El sudor no huele, el olor es causado por las bacterias.

Channel
💡CURIOSAMENTE🧠
@curiosamenteee
On this record: Topic · Growth · Engagement · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry
23,273subscribers
-396 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 | -1001366167204 |
|---|---|
| Type | Channel |
| Username | @curiosamenteee |
| Created | Between 1 April 2018 and 31 August 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 19 September 2026 |
| Measurements held | 35 |
| Confirmed unchanged | 1 time, most recently 19 September 2026 |
| On Telegram | t.me/curiosamenteee |
Topic
Memes & entertainment — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 10 September 2026 and assigned it the closest of 31 fixed categories, at 57% 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.
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 19 Sept 2026, 14:21 | 23,273 | -29 |
| 17 Sept 2026, 03:18 | 23,302 | -22 |
| 15 Sept 2026, 02:21 | 23,324 | -18 |
| 13 Sept 2026, 09:57 | 23,342 | -11 |
| 11 Sept 2026, 12:15 | 23,353 | -28 |
| 8 Sept 2026, 15:57 | 23,381 | -22 |
| 5 Sept 2026, 12:22 | 23,403 | -17 |
| 3 Sept 2026, 13:18 | 23,420 | +8 |
| 2 Sept 2026, 06:27 | 23,412 | -17 |
| 1 Sept 2026, 05:55 | 23,429 | -14 |
| 31 Aug 2026, 04:17 | 23,443 | -11 |
| 30 Aug 2026, 04:58 | 23,454 | -4 |
| 29 Aug 2026, 07:44 | 23,458 | -2 |
| 28 Aug 2026, 05:08 | 23,460 | -8 |
| 27 Aug 2026, 05:03 | 23,468 | -13 |
| 26 Aug 2026, 05:45 | 23,481 | -11 |
| 25 Aug 2026, 04:07 | 23,492 | -22 |
| 23 Aug 2026, 22:15 | 23,514 | -15 |
| 22 Aug 2026, 07:59 | 23,529 | -13 |
| 20 Aug 2026, 20:38 | 23,542 | first reading |
Engagement
160 posts held, back to 2 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 80 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 2.34%
- avg views ÷ 23,273 subscribers
- Avg views / post
- 544
- 56 posts measured
- Reaction rate
- 1.74%
- reactions ÷ views · ER floor
- Posts in window
- 56
- of 160 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 53 of 56 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 3 September 2026 |
|---|---|
| Posts held | 160 (2 August 2026 – 3 September 2026) |
| Views total | 30,491 |
| Reactions total | 524 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 3 Sept 2026, 09:54 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.
Reaction mix
1,420 reactions across 149 posts, in 29 distinct kinds. The most used accounts for 26.2% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 😱 | 372 | 26.2% | |
| 👍 | 250 | 17.6% | |
| ❤ | 246 | 17.3% | |
| 🤯 | 140 | 9.86% | |
| 👏 | 138 | 9.72% | |
| 😁 | 33 | 2.32% | |
| 👌 | 31 | 2.18% | |
| ✍ | 30 | 2.11% | |
| 😢 | 29 | 2.04% | |
| 🤣 | 27 | 1.90% | |
| 🥰 | 21 | 1.48% | |
| 🥴 | 20 | 1.41% | |
| 🤨 | 11 | 0.775% | |
| 🤩 | 11 | 0.775% | |
| 😍 | 10 | 0.704% | |
| ⚡ | 9 | 0.634% | |
| 😨 | 8 | 0.563% | |
| 🐳 | 7 | 0.493% | |
| 🤷♂ | 6 | 0.423% | |
| 😈 | 5 | 0.352% | |
| 9 further kinds | 16 | 1.13% |
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 153 of the 160 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 1,457 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 160 most recent posts we hold, published 2 August 2026 to 3 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
Donde las letras se esconden y se refugian, un lugar donde la palabra llegará a tu alma... Déjame ser parte de tí, dame un lugar para enamorarte...🦋
[🚨¿LISTO PARA DESCUBRIR LO QUE TE ESPERA?🚨] 🔥 ¡No puedes dejar pasar esto! Hemos reunido los canales más exclusivo a los que puedes unirte HOY MISMO. 🌟 ➕ ¿Quieres añadir tu canal? ℹ️: https://t.me/+dWtXBpH90IgyNzEx 🤖: @MegaBotonera_Valkyria02_Pro_bot
Cada año, más de 300,000 personas en todo el mundo pierden la audición debido al uso incorrecto de los bastoncillos de algodón. 👂 #General_knowledgeTM
🤯5❤1
Las zanahorias previenen la destrucción de las células cerebrales.
