This channel’s posts match, word for word or near enough, posts on 1 other registered channel, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.
Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.
10 measurements spanning 26 days, net +233. 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 7,204–7,507 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
2 Sept 2026, 16:36
7,472
+43
30 Aug 2026, 09:03
7,429
+12
27 Aug 2026, 16:56
7,417
+8
24 Aug 2026, 19:03
7,409
+22
21 Aug 2026, 00:03
7,387
+50
17 Aug 2026, 15:59
7,337
+3
14 Aug 2026, 19:24
7,334
+24
11 Aug 2026, 12:12
7,310
+61
8 Aug 2026, 02:04
7,249
+10
7 Aug 2026, 18:46
7,239
first reading
Engagement
31 posts held, back to 30 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 13 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
27.3%
avg views ÷ 7,472 subscribers
Avg views / post
2,040
23 posts measured
Reaction rate
0.719%
reactions ÷ views · ER floor
Posts in window
23
of 31 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 25 August 2026
Posts held
31 (30 July 2026 – 25 August 2026)
Views total
46,847
Reactions total
337
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
28 Aug 2026, 23:16 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
5m 58s
Average length
33s
Measured directly from 11 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
428 reactions across 31 posts, in 21 distinct kinds. The most used accounts for 54.2% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
232
54.2%
❤
57
13.3%
💅
27
6.31%
🫡
23
5.37%
🤮
21
4.91%
💩
16
3.74%
👎
11
2.57%
🤡
11
2.57%
👍
7
1.64%
😁
5
1.17%
🕊
3
0.701%
😈
3
0.701%
🤣
3
0.701%
😱
2
0.467%
✍
1
0.234%
🎄
1
0.234%
👾
1
0.234%
💊
1
0.234%
💯
1
0.234%
🖕
1
0.234%
1 further kind
1
0.234%
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 31 of the 31 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 428 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 31 most recent posts we hold, published 30 July 2026 to 25 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.
Maniako seen with R5’s golden AK
Wiliam Álvarez aka Maniako can be seen, armed with an M249 Para and a notable gold plated AK.
The AK belongs to Luis Enrique Barragán Chávez, aka El Wicho or R5, leader of the Cartel de Los Reyes in Michoacán, sanctioned by the US Dept. Of State, with a $3M bounty.
Maniako heads the Fuerzas Especiales Wicho (FEW) group of sicarios.
The golden AK was seen recently with Antonio Sand…
Integrantes de la Gente Nueva MF/Gente Nueva Salgueiro operando en Guadalupe y Calvo, Chihuahua.
En la primera y segunda fotografía se le puede ver a un sicario portando un casco balístico equipado con unos audífonos de protección auditiva de la marca Walker’s.
En la tercera y cuarta fotografía se pueden ver dos camionetas que cuentan con blindaje artesanal, una de ellas artillada con una ametralladora Browning M19…
Inside a CJNG monstruo
A sicario from the Dos Aguas 💧 CJNG cell can be seen inside a civilian up armoured “monstruo”.
It has a rotating turret up top, which is a very common feature, fitted with a .50 cal Browning M2 machine gun.
Dentro de un vehículo monstruo del CJNG
Aquí se ve un sicario perteneciente al célula Dos Aguas 💧 del CJNG en Michoacán, dentro un vehículo con blindaje artesanal tipo monstruo.
Lleva u…
Miembro de Los Rusos —grupo afín a la facción de Los Mayos del CDS— mostrando un fusil FN MK 16 equipado con una óptica de punto rojo, empuñadura delantera y linterna.
En el segundo video se le observa disparando una ametralladora M240. Ambos videos fueron grabados en Sinaloa.
Michoacán: CJNG Dos Aguas 💧 sicarios
Pictured here are some sicarios belonging to the Dos Aguas cell of CJNG based in Michoacán.
This unit is known for using drones heavily, for both reconnaissance and direct strikes, setting up landmines and other improvised explosives.
They also perform EOD roles. Their gear reflects this, regularly being seen with pliers and Minelab Equinox metal detectors.
Sicarios del célula…
Dronero del CJNG mostrando un dron de la marca DJI, de la serie Matrice 4, junto a su control RC Plus 2 Enterprise.
En la segunda fotografía se le puede ver utilizando su cámara térmica de 640 x 512 píxeles.
Fotografías de uno de los dos inmuebles asegurados al CJNG el día de ayer por la mañana en Tinaja De Vargas, Michoacán.
Coordenadas. 📍
20°12'31.27"N 102°17'50.92"W
Créditos: López Dóriga vía Twitter/X.
🔴👁🗨IMÁGENES DE LOS DETENIDOS Y EL MATERIAL DECOMISADO TRAS OPERATIVO DE FUERZAS FEDERALES EN MICHOACÁN🇲🇽🚨
Entre las fotografías destacan las de Marisol “N” y Lourdes “N”, identificadas como hija y pareja sentimental de Heraclio “N”, alias “El Tío Lako”, quienes fueron capturadas en el operativo junto a otros miembros del CJNG.
En las imágenes también se observa un dron con explosivos improvisados asegurado, además…
Recent footage of Los Cabrera sicarios ambushing Nuevo Cartel de Juárez sicarios in Chihuahua, likely somewhere near the municipality of Aldama.
Imágenes recientes de sicarios de Los Cabrera emboscando a sicarios del Nuevo Cartel de Juárez en Chihuahua, probablemente en algún lugar cerca del municipio de Aldama.
Sinaloa: Sicario nearly steps on a landmine
In this video, a sicario from the Grupo H12 (Cabreras/Mayiza) shows a landmine he claims to have nearly stepped on. The top of the mine can be seen protruding from the ground, with multiple push button switches acting as pressure initiators.
Year after year, Sinaloa is the Mexican state with the most IEDs recovered. 2025 alone was higher than the previous five years in te…
Recent footage of a Gente Nueva MF / Gente Nueva Salgueiro sicario operating in the municipality of Guadalupe y Calvo located in Chihuahua. The sicario can be seen equipped with an M16A1 and an FN M249S.
Imágenes recientes de un sicario de la Gente Nueva MF / Gente Nueva Salgueiro operando en el municipio de Guadalupe y Calvo ubicado en Chihuahua. Se puede ver al sicario equipado con un M16A1 y un FN M249S.
🔥15💅4
Showing the 12 most recent of 31 posts we hold for @CodigoZ_Of. 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.
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 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.
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 2 September 2026 — this
entry's latest reading, not the date you are reading this.
“CÓDIGO Z” (@CodigoZ_Of), 7,472 subscribers as measured 2 September 2026. Telegram Register, tgregister.com/channel/CodigoZ_Of.
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.