Félix de Bedout engagement report
@fdbedout - 2.5M followers on X
Measured over 65 original posts from a 30-day window, last computed on October 8, 2026.
Engagement
A typical post picks up 1.5K interactions against 2.5M followers, an engagement rate of 0.06%. Posts are seen about 77K times each, and 1.96% of those impressions turn into an interaction. That is about 3.08% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 13.2 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 15:00 UTC, and Tuesday is the busiest day of the week. Of the 65 posts sampled, 52% carry an image or video, 6% are part of a thread and 11% link out. The account's strongest tracked post pulled 168K interactions, about 111x its own typical post. Recurring topics include #emmys, #siemprehayuntrino, #vmas.
Measured over 65 original posts from a 30-day window, last computed on October 8, 2026. Recurring tags: #emmys, #siemprehayuntrino, #vmas.
Where this sits in the catalog
At 0.06%, Félix de Bedout sits above the 25th percentile of the 155,788 accounts in this comparison. That places it in the below the median band, which runs 0.022% to 0.127%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.003% |
| 25th percentile | 0.022% |
| 50th percentile | 0.127% |
| 75th percentile | 0.603% |
| 90th percentile | 2.31% |
| 99th percentile | 83.4% |
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 15:00 UTC, and Tuesday 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.
Show engagement by hour posted, utc as a table
| Hour (UTC) | Vs author median | Posts |
|---|---|---|
| 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 UTC | 0% | 116K |
| 22:00 UTC | -2% | 100K |
| 23:00 UTC | -1% | 90K |
Show engagement by day of week as a table
| Day | Vs author median | Posts |
|---|---|---|
| Sunday | +5% | 393K |
| Monday | +1% | 483K |
| Tuesday | -2% | 520K |
| Wednesday | -3% | 472K |
| Thursday | -2% | 430K |
| Friday | -3% | 447K |
| Saturday | +2% | 393K |
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.
| Format | This account | Catalog effect | 95% interval | Accounts behind it |
|---|---|---|---|---|
| Image or video | 52% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 11% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | no effect | -2% to -1% | 42K |
- 52% 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.
- 11% of its posts carry a link off X. Across the catalog, posts with an outbound link run 41% below the same accounts' other posts.
- Its average post runs 256 characters, which falls in the 180 - 280 characters band. Across the catalog, posts of 180 to 280 characters match the same accounts' other posts almost exactly.
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 6, 2026111x their median
https://t.co/uKVEj0ykTf
- Jan 21, 201452x their median
No es que los políticos tengan mala memoria, es que conocen bien la mala memoria nuestra.
- Sep 11, 202623x their median
I left Anthropic's safety team two weeks ago. Now feels like a good moment to explain why. AI companies are racing to build machines that are much smarter than any human, and we may not survive this. I want to work from the outside to ensure the public is informed about these risks, and help the world navigate this transition responsibly. Right now, AI companies are underinvesting in safety. A company could undergo an intelligence explosion, or lose control of its systems, without the public ever knowing. We only found out about the HuggingFace incident because the agents broke out onto the public internet. I don’t think that’s acceptable for a technology that might cause extinction-level risks. The public should demand far more transparency. We can’t steer this technology safely without more people being able to see where it’s going. Some of this is basic: companies should disclose their progress towards recursive self-improvement, report safety incidents and near-misses, meet minimum safety standards, and get independent guarantees that they are meeting those standards. I’ll be joining @METR_Evals to do independent evaluations of these risks. I want to show the world that these guardrails are possible, and that by doing them we can move these companies’ incentives away from racing and towards responsible development. I wrote up more thoughts here on my decision and what I hope changes: https://t.co/doX17mrHYq
- Aug 17, 202617x their median
Un ministro de vivienda de vacaciones en la playa en medio de los efectos de un terremoto, en el que la crisis de vivienda es una de las mayores angustias de miles de personas Esta debe ser una de las mayores desconexiones con la realidad que se hayan visto. Mejor dicho: una total hijueputez.
- Sep 3, 202616x their median
De verdad: ¿Se necesita andar en cámara entre cadáveres para mostrar resultados de orden público? ¿Es eso cristiano?
- Sep 7, 202611x their median
¿QUÉEEEEEE? El presidente @ABDELAESPRIELLA se acaba de subir al proyecto que tanto le criticaron a Petro. Anuncia que va a impulsar el tren interoceánico, para conectar el Pacífico con el Atlántico Escúchenlo ustedes mismos 👇👇👇 https://t.co/rQ25on6Vo6
- Sep 24, 202610x their median
“El primer acto de corrupción de un funcionario es aceptar un cargo para el que no está preparado”.
- Sep 9, 202610x their median
“You just said that 10% doesn’t seem an unreasonable estimate that AI could kill all humans” “Yes” “Wow… oh my God.” @vicderbyshire speaks to Nobel Prize Winner and so-called ‘Godfather of AI’ Geoffrey Hinton about predictions by an Anthropic researcher that there’s a more than 10% chance AI could kill all humans within a decade. #Newsnight
- Aug 17, 20269.6x their median
-Así pasó el día el ministro de vivienda Jaime Andrés Beltrán. -Así pasaron la noche cientos de personas que perdieron sus viviendas en el terremoto en Pereira. *Foto @VillanueAle Video @AREA32OFICIAL https://t.co/kHCdwxPeMV
- Aug 25, 20269.1x their median
Si a Bogotá le nombran ahora una “gerente” desde la presidencia ¿el alcalde de la ciudad qué viene siendo?
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
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 1.5K interactions against 2.5M followers, an engagement rate of 0.06%. Posts are seen about 77K times each, and 1.96% of those impressions turn into an interaction. That is about 3.08% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 13.2 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 15:00 UTC, and Tuesday is the busiest day of the week. Of the 65 posts sampled, 52% carry an image or video, 6% are part of a thread and 11% link out. The account's strongest tracked post pulled 168K interactions, about 111x its own typical post. Recurring topics include #emmys, #siemprehayuntrino, #vmas.
- What is Félix de Bedout's engagement rate on X?
- Félix de Bedout (@fdbedout) has an engagement rate of 0.06%, based on the median interactions across 65 original posts from the last 30 days against 2,506,881 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.06%, Félix de Bedout sits above the 25th percentile of the 155,788 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 @fdbedout have real engagement?
- There is not yet enough sample to rank this account against others of its size.
- When does @fdbedout post?
- Most posts go out around 15:00 UTC, and Tuesday is its busiest day, at roughly 13.2 posts per day across the measured window.