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Channel

NUR SHAEF-Gesetze gültig

@Nur_SHAEF_Gesetze

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Polls · Citations · Handles named that no longer answer · Cite this entry

6,166subscribers

-40 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001316651230
TypeChannel
Username@Nur_SHAEF_Gesetze
Created15 November 2021 — measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live8 November 2026
Measurements held25
Confirmed unchanged1 time, most recently 8 November 2026
On Telegramt.me/Nur_SHAEF_Gesetze

Topic

Politics & activism — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 12 September 2026 and assigned it the closest of 31 fixed categories, at 98% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and the other topics.

Growth

6,1666,2126,1896 August 2026 — 6,206 subscribers6 August 2026 — 6,206 subscribers7 August 2026 — 6,204 subscribers9 August 2026 — 6,200 subscribers12 August 2026 — 6,206 subscribers16 August 2026 — 6,205 subscribers19 August 2026 — 6,208 subscribers25 August 2026 — 6,212 subscribers28 August 2026 — 6,208 subscribers31 August 2026 — 6,210 subscribers3 September 2026 — 6,206 subscribers8 September 2026 — 6,200 subscribers12 September 2026 — 6,195 subscribers17 September 2026 — 6,193 subscribers26 September 2026 — 6,180 subscribers5 October 2026 — 6,178 subscribers11 October 2026 — 6,186 subscribers15 October 2026 — 6,185 subscribers21 October 2026 — 6,184 subscribers24 October 2026 — 6,182 subscribers27 October 2026 — 6,184 subscribers29 October 2026 — 6,177 subscribers1 November 2026 — 6,175 subscribers4 November 2026 — 6,170 subscribers8 November 2026 — 6,166 subscribers6 August 20268 November 2026
25 measurements spanning 94 days, net -40. 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 6,159–6,219 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 25
Measured (UTC)SubscribersChange
8 Nov 2026, 03:006,166-4
4 Nov 2026, 20:416,170-5
1 Nov 2026, 18:416,175-2
29 Oct 2026, 23:576,177-7
27 Oct 2026, 09:076,184+2
24 Oct 2026, 03:596,182-2
21 Oct 2026, 10:076,184-1
15 Oct 2026, 00:466,185-1
11 Oct 2026, 16:166,186+8
5 Oct 2026, 02:166,178-2
26 Sept 2026, 14:596,180-13
17 Sept 2026, 03:586,193-2
12 Sept 2026, 20:166,195-5
8 Sept 2026, 12:586,200-6
3 Sept 2026, 10:096,206-4
31 Aug 2026, 02:436,210+2
28 Aug 2026, 11:126,208-4
25 Aug 2026, 20:336,212+4
19 Aug 2026, 11:546,208+3
16 Aug 2026, 17:536,205first reading

Engagement

41 posts held, back to 25 April 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 14 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
36.8%
avg views ÷ 6,166 subscribers
Avg views / post
2,270
5 posts measured
Reaction rate
1.71%
reactions ÷ views · ER floor
Posts in window
5
of 41 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
WindowRolling 30 days · latest post in window 6 November 2026
Posts held41 (25 April 2026 – 6 November 2026)
Views total11,354
Reactions total194
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken6 Nov 2026, 16:43 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
3h 17m
Average length
10m 23s

Measured directly from 19 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

2,104 reactions across 41 posts, in 4 distinct kinds. The most used accounts for 72.1% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍1,51872.1%
❤49523.5%
🤔653.09%
🥰261.24%

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 41 of the 41 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 2,104 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 41 most recent posts we hold, published 25 April 2026 to 6 November 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

Telegram’s own ‘edited’ marker: 1 of 5 posts held from the last 30 days (20.0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).

6 Nov 2026, 10:52 UTC584 views13 reactionsread 6 November 2026
Forwarded from @Verbotene_HistorieVideo

💥Die Märchenwelt des gesunden Essens🚨 Viel Chemie statt Natur: Gibt es keine Gesetze, die uns schützen? — Jack Raven Folge: @Verbotene_Historie ✅

👍8❤5

1 Nov 2026, 09:31 UTC≈1,950 views13 reactionsread 6 November 2026
File

Du musst einfach noch härter arbeiten 😉 Der Kernpunkt bleibt Unabhängig von der genauen Bezugsgröße (15, 20 oder 22 Mio.): Die Last liegt nicht gleichmäßig verteilt. Sie trifft überlproportional die mittlere und obere Einkommensgruppe im Privatsektor, weil: Die untere Hälfte der Haushalte ist ohnehin Nettoempfänger (DIW: 43 % mit Sozialversicherungen) Die 5,5 Mio. Staatsbediensteten zahlen zwar Lohnsteuer, aber aus …

👍12🤔1

26 Oct 2026, 18:19 UTC≈2,740 views88 reactionsread 6 November 2026
Photo

Photo, posted without a caption

👍77❤8🥰2🤔1

21 Oct 2026, 09:38 UTC≈3,390 views9 reactionsread 6 November 2026
Forwarded from @FaktenZurWahrheitsfindungVideo

Terror als Werkzeug der Machtakkumulation? | Dawid Snowden Gern dürft ihr auch den Kanal betreten, oder den Beitrag teilen..... @FaktenZurWahrheitsfindung #NetzFund

