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Miguel Carbonell engagement report

@MiguelCarbonell - 295K followers on X

Measured over 83 original posts from a 30-day window, last computed on September 19, 2026.

Engagement

Bottom 10% for its size
Per follower
0.001%
of 295K followers
Per impression
0.148%
2.0K views on a typical post
Reach
0.69%
of its followers see a post
Typical post
3
interactions (median)
Saved
0.05%
1 bookmarks on a typical post
Posting rate
3.2/day
active 43% of days
Peak time
01:00 UTC
Saturday

A typical post picks up 3 interactions against 295K followers, an engagement rate of 0.001%. Measured over 83 original posts, its engagement rate beats 6% of 15,519 tracked accounts of a similar size. That is a reason to look at how the audience behaves - reply depth, saves, whether the followers are recent - rather than a conclusion about it on its own. Posts are seen about 2.0K times each, and 0.148% of those impressions turn into an interaction. That is about 0.685% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 3.2 posts a day over the last 30 days, though only 43% of days saw any activity at all. Most posts go out around 01:00 UTC, and Saturday is the busiest day of the week. Of the 83 posts sampled, 92% link out. The account's strongest tracked post pulled 424 interactions, about 141x its own typical post. Recurring topics include #cnpcyf, #tiktok.

Measured over 83 original posts from a 30-day window, last computed on September 19, 2026. Recurring tags: #cnpcyf, #tiktok.

Compared with accounts its own size

Miguel Carbonell's engagement rate beats 6% of the tracked X accounts closest to it in follower count (15,519 accounts, accounts of similar size (decile 9 of 10)). A percentile is spread evenly by construction, so 50 really is the middle of that group and 90 really is its top tenth.

On engagement per impression rather than per follower it beats 10% of the same group. When those two numbers disagree, the gap is about how far its posts travel rather than how people react to them.

Where this sits in the catalog

At 0.001%, Miguel Carbonell sits below the 10th percentile of the 158,036 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.022%.

p100.003%
p250.022%
p50 (median)0.128%
p750.605%
p902.32%
p9983.1%
Engagement rate as a share of followers, across the 158,036 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 25,981 times apart and a linear axis would flatten everything below the median into a single point.
Show the percentile table
Engagement rate percentiles
PercentileEngagement rate
10th percentile0.003%
25th percentile0.022%
50th percentile0.128%
75th percentile0.605%
90th percentile2.32%
99th percentile83.1%

This ruler is the whole measured catalog, not a size-matched group: it shows where the raw rate falls across every account we can measure, all of which are large. For a like-for-like comparison, read the size-band percentile above instead. See how the bands are built

Posting timing

This account posts most often around 01:00 UTC, and Saturday is its busiest day of the week. The bars below are the catalog-wide pattern, with this account's own busiest slot marked. They do not show how this account performs at each hour: we keep one aggregate per account, not one per hour, so that measurement does not exist in our data.

Engagement by hour posted, UTCTwenty-four bars, one per UTC hour. Each bar shows how posts published in that hour compare with their own authors' median engagement. Bars above the centre line ran higher than the median, bars below ran lower. A marker flags Busiest hour: 01:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 01:00 UTC
Show engagement by hour posted, utc as a table
Engagement by hour posted, UTC
Hour (UTC)Vs author medianPosts
00:00 UTC-1%89K
01:00 UTC-2%90K
02:00 UTC-3%88K
03:00 UTC-4%94K
04:00 UTC-5%76K
05:00 UTC-4%75K
06:00 UTC-5%86K
07:00 UTC-5%93K
08:00 UTC-4%108K
09:00 UTC-4%124K
10:00 UTC-3%129K
11:00 UTC-3%141K
12:00 UTC-3%154K
13:00 UTC-3%167K
14:00 UTC-4%173K
15:00 UTC-2%176K
16:00 UTC-3%171K
17:00 UTC-3%159K
18:00 UTC-2%149K
19:00 UTC-2%141K
20:00 UTC-1%131K
21:00 UTC0%116K
22:00 UTC-2%100K
23:00 UTC-1%90K
Engagement by day of weekSeven bars, one per weekday, Sunday first. Each bar shows how posts published on that day compare with their own authors' median engagement. Bars above the centre line ran higher than the median, bars below ran lower. A marker flags Busiest day: Saturday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Saturday
Show engagement by day of week as a table
Engagement by day of week
DayVs author medianPosts
Sunday+5%393K
Monday+1%483K
Tuesday-2%520K
Wednesday-3%472K
Thursday-2%430K
Friday-3%447K
Saturday+2%393K
See what moves engagement across the whole catalogWhat counts as a good engagement rate at this size

Formats this account uses

Its own posting mix on the left, and what each of those formats does across every account we track on the right. Only formats where the effect clears our publish test appear here, so an empty row is a format we could not measure rather than one that does nothing.

