emicida engagement report
@emicida - 1.8M followers on X
Measured over 47 original posts from a 30-day window, last computed on August 22, 2026.
Engagement
A typical post picks up 738 interactions against 1.8M followers, an engagement rate of 0.041%. Measured over 47 original posts, its engagement rate beats 66% of 1,003 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 50K times each, and 1.49% of those impressions turn into an interaction. That is about 2.78% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 3.6 posts a day over the last 30 days, with activity on roughly 60% of days. Most posts go out around 13:00 UTC, and Tuesday is the busiest day of the week. Of the 47 posts sampled, 62% carry an image or video and 30% link out. The account's strongest tracked post pulled 47K interactions, about 63x its own typical post. Recurring topics include #g1, #marx, #cumulonimbus.
Measured over 47 original posts from a 30-day window, last computed on August 22, 2026. Recurring tags: #g1, #marx, #cumulonimbus.
Compared with accounts its own size
emicida's engagement rate beats 66% of the tracked X accounts closest to it in follower count (1,003 accounts, accounts of similar size (decile 8 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 66% 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 0.041%, emicida sits above the 25th percentile of the 11,249 accounts in this comparison. That places it in the below the median band, which runs 0.007% to 0.05%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.001% |
| 25th percentile | 0.007% |
| 50th percentile | 0.05% |
| 75th percentile | 0.336% |
| 90th percentile | 2.48% |
| 99th percentile | 322.2% |
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 13:00 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 | 0% | 15K |
| 01:00 UTC | +4% | 15K |
| 02:00 UTC | -1% | 14K |
| 03:00 UTC | -2% | 15K |
| 04:00 UTC | -5% | 12K |
| 05:00 UTC | -5% | 12K |
| 06:00 UTC | -7% | 13K |
| 07:00 UTC | -6% | 14K |
| 08:00 UTC | -7% | 17K |
| 09:00 UTC | -2% | 19K |
| 10:00 UTC | -2% | 20K |
| 11:00 UTC | -2% | 22K |
| 12:00 UTC | -1% | 24K |
| 13:00 UTC | +1% | 27K |
| 14:00 UTC | -2% | 29K |
| 15:00 UTC | -1% | 30K |
| 16:00 UTC | -1% | 30K |
| 17:00 UTC | -1% | 28K |
| 18:00 UTC | +1% | 25K |
| 19:00 UTC | 0% | 24K |
| 20:00 UTC | 0% | 22K |
| 21:00 UTC | +1% | 19K |
| 22:00 UTC | +1% | 17K |
| 23:00 UTC | +1% | 15K |
Show engagement by day of week as a table
| Day | Vs author median | Posts |
|---|---|---|
| Sunday | +8% | 59K |
| Monday | +8% | 72K |
| Tuesday | +1% | 94K |
| Wednesday | -4% | 78K |
| Thursday | -3% | 71K |
| Friday | -5% | 73K |
| Saturday | +2% | 64K |
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 | 62% of posts | +79% | +73% to +85% | 5.8K |
| Outbound link | 30% of posts | -49% | -50% to -47% | 6.1K |
| Typical length | - | +13% | +10% to +15% | 6.4K |
- 62% of this account's sampled posts carry an image or video. Across the catalog, posts with an image or video run 79% above the same accounts' other posts.
- 30% of its posts carry a link off X. Across the catalog, posts with an outbound link run 49% below the same accounts' other posts.
- Its average post runs 301 characters, which falls in the over 280 characters band. Across the catalog, posts over 280 characters run 13% 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
- Aug 14, 202663x their median
Médico Neuropediatra José Salomão Schwartzman questiona aumento de diagnóstico de crianças Autistas no Brasil e diz que colegas da profissão podem estar confundindo “gente esquisita” com Autistas. Segundo o profissional, características como introversão, interesses específicos e hiperfoco, quando analisadas isoladamente, precisam ser diferenciadas dos critérios clínicos necessários para um diagnóstico de TEA.
- Aug 17, 202649x their median
Exclusive: A rare bookseller suspected his books were being bought by AI companies. He stuck an AirTag in a book and we tracked it to a secretive Amazon facility in Las Vegas where they scan and destroy books called VGT3: https://t.co/WXSo0zB6JF
- Aug 16, 202630x their median
Depois que Maduro foi sequestrado, depois que os EUA invadiram a Venezuela, depois que todo lucro do Petróleo foi roubado, depois que mais de 20 bilhões em ouro foi roubado, a Venezuela nunca mais teve fome, gente passando necessidade, ditadura, corrupção e tudo de ruim que a imprensa reportava naquele país simplesmente desapareceu como um passe de mágica.
