9 measurements spanning 6 days, net -43. 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 32,583–32,638 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
12 Aug 2026, 06:52
32,589
-11
11 Aug 2026, 04:11
32,600
-9
10 Aug 2026, 04:41
32,609
-4
9 Aug 2026, 02:01
32,613
-2
8 Aug 2026, 04:36
32,615
-10
7 Aug 2026, 07:55
32,625
-4
6 Aug 2026, 08:00
32,629
-3
6 Aug 2026, 02:45
32,632
no change
6 Aug 2026, 02:38
32,632
first reading
Engagement
35 posts held, back to 22 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 17 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
33.4%
avg views ÷ 32,589 subscribers
Avg views / post
10,900
35 posts measured
Reaction rate
5.35%
reactions ÷ views · ER floor
Posts in window
35
of 35 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 11 August 2026
Posts held
35 (22 July 2026 – 11 August 2026)
Views total
380,980
Reactions total
20,401
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
12 Aug 2026, 21:13 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
≈1,080
Videos
≈376
Links
≈1,640
Lifetime counters from Telegram’s own channel header, read 12 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
10m 39s
Average length
1m 04s
Measured directly from 10 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
16,589 reactions across 29 posts, in 22 distinct kinds. The most used accounts for 65.7% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
10,902
65.7%
🤬
1,596
9.62%
🔥
1,461
8.81%
❤
1,411
8.51%
👏
378
2.28%
😁
355
2.14%
🙏
156
0.94%
😭
65
0.392%
🙈
51
0.307%
😈
49
0.295%
😢
30
0.181%
👌
26
0.157%
😱
26
0.157%
🥰
24
0.145%
😡
11
0.066%
🤯
10
0.06%
🎉
9
0.054%
🏆
8
0.048%
👀
8
0.048%
🤔
8
0.048%
2 further kinds
5
0.03%
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 35 of the 35 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 20,401reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 35 most recent posts we hold, published 22 July 2026 to 11 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.
Jüngste Enthüllungen aus den Vereinigten Staaten brachten zutage, dass der ehemalige US-Chef-Immunologe Anthony Fauci intern vor möglichen Fehlgeburten durch die Corona-Impfung warnte, während er öffentlich deren Unbedenklichkeit für Schwangere beteuerte.
„Es geht um Lügen, schwere Gesundheitsschäden und Vertuschung bis heute. Das globale Corona-Lügengebäude stürzt Stück für Stück in sich zusammen. Nun ist klar, die…
Die Parteichefin der Grünen, Leonore Gewessler, hat am Montag den Reigen der jährlichen ORF-„Sommergespräche“ eröffnet. Was man dabei sehen konnte: purer Autofahrer-Hass und die Bevormundung von Familien.
Die Bürger haben es satt, sich von grünen Phantasten alles vorschreiben zu lassen. Österreich braucht Freiheit statt eines grünen Überwachungsstaates!
Während unsere Bauern aufgrund der Dürrekatastrophe um ihre Existenz kämpfen, zeigt SPÖ-Finanzminister Marterbauer ihnen die kalte Schulter.
Für Nussbauern in Afrika, Gender-Projekte in Südamerika und dubiose NGOs im Ausland werden hunderte Millionen locker gemacht – aber wenn die heimische Landwirtschaft Hilfe braucht, ist plötzlich kein Geld da. Diese Prioritätensetzung zeigt einmal mehr, für wen diese Regierung Po…
Die ÖVP wollte mit ihrem neuen KI-Chatbot „ida“ offenbar digitale Kompetenz beweisen – und liefert stattdessen künstliche Inkompetenz. 🤦♂️
Schon nach wenigen Minuten erfindet die KI ihre eigene Bundesregierung, macht Karoline Edtstadler zur Außenministerin und Beate Meinl-Reisinger zur Staatssekretärin.
