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Telegram profile photo for CheqFirma

Channel

CheqFirma

@cheqfirma

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

44subscribers

+0 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-1003490562250
TypeChannel
Username@cheqfirma
DescriptionOrganización Civil Paraguay
CreatedBetween 1 November 2025 and 19 December 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded10 August 2026
Last confirmed live14 August 2026
Measurements held2
On Telegramt.me/cheqfirma

Growth

447 August 2026 — 44 subscribers10 August 2026 — 44 subscribers7 August 202610 August 2026
2 measurements spanning 3 days. 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 43–45 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
10 Aug 2026, 16:0044no change
7 Aug 2026, 17:5544first reading

Engagement

14 posts held, back to 19 December 2025the 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.

Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 14 posts for this entry, the most recent from 20 January 2026. An engagement rate over an empty window would be a number about nothing.

What this channel posts

Photos
34
Videos
27
Links
41

Lifetime counters from Telegram’s own channel header, read 10 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.

Video runtime
6m 37s
Average length
1m 39s

Measured directly from 4 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

7 reactions across 5 posts, in 4 distinct kinds. The most used accounts for 28.6% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
228.6%
🔥228.6%
🤮228.6%
👎114.3%

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 5 of the 14 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 7reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 14 most recent posts we hold, published 19 December 2025 to 20 January 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

20 Jan 2026, 03:00 UTC35 viewsread 10 August 2026

Entrevista en el programa Zona Franca - Dra. Chinda Brandolino https://youtube.com/watch?v=TLFuegf854k&si=-FwyZNKUyaNXgCAu

1 Jan 2026, 00:29 UTC59 views1 reactionsread 10 August 2026

https://youtu.be/MnZ-A367frw?si=C963cBOptpH7oW_O

🤮1

28 Dec 2025, 13:00 UTC97 viewsread 10 August 2026
Video

🇺🇸 01/2018 | Dr. Stanley Plotkin, experto en Vacunas | Testifica ante un caso de divorcio reconociendo que las Vacunas contienen Células de Fetos Abortados | Fuente El Dr. Plotkin, un renombrado vacunólogo, dio testimonio bajo declaración jurada ante el abogado Aaron Siri, antes de testificar en un caso de divorcio, donde los padres no estaban de acuerdo sobre la vacunación. Debido a que se necesita 'tejido vivo' p

28 Dec 2025, 12:56 UTC≈3,760 viewsread 10 August 2026

VACUNAS CON FETOS DE NIÑOS ABORTADOS ¡NO MÁS PREGUNTAS SEÑORÍA! Nacido en mayo de 1932, en Nueva York, Stanley Alan Plotkin testificó durante un caso ante un tribunal de vacunas en el condado de Oakland, Michigan en enero de 2018. El Dr. Plotkin es el hombre a quien se le atribuye el desarrollo de la vacuna contra la rubeola que se utiliza en todo el mundo. En el video se observa parte de su testimonio bajo jurament

28 Dec 2025, 12:56 UTC95 views1 reactionsread 10 August 2026

- Sí. Lo veo. - ¿Es cierto que el ADN humano en las vacunas comúnmente se fragmenta de forma deliberada? - Sí, y diría que principalmente por razones teóricas. No se quiere poner ADN intacto en vacunas. - ¿Está Usted familiarizado con la mutagénesis insercional? - Sí. - ¿Tiene algún estudio para demostrar que inyectar niños y bebés con millones de fragmentos de ADN humano es seguro? - Los únicos estudios son todos lo

1

20 Dec 2025, 12:53 UTC≈1,360 viewsread 10 August 2026

Para ver el congreso internacional ADN humano https://www.youtube.com/live/gN7YONd3kR0?si=SBEPWSNtYYNu-yTe

Showing the 12 most recent of 14 posts we hold for @cheqfirma. 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 — 408,081 of 1,480,975entries 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.

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.

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

“CheqFirma” (@cheqfirma), 44 subscribers as measured 10 August 2026. Telegram Register, tgregister.com/channel/cheqfirma.

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.