Telegram RegisterThe public register of Telegram
Telegram profile photo for 🌍 O GRANDE RESET

Channel

🌍 O GRANDE RESET

@ograndereset

On this record: Topic · Observations · Also posting the same content · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry

14,238subscribers

-178 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001225794912
TypeChannel
Username@ograndereset
DescriptionBBB - Building Back Better Construindo de novo melhor A nova filosofia global que está sendo imposta a todos os países para implantação de uma nova ordem mundial.
Created23 January 2021measured — cross-checked against a third-party dataset (TGDataset)
First recorded6 August 2026
Last confirmed live1 September 2026
Measurements held26
Confirmed unchanged1 time, most recently 1 September 2026
On Telegramt.me/ograndereset

Topic

Politics & activism — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 10 August 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.

Observations

These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.

Content that also appears on other registered channels

Posts published here appear word for word on 4 other registered channels. They sit inside a group of 6 channels that share the same post bodies with each other. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.

Matching posts — open both and compare (6 of the pairs behind the counts below)
Posted firstThenOverlapGap
@reacoesadversas/491505 Aug 2026, 20:17 UTC@ograndereset/37652 · this entry5 Aug 2026, 20:17 UTC1.00under a minute
@reacoesadversas/492386 Aug 2026, 23:02 UTC@ograndereset/37740 · this entry6 Aug 2026, 23:02 UTC1.00under a minute
@pelavidaeliberdade/723845 Aug 2026, 20:17 UTC@ograndereset/37652 · this entry5 Aug 2026, 20:17 UTC1.00under a minute
@pelavidaeliberdade/724726 Aug 2026, 23:02 UTC@ograndereset/37740 · this entry6 Aug 2026, 23:02 UTC1.00under a minute
@rasgandooverbo/822545 Aug 2026, 20:17 UTC@ograndereset/37652 · this entry5 Aug 2026, 20:17 UTC1.00under a minute
@rasgandooverbo/823446 Aug 2026, 23:02 UTC@ograndereset/37740 · this entry6 Aug 2026, 23:02 UTC1.00under a minute
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@reacoesadversas20 (8/8 hand-verifiable sample passed)1.00under a minutethis entry (146)
@pelavidaeliberdade20 (8/8 hand-verifiable sample passed)1.00under a minutethis entry (137)
@rasgandooverbo20 (8/8 hand-verifiable sample passed)1.00under a minute@rasgandooverbo (119)
@antivaxxx10 (8/8 hand-verifiable sample passed)1.00under a minutethis entry (64)

Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.

What this cannot establish

MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.

Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. 21 of the 21 matches recorded here fall after that date and carried no header when we read them. The rest predate reliable capture and are not evidence either way.

“Published first” means first in this corpus. We hold 20 comparable posts for this entry, running 5 August 2026 to 7 August 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.

The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.

  • Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
  • 'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
  • shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
  • Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).

Across the whole group of 6, the earliest publisher we hold is @pelavidaeliberdade. That is a statement about our reading window, not a claim of authorship.

Recorded under the keys clone_mutual · clone_source, last confirmed 7 August 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.

Also posting the same content

This channel’s posts match, word for word or near enough, posts on 5 other registered channels, 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.

Growth

14,23814,41614,3276 August 2026 — 14,416 subscribers6 August 2026 — 14,416 subscribers7 August 2026 — 14,410 subscribers8 August 2026 — 14,401 subscribers9 August 2026 — 14,393 subscribers10 August 2026 — 14,388 subscribers11 August 2026 — 14,380 subscribers12 August 2026 — 14,367 subscribers13 August 2026 — 14,363 subscribers15 August 2026 — 14,353 subscribers16 August 2026 — 14,355 subscribers17 August 2026 — 14,346 subscribers18 August 2026 — 14,339 subscribers19 August 2026 — 14,329 subscribers20 August 2026 — 14,298 subscribers21 August 2026 — 14,281 subscribers23 August 2026 — 14,276 subscribers24 August 2026 — 14,266 subscribers26 August 2026 — 14,265 subscribers26 August 2026 — 14,256 subscribers27 August 2026 — 14,259 subscribers28 August 2026 — 14,255 subscribers29 August 2026 — 14,251 subscribers30 August 2026 — 14,246 subscribers31 August 2026 — 14,245 subscribers1 September 2026 — 14,238 subscribers6 August 20261 September 2026
26 measurements spanning 26 days, net -178. 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 14,211–14,443 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 26
Measured (UTC)SubscribersChange
1 Sept 2026, 23:0614,238-7
31 Aug 2026, 23:5714,245-1
30 Aug 2026, 21:5714,246-5
29 Aug 2026, 22:0414,251-4
28 Aug 2026, 22:4714,255-4
27 Aug 2026, 21:2514,259+3
26 Aug 2026, 23:0414,256-9
26 Aug 2026, 01:2514,265-1
24 Aug 2026, 22:4714,266-10
23 Aug 2026, 07:5714,276-5
21 Aug 2026, 20:3814,281-17
20 Aug 2026, 14:2814,298-31
19 Aug 2026, 17:5514,329-10
18 Aug 2026, 17:2214,339-7
17 Aug 2026, 19:4614,346-9
16 Aug 2026, 17:3314,355+2
15 Aug 2026, 02:2514,353-10
13 Aug 2026, 18:0714,363-4
12 Aug 2026, 17:3414,367-13
11 Aug 2026, 17:5214,380first reading