👍10
🔥 ¿CANSADO DE TIPSTERS QUE SOLO ENSEÑAN LOS ACIERTOS? Nosotros no tenemos nada que esconder. 📊 AGOSTO CERRADO CON +28.606,23€ EN PRONÓSTICOS GRATUITOS 💰 +74.165€ DE BENEFICIO EN THE PALM METHOD Todo está publicado y registrado en nuestro propio canal, día tras día. Sin capturas sueltas, sin borrar pérdidas y sin humo. Estas son nuestras estadísticas reales de agosto 👇 🎁 Y HOY VOLVEMOS A DAR UN PRONÓSTICO GRATIS:…
🤬1
¿Sabías que en la década de 1930 ya existían autos que facilitaban el estacionamiento en paralelo? 🚗 Esto era posible gracias a una quinta rueda que se movía lateralmente, ayudando al conductor a entrar en los espacios más reducidos. ✨ #General_knowledgeTM
🤯4👏1
Los diamantes se forman en la corteza terrestre a una profundidad de más de 200 km. Solo gracias a las erupciones volcánicas, los diamantes son transportados a profundidades alcanzables por el hombre. La edad promedio de cualquier diamante es de unos 1.500 millones de años.
🤯5
Los tomates contienen colina, que ayuda a reducir el colesterol en sangre, promueve la síntesis de hemoglobina y fortalece el sistema inmunológico.
❤6👏4
Para una roca promedio del tamaño de un puño, su velocidad terminal en el agua es de aproximadamente 1,6 pies por segundo, lo que se traduce en casi seis horas para llegar al fondo de 36.000 pies de la fosa de las Marianas, si la lanzaras allí.
👍2👏1
Una maestra de una escuela del pueblo fue despedida por un video filtrado de ella en un salón de clases, justo en el escritorio con un estudiante .............. Vídeo subido al canal:👇 https://t.me/+DZ0NbcUQgj1mM2Yy https://t.me/+DZ0NbcUQgj1mM2Yy Voy a borrar este vídeo en breve
👎2
El modelo prototipo de la silla de ruedas. Este dispositivo del Dr. Clark fue anunciado en 1878. Fue diseñado para permitir que las personas con problemas de la columna vertebral caminaran durante unos pocos minutos o incluso unas pocas horas al día.
😱6👍1
Showing the 12 most recent of 160 posts we hold for @curiosamenteee. 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 8 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.
@todosloscanalestelegram · 76,09718 posts🇵🇪 Grupos Peruanos 🇵🇪
@gruposycanalesperuanos · 7,3815 posts🔰Directorio de WhatsApp 💬
@Directorio_de_WhatsApp · 9,3224 postsCanales Cuba ®
@canales_cu · 6,3213 postsGrupos Cuba ®
@grupos_cu · 6,6262 postsBots Cuba ®
@bots_cu · 1,2971 post💱 CRIPTOMEMES 😂
@cripto_meme · 1,1051 postDIRECTORIO PERUANO
@DirectorioPeruano · 3851 post
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.
