NAMES · WHO THE NEWS NAMED · 10-17 TO 10-30

Flávio Bolsonaro

person Brazilian politician, former state deputy of Rio de Janeiro and Senator of the Federative Republic of Brazil since 2019 (born 1981) president-elect. Wikidata

Named in 3884 articles by 230 newsrooms, in 421 stories, on 14 of the last 14 days, first on 10-17.

Rank
0.161
by the company kept · 1 is the top name
Articles
3884
10319 mentions
Linked to
1325
names in 2+ shared articles
This week
2.2×
against last week
In Donald Trump's circle
53%
of that hub's 30 closest names are also linked here
Bridging
0.0321
between groups · 1 is the top bridge

Most exclusively tied top 30 · ties that pass the test on the right, most exclusive first

The names that appear with Flávio Bolsonaro in a large share of their own coverage: this name's own company. Exclusivity runs from 0, two names that meet no more than chance would have them, to 1, two names that only ever appear together. A name that is in everything, a president, is exclusive to no one, so the big names fall away here and the names that belong to this one stay. Only ties that pass the strength test count, so a pair seen twice is not a tie. Places are context and have no page.

NameKindExclusivityTogether
Brazilgpe0.7373298
TSEorg0.716549
Jair Bolsonaroperson0.7131119
Lulaperson0.711859
Flávioperson0.701579
Rio de Janeirogpe0.688589
ELECTIONSorg0.686478
Liberal Partyorg0.668413
Brasíliagpe0.655330
São Paulogpe0.588292
Latin Americaloc0.577674
Runoffgpe0.53785
Riogpe0.503138
Visasgpe0.49851
Quaestloc0.47247
Northeastloc0.45198
Chilegpe0.45161
Argentinagpe0.447397
Acapulcogpe0.43816
Focusgpe0.42743
WhatsApporg0.425202
Southeastloc0.42236
Kalshiperson0.406104
Menlo Parkgpe0.38414
Hurricane Vanceevent0.387
Javier Mileiperson0.37790
Boliviagpe0.37233
Fleeinggpe0.3716
Mileiorg0.36560
Colombiagpe0.36181

Most strongly tied the ties chance explains least

How sure the record is that two names appear together for a reason. Strength is a standard statistical test (log-likelihood): above 10.8, chance would produce the pairing less than once in a thousand times. It grows with the number of articles, so the biggest names come first here; the list on the left is where this name's own company shows.

NameStrengthTogether
Brazil265653298
Jair Bolsonaro96641119
Lula7781859
TSE5605549
Flávio5586579
Rio de Janeiro5462589
Latin America4673674
ELECTIONS4626478
Liberal Party3930413
Brasília3191330
São Paulo2405292
Argentina2103397
United States18951402
WhatsApp1110202
Rio1018138

Articles per day

  • 17
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  • 25
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  • 28
  • 29
  • 30

The hubs' circles share of each hub's 30 closest names that are also linked to this one

The eight most-named figures each have an inner circle: the thirty names most tied to them. This is how much of each circle this name is also tied to. A count of shared company in the coverage, nothing more.

Shared with Donald Trump: Barack Obama, Congress, Cook Political Report, Defense, Department of Justice, Department of State, GOP, Hill, JD Vance, Jair Bolsonaro, Jared Kushner, Joe Biden, MAGA, Marco Rubio, NBC News, Oval Office, Republican Party, Senate, Substack, US Department of Justice.

As the sources put it relations a model read from the stories' sources · shown when two or more stories say it

The words are the sources' words, read out by a model; nothing here reads intent. A relation from one story alone is not shown.

  • 9 stories
    Flávio Bolsonaro son of Jair Bolsonaro Lula and Flávio Bolsonaro make final push before Brazil runoff
  • 9 stories
    Jair Bolsonaro father of Flávio Bolsonaro Lula and Flávio Bolsonaro make final push before Brazil runoff

The year 4429 articles on 56 days, 2026-05-01 to 2026-10-29 · weekly bars · 14 months on record

Left is a year ago, right is this week. Older days come from headlines only, so their counts run lower than live days.

Named together, month by month · by surprise, among that month's articles · names with a page

2026-05 White House 2 · Donald Trump 4

Stories that name Flávio Bolsonaro newest edition first · 40 shown

Names are found by a language model trained to spot them, joined to one spelling per person, and counted per article. The relations are the model's reading of the sources. Everything else is a count of who was written about together; it says nothing about why.