Engagement

563 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 50 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
0.586%
avg views ÷ 14,238 subscribers
Avg views / post
83.5
563 posts measured
Reaction rate
1.32%
reactions ÷ views · ER floor
Posts in window
563
of 563 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 96 of 563 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 2 September 2026
Posts held563 (5 August 20262 September 2026)
Views total47,012
Reactions total167
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken2 Sept 2026, 05:44 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

Photos
22,300
Videos
14,400
Links
6,580

Lifetime counters from Telegram’s own channel header, read 2 September 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.

Video runtime
3h 43m
Average length
1m 14s

Measured directly from 180 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

167 reactions across 92 posts, in 22 distinct kinds. The most used accounts for 20.4% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
3420.4%
👍3319.8%
😈148.38%
👏137.78%
🤮116.59%
💩105.99%
🤣105.99%
😁95.39%
🤡63.59%
🤬63.59%
🥰42.40%
😢31.80%
🔥21.20%
😍21.20%
😭21.20%
🙈21.20%
👎10.599%
🖕10.599%
😡10.599%
😱10.599%
2 further kinds21.20%

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 96 of the 563 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 167 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 563 most recent posts we hold, published 5 August 2026 to 2 September 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

2 Sept 2026, 01:10 UTC68 viewsread 2 September 2026
Photo

Jato, helicóptero e a empresa viking... ate entao desconhecida do público. Alexandre e Viviane nao queriam a transferencia para a "barci de moraes" por medo de "dano reputacional". Aí entrou a empresa viking que ninguem conhecia ate entao...

2 Sept 2026, 01:10 UTC60 viewsread 2 September 2026
Photo

O marido da Patrícia Abravanel (SBT), filha do Silvio Santos que está mais de frente nos dominicais da emissora A conversa mais reveladora de todas... Ora, se o contrato era com a mulher do Moraes, por que o senhor Fábio Faria, que pelas conversas foi quem aproximou Vorcaro de Moraes, fala em "não atrasar o careca"? PS: lembrem que o Fábio Faria foi ministro das Comunicações do Bolsonaro. Como é que ele é tão próx

2 Sept 2026, 01:09 UTC53 viewsread 2 September 2026
Photo

Funça deslumbrado é a maior desgraça de um país. FDP se vende por whisky e cigarro. VTNC!

2 Sept 2026, 01:09 UTC43 viewsread 2 September 2026
Photo

PAGAMOS METRÓPOLES E BARCI (Viviane)????? O PIX do Metrópoles aí!!!!

2 Sept 2026, 01:08 UTC37 viewsread 2 September 2026
Forwarded from @proestudosPhoto

🚨 Moraes e André Mendonça discutem e chegam perto de agressão física, afirma Metrópoles A discussão ocorreu após Moraes descobrir que Mendonça mandou a PF aprofundar investigação que revelou conversas do ministro com Vorcaro. Segundo a coluna de Andreza Matais, Moraes pediu uma conversa com Mendonça, e o encontro desandou. A coluna apurou que o clima esquentou, houve bate-boca e, por pouco, a discussão não descambo

2 Sept 2026, 01:08 UTC38 viewsread 2 September 2026
Forwarded from @nikolasferreiraPhoto

Photo, posted without a caption

2 Sept 2026, 01:08 UTC36 viewsread 2 September 2026
Forwarded from @nikolasferreiraPhoto

Photo, posted without a caption

2 Sept 2026, 01:07 UTC34 viewsread 2 September 2026
Forwarded from @nikolasferreiraPhoto

Photo, posted without a caption

Showing the 12 most recent of 563 posts we hold for @ograndereset. 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 — 128,938 of 1,629,535 entries 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

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 5 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.

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.

Appears in Telegram’s recommendations for other channels

The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.

