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Telegram profile photo for Claudia Nicolasa

Channel

Claudia Nicolasa

@claudianicolasa

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

6,980subscribers

-286 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001529555015
TypeChannel
Username@claudianicolasa
DescriptionNormas de comunidad con expulsión: - Mensajes agresivos, peyorativos, insultos, tono violento. - Faltas de respeto y palabras despectivas hacia compañeros y a mi misma. - Mensajes que atentan contra la salud mental. - Afirmar información que no está c
CreatedBetween 1 August 2021 and 28 February 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live5 November 2026
Measurements held25
Confirmed unchanged1 time, most recently 5 November 2026
On Telegramt.me/claudianicolasa

Topic

Film & TV — 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 12 September 2026 and assigned it the closest of 31 fixed categories, at 44% 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 the other topics.

Growth

6,9807,2667,1237 August 2026 — 7,266 subscribers7 August 2026 — 7,264 subscribers10 August 2026 — 7,257 subscribers13 August 2026 — 7,248 subscribers16 August 2026 — 7,246 subscribers20 August 2026 — 7,229 subscribers23 August 2026 — 7,221 subscribers26 August 2026 — 7,214 subscribers29 August 2026 — 7,204 subscribers1 September 2026 — 7,194 subscribers4 September 2026 — 7,187 subscribers10 September 2026 — 7,162 subscribers13 September 2026 — 7,150 subscribers18 September 2026 — 7,134 subscribers28 September 2026 — 7,110 subscribers5 October 2026 — 7,093 subscribers12 October 2026 — 7,071 subscribers15 October 2026 — 7,056 subscribers18 October 2026 — 7,041 subscribers21 October 2026 — 7,029 subscribers24 October 2026 — 7,019 subscribers27 October 2026 — 7,011 subscribers30 October 2026 — 6,996 subscribers2 November 2026 — 6,985 subscribers5 November 2026 — 6,980 subscribers7 August 20265 November 2026
25 measurements spanning 90 days, net -286. 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 6,937–7,309 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 25
Measured (UTC)SubscribersChange
5 Nov 2026, 15:086,980-5
2 Nov 2026, 16:016,985-11
30 Oct 2026, 15:376,996-15
27 Oct 2026, 13:057,011-8
24 Oct 2026, 10:447,019-10
21 Oct 2026, 06:177,029-12
18 Oct 2026, 06:567,041-15
15 Oct 2026, 03:407,056-15
12 Oct 2026, 06:177,071-22
5 Oct 2026, 15:207,093-17
28 Sept 2026, 02:177,110-24
18 Sept 2026, 03:407,134-16
13 Sept 2026, 17:407,150-12
10 Sept 2026, 05:357,162-25
4 Sept 2026, 15:597,187-7
1 Sept 2026, 10:177,194-10
29 Aug 2026, 17:057,204-10
26 Aug 2026, 16:177,214-7
23 Aug 2026, 15:547,221-8
20 Aug 2026, 02:477,229first reading

Engagement

21 posts held, back to 17 May 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 17 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
27.5%
avg views ÷ 6,980 subscribers
Avg views / post
1,920
5 posts measured
Reaction rate
1.49%
reactions ÷ views · ER floor
Posts in window
5
of 21 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.

What these figures were computed from
WindowRolling 30 days · latest post in window 25 October 2026
Posts held21 (17 May 2026 – 25 October 2026)
Views total9,590
Reactions total143
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken5 Nov 2026, 15:38 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
269
Videos
46
Links
291

Lifetime counters from Telegram’s own channel header, read 5 November 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.

Reaction mix

732 reactions across 21 posts, in 16 distinct kinds. The most used accounts for 70.4% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤51570.4%
👍9012.3%
👏304.10%
🤯223.01%
💯141.91%
😱131.78%
🤗111.50%
🙏101.37%
😢60.82%
🤔60.82%
🏆50.683%
🥰40.546%
💔20.273%
😭20.273%
🔥10.137%
😁10.137%

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 21 of the 21 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 732 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 21 most recent posts we hold, published 17 May 2026 to 25 October 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

Telegram’s own ‘edited’ marker: 1 of 5 posts held from the last 30 days (20.0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).

25 Oct 2026, 18:44 UTC≈1,360 views51 reactionsread 5 November 2026

Malas noticias... Al ser un caso relacionado con maltrat0 infantil Youtube ha limitado el alcance del análisis del caso de Ruby Franke 😪 Es un vídeo que tiene mucho trabajo detrás y que contiene información relevante y útil. Si os apetece darle un apoyo sería de mucha ayuda que lo pusierais y lo dejarais hasta el final, a ver si conseguimos que no se quede en el pozo de los vídeos censurados 😢 Muchas gracias!! https:…

❤37👍8😢6

23 Oct 2026, 10:11 UTC≈1,600 views23 reactionsread 5 November 2026
Photo

Este domingo vamos a analizar la historia de Ruby Franke, una madre que se hizo famosa en YouTube mostrando su vida familiar aparentemente perfecta y que terminó siendo condenada por maltrat4r brutalmente a sus propios hijos. Es un caso que nos va a permitir analizar un perfil de personalidad muy interesante, pero también profundizar en las dinámicas de manipulación espiritual y sectaria y en cómo una persona puede l…

❤15😱6🤗2

18 Oct 2026, 13:24 UTC≈1,970 views30 reactionsread 5 November 2026
Photo

En el video de hoy vamos a hacer un test para ver cómo de difícil (o fácil) eres de manipular 🧐 Espero ver vuestros resultados en comentarios 😬

