4 measurements spanning 4 days, net +13. 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 1,507–1,524 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
11 Aug 2026, 04:24
1,522
+8
8 Aug 2026, 00:47
1,514
+5
7 Aug 2026, 21:46
1,509
no change
7 Aug 2026, 16:00
1,509
first reading
Engagement
20 posts held, back to 20 July 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
105.3%
avg views ÷ 1,522 subscribers
Avg views / post
1,600
20 posts measured
Reaction rate
4.38%
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.
What these figures were computed from
Window
Rolling 30 days · latest post in window 7 August 2026
Posts held
20 (20 July 2026 – 7 August 2026)
Views total
32,049
Reactions total
1,404
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
7 Aug 2026, 21:46 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
7s
Average length
7s
Measured directly from 1 video 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
1,404 reactions across 20 posts, in 20 distinct kinds. The most used accounts for 23.6% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
332
23.6%
👍
318
22.6%
custom 5247114507041410057
148
10.5%
❤
130
9.26%
😡
110
7.83%
🤬
78
5.56%
😁
75
5.34%
👏
57
4.06%
🤔
41
2.92%
🤯
32
2.28%
💯
23
1.64%
🙏
19
1.35%
🍾
11
0.783%
🎉
9
0.641%
👎
6
0.427%
👌
5
0.356%
👀
4
0.285%
😨
4
0.285%
🌚
1
0.071%
🤝
1
0.071%
Custom emoji. One row above is a Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The count beside it isTelegram’s.
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 20 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 1,404reactions 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 20 July 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.
Telegram Stars
Stars received
15
across the posts below
Posts paid on
15
of 20 we hold a reading for · 75%
Most on one post
1
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @zurlage. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 20 most recent posts we hold for this entry, published 20 July 2026 to 7 August 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
The Pioneer-Redakteur Johann Paetzold auf X:
++ AfD-Chaos in NRW ++
Mir liegt ein 27-seitiges Aufforderungsschreiben im eskalierenden AfD-NRW-Machtkampf vor. Verfasst wurde das Schreiben von einem Rechtsanwalt im Auftrag von Christian Zaum, Sven Tritschler, Tim Csehan, Sabine Reinknecht und Dr. Helmut Waniczek.
Adressat: der AfD-NRW-Landesvorstand um Martin Vincentz.
Die Vorwürfe: verweigerte Auskünfte, umstritte…
Jetzt AfD-Mitglied in NRW werden und sich gegen den Kurs von Martin Vincentz stellen.
Gerade im größten Bundesland braucht es eine AfD auf „Weidel/Höcke-Kurs“ und keine CDU 2.0!
Unterstützt das patriotisch-idealistische Lager in der AfD NRW und werdet Mitglied in AfD und GD.
https://www.afd.de/mitglied-werden/
EIL! Vincentz’ PAV-System: Bundesschiedsgericht hebt PAV-Beschluss gegen Sebastian Nehnes nach VIER Jahren auf❗️
Der Weseler Sebastian Nehnes war ein lagerübergreifend hoch respektierter Funktionär der AfD in NRW.
Nehnes war in seinem Kreisverband und als stellv. Bezirkssprecher der AfD Düsseldorf aktiv.
Doch kurz vor den Düsseldorfer Bezirksvorstandswahlen Ende Mai 2022, an denen Nenes gute Chancen zugerechnet wur…
Rüdiger Lucassen (74, NRW) fordert seine Partei jetzt zum Durchgreifen auf. Der AfD-Bundestagsabgeordnete in BILD: „Wer unsere Parteichefin wie der Abgeordnete Loose öffentlich mit Frau Merkel gleichsetzt und sie mehrfach als ‚Alice Merkel’ tituliert, kann keinen Platz mehr in der AfD haben. Er gehört aus der Partei entfernt.“
Und: „Es wäre insgesamt zum Vorteil unserer Partei, wenn Alice Weidel in der aktuellen Kri…
Parteiausschlüsse gegen enge Vertraute aus dem Umfeld von Vincentz scheinen unausweichlich.
Das hat nun auch die Bundesspitze verstanden.
https://www.t-online.de/nachrichten/deutschland/innenpolitik/id_101368532/afd-machtkampf-weidel-holt-zum-naechsten-schlag-aus-.html
EIL: Vincentz‘ Richterin Dr. Schoen tritt zurück 👩🏻⚖️
Frau Dr. Schoen galt im Landesschiedsgericht als sichere Bank für das System Vincentz.
Ohne Anhörung ließ sie Helferich im Rahmen seiner Verhandlung durch den Ex-Bandido Tobias Laue des Saales verweisen.
Nun haben sich die treuen Vincentz-Richter Schoen und Paul derart überworfen, dass Schoen im Streit zurücktrat.
Endlich frische unabhängige Luft im Landessch…
Auffällig ist das bei dem Bundestagsabgeordneten Maximilian Krah und dem NRW-Landeschef Martin Vincentz. In einer Whatsapp-Nachrichtenfolge fragte der Kreisverbandsvorsitzende in Goslar, Main Müller, den niedersächsischen Landesvorsitzenden Ansgar Schledde, ebenfalls ein Rohrböck-Kontakt, ob dieser «M+M» (also Martin Vincentz plus Maximilian Krah) für die Parteispitze favorisiere, und Schledde antworteten demnach: «S…
Schreibt der Landesvorstand der AfD NRW wirklich solche offiziellen Schreiben?
Peinlich.
Wenn diese Sprachakrobaten, die Liste verteidigen müssen, treten wir wohl nicht in NRW zur Wahl an.
Früherer AfD-Bundesvorsitzender Jörg Meuthen prophezeit Sturz von NRW-Landeschef Martin Vincentz
In dem Podcast „Inside AfD“ bezeichnete er Vincentz zwar als „vernünftigen Mann“, sagte aber voraus, dass dieser nach der Aufstellung der Landtagsliste abgesägt werden werde. Gleichzeitig warf Meuthen Alice Weidel vor, den von ihm als „glasklaren Rechtsextremisten“ bezeichneten Matthias Helferich mit allen Mitteln zu unt…
📱 Vom TikTok-Star zum innerparteilichen Streitfall: Maximilian Krahs Wandel in der AfD
Seit Monaten sorgt er mit seinem Kurs für Aufsehen. Seine Distanzierungen von früheren Positionen und die Reaktionen darauf haben eine breite Debatte entfacht. Und wie denkt die AfD-Führung darüber? Die neue FREILICH-Analyse dröselt das alles auf.
Link zum Artikel: https://www.freilich-magazin.com/politik/vom-tiktok-star-zum-stre…
custom 524711450704141005717💯9👍6🤬3🔥2👏1
Showing the 12 most recent of 20 posts we hold for @zurlage. 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.
Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.
Citation-graph rank
Citation-graph rank — 286,446 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
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.
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.
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 11 August 2026 — this
entry's latest reading, not the date you are reading this.
“Zur Lage 🔔 Rundbrief” (@zurlage), 1,522 subscribers as measured 11 August 2026. Telegram Register, tgregister.com/channel/zurlage.
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.
