beäugt von der Staatsmacht, als Medien wie T-Online 25 Minuten vor Auflösung der Demo meldeten, die Demo sei aufgelöst, als die Polizei durch sinnfreie Absperrungen am Brandenburger Tor und am 17.Juni den reibungslosen Ablauf

Signed Stella

18 Jul 2026, 14:04 UTC119 views2 reactionsread 7 August 2026

Wenn der wüsste,... Good old Joseph Beuys dreht sich im Grab - Sonne statt Reagan 1982. https://youtube.com/watch?v=DQ1_ALxGbGk&si=qZ2Yr--8tfmUtOqN

2

Signed Monica

21 May 2026, 10:36 UTC152 views3 reactionsread 7 August 2026

Dieser Artikel🖕handelt von der Arbeit meiner Künstlerinfreundin Stephanie Hayman, die ich in Portugal getroffen habe. Sie ist eine von uns, die sich fragte, was man tun kann, um unsere Welt wieder auf den richtigen Pfad des Lichts, der Liebe und des friedlichen, respektvollen Miteinanders zu führen, und ist selbst aktiv geworden. Sie kontaktierte Opfer sexuellen Missbrauchs, um ein Foto von ihnen zu erhalten und ihre

3

Signed Stella

21 May 2026, 10:33 UTC96 viewsread 7 August 2026

This article👇 focuses on the work of my artist friend, Stephanie Hayman, whom I met in Portugal. She is one of us, someone who asked herself what could be done to guide our world back onto the true path of light, love, and peaceful, respectful coexistence—and who subsequently took action herself. She reached out to survivors of sexual abuse to obtain their photographs and learn their personal stories. Drawing upon he

Signed Monica

21 May 2026, 10:33 UTC96 views5 reactionsread 7 August 2026
Forwarded from @Fall_of_the_CabalPhoto

The question most often asked in the past 8 years, has been ‘What can I do?’ People tend to think so small of themselves, they are convinced about their unimportance, their ‘nothing-ness’. If they only realized the truth is completely opposite… In support of one of you, who dedicates her 'gift' to raise awareness for victims of Satanic Ritual Abuse. Please click here to read: https://open.substack.com/pub/fallof

4👍1

Signed Monica

7 May 2026, 10:00 UTC93 views5 reactionsread 7 August 2026
Forwarded from @simonevossPhoto

Sie erlebte den Zusammenbruch einer ganzen Gesellschaft und widmete den Rest ihres Lebens dem Versuch, die einzigartige Bedingung zu erklären, die das möglich machte. Hannah Arendt wurde 1906 in Deutschland geboren. Sie sah, wie eine der gebildetsten und intellektuell erfolgreichsten Nationen der Welt in Barbarei versank. Sie hat es nicht nur überlebt, sondern studiert. Sie beobachtete aufmerksam, schrieb unermüdlic

👍32

Signed Monica

4 May 2026, 14:48 UTC243 views4 reactionsread 7 August 2026
Photo

Photo, posted without a caption

👏3👍1

Signed Monica

3 May 2026, 16:46 UTC100 viewsread 7 August 2026

https://www.adriankuipers.com/pages/breathwork-music

Signed Monica

3 May 2026, 13:17 UTC103 views4 reactionsread 7 August 2026
Photo

Macht Sinn. Fühlt sich positiv und richtig an. Erinnert an einen symbolisierten Lebensbaum. Let's turn it around. 💛🌿

🤔2👍1🔥1

Signed Monica

27 Apr 2026, 10:28 UTC103 views2 reactionsread 7 August 2026

Wow. Dieses Gespräch habe ich sehr genossen. Eine Freundin hat mich auf Harald Kautz aufmerksam gemacht. Ich danke ihr dafür. Er spricht über brisante Themen mit sanfter Stimme und hilft mir mit seinen Erklärungen in gewisser Weise bei meiner eigenen Art von Selbstheilung (in dieser wahnsinnig gewordenen Welt). Ich hoffe, er inspiriert euch auch. ☀️

👏1😁1

Signed Monica

27 Apr 2026, 10:28 UTC126 views1 reactionsread 7 August 2026
Forwarded from @HaraldKautzVideo

AP Live ¦ Die Morgellons kommen (mit Harald Kautz) 0:02:55 Wer ist Harald Kautz? 0:05:15 Vernetzung & Truther-Podcast-Szene 0:08:30 Rabbit Hole erklärt – Von Mainstream bis „Endstufe“ 0:10:30 Biografischer Hintergrund & Ausstieg aus dem System 0:13:00 Norwegen-Phase & erste Analysen zu „Chemtrails“ 0:15:00 Technologie-Ebenen: Militär, Überwachung, Transhumanismus 0:17:45 Covid-Deutung & Systemkritik 0:23:00 Körper,

👏1

Signed Monica

18 Apr 2026, 11:22 UTC139 views2 reactionsread 7 August 2026
Forwarded from @auf1tv

Über Jahrzehnte:🔥Erpressung hält die Eliten auf Linie! (System Epstein Teil 4) Wird Trump erpresst? Von wem? Fest steht: Trump bewegt sich seit Jahrzehnten in einem Sumpf, in dem Erpresser agieren. Stefan Magnet zeigt in dieser 4. Folge des „Systems Epstein“: Trumps Ziehvater war der Mafia-Anwalt und Erpresser Roy Cohn. Und er zeigt jene Erpresser- und Kinderschänder-Ringe, die seit 70 Jahren als Epstein-Vorläufer g

1👍1

Signed Stella

Showing the 12 most recent of 12 posts we hold for @performanceforpeace. 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 — 912,700 of 1,160,990entries 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 1 registered channel — 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.

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

“Performance for Peace” (@performanceforpeace), 209 subscribers as measured 7 August 2026. Telegram Register, tgregister.com/channel/performanceforpeace.

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.