❤18👍6🤔3🙏2👏1

15 Oct 2026, 11:44 UTC≈2,380 views9 reactionsread 5 November 2026

Esta tarde nos vemos en directo en el seminario para psicólogos y estudiantes de Psicología 🎙️ A las 19:00 (hora peninsular) hablaremos de cómo pasar de graduado en Psicología a sentirse preparado para ejercer. Compartiremos lo que nos habría gustado saber al acabar la carrera y resolveremos vuestras dudas e inquietudes. También presentaré el Máster Oficial en Psicología General Sanitaria en el que voy a ser docente …

❤6👏2🥰1

9 Oct 2026, 09:43 UTC≈2,280 views30 reactionsread 5 November 2026
Photo

Este domingo vamos a analizar la mente de Aileen Wuornos, una mujer que m4tó a siete hombres y cuya historia nos enfrenta a una pregunta: ¿cómo pueden convivir una enorme vulnerabilidad emocional y la capacidad de hacer tanto daño? Vamos a explorar su miedo al abandono, sus relaciones y cómo el dolor que había sufrido se mezcló con la necesidad de defenderse, vengarse y recuperar el control. Es un análisis para ent…

❤16👍7🙏3💔2🤗2

6 Oct 2026, 12:14 UTC≈2,290 views10 reactionsread 5 November 2026
Photo

Si acabas de terminar Psicología (o estás a punto de graduarte) y no te sientes preparado para ejercer... que sepas que es completamente normal. En la carrera nos enseñan unas bases importantes, pero de saber psicología a saber hacer psicoterapia... hay un gran paso. Por eso el jueves 15 de octubre a las 19:00 imparto un webinar gratuito y en directo «¿Y ahora qué? Cómo pasar de graduado en Psicología a sentirte pr…

❤10

2 Oct 2026, 10:15 UTC≈2,400 views46 reactionsread 5 November 2026
Photo

Este domingo vamos a hablar de algo que prácticamente todos hemos vivido: personas que hacen comentarios sobre tu aspecto físico sin que les hayas pedido opinión. “Has engordado”. “Estás demasiado delgada”. “Me gustaba más tu pelo antes”. “¿Qué te ha pasado en la cara?”. En el vídeo analizaremos por qué algunas personas sienten la necesidad de señalar estos cambios, qué motivaciones psicológicas puede haber detrás …

❤31👍6🙏4💯2👏1🤔1🤗1

21 Sept 2026, 16:22 UTC≈2,980 views13 reactionsread 5 November 2026

https://youtu.be/g5759X1QiWk?is=Dp18D-mMBDuMDz1W

❤12🔥1

12 Sept 2026, 15:03 UTC≈3,860 views33 reactionsread 5 November 2026
Photo

Con todo lo que se está hablando estos días a raíz del caso de Lindsay Clancy sobre la psicosis posparto y otros problemas graves de salud mental que pueden aparecer después de dar a luz, mañana he querido dedicar mi vídeo semanal a este tema. Voy a analizar cuatro casos reales de madres que están ingresadas en unidades psiquiátricas junto a sus bebés, varias de ellas atravesando episodios psicóticos. Creo que va a…

❤27👍4💯1🤔1

11 Aug 2026, 10:47 UTC≈5,260 views54 reactionsread 5 November 2026
Photo

Se habla mucho del horror que es tener una pareja psicópata narcisista…. Pero poco se habla de que la verdadera pesadilla a veces empieza justo cuando al fin logras “salir” de esa relación. De esto trata el análisis de este domingo y para que conozcas el espeluznante caso te recomiendo ver este documental: “Una tóxica historia de amor”.

❤41👍11💯1🤗1

1 Aug 2026, 09:05 UTC≈4,900 views41 reactionsread 5 November 2026
Photo

Mañana analizaremos un caso real que me ha impactado mucho 🧠 👉🏻 Una mujer que se obsesiona con sus vecinos de enfrente y les hace la vida imposible hasta que toma la peor de las decisiones… Si os apetece verlo antes, está en el primer episodio de “El Peor Vecino Imaginable” de Netflix, un caso real que pasó en Estados Unidos. Y si no lo veis, no pasa nada, ya sabéis que os cuento la trama con calma para poder anali…

❤20👍14👏3😱2🥰1🙏1

30 Jul 2026, 12:00 UTC≈3,770 views60 reactionsread 5 November 2026

Buenísimas noticias 😍 Una de las cosas me habéis pedido desde que salió Es manipulación y no lo sabes era poder encontrarlo en vuestros países. Y poco a poco ese deseo se está haciendo realidad. A día de hoy, la edición en español ya está disponible en librerías de: 🇪🇸 España 🇲🇽 México 🇺🇸 Estados Unidos 🇨🇱 Chile 🇨🇴 Colombia 🇵🇪 Perú 🇪🇨 Ecuador 🇦🇷 Argentina 🇺🇾 Uruguay Además, el libro ya se ha vendido para su tradu…

❤43👏9🏆5🤗2😱1

Showing the 12 most recent of 21 posts we hold for @claudianicolasa. 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.

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 5 November 2026 — this entry's latest reading, not the date you are reading this.

“Claudia Nicolasa” (@claudianicolasa), 6,980 subscribers as measured 5 November 2026. Telegram Register, tgregister.com/channel/claudianicolasa.

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.