❤9

20 Oct 2026, 13:55 UTC≈2,690 views71 reactionsread 6 November 2026
Forwarded from @VereinWIRPhoto

⚖️ Wenn das Recht vor der Macht kniet, steht die Freiheit bereits auf dem Schafott‼️ An meine Mitstreiter, meine Mitmenschen, und ganz besonders an meine Gegner, Verleumder und jene, die sich hinter staatlicher Macht und politischen Ämtern verstecken. Alles wird umgangen. Wirklich alles. Gesetze, Grundrechte, demokratische Kontrolle und rechtsstaatliche Prinzipien. Wo Macht über Recht gestellt, Wahrheit der Karrie…

👍62❤8🤔1

11 Oct 2026, 16:01 UTC≈2,610 views33 reactionsread 6 November 2026
Forwarded from @parageaf513dschungelVideo

dies wird in keiner Schule 🏫 beigebracht nicht ohne Grund 🕹 ein Lied geht auf Reisen wenn du möchtest kannst du es auch zu deinem Umkreis führen ‼ TEILEN TEILEN TEILEN ‼ ──────⊱◈◈◈⊰────── wenn unsere Kinder gelernt bekommen ⁉ weshalb nicht im Leben etwas beibringen was allen nützlich...... ──────⊱◈◈◈⊰────── ... ⏰🐇 noch zu finden: https://t.me/parageaf513dschungel paragafen/dschugel 🌿🌹🌿🌹🌿💫🌿🌹🌿🌹🌿

❤30👍3

11 Oct 2026, 11:47 UTC≈2,350 views20 reactionsread 6 November 2026
Video

offiziell berichtet von der ARD 🇩🇪 Genscher: "Im Gegenzug verspricht der Westen die NATO nicht weiter nach Osten vorrücken zu lassen….“ "ein Versprechen von kurzer Lebensdauer" Der damalige Aussenminister Hans-Dietrich Genscher hat es damals klipp und klar in die Kamera gesagt - und 1990 gab es noch nicht viele Medien - das was das ARD sendete war sozusagen Gesetz...und nun streiten sie es selbst ab, lol Teile die…

👍20

11 Oct 2026, 11:47 UTC≈2,740 views14 reactionsread 6 November 2026

Es ist nicht entscheidend wer den ersten Schuss abgegeben hat, Entscheidend ist was vorher geschehen ist.⬇️

❤14

11 Oct 2026, 09:11 UTC≈2,700 views66 reactionsread 6 November 2026
Video

🤍😇.... perfekt erklärt ☺️

👍53❤9🥰3🤔1

9 Oct 2026, 17:39 UTC≈2,740 views69 reactionsread 6 November 2026
Forwarded from @daswurdeglattvergessenVideo

Flagge zeigen....

❤41👍28

7 Oct 2026, 10:15 UTC≈3,760 views36 reactionsread 6 November 2026

1. Die Gesamtkosten des öffentlichen Dienstes Deutschland hat rund 5,5 Millionen Beschäftigte im öffentlichen Dienst (inklusive Beamte, Richter, Soldaten und Angestellte). Personalkosten: Die reinen Kosten für Löhne, Gehälter und Sozialleistungen der Staatsbediensteten belaufen sich auf etwa 350 bis 400 Milliarden Euro pro Jahr (über alle Ebenen von Bund, Ländern und Gemeinden hinweg). Pensionen: Hinzu kommen jährlic…

👍26🤔7❤3

3 Oct 2026, 08:28 UTC≈3,250 views39 reactionsread 6 November 2026
Forwarded from @FaktenZurWahrheitsfindungVideo

Das Geburtsrecht auf Erde | Dawid Snowden Gern dürft ihr auch den Kanal betreten, oder den Beitrag teilen..... @FaktenZurWahrheitsfindung #NetzFund

👍25❤14

Showing the 12 most recent of 41 posts we hold for @Nur_SHAEF_Gesetze. 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.

Polls

The poll we hold for this entry, as Telegram rendered it when we read the post. A poll’s figures keep moving after that, so each one is dated.

25 Apr 2026, 09:05 UTCAnonymous Poll257 voters

Immobilien sichern? Ich habe mit einem Juristen, der schon lange ein Dorn in der Haut des Systems ist, ein Konzept zur Sicherung von Immobilen erarbeitet. Frage wäre, besteht Bedarf, wenn ja, was wäre für dich hilfreich ?

  1. 3 Vorschläge mit Erläuterung als PDF zur eigenen Umsetzung, gegen eine freiwillige Spende?70%
  2. Online Seminar max 20 Teilnehmer, mit der Möglichkeit, z.B. Zoom, gegen Kostenpauschale?12%
  3. Vor Ort Seminar, welches ihr organisiert?7%
  4. persönliche Einzelfallberatung?11%

Shares as published. No per-option vote count is published by Telegram, so none is shown.

Percentages only — there are no per-option vote counts here, because Telegram publishes none. The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.

The shares need not add up to 100. Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.

Read from the 41 most recent posts we hold, published 25 April 2026 to 6 November 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.

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.

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

“NUR SHAEF-Gesetze gültig” (@Nur_SHAEF_Gesetze), 6,166 subscribers as measured 8 November 2026. Telegram Register, tgregister.com/channel/Nur_SHAEF_Gesetze.

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.