Für uns ist klar: Nach dem Millionengrab „Kaufhaus Österreich“ darf es nicht das nächste sündteure Digital-Debak…
Während bei den Menschen die Sendeanlagen abgedreht werden, werden die Spitzenjobs im ORF weiterhin fleißig vergeben. Für FPÖ-Generalsekretär Christian Hafenecker ist klar: Es muss sehr schnell zu einer nachhaltigen ORF-Reform kommen. Und vor allem gehört diese elende Zwangsgebühr sofort eingestampft und abgeschafft!
Während die Österreicher weiterhin die ORF-Zwangsgebühr bezahlen müssen, sollen laut einem internen Papier 72 Sendeanlagen abgeschaltet werden. Rund 64.000 Menschen in acht Bundesländern wären davon betroffen – vor allem im ländlichen Raum. FPÖ-Generalsekretär Christian Hafenecker stellt klar: Auf der einen Seite keine Leistung, auf der anderen Seite aber trotzdem Zwangsgebühren zahlen. Das geht sich in unserer Rechn…
Die SPÖ wirtschaftet das Burgenland in den Ruin! FPÖ-Landesparteiobmann Alexander Petschnig deckt bei „AUSTRIA FIRST Mein Daheim“ die verheerende Finanzpolitik von Landeshauptmann Doskozil auf. Eine Milliarde Defizit und der Kauf von Pleitebetrieben auf Kosten der Steuerzahler – so sieht die rote Realität aus. Es braucht endlich einen Kurswechsel, bevor unser Wohlstand komplett vernichtet ist!
AUSTRIA FIRST MEIN DAH…
Ein unfassbarer Skandal im ORF erschüttert die heimische Medienlandschaft: Wie aktuell berichtet wird, plant der Staatsfunk, Sendeanlagen in acht Bundesländern ersatzlos abzuschalten. Dass die davon betroffenen Seher weiterhin die ORF-Zwangsabgabe zahlen müssen, ist den Küniglbergern offenbar egal. Doch auch sonst geht es im ORF drunter und drüber. Mehr dazu HEUTE in einer Pressekonferenz. Sei dabei – ab 10:30 Uhr au…
„Betreuung würde ich nicht als Arbeit sehen!“ – Diese Aussage von Bundeskanzler Christian Stocker zeigt eine erschreckende Geringschätzung jener Menschen, die tagtäglich Kinder betreuen. Wer Kinder großzieht, den Alltag organisiert, sie versorgt und Verantwortung übernimmt, leistet harte Arbeit – und das oft rund um die Uhr. Es sind vor allem Frauen, die diese enorme Leistung für ihre Familien und damit für unsere Ge…
Diese unfassbare Herzlosigkeit in Stockers Worten ist ein Spiegelbild der eiskalten Belastungspolitik dieser Verlierer-Koalition. Wenn es darum geht, die eigene Bevölkerung zur Kasse zu bitten, kennt diese Regierung keine Gnade. Für das eigene System, für Versorgungsposten und für die Asylindustrie ist den Herrschaften nichts zu teuer, aber für die Familien, die dieses Land am Laufen halten, hat man nur zynische Komm…
72.000 Migranten sind in Ceuta bereits eingedrungen. Nun planen sie den NÄCHSTEN ANSTURM: In einer Kampagne wird dazu aufgerufen, am 15. August die beiden spanischen Exklaven Ceuta und Melilla zu stürmen.
Beruhigt hat sich also rein GAR NICHTS! Immer noch machen Tausende illegale Migranten die Straßen in Ceuta unsicher, Einwohner leben in Angst und Schrecken, Schleuser bieten Jetski-Überfahrten an. Nun droht also ei…
👍487🤬127🔥40❤18😡6
Showing the 12 most recent of 35 posts we hold for @HKickl. 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 — 25,131 of 1,151,006entries 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.
Cross-platform identity — Wikidata
A Wikidata item names this Telegram handle as belonging to the entity it describes. This is Wikidata’s claim, not a verification made by this register — nobody here confirmed that the account is genuinely operated by the entity named. Wikidata content is CC0; every fact below is dated to when it was read from Wikidata, not to when the association was first made there.
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.
“Herbert Kickl” (@HKickl), 32,589 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/HKickl.
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.
