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Faka 🇧🇷🇧🇷🇮🇱🇺🇸🇱🇧 engagement report

@opropriofaka - 355K followers on X

Measured over 38 original posts from a 30-day window, last computed on October 6, 2026.

Engagement

Middle of its size range
Per follower
0.095%
of 355K followers
Per impression
2.84%
12K views on a typical post
Reach
3.33%
of its followers see a post
Typical post
336
interactions (median)
Saved
0.301%
36 bookmarks on a typical post
Posting rate
3.2/day
active 73% of days
Peak time
23:00 UTC
Sunday

A typical post picks up 336 interactions against 355K followers, an engagement rate of 0.095%. Measured over 38 original posts, its engagement rate beats 70% of 20,444 tracked accounts of a similar size, which puts it in the middle of its size range rather than at either end. Posts are seen about 12K times each, and 2.84% of those impressions turn into an interaction. That is about 3.32% 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, with activity on roughly 73% of days. Most posts go out around 23:00 UTC, and Sunday is the busiest day of the week. Of the 38 posts sampled, 61% carry an image or video, 21% are part of a thread and 24% link out. The account's strongest tracked post pulled 23K interactions, about 68x its own typical post.

Measured over 38 original posts from a 30-day window, last computed on October 6, 2026.

Compared with accounts its own size

Faka 🇧🇷🇧🇷🇮🇱🇺🇸🇱🇧's engagement rate beats 70% of the tracked X accounts closest to it in follower count (20,444 accounts, accounts of similar size (decile 10 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 77% 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 0.095%, Faka 🇧🇷🇧🇷🇮🇱🇺🇸🇱🇧 sits above the 25th percentile of the 205,261 accounts in this comparison. That places it in the below the median band, which runs 0.024% to 0.143%.

p100.004%
p250.024%
p50 (median)0.143%
p750.678%
p902.55%
p9982.4%
Engagement rate as a share of followers, across the 205,261 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,894 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 percentile0.004%
25th percentile0.024%
50th percentile0.143%
75th percentile0.678%
90th percentile2.55%
99th percentile82.4%

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 23:00 UTC, and Sunday 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: 23:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 23:00 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: Sunday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Sunday
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 video61% of posts+111%+108% to +115%34K
Outbound link24% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 61% 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.
  • 24% 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 719 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

  • Oct 5, 202668x their median

    A direita saiu vitoriosa da eleição, mas quem perdeu não foi a esquerda. Confira na análise. https://t.co/5vGxvjXWxM

    19K3.3K370132420K viewsView on X
  • Aug 28, 202650x their median

    Durante mi militancia en el marxismo asistí a muchísimas charlas. Y con el tiempo empecé a notar un patrón muy interesante: Podíamos pasar diez horas hablando de cómo tomar el poder. Diez horas hablando de revolución, de estrategia, de organización, de activismo, de cómo derrotar al enemigo de clase, de cómo transformar las relaciones de poder. Pero había una pregunta que nunca aparecía: ¿Y después qué? Es decir: ¿Cómo vamos a crear riqueza? ¿Cómo vamos a organizar los incentivos? ¿Cómo vamos a asignar recursos escasos? Silencio. Y fue ahí cuando lo entendí. El marxismo tiene una obsesión patológica con conquistar el poder y una pobreza extraordinaria de respuestas sobre cómo utilizarlo para construir una sociedad funcional. La revolución está perfectamente descrita. La sociedad posterior, en absoluta oscuridad. Porque decir que algún día llegará una sociedad sin explotación, sin clases y sin contradicciones es muy fácil. Lo difícil es explicar cómo llegas hasta ahí sin destruir en el camino los mecanismos que permiten a una sociedad producir y prosperar. Y cuanto más preguntaba, más evidente se volvía. El marxista podía explicarte durante horas quién tenía la culpa. Pero cuando preguntabas cómo funcionaría concretamente esa nueva sociedad, las respuestas se hacían más oscuras. Y quizá por eso, cuando intentaba ahondar en estos temas, la conversación siempre volvía al mismo lugar: cómo tomar el poder. No pasaban de eso. Por eso hoy, cuando escucho a alguien hablar durante horas sobre la explotación, destruir el sistema y construir una sociedad nueva, mi primera pregunta es: ¿Cómo vas a hacerla funcionar? Nunca verás a un marxista responderte esto porque literalmente no puede, no sabe. Entonces deduce que, al igual que como con cualquier otra estafa piramidal, cuando hagas preguntas directas y concretas al marxismo, este intentará evitar en todo momento darte respuestas claras. Nunca lo olvides.

    11K4.6K562309247K viewsView on X
  • Sep 12, 202616x their median

    Hi Dario and Sam 👋 If you want to slow down your AI development, feel free to do it. Anyone preventing you? Slow down, stop, or even shut down your AI. Why do you need the government to intervene?* *Answer: To stop your emerging competitors.

    4.6K63815935123K viewsView on X
  • Sep 8, 202613x their median

    JUST IN 🚨: Bank of Japan is dumping Japanese Bonds at the fastest pace in history 📉 📉 https://t.co/nxiEUz77aM

    3.7K6807116377K viewsView on X
  • Sep 21, 20268.0x their median

    Every government-issued paper currency in history has collapsed. Every single one. Rome debased the denarius until it held almost no silver. Weimar Germany printed the mark into oblivion by 1923, destroying middle-class savings in under four years. The Continental dollar, the French assignat, the Zimbabwean dollar, the Venezuelan bolivar. The list runs long and the ending never changes. Central banks manage fiat currency to fund government spending that tax revenue cannot cover, not to protect your purchasing power. Inflation is a tax. Every dollar created without corresponding production transfers purchasing power from savers to first spenders, which is always the government and its connected institutions. The dollar has lost over 97% of its purchasing power since the Federal Reserve opened for business in 1913. That loss did not happen accidentally; the Fed ran the printing press, and you absorbed the damage. Defenders will argue that modern central banking is more sophisticated than Weimar. The math remains identical: spend beyond revenue, monetize the gap, dilute the currency. Sophistication only determines the speed of the destruction. No fiat currency has ever survived indefinitely. Not one government has voluntarily relinquished the power to inflate. Given those two facts, the current dollar's long-term trajectory requires no guesswork.