Channels Telegram recommends alongside this one
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
@sabiasque · 160,545#1
@curiosidadesss · 50,815#2
@buzzhistoria · 75,512#3
@UnDatoViral · 22,054#4
@sabiasqueoficial · 37,903#5
@UnDatoCurioso · 19,512#6
@DatosCuriosos · 32,044#7
@buzzdatos · 121,234#8
@undiacomo · 29,559#9
@Curiosa_Senal · 34,022#10
@AstronomiayCiencia · 15,250#11
@cienciaparatodos · 20,734#12
@VidaSaludableTips · 13,943#13
@Biologia_Naturaleza · 20,315#14
@HistoriayArqueologia · 27,437#15
@FotosImpactantes · 15,991#16
@hayqverlo · 24,050#17
@lasaludmental · 9,728#18
@Geografia_Ciencia · 10,050#19
@Historiasenblancoynegro · 18,887#20
@Mentes_Siniestrass · 9,878#21
@Curiosisimo · 18,837#22
@ElNudo · 3,697#23
@buzzquizzes · 22,972#24
@Mundo_Fitness · 23,362#25
@EscribiendoFrases · 18,425#26
@SenalesDelEspacio · 18,280#27
@Nutri_Tips · 20,273#28
@cuerpo_mente · 13,911#29
@buzzcitas · 63,217#30
@cientifico · 7,117#31
@VotaYa · 2,391#32
@rollo_chino · 27,730#33
@genialyjovial · 6,357#34
@memesfrases · 5,246#35
@xromosoma_extra · 31,648#36
@sabiasquetop · 2,349#37
@buena_noticia · 3,197#38
@xataka · 49,293#39
@SonataLife · 11,210#40
@atraccionmental · 26,454#41
@PuroSarcasmoo · 14,861#42
@SoyuzHistoria · 57,717#43
@Imageneshistoricas · 24,772#44
@Nerdo_Gram · 7,807#45
@ladrido · 8,365#46
@LaVidaEsSonido · 18,012#47
@muycomputer · 9,232#48
@Panorama_Mundial · 9,861#49
@memegracioso · 10,603#50
@venez · 72,666#51
@Luces_Camara · 5,798#52
@Para_reir · 9,714#53
@TuHoroscopoOficial · 5,554#54
@GeneracionIA · 13,013#55
@DepreEconomica · 20,627#56
@loving_telandroid · 2,189#57
@Avance_Tecnologico · 2,360#58
@memesltn · 34,599#59
@elOJOen · 84,926#60
@Imagenespoeticas · 12,129#61
@WallpapersFreeHD · 14,883#62
@Diccionarioletras · 24,241#63
@trivialmentesabio · 1,110#64
@MemesTgm · 7,227#65
@mundodefrases · 14,420#66
@MemesClubXD · 8,712#67
@stickerslocos · 12,381#68
Read from Telegram’s recommendation API, most recently 18 September 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
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.
@DatosCuriosos · 32,044
Telegram ranks this channel #5 of 76 here — alongside 75 others — read 5 September 2026
@UnDatoViral · 22,054
Telegram ranks this channel #7 of 69 here — alongside 68 others — read 21 September 2026
@Mundo_Fitness · 23,362
Telegram ranks this channel #7 of 63 here — alongside 62 others — read 18 September 2026
@atraccionmental · 26,454
Telegram ranks this channel #13 of 66 here — alongside 65 others — read 12 September 2026
@HistoriayArqueologia · 27,437
Telegram ranks this channel #18 of 74 here — alongside 73 others — read 10 September 2026
@Imageneshistoricas · 24,772
Telegram ranks this channel #32 of 73 here — alongside 72 others — read 15 September 2026
@Diccionarioletras · 24,241
Telegram ranks this channel #33 of 72 here — alongside 71 others — read 16 September 2026
This channel appears in 7 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 19 September 2026 — this entry's latest reading, not the date you are reading this.
“💡CURIOSAMENTE🧠” (@curiosamenteee), 23,273 subscribers as measured 19 September 2026. Telegram Register, tgregister.com/channel/curiosamenteee.
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.