Channel
@El_Imigrante_Show
On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry
875subscribers
+27 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1002390360681 |
|---|---|
| Type | Channel |
| Username | @El_Imigrante_Show |
| Created | Between 1 September 2024 and 31 March 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 13 August 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 1 time, most recently 13 August 2026 |
| On Telegram | t.me/El_Imigrante_Show |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 13 Aug 2026, 02:14 | 875 | +27 |
| 6 Aug 2026, 14:50 | 848 | no change |
| 6 Aug 2026, 04:51 | 848 | first reading |
16 posts held, back to 3 August 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 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.
| Window | Rolling 30 days · latest post in window 6 August 2026 |
|---|---|
| Posts held | 16 (3 August 2026 – 6 August 2026) |
| Views total | 11,249 |
| Reactions total | 179 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 6 Aug 2026, 14:50 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.
179 reactions across 16 posts, in 17 distinct kinds. The most used accounts for 23.5% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👏 | 42 | 23.5% | |
| 💯 | 37 | 20.7% | |
| 🤡 | 17 | 9.50% | |
| 🤮 | 17 | 9.50% | |
| 😢 | 13 | 7.26% | |
| 😱 | 10 | 5.59% | |
| ❤ | 8 | 4.47% | |
| 😁 | 8 | 4.47% | |
| 🔥 | 7 | 3.91% | |
| 👍 | 4 | 2.23% | |
| 😡 | 4 | 2.23% | |
| 🤝 | 4 | 2.23% | |
| 😭 | 2 | 1.12% | |
| 🤔 | 2 | 1.12% | |
| 🥱 | 2 | 1.12% | |
| 🙏 | 1 | 0.559% | |
| 🤣 | 1 | 0.559% |
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 16 of the 16 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 179reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 16 most recent posts we hold, published 3 August 2026 to 6 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.
Wem gehören die Medien? Wem gehört die Filmindustrie? Wer half den Eliten jahrelang im Verborgenen zu agieren? Was sagt David Rockefeller? Wer betreibt ein Genozid und hat die moralischste Armee? Damit sei alles gesagt!
💯9🔥2👏1
Das zionistische Blatt BILD möchte Spanien retten, aber für Deutschland hat es eine andere Agenda im Blick. Zwei Mal BILD mit zwei verschiedenen Aussagen. Warum die BILD immer noch so beliebt ist bei den Deutschen, liegt wahrscheinlich an der kognitiven Dissonanz. Schauen wir, wann die deutschen Bürger das selber merken.
🤮6🔥2
Uii ein neues Virus 😬
😁6❤1👏1🤣1😱1
Globale Israelisierung, die Technikfreaks der Rechten und das Projekt zur Bewältigung eines wachsenden männlichen „Überschusses“ Rainer Shea Wenn ich von „Israelisierung“ spreche, meine ich im kulturellen Sinne den Einsatz von Sex und Drogen, um die Realität zu verschleiern. Die Kolonialgesellschaft im besetzten Palästina nutzt diese sozialen… https://uncutnews.ch/globale-israelisierung-die-technikfreaks-der-recht…
🤮8
Die Gier nach Geld! Das Geld, was uns zu Sklaven macht! Das kein Land besitzen, was uns zu Geld führt! Familien, die kaputt gehen wegen Geld! Mütter, die Kinder vom Vater wegnehmen, damit sie nicht arbeiten gehen müssen und dem Vater das Geld ausquetschen! Der Vater, der nichts mehr aufbauen kann, weil das Geld zur Mutter fließt und beim Jobcenter gegengerechnet wird. Das Jugendamt ist ein Wirtschaftsmodell, und es …
👏6💯6😢4❤1🤔1
☝️🇺🇸🇮🇱Tucker Carlson sagt, die USA/Israel seien schuld an der muslimischen Invasion Spaniens ⚡️Abo → @uncut_news
💯9👏2
In der Nacht hat der Iran mit einer Drohne Kuwaits Army Basra wieder in Flammen gelegt. Soviel dazu, dass die Iraner nicht wollen, dass Sleepy Trump den sie attackiert 😁 Die USA haben keine Abwehrraketen mehr 😁 Ihre Soldaten schlafen in Ziegenhäusern, weil die Hotels sie nicht aufnehmen wollen 😁 Sie können nicht einmal frei herumlaufen wie früher, weil sie jetzt öfters von Bürgern attackiert werden. Alle Radaran…
❤4👍4🤝4👏1
Sleepy Trump 😉 In was für einer Welt lebt der Typ eigentlich 😁 Das ist ja schon so wie bei der Merkel 😁 Alle wussten etwas, aber Merkel merkte es nicht und wusste es nicht. Gleiches für sleepy Trump. Alle wissen, dass die USA verloren haben und das wirklich jeden Angriff, aber ihm erzählt man das nicht. Ob der Typ mit irgendeiner KI telefoniert und glaubt, er ist der Deal Maker? Trump sagt: Präsident Trump sagt…
🤡7🔥2
Wenn man jetzt über Zivildienst spricht, dann ist die Wehrpflicht (Kriegsdienst) nicht weit entfernt
💯8
So sehen Israelis wirklich aus. Kann einer von euch den Typen von einem Araber unterscheiden?🧐 Wenn nein, dann eine kurze Frage! Breitscheidplatz Weihnachtsmarkt?🤔 CSD Berlin?🤔 Keine weiteren Fragen!😉 🇮🇱Bar Asraf, ein 30-jähriger Israeli, der den Angriff auf das Nova-Festival am 7. Oktober überlebte, hat sich am Grab seiner Freundin das Leben genommen. Die Freundin, Liron Barda, wurde an jenem Tag beim Festival …
💯5👏3🤮3❤1🔥1🙏1
Unermüdlich diese Zerstörer 🤪 Während sich vier Fünftel der Welt von der Normativität des Klimawandels abwenden, um Wohlstand zu schaffen, erzählen uns die Jüngeren der Klimalüge bis heute unverdrossen ihre Märchen. Sie selbst fliegen mehr als jeder normale Mensch und lassen sich in dicken Dienstwagen kutschieren. Ihr Erfolg beruht allein darauf, dass sie ihre Lügen immer und immer wieder wiederholen.
🤡10🤔1
Heute in Russland. Morgen in Deutschland? Schockierende Aufnahmen sind aufgetaucht: Ein Angriff 🇺🇦 ukrainischer Nazis auf Arkhipo-Osipovka bei Gelendzhik. Drei Menschen tot. Dreizehn verletzt – darunter Kinder. Blut, Schreie, zerstörte Leben. Mitten im Alltag. Das ist kein ferner Krieg. Das ist die Realität. Heute dort. Morgen… hier? Sag NEIN zum Kriegsdienst!
😢9😡4😁1
Showing the 12 most recent of 16 posts we hold for @El_Imigrante_Show. 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 — 114,756 of 1,345,403entries 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.
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.
Named by 2 registered channels — 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.
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 13 August 2026 — this entry's latest reading, not the date you are reading this.
“The El Imigrante Show - Original” (@El_Imigrante_Show), 875 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/El_Imigrante_Show.
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.