    1.8K6151498963K viewsView on X
  • Oct 1, 20266.9x their median

    Communist Friends! https://t.co/J7RB0Lel8q

    1.8K488352854K viewsView on X
  • Sep 22, 20266.2x their median

    Uma tarefa hercúlea: explicar para um esquerdista o que é ser de esquerda; explicar para um marxista comunista o que é, na prática, ser comunista. Os objetivos declarados dos comunistas são apenas cenouras de burro. O objetivo real não é abolir a elite, e sim se tornar a elite, e através dela chegarem ao exercício total de poder e controle.

    1.8K247691135K viewsView on X
  • Sep 23, 20265.4x their median

    Quem se lembra do piloto japonês da F1 Satoru Nakajima? Era aquele piloto "barbeiro", braço duro, das décadas de 80 e 90, que vivia batendo e rodando sozinho nas pistas, frequentemente indo parar nas caixas de brita. Eu me lembrei dele na semana passada, ao responder de forma direta à pergunta do @FelipeSestaro sobre "porque o PT tem que sair do poder". Com @luizferoxo e @FelipeSestaro para o @irontalksbr podcast.

    1.5K25163657K viewsView on X
  • Sep 27, 20265.2x their median

    Carl Menger published On the Origins of Money in 1892, and it remains arguably the most devastating refutation of the statist theory of money ever written. Menger worked in Vienna during the late 19th century, when the German Historical School dominated European economics. That school rejected universal economic laws and insisted governments shape institutions deliberately. Menger spent his career dismantling that claim. His 1871 "Principles of Economics" launched the marginalist revolution, and his 1892 essay finished the job on monetary theory specifically. The core argument is simple and brutal: nobody invented money. No king decreed it, no parliament voted it into existence. Individual traders, acting on self-interest, gradually converged on the most saleable commodity available to them. Gold and silver won because they are durable, divisible, portable, and scarce. This process happened spontaneously, across cultures, without central coordination. Menger called the most saleable good the most "liquid" commodity, and traced how liquidity differences between goods naturally selected winners over centuries of voluntary exchange. Menger exposes the state's foundational lie: that money derives its validity from government authority. Every central bank, every fiat currency regime, every IMF directive operates on that lie. The Federal Reserve, which prints dollars with no commodity anchor and has destroyed roughly 97% of the dollar's 1913 purchasing power, exists entirely because the state captured and corrupted a spontaneous market institution. Menger's legacy is the intellectual ammunition to say clearly that central banks are parasites on a system they did not build and cannot improve. The market created money, then Governments hijacked it.

    1.3K384803760K viewsView on X
  • Aug 25, 20264.0x their median

    The natural state of a free market economy is deflation. Technology makes production cheaper every year. Your 2026 iPhone costs less in real labor-hours than a 1995 Nokia cost. Hard drives, food processing, logistics: all get cheaper when producers compete and innovate without interference. This matters because it reframes every inflation conversation you've ever had. The Federal Reserve doesn't just inflate prices from zero. It inflates them on top of a natural deflationary baseline. If technology would have dropped your cost of living 3% annually, and the CPI shows 4% inflation, your real purchasing power destruction runs closer to 7%. The CPI itself is a bureaucratic construction built on hedonic adjustments, substitution assumptions, and owner's equivalent rent rather than actual housing costs. These methodological choices consistently produce lower numbers. Sound money advocates since Murray Rothbard have pointed this out for decades. You feel this in your wallet. Grocery bills, rent, insurance, college tuition: the prices you actually pay have outpaced official CPI figures for twenty years running. The government measures inflation with a rubber ruler and then congratulates itself for keeping it low.

    993247674272K 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.

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Reading these numbers

A typical post picks up 336 interactions against 355K followers, an engagement rate of 0.095%. Measured over 38 original posts, its engagement rate beats 70% of 20,444 tracked accounts of a similar size, which puts it in the middle of its size range rather than at either end. Posts are seen about 12K times each, and 2.84% of those impressions turn into an interaction. That is about 3.32% 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, with activity on roughly 73% of days. Most posts go out around 23:00 UTC, and Sunday is the busiest day of the week. Of the 38 posts sampled, 61% carry an image or video, 21% are part of a thread and 24% link out. The account's strongest tracked post pulled 23K interactions, about 68x its own typical post.

What is Faka 🇧🇷🇧🇷🇮🇱🇺🇸🇱🇧's engagement rate on X?
Faka 🇧🇷🇧🇷🇮🇱🇺🇸🇱🇧 (@opropriofaka) has an engagement rate of 0.095%, based on the median interactions across 38 original posts from the last 30 days against 354,966 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.095%, Faka 🇧🇷🇧🇷🇮🇱🇺🇸🇱🇧 sits above the 25th percentile of the 205,261 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 @opropriofaka have real engagement?
Its engagement rate beats 70% of the tracked X accounts closest to it in follower count (20,444 accounts), which puts it in the middle of its size range 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 @opropriofaka post?
Most posts go out around 23:00 UTC, and Sunday is its busiest day, at roughly 3.2 posts per day across the measured window.

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