Channel
@shirtzshop
On this record: Topic · Growth · Engagement · Reactions · Posts · Citations · Cite this entry
266subscribers
-2 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1001656891182 |
|---|---|
| Type | Channel |
| Username | @shirtzshop |
| Created | 29 September 2022 — measured — cross-checked against a third-party dataset (ext.tg_channel) |
| First recorded | 7 August 2026 |
| Last confirmed live | 15 September 2026 |
| Measurements held | 5 |
| Confirmed unchanged | 1 time, most recently 15 September 2026 |
| On Telegram | t.me/shirtzshop |
Ecommerce storefront — 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 23 September 2026 and assigned it the closest of 31 fixed categories, at 99% 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 why it has no browse page of its own yet.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 15 Sept 2026, 18:16 | 266 | -2 |
| 28 Aug 2026, 17:28 | 268 | +1 |
| 22 Aug 2026, 18:04 | 267 | -1 |
| 7 Aug 2026, 00:31 | 268 | no change |
| 6 Aug 2026, 09:58 | 268 | first reading |
20 posts held, back to 14 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 page of Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 20 posts for this entry, the most recent from 2 August 2026. An engagement rate over an empty window would be a number about nothing.
8 reactions across 4 posts, in 3 distinct kinds. The most used accounts for 37.5% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 3 | 37.5% | |
| 💯 | 3 | 37.5% | |
| 👌 | 2 | 25.0% |
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 4 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 8 reactions 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 14 July 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.
Wenn Liebe schon radikal ist, sagt das mehr über das System als über uns. Während sie diffamieren und ausgrenzen, reden wir über Verantwortung, Sicherheit und Realität. Das nennen sie „Hass“. Wir nennen es Konsequenz. Anziehsache, hier scrollen: https://amzn.to/45xEF8V
„Sei mehr wie Marla.“ Nymph0mane SystemficXerin als Kampfansage: nicht anpassen, nicht kuschen. Exil statt Gehorsam, ECHTE Haltung statt Karriere. Das System hasst dich nicht für Fehler, sondern für Rückgrat. Anziehsachen, auch für den Winter: https://ebay.us/uRVFyV
Es geht nicht um das Wort „Chaos“. Es geht um den Sinn dahinter. Projekt Chaos heißt: das System so lange stören, bis seine Lügen sichtbar werden. Nicht zerstören, sondern entlarven. Kontrolle durch Klarheit. Anziehsachen: https://amzn.to/4pSQRYW
❤1
Wenn Wahlen angeblich nichts ändern, warum dann diese Panik vor der AfD? Medien, Parteien, NGOs – alle trommeln im Gleichschritt. Wer Macht wirklich spürt, fürchtet den Stimmzettel. Nicht die Leute. #NurAfD Anziehsachen: https://amzn.to/4sWfdUE
DIE BESTE FESTUNG jeder Diktatur ist nicht die Polizei. Nicht die Gesetze. Nicht mal die Propaganda. Es ist der brave, gehorsame Nachbar, der „nur seine Pflicht“ macht. 👁 Wer Freiheit will, muss zuerst den Gehorsam verlernen. Motiv im Shop: https://my.shirtzshop.de/die-beste-festung-der-diktatur/22882
💯1
Wer interessieren will, muss provozieren. (Dali) #MarlasArmy Shirt in 6 Farben auf: https://ebay.us/6Zg8tN
Nicht nur im Sommer und nicht nur im Freibad. #Badeanstaltterror Shirt in 6 Farben: https://ebay.us/k81WNT
Nur symbolisch versteht sich. #GEZ #Zwangsgebühr Shirt in 6 Farben: https://amzn.to/49wYy2l
Das Schlimmste an Plattformverboten ist nicht das Schweigen. Sondern dass man sie Demokratie nennt. Zum Motiv auf Anziehsachen Eurer Wahl https://ebay.us/SfG2qA
Nicht nur im Sommer und nicht nur im Freibad. #Badeanstaltterror Shirt in 6 Farben: https://ebay.us/k81WNT
Die Union ruiniert das Land seit Jahrzehnten und verkauft Stillstand als Stabilität. Keine Reform, keine Verantwortung, nur Machtverwaltung. Wer Deutschland ernst meint, muss endlich mit diesem System brechen. Shirt mit dezentem Brustdruck: https://ebay.us/4nd5sO
Marla’s Army nennt man „radikal“, dabei ist es nur das, was fehlt: Leute, die das System nicht mehr entschuldigen, sondern benennen. Wenn Regeln nur nach oben gelten, ist Widerstand kein Extrem, sondern Konsequenz. Anziehsachen: https://amzn.to/4jSwLwy
Showing the 12 most recent of 20 posts we hold for @shirtzshop. 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.
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.
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.
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 15 September 2026 — this entry's latest reading, not the date you are reading this.
“Shirtzshop - Protestshirts und mehr” (@shirtzshop), 266 subscribers as measured 15 September 2026. Telegram Register, tgregister.com/channel/shirtzshop.
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.