Scored entertainment-first on WhatSphere's content-balance model 5
Its showrunner stated on the record that "the idea was to center a show that is about catching bad guys, but with a bad guy at the center of it, When Megan came in it was one of those auditions where,…" 1. Its actor stated on the record that "i really, really do enjoy playing such a strong female character, You don't get a lot of those parts, especially on TV, for women" 2. Its actor stated on the record that "don't slip on representing the female characters in media proportionately to their contributions, We will talk about it, A woman's got to have principles, I am…" 3. Its narrative-universality assessment registers 8 of 10 4. Taken together, the content-balance model places it entertainment-first at 15 of 100 5. Relative to the expected cast make-up for its production origin, on-screen representation registers below the baseline for Hispanic 6.
- 1Creator statementshowrunner: "The idea was to center a show that is about catching bad guys, but with a bad guy at the center of it. When Megan came in it was one of those auditions where, right away, we were like, 'There is some…"Collider, 2013 source ↗
- 2Creator statementactor: "I really, really do enjoy playing such a strong female character. You don't get a lot of those parts, especially on TV, for women."TV Goodness Q&A, January 2014 source ↗
- 3Creator statementactor: "Don't slip on representing the female characters in media proportionately to their contributions. We will talk about it. A woman's got to have principles. I am not shading the brilliant STAR of my sh…"Twitter / Refinery29, June 2017 source ↗
- 4Narrative universalityNarrative universality 8 of 10; identity centrality incidental.WhatSphere content assessment. Narrative universality 8/10 -> advocacy signal 22
- 5Content balanceAdvocacy 15 of 100, tier entertainment-first.WhatSphere content-balance model, score_version 1. Narrative universality 8/10 -> advocacy signal 22
- 6RepresentationRepresentation vs production-origin baseline: Hispanic 33.WhatSphere representation model, score_version 1
WhatSphere presents the sourced record; it does not cast the judgement. Every statement above is drawn from a stored, sourced row — shown beside it — and nothing is asserted beyond what those receipts support.
Age: 58 — leans mature
Quadrant Scores
Audience Representation
Faithfulness
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Advocacy
Synopsis
Raymond "Red" Reddington, one of the FBI's most wanted fugitives, surrenders in person at FBI Headquarters in Washington, D.C. He claims that he and the FBI have the same interests: bringing down dangerous criminals and terrorists. In the last two decades, he's made a list of criminals and terrorists that matter the most but the FBI cannot find because it does not know they exist. Reddington calls this "The Blacklist". Reddington will co-operate, but insists that he will speak only to Elizabeth Keen, a rookie FBI profiler.
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