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Channel
@curio_X
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry
1,559subscribers
-13 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
| Telegram ID | -1003193531351 |
|---|---|
| Type | Channel |
| Username | @curio_X |
| Created | Between 1 September 2025 and 30 November 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 14 August 2026 |
| Measurements held | 5 |
| Confirmed unchanged | 1 time, most recently 14 August 2026 |
| On Telegram | t.me/curio_X |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 14 Aug 2026, 16:24 | 1,559 | -6 |
| 10 Aug 2026, 21:01 | 1,565 | -5 |
| 8 Aug 2026, 02:46 | 1,570 | -2 |
| 7 Aug 2026, 21:18 | 1,572 | no change |
| 7 Aug 2026, 17:41 | 1,572 | first reading |
20 posts held, back to 1 February 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. It is computed over the 1 of 2 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 7 August 2026 |
|---|---|
| Posts held | 20 (1 February 2026 – 7 August 2026) |
| Views total | 1,165 |
| Reactions total | 5 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 7 Aug 2026, 21:18 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.
Measured directly from 7 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.
154 reactions across 19 posts, in 19 distinct kinds. The most used accounts for 17.5% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 27 | 17.5% | |
| 🏆 | 25 | 16.2% | |
| ✍ | 15 | 9.74% | |
| 💯 | 14 | 9.09% | |
| 👍 | 13 | 8.44% | |
| 🤯 | 11 | 7.14% | |
| 👏 | 9 | 5.84% | |
| ⚡ | 6 | 3.90% | |
| 💊 | 6 | 3.90% | |
| 🗿 | 6 | 3.90% | |
| 🙏 | 5 | 3.25% | |
| 👀 | 4 | 2.60% | |
| 👨💻 | 3 | 1.95% | |
| 🤣 | 3 | 1.95% | |
| 😁 | 2 | 1.30% | |
| 😱 | 2 | 1.30% | |
| 🌚 | 1 | 0.649% | |
| 😡 | 1 | 0.649% | |
| 😨 | 1 | 0.649% |
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 19 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 154reactions 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 1 February 2026 to 7 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.
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" A rede neural é construída durante a vida, e agora também, enquanto estamos a falar. É construída a cada segundo, por isso não se pode ler textos ruins, não se pode ouvir música ruim, não se pode comer comida ruim - é tudo a mesma coisa, porque isso chega até si e nada desaparece. O cérebro lembra-se de tudo o que passou, o que olhou, o que cheirou e o que ouviu." — Tatiana Chernigovskaya, cientista soviética e r…
🏆2✍1👏1💊1
Signed Clarinha
🌿🩺 MACONHA E ESQUIZOFRENIA: O QUE A CIÊNCIA REALMENTE MOSTRA Relacionar maconha à esquizofrenia não significa dizer que “quem fuma vai ficar esquizofrênico”. O ponto é outro: há evidência consistente de que o uso de cannabis está associado a maior risco de psicose e esquizofrenia, principalmente quando o uso é frequente, começa na adolescência ou envolve produtos com alto teor de THC. O THC é a substância psicoativ…
✍3❤2🏆2👏1
Signed Clarinha
Uᴍ ᴄʟɪǫᴜᴇ, ᴍɪʟ ᴄᴜʀɪᴏsɪᴅᴀᴅᴇs 🔜 Iɴsᴄʀᴇᴠᴀ-sᴇ 🍲 @Curio_X
❤4🤣3🌚1🏆1💯1
Signed Clarinha
MERCADO DE SONORA: O EPICENTRO DO OCULTISMO MEXICANO 🇲🇽 No coração da Cidade do México, o Mercado de Sonora desafia a racionalidade moderna. Longe de ser apenas um centro comercial, seus corredores estreitos e sombrios funcionam como um portal para o misticismo e o esoterismo mais cru. Ali, a linha entre a fé, a superstição e a biologia se dissolve. Para os curiosos, o cenário evoca a ficção; para os locais, é medi…
❤5🤯2😨1
Signed Clarinha