This account's posting mix compared with catalog-wide effects
FormatThis accountCatalog effect95% intervalAccounts behind it
Image or video1% of posts+111%+108% to +115%34K
Outbound link92% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 1% of this account's sampled posts carry an image or video. Across the catalog, posts with an image or video run 111% above the same accounts' other posts.
  • 92% of its posts carry a link off X. Across the catalog, posts with an outbound link run 41% below the same accounts' other posts, so a large share of this account's output sits in the weakest bucket we measure.
  • Its average post runs 388 characters, which falls in the over 280 characters band. Across the catalog, posts over 280 characters run 15% above the same accounts' other posts.

These are catalog-wide differences applied to this account's own posting mix, not a measurement of how each format performs for this account specifically. We keep one median per account, not one per format per account, so the second thing is not something this data can tell you.

Best tweets

  • Sep 2, 2026141x their median

    Un buen abogado no es quien cita más artículos. Es quien: — identifica el verdadero problema; — distingue los hechos relevantes; — construye el mejor argumento; — propone una solución comprensible. El conocimiento jurídico vale más cuando produce claridad.

    34181209.7K viewsView on X
  • Sep 15, 202634x their median

    🤖 Herramientas de IA que vale la pena conocer Además de ChatGPT, Claude o Gemini, existen herramientas especializadas para tareas concretas: 🔎 Perplexity: investigación en internet con fuentes enlazadas. 📚 Gemini Notebook: análisis y consulta de documentos propios. “Elicit y Consensus”: búsqueda de artículos e investigación académica. 🌐 DeepL: traducción profesional de textos y documentos. 🎙️ Otter: transcripción y resumen de reuniones. “vLex Vincent, CoCounsel y Lexis+ con Protégé”: investigación jurídica asistida por IA. 📝 Spellbook: redacción y revisión de contratos. 📂 Relativity: análisis de grandes volúmenes de evidencia y documentos. La clave es elegir la herramienta según la tarea. Recuerda: que una aplicación sea especializada no elimina la necesidad de proteger la información confidencial y verificar cuidadosamente sus resultados.

    8218109.5K viewsView on X
  • Aug 7, 202629x their median

    Si estudias Derecho, ejerces la abogacía o enseñas materias jurídicas, en esta cuenta encontrarás cada semana: — Explicaciones claras de reformas y sentencias. — Consejos de litigación y argumentación. — Herramientas de inteligencia artificial. — Lecturas y materiales para seguir aprendiendo. El Derecho cambia todos los días. La formación jurídica también debe hacerlo. Sígueme y comparte esta publicación con alguien a quien pueda servirle.

    7017008.4K viewsView on X
  • Sep 16, 202621x their median

    ⚖️🤖 La IA jurídica no sustituye el criterio profesional: lo vuelve todavía más importante. Una herramienta de inteligencia artificial puede ayudarnos a resumir expedientes, comparar contratos, localizar líneas de investigación, ordenar hechos y preparar borradores. Sin embargo, la responsabilidad por el resultado sigue siendo del abogado. Antes de utilizar cualquier contenido generado por IA, conviene aplicar cinco controles: ✅ Verificar normas, jurisprudencia y citas. ✅ Contrastar la información con fuentes oficiales. ✅ Proteger los datos personales y la información confidencial. ✅ Identificar errores, omisiones y posibles sesgos. ✅ Revisar el documento completo antes de firmarlo o presentarlo. La verdadera competencia profesional ya no consiste solamente en saber formular prompts. Consiste en integrar la IA dentro de un método de trabajo jurídico riguroso, seguro y verificable. La IA puede producir un borrador; el abogado debe aportar el juicio jurídico.

    4216228.3K viewsView on X
  • Sep 18, 202615x their median

    La aplicación del #CNPCyF no debe seguir aplazándose. México necesita una justicia civil y familiar más ágil, oral, accesible y centrada en las personas. Es momento de acelerar la capacitación, la infraestructura y la preparación institucional. Un error como lo fue la reforma judicial no debe obstaculizar la justicia civil y familiar que la gente merece.