Crypto BlaBlaBla 👌
@Crypto_BlaBlaBla · 81,921
Telegram ranks this channel #3 of 51 here — alongside 50 others — read 18 August 2026
RECEITAS BR ®
@RECEITAS_BR · 79,238
Telegram ranks this channel #6 of 55 here — alongside 54 others — read 19 August 2026
𝐆𝐑𝐀𝐌𝐓𝐑𝐈𝐗 🎯
@Gramtrix · 60,441
Telegram ranks this channel #15 of 35 here — alongside 34 others — read 22 August 2026
🤣 𝗠𝗘𝗠𝗘𝗦 𝗣𝗥𝗢𝗜𝗕𝗜𝗗𝗢𝗦 🌚
@otarianoo · 41,537
Telegram ranks this channel #16 of 20 here — alongside 19 others — read 29 August 2026
𝙃𝙐𝙈𝙊𝙍 🦍 𝙉𝙀𝙂𝙍𝙊
@bullyingart2 · 54,413
Telegram ranks this channel #16 of 37 here — alongside 36 others — read 24 August 2026
TROQUEI TRÊS LOBOS
@MinisDramasBr · 50,902
Telegram ranks this channel #18 of 24 here — alongside 23 others — read 25 August 2026
Brasil Paralelo
@brasilparalelooficial · 57,693
Telegram ranks this channel #19 of 65 here — alongside 64 others — read 23 August 2026
Proibido Olhar 🌒
@proibidoolhar · 69,524
Telegram ranks this channel #19 of 43 here — alongside 42 others — read 20 August 2026
🎻 | Playlist Instrumental
@playlist_instrumental · 78,234
Telegram ranks this channel #21 of 50 here — alongside 49 others — read 19 August 2026
#𝗡𝗼𝗡𝘂𝘁𝗖𝗵𝗮𝗹𝗹𝗲𝗻𝗴𝗲
@NoNutChallenge · 43,824
Telegram ranks this channel #22 of 38 here — alongside 37 others — read 28 August 2026
Jair M. Bolsonaro 1
@jairbolsonarobrasil · 1,077,236
Telegram ranks this channel #22 of 81 here — alongside 80 others — read 16 August 2026
O INFORMANTE
@oinformanteof · 161,840
Telegram ranks this channel #23 of 70 here — alongside 69 others — read 16 August 2026
MUNDINHO DOS L1VR0S
@mundinhodosl1vr0s · 73,214
Telegram ranks this channel #24 of 31 here — alongside 30 others — read 20 August 2026
O Grande e Poderoso Gênio
@UniDraminhas · 122,857
Telegram ranks this channel #24 of 45 here — alongside 44 others — read 16 August 2026
𝗢 𝗣𝗼𝘂𝗽𝗮𝗱𝗼𝗿 | Inteligência financeira 💲
@ShortDramasOne · 8
Telegram ranks this channel #24 of 54 here — alongside 53 others — read 16 August 2026
Prof. Danuzio Neto - OSINT, Geopolítica e Atualidades (Intel BR - News)
@profdanuzioneto · 122,177
Telegram ranks this channel #30 of 79 here — alongside 78 others — read 17 August 2026
Hoje no Mundo Militar - Canal
@hojeno_mundomilitar · 90,765
Telegram ranks this channel #33 of 76 here — alongside 75 others — read 17 August 2026
𝐁Í𝐁𝐋𝐈𝐀 𝐄𝐌 Á𝐔𝐃𝐈𝐎
@Biblia_AudioOficial · 54,207
Telegram ranks this channel #34 of 36 here — alongside 35 others — read 24 August 2026
Carla Zambelli
@carlazambellioficial · 54,000
Telegram ranks this channel #34 of 74 here — alongside 73 others — read 24 August 2026
Nikolas Ferreira
@nikolasferreira · 194,156
Telegram ranks this channel #39 of 79 here — alongside 78 others — read 16 August 2026
FLÁVIO BOLSONARO
@senadorflaviobolsonaro · 86,114
Telegram ranks this channel #43 of 85 here — alongside 84 others — read 18 August 2026
Conflitos e Guerras Oficial
@conflitoseguerrasoficial · 60,156
Telegram ranks this channel #47 of 74 here — alongside 73 others — read 22 August 2026
Eduardo Bolsonaro 🇧🇷
@depeduardobolsonaro · 61,549
Telegram ranks this channel #64 of 70 here — alongside 69 others — read 22 August 2026
CARLOS BOLSONARO
@bolsonarocarlos · 110,474
Telegram ranks this channel #72 of 83 here — alongside 82 others — read 16 August 2026

This channel appears in 24 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.

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 1 September 2026 — this entry's latest reading, not the date you are reading this.

“🌍 O GRANDE RESET” (@ograndereset), 14,238 subscribers as measured 1 September 2026. Telegram Register, tgregister.com/channel/ograndereset.

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.