- Aug 15, 202629x their median
Two economists mathematically proved that AI will destroy the economy. Researchers from Wharton and Boston University published a terryfiying paper called "The AI Layoff Trap." They mapped out the economic end-game of the AI transition, and it exposes a fatal flaw in competitive capitalism. When a company replaces a worker with AI, it captures 100% of the wage savings. But that displaced worker is also a consumer. When they lose their job, they stop buying things. The company gets all the savings, but the loss of consumer demand is spread across the entire economy. If there are 20 competitors in a market, a CEO only absorbs 1/20th of the economic damage their layoffs just created. So every single rational CEO has a mathematical incentive to automate as fast as possible. They can literally see the cliff approaching, and they still step on the gas. It triggers an unavoidable Prisoner’s Dilemma. If you don't automate, your competitors will, and they will crush you on price. It doesn't just hurt workers. It destroys the businesses, too. The economy gets trapped in an automation arms race. Companies fire their workforce to stay competitive, until the entire consumer base is completely hollowed out. At the limit, the paper concludes: “Firms automate their way to boundless productivity and zero demand.” And the scariest part? The researchers mathematically tested every popular fix. Universal Basic Income? Fails. It raises the living standard but doesn't change the corporate incentive to cut jobs. Retraining? Fails. Worker equity? Fails. The paper proves that more competition actually makes the collapse happen faster. And "better" AI makes the damage worse. The only thing that mathematically stops the collapse is a targeted automation tax, forcing companies to pay for the purchasing power they destroy before they automate the job.
- Aug 8, 202622x their median
Erika Hilton é deputada federal, recebe aproximadamente R$ 33 mil líquidos e declarou ter cerca de R$ 15 mil na conta. Isso é possível? Sim. E quem vem de baixo sabe exatamente por quê. Quem nasce na pobreza e consegue chegar a um cargo de destaque não passa, de uma hora para outra, a viver como se tivesse esquecido de onde veio. Quem vem de baixo muitas vezes não sustenta apenas a si mesmo. Sustenta mãe, irmãos, sobrinhos, parentes e pessoas que dependem daquela renda para sobreviver. E ainda existem aluguel, alimentação, transporte, contas, saúde e uma infinidade de responsabilidades que não aparecem em uma declaração de patrimônio. É muito fácil olhar de fora e perguntar: “Como alguém ganha R$ 33 mil e tem só R$ 15 mil na conta?” Difícil é entender que, para quem veio da periferia, dinheiro muitas vezes não significa patrimônio. Significa sobrevivência, responsabilidade e dignidade para uma família inteira. Quem nunca precisou escolher qual conta pagar, quem nunca teve que ajudar a própria família a colocar comida na mesa, talvez nunca entenda. Não confundam salário alto com vida fácil. A elite acumula patrimônio. Quem vem de baixo, muitas vezes, primeiro precisa reconstruir a própria vida , e ajudar a reconstruir a de quem ficou para trás. Essa é uma realidade que só quem veio de onde nós viemos conhece.
- Aug 20, 202614x their median
AINDA FALTA UMA JOGADA.
- Aug 21, 20269.5x their median
O tamanho do MST (2023) https://t.co/qe5x20G2EY
- Aug 5, 20267.1x their median
Bial: "Você virou um ícone da esquerda". Wagner Moura: "Você prosperou na sua carreira como ator, então você conseguiu ter dinheiro pra comprar suas coisas. Os caras que são pela meritocracia, né? Quando eu tava lá em Rodelas, fui pobre, aí eu podia ser de esquerda, né?" Wagner Moura escancarando a hipocrisia das pessoas que defendem a meritocracia.
- Aug 6, 20267.0x their median
Bets tiraram R$ 62,5 bilhões das famílias brasileiras em 2025, aponta estudo https://t.co/kHUc1NnleF #g1 https://t.co/WJNcKaeSKJ
- Aug 10, 20266.3x their median
Com 81% do ensino médio em tempo integral, Piauí tem maior salto no Ideb em duas décadas https://t.co/nvD9Hoqiik
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 738 interactions against 1.8M followers, an engagement rate of 0.041%. Measured over 47 original posts, its engagement rate beats 66% of 1,003 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 50K times each, and 1.49% of those impressions turn into an interaction. That is about 2.78% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 3.6 posts a day over the last 30 days, with activity on roughly 60% of days. Most posts go out around 13:00 UTC, and Tuesday is the busiest day of the week. Of the 47 posts sampled, 62% carry an image or video and 30% link out. The account's strongest tracked post pulled 47K interactions, about 63x its own typical post. Recurring topics include #g1, #marx, #cumulonimbus.
- What is emicida's engagement rate on X?
- emicida (@emicida) has an engagement rate of 0.041%, based on the median interactions across 47 original posts from the last 30 days against 1,785,960 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.041%, emicida sits above the 25th percentile of the 11,249 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 @emicida have real engagement?
- Its engagement rate beats 66% of the tracked X accounts closest to it in follower count (1,003 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 @emicida post?
- Most posts go out around 13:00 UTC, and Tuesday is its busiest day, at roughly 3.63 posts per day across the measured window.