    395206.8K viewsView on X
  • Sep 12, 202611x their median

    📘 Curso básico de Responsabilidad Civil Médica ¿Existió negligencia médica o se materializó un riesgo inherente al tratamiento? ¿Quién debe responder y cómo se acredita el daño? En esta obra, Mauricio Sarmiento Chavero analiza de manera clara y práctica temas esenciales como la lex artis, el consentimiento informado, el expediente clínico, la prueba pericial, el nexo causal, la reparación integral, la pérdida de oportunidad y la responsabilidad de las instituciones de salud. Una herramienta indispensable para abogados, médicos, jueces, peritos, estudiantes y profesionales de la gestión hospitalaria. 📖 546 páginas 💰 Precio: $490 MXN 👉 Adquiérelo aquí: https://t.co/CM9ZJjPp3h

    266005.3K viewsView on X
  • Sep 18, 20269.3x their median

    ⚖️ ¡Especialízate en Derecho de Daños! Aprende sobre responsabilidad civil, daño moral, daños punitivos, malpraxis médica y reparación integral, mediante casos reales y criterios jurisprudenciales. 💻 En línea | 30 horas en vivo 📅 Inicio: 15 de octubre Inscríbete aquí: https://t.co/DmxDrccFSE

    199002.7K viewsView on X
  • Sep 15, 20268.7x their median

    📘 Los 7 hábitos del abogado altamente efectivo Trabajar mucho no siempre significa trabajar con efectividad. Por eso escribí este libro: para compartir algunas herramientas que nos ayuden a pensar estratégicamente, argumentar con precisión, administrar mejor el tiempo y construir una práctica profesional que genere verdadero valor. En sus páginas explico cómo fortalecer el criterio jurídico, aumentar la credibilidad profesional y desarrollar una carrera con propósito y dirección. Espero que sea una lectura útil para estudiantes, abogados, académicos y personal judicial que buscan llevar su desempeño al siguiente nivel. 🛒 Conoce el libro y adquiérelo aquí: https://t.co/0WzxfsAxYO

    197003.3K viewsView on X
  • Sep 14, 20267.3x their median

    Tareas de la IA para el día a día en la abogacía: https://t.co/Hb1Ko6pmoq

    184007.0K viewsView on X
  • Sep 2, 20266.7x their median

    🎓 ¡La argumentación jurídica está evolucionando! Ya no podemos pensar en un "sujeto universal". Hoy, la justicia exige una argumentación diferenciada que considere la vulnerabilidad: 🔹 Perspectiva de género. 🔹 Derechos de las infancias. 🔹 Personas con discapacidad y pueblos indígenas. En esta charla magistral te explico las metodologías necesarias para juzgar y litigar con estas gafas de protección de derechos humanos. 🚀 ¡No te la pierdas!: https://t.co/R34f3pzlow

    99203.5K viewsView on X

Ranked by total interactions across everything we have tracked for this account, which is a longer history than the 30-day window the rates above use. The multiple compares each post to this account's own median.

Recurring topics

#cnpcyf#tiktok

The most frequent hashtags in the sampled posts. They describe what this account writes about; they are not a performance signal, and the catalog-wide breakdown on the hub shows how little hashtag count moves.

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Reading these numbers

A typical post picks up 3 interactions against 295K followers, an engagement rate of 0.001%. Measured over 83 original posts, its engagement rate beats 6% of 15,519 tracked accounts of a similar size. That is a reason to look at how the audience behaves - reply depth, saves, whether the followers are recent - rather than a conclusion about it on its own. Posts are seen about 2.0K times each, and 0.148% of those impressions turn into an interaction. That is about 0.685% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 3.2 posts a day over the last 30 days, though only 43% of days saw any activity at all. Most posts go out around 01:00 UTC, and Saturday is the busiest day of the week. Of the 83 posts sampled, 92% link out. The account's strongest tracked post pulled 424 interactions, about 141x its own typical post. Recurring topics include #cnpcyf, #tiktok.

What is Miguel Carbonell's engagement rate on X?
Miguel Carbonell (@MiguelCarbonell) has an engagement rate of 0.001%, based on the median interactions across 83 original posts from the last 30 days against 294,762 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.001%, Miguel Carbonell sits below the 10th percentile of the 158,036 accounts in this comparison. Those comparison accounts are all large ones, because our scanning cadence is weighted towards big accounts, so this is a ranking among peers of similar scale rather than a ranking across X.
Does @MiguelCarbonell have real engagement?
Its engagement rate beats 6% of the tracked X accounts closest to it in follower count (15,519 accounts), which puts it in the bottom 10% for its size group. Ranking inside a size band matters because engagement rate falls as accounts grow, so a raw rate would mostly re-measure the follower count. It is a starting point for a look at follower quality, not a verdict on it.
When does @MiguelCarbonell post?
Most posts go out around 01:00 UTC, and Saturday is its busiest day, at roughly 3.2 posts per day across the measured window.

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