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Preet Bharara

Celebrities and Influencers
Professionals
Playground →Docs

Seven of Preet Bharara's ten nearest neighbors by audience similarity are journalists, and the remaining three span authors, politicians, and government officials — not a single fellow Professional appears in the top 10. Similarity here measures how closely two entities' audiences resemble each other in composition; a score near 1.0 indicates near-identical audience shape.

The shape is flat: scores run from 0.99 to 0.98 with almost no gradient between them. David Frum leads at 0.99, followed closely by Katy Tur at 0.99 and Molly Jong-Fast at 0.99. Sally Yates (0.99) and Natasha Bertrand (0.99) are nearly indistinguishable from them. Further down, Robert Costa (0.99), Philip Rucker (0.98), Peter Baker (0.98), and David Fahrenthold (0.98) continue the journalist run, with Norm Eisen (0.98) as the sole government official in the set. The dominant subcategory is political journalists and reporters — the kind who cover law, government, and accountability — alongside one author and one politician. No single neighbor pulls away from the pack; the cluster is cohesive rather than anchored.

The flat, journalist-heavy shape suggests Bharara's audience is drawn from the same dense network of politically engaged news consumers who follow Washington correspondents and legal commentators — an audience defined less by his professional category than by the media ecosystem surrounding it.

Nearest neighbors by audience shape

Cosine similarity over Persona Live audience composition.
"Entities whose overall audience profile most closely matches this one — people who follow one tend to follow the other."

Raw data

Attention graph /similar sample results  (free):
{ "handle": "preetbharara", "title": "Preet Bharara", "category": "Celebrities and Influencers", "subcategory": "Professionals", "resolved": "preetbharara", "k": 10, "shape": "flat", "filter": null, "results": [ { "handle": "davidfrum", "title": "David Frum", "category": "Celebrities and Influencers", "subcategory": "Journalists", "similarity": 0.9924, "drivers": [ "A02", "G01", "A01", "G03", "J01" ] }, { "handle": "katyturnbc", "title": "Katy Tur", "category": "Celebrities and Influencers", "subcategory": "Journalists", "similarity": 0.9894, "drivers": [ "A02", "G01", "A01", "G03", "J01" ] }, { "handle": "mollyjongfast", "title": "Molly Jong-Fast", "category": "Celebrities and Influencers", "subcategory": "Authors", "similarity": 0.988, "drivers": [ "A02", "G01", "A01", "G03", "J01" ] }, { "handle": "sallyqyates", "title": "Sally Yates", "category": "Celebrities and Influencers", "subcategory": "Politicians", "similarity": 0.9872, "drivers": [ "A02", "G01", "A01", "G03", "J01" ] }, { "handle": "natashabertrand", "title": "Natasha Bertrand", "category": "Celebrities and Influencers", "subcategory": "Journalists", "similarity": 0.9867, "drivers": [ "A02", "G01", "A01", "G03", "J01" ] }, { "handle": "costareports", "title": "Robert Costa", "category": "Celebrities and Influencers", "subcategory": "Journalists", "similarity": 0.9854, "drivers": [ "A02", "G01", "A01", "G03", "J01" ] }, { "handle": "philiprucker", "title": "Philip Rucker", "category": "Celebrities and Influencers", "subcategory": "Journalists", "similarity": 0.9841, "drivers": [ "A02", "G01", "A01", "G03", "J01" ] }, { "handle": "peterbakernyt", "title": "Peter Baker", "category": "Celebrities and Influencers", "subcategory": "Journalists", "similarity": 0.9841, "drivers": [ "A02", "G01", "A01", "G03", "J01" ] }, { "handle": "fahrenthold", "title": "David Fahrenthold", "category": "Celebrities and Influencers", "subcategory": "Journalists", "similarity": 0.9834, "drivers": [ "A02", "G01", "G03", "A01", "J01" ] }, { "handle": "normeisen", "title": "Norm Eisen", "category": "Celebrities and Influencers", "subcategory": "Government Officials", "similarity": 0.9834, "drivers": [ "A02", "G01", "A01", "G03", "J01" ] } ] }
Full Attention graph /similarity /affinity /demographics available with  API key: