Education — 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 20 September 2026 and assigned it the closest of 31 fixed categories, at 94% 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
6 measurements spanning 38 days, net -10. 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 728–741 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
13 Sept 2026, 19:58
729
-2
5 Sept 2026, 02:18
731
-5
22 Aug 2026, 04:37
736
-2
14 Aug 2026, 19:56
738
-1
7 Aug 2026, 00:46
739
no change
6 Aug 2026, 20:47
739
first reading
Engagement
20 posts held, back to 16 October 2020 — 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 page of 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 20 posts for this entry, the most recent from 4 March 2022. An engagement rate over an empty window would be a number about nothing.
Reaction mix
70 reactions across 14 posts, in 4 distinct kinds. The most used accounts for 65.7% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
46
65.7%
❤
16
22.9%
💩
7
10.0%
👎
1
1.43%
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 14 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 70 reactions 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 16 October 2020 to 4 March 2022, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
¿Eres de Cuba?
¿Quieres superarte profesionalmente y personalmente?
Ahora tienes al alcance de tus manos la capacidad de conocer todos los cursos que se van a impartir a lo largo y ancho de Cuba.
Para conocer los cursos únete a este canal @cursosencuba donde mensualmente te actualizaras GRATIS con los cursos más cercanos a ti.
Suscribete ahora al canal porque te vas a enterar más rápido de los cursos.
https://t.…
Descubre y aprovecha una excelente oportunidad para potenciar tu crecimiento personal. Ten acceso a una beca anual para formarte como Coach Ontológico Profesional.🥰
Esta beca es el primer paso para salir de tu zona de confort y ampliar tu punto de vista con respecto a lo que implica la superación personal plena aplicando lo aprendida en el coaching ontológico.
Obtendrás además gratis:
1️⃣ Curso de Mentor Coach
2️⃣ …
Componentes de la primera impresión:
1. Qué aspecto tengo (lo que ven, comunicación visual):
✅ Color de la piel, estrato social
✅ Sexo
✅ Edad
✅ Apariencia (biotipo, postura, pelo, vestido, accesorios, olores, colores).
✅ Expresiones faciales
✅ Contacto ocular
✅ Movimientos
✅ Espacio personal (corpulencia, altura, peso; posturas; distancias; objetos).
✅ Tacto (piel, tejidos, posibles contactos).
2. Cómo hablo
✅ La v…
También ocurre con los hombres que si usted quiere ganar a alguien a su causa, debe convencerlo primero de que es usted un amigo sincero. Ahí está la gota de miel que caza su corazón; el cual, dígase lo que se quiera, es el camino real hacia su razón.
Dale Carnegie
♻️Vía♻️
@habilidadsocial
Cierto experimento llevado a término por Avril Thorne, especialista en psicología evolutiva y docente, en nuestros días, de la Universidad de California en Santa Cruz nos da una pista al respecto. Thorne reunió a 52 jóvenes de sexo femenino, 26 de ellas introvertidas y las otras 26, extrovertidas, y puso a cada una a mantener dos conversaciones distintas de diez minutos: la primera, con una representante de su mismo …
Camelia Kuhnen, profesora de la Kellogg School of Management, ha descubierto que la variación de un gen regulador de dicha sustancia (DRDR) asociada a una clase de extroversión amiga de las emociones fuertes constituye un poderoso factor de predicción de la asunción de riesgos financieros.
En cambio, quienes poseen una variante del gen regulador de serotonina ligado a la introversión y la sensibilidad asumen un 28 p…
En muchos casos, los muchachos de esta edad que son demasiado sociales para pasar ningún tiempo en soledad no logran cultivar sus dones «porque practicar música o estudiar matemáticas exigen un recogimiento que ellos detestan».
Madeleine L’Engle, autora del clásico de la novela juvenil Una arruga en el tiempo y más de sesenta libros más, asegura que nunca hubiese llegado a poseer una mente tan audaz de no haber pasa…
Un estudio pidió a los participantes a qué se repitieran afirmaciones positivas sobre ellos mismos.
Al acabar el estudio los participantes que tenían menos autoestima y que habían estado repitiéndose las afirmaciones positivas se sintieron peor que los que no pensaron en nada.
Las autoafirmaciones positivas pueden tener el efecto contrario en las personas con poca autoestima.
Wood, 2009
¿Qué opinas?
#tip
♻️ Vía…
👍3❤1👎1
Showing the 12 most recent of 20 posts we hold for @habilidadsocial. 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.
Polls
The poll we hold for this entry, as Telegram rendered it when we read the post. A poll’s figures keep moving after that, so each one is dated.
Shares as published. No per-option vote count is published by Telegram, so none is shown.
Percentages only — there are no per-option vote counts here, because Telegram publishes none. The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.
The shares need not add up to 100. Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.
Read from the 20 most recent posts we hold, published 16 October 2020 to 4 March 2022. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.
Forward network
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.
Mentions
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.
Handles this channel named that no longer answer
Dead references
1
handles named in this channel’s posts, vacant today
Evidenced gone
0
we ourselves saw one of these resolve, at some point
Never seen alive
1
vacant every time we have ever looked
@habilidadsocial named 1 handle 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.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
@desarrollopersonal_cu named in 2 posts, 8 August 2026 – 29 August 2026
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 13 September 2026 — this
entry's latest reading, not the date you are reading this.
“Habilidades sociales” (@habilidadsocial), 729 subscribers as measured 13 September 2026. Telegram Register, tgregister.com/channel/habilidadsocial.
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.