🤩 CEO da Nvidia: “Eu sempre vou contratar o graduado expert em AI em vez do que não é.” Ele vai ainda mais longe: “Todo estudante universitário deve se formar como um expert em AI." "Porque se o seu trabalho for apenas uma tarefa, você vai ser altamente disruptado. As pessoas que aprendem a trabalhar de verdade com AI são as que ficam à frente. Não é sobre quem ocasionalmente pergunta algo ao Claude ou qualqu…
👨💻3⚡1🏆1
Signed mml #FechadoComBolsonaro
O ABISMO DA IA: POR QUE 98% DAS PESSOAS USANDO PROMPTS ERRADO FICARÃO PARA TRÁS Existe uma divisão brutal no mercado hoje entre três perfis de profissionais: Os Inexistentes: Ignoram a tecnologia. Os Casuais (A Maioria): Usam a IA como um motor de busca simples, aceitando saídas superficiais sem critério técnico. Os Engenheiros de Prompt Reais: Arquitetos de lógica que estruturam contextos complexos (Few-Shot, Cha…
💯4🏆2❤1
Signed Clarinha
🙏Como Jesus é visto nas diferentes religiões? ✡️ Judaísmo Jesus não é reconhecido como o Messias. Para a tradição judaica, o Messias deveria ser um líder humano descendente de Davi que restauraria o reino de Israel e traria paz mundial, o que não ocorreu na visão deles. Parte da tradição rabínica o vê como um falso messias ou um herético que distorceu a Lei. ⛪ Mormonismo Jesus é o filho espiritual de Deus Pai e…
❤3🏆2🙏2
Signed Clarinha
POR QUE A LAGARTIXA NÃO CAI DA PAREDE? 🦎 A lagartixa não cai da parede porque ela possui lamelas que se fixam às superfícies lisas, assim como vidros e tetos. Esse mecanismo é resultado de uma reação química chamada também de 'ligações de Van Der Waals'. É como um imã de geladeira: as forças opostas se atraem. Por isso, ao caminhar, essas forças positivas e negativas vão se alternando. Quando o bichinho caminha pel…
👍3✍1❤1💯1
Signed Clarinha
🧠 O ESQUERDISMO É UMA DOENÇA MENTAL? - A Tese de Lyle Rossiter Você já sentiu que o debate político atual parece menos uma divergência de ideias e mais um choque de personalidades? No livro "Esquerdismo: A Doença Mental", o psiquiatra forense Dr. Lyle Rossiter Jr. propõe uma resposta polêmica: a ideologia de esquerda seria o reflexo de uma disfunção psicológica. Saiba mais no quadro abaixo: 📌 Os 3 Pilares da Tes…
💯4🗿2✍1
Signed Clarinha
RELAÇÃO DE TIRADENTES COM A MAÇONARIA? Aqui está o panorama real sobre a relação de Joaquim José da Silva Xavier com a Maçonaria: 1. O Contexto da Inconfidência A Inconfidência Mineira (1789) foi profundamente influenciada pelos ideais iluministas vindos da Europa e pela independência dos Estados Unidos. Naquela época, a Maçonaria era o principal veículo de difusão dessas ideias de "Liberdade, Igualdade e Frater…
👀4🤯1😡1
Signed Clarinha
🙏 O PAI DA ESCOLÁSTICA: QUEM FOI SANTO ANSELMO? Hoje, 21 de abril, celebramos a memória de Santo Anselmo de Cantuária (1033–1109). Se você gosta de filosofia, teologia ou apenas de entender como o pensamento ocidental se estruturou, precisa conhecer esse mestre da lógica. Entenda mais no quadro abaixo: 🧠 A Fé que busca o Entendimento Anselmo não era apenas um monge; ele era um gigante intelectual. Sua frase mai…
🙏3✍1❤1
Signed Clarinha
Showing the 12 most recent of 20 posts we hold for @curio_X. 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 — 159,724 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.
@curio_X named 2 handles that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all.A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
References a handle that is not a live channel — we have no record it ever was one.
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 14 August 2026 — this entry's latest reading, not the date you are reading this.
“🔍 CurioX | O lado curioso do mundo 🌍” (@curio_X), 1,559 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/curio_X.
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.