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*. Wer waren wir, . . wer sind wir, was wollen wir sein?

@die_deutsche_Geschichte

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

558subscribers

+3 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-1001355293082
TypeChannel
Username@die_deutsche_Geschichte
Created26 January 2021measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded7 August 2026
Last confirmed live16 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 16 August 2026
On Telegramt.me/die_deutsche_Geschichte

Growth

5545585567 August 2026 — 555 subscribers7 August 2026 — 555 subscribers8 August 2026 — 554 subscribers16 August 2026 — 558 subscribers7 August 202616 August 2026
4 measurements spanning 9 days, net +3. 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 553–559 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
16 Aug 2026, 04:04558+4
8 Aug 2026, 03:24554-1
7 Aug 2026, 10:48555no change
7 Aug 2026, 09:56555first reading

Engagement

9 posts held, back to 5 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 1 pageof Telegram’s post history, 20 posts per page.

ERR · 30 days
10.4%
avg views ÷ 558 subscribers
Avg views / post
58.2
9 posts measured
Reaction rate
2.91%
reactions ÷ views · ER floor
Posts in window
9
of 9 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 6 of 9 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 held9 (5 August 20267 August 2026)
Views total524
Reactions total13
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 10:48 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.

Reaction mix

13 reactions across 6 posts, in 2 distinct kinds. The most used accounts for 61.5% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍861.5%
538.5%

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 6 of the 9 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 13reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 9 most recent posts we hold, published 5 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, 09:51 UTC18 viewsread 7 August 2026
Forwarded from @lichtweltverlagPhoto

DIE FASZINATION DER DEUTSCHEN SPRACHE Der deutsche Dichter Johann Wolfgang von Goethe sagte einmal: „Was ich an der deutschen Sprache am meisten bewundere, ist ihre Struktur. Die mathematische sprachliche Struktur fasziniert mich. Es ist vergleichbar mit Schach: Es gibt wenige und klare Regeln, jedoch unbegrenzte Möglichkeiten. In vielen anderen europäischen Sprachen hingegen sind die Anwendbarkeit der Regeln stets

Signed hans : d r e s s l e r

7 Aug 2026, 09:02 UTC25 viewsread 7 August 2026

🇷🇺 PUTINS NEUES KRYPTO-GESETZ HAT ALLE ANDEREN KRYPTOWÄHRUNGEN AUSGESCHALTET... XRP IST DIE EINZIGE, DIE NOCH BESTEHT 🤯 Putin unterzeichnet Russlands ERSTES umfassendes Krypto-Gesetz... und die Auswirkungen sind für 99 % des Marktes ABSCHEULICH 😳 Privatanleger sind eingeschränkt. Inländische Zahlungen sind verboten. Nur die "liquidesten" Kryptowährungen dürfen über lizenzierte Vermittler gehandelt werden. Das Chaos

Signed hans : d r e s s l e r

7 Aug 2026, 08:57 UTC35 viewsread 7 August 2026
Photo

Neuigkeiten zum Clarity ACT Quelle X 🍿 ABSCHLUSS GENERAL PATTON 🍿 Gene Ho sagt: XRP braucht keinen Clarity ACT um zu funktionieren 🍿 Wichtig ‼️ 17 Großbanken haben ein alternatives XRP System 🍿 Deadline 7. August wird spannend 🍿 Clarity ACT = Das Ende des Sklaven Finanzsystems QFS, Häuser, Autos... alles kommt auf die Blockchain und der Deepstate hat keinen Zugriff 🍿 Der Clarity ACT & XRP ersetzen das Sklaven Fin

Signed hans : d r e s s l e r

6 Aug 2026, 20:59 UTC61 views4 reactionsread 7 August 2026
Photo

Die Verdrehung der Wörter Nachfolgend ein weiteres Beispiel aus dem deutschen Sprachgebrauch: Familie: “Familie“ stammt etymologisch aus dem Lateinischen “familia“ und bezeichnete ursprünglich den gesamten Besitz eines Hausherren – einschließlich und vor allem die Sklaven, Diener und die Nutztiere. Die Wurzel “famulus“ bedeutet “Diener“ oder tatsächlich “Sklave“. Im römischen Kontext war “familia“ also keine Bezei

👍31

Signed hans : d r e s s l e r

6 Aug 2026, 20:10 UTC61 views2 reactionsread 7 August 2026
Photo

Römer, Griechen, Mittelalter; So wurde unsere Geschichte gefälscht! ⁄⁄ Dr. Gerd Reuther - https://www.youtube.com/watch?v=GpJMivKkXsg&pp=ygVgUsO2bWVyLCBHcmllY2hlbiwgTWl0dGVsYWx0ZXI7IFNvIHd1cmRlIHVuc2VyZSBHZXNjaGljaHRlIGdlZsOkbHNjaHQhIOKBhOKBhCBEci4gR2VyZCBSZXV0aGVyIC0g

2

Signed hans : d r e s s l e r

6 Aug 2026, 11:32 UTC80 views2 reactionsread 7 August 2026
Forwarded from @tutmirgutPhoto

Manchmal sind es nicht unsere Träume, die kleiner werden. Es sind die Menschen um uns herum, die uns glauben lassen, dass wir sie nicht erreichen können. Achte darauf, mit wem du deine Zeit verbringst. Denn dein Umfeld beeinflusst deine Gedanken, deine Entscheidungen und am Ende auch dein Leben. Umgib dich mit Menschen, die dich inspirieren, an dich glauben und dich wachsen sehen wollen - nicht mit denen, die deine V

1👍1

Signed hans : d r e s s l e r

6 Aug 2026, 11:11 UTC76 views2 reactionsread 7 August 2026
Video

7 weitere Bauwerke in Deutschland, die niemand erklären kann - https://www.youtube.com/watch?v=VeIo_KeI25A&pp=ygVANyB3ZWl0ZXJlIEJhdXdlcmtlIGluIERldXRzY2hsYW5kLCBkaWUgbmllbWFuZCBlcmtsw6RyZW4ga2FubiAtIA%3D%3D

👍2

Signed hans : d r e s s l e r

6 Aug 2026, 10:40 UTC76 views2 reactionsread 7 August 2026
Photo

8 Dinge, Die Ein Dummer Mann Immer Sagt | Stoische Philosophie - https://www.youtube.com/watch?v=TCZlMLZ8u00&pp=ygVDOCBEaW5nZSwgRGllIEVpbiBEdW1tZXIgTWFubiBJbW1lciBTYWd0IO-9nCBTdG9pc2NoZSBQaGlsb3NvcGhpZSAtINIHCQm-CwGHKiGM7w%3D%3D

👍2

Signed hans : d r e s s l e r

5 Aug 2026, 18:45 UTC92 views1 reactionsread 7 August 2026
Video

Deutsches Reich... ☝️🤨

1

Signed hans : d r e s s l e r

Showing the 9 most recent of 9 posts we hold for @die_deutsche_Geschichte. 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 — 1,326,323 of 1,481,217entries 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.

Republishes

Channels on the register whose posts this channel has forwarded.

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

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

“*. Wer waren wir, . . wer sind wir, was wollen wir sein?” (@die_deutsche_Geschichte), 558 subscribers as measured 16 August 2026. Telegram Register, tgregister.com/channel/die_deutsche_Geschichte.

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.