{
  "generatedAt": "2026-07-17",
  "panel": {
    "unit": "retrospective episode-year mention",
    "rows": 61,
    "distinctGuests": 58,
    "years": [
      2019,
      2020,
      2021,
      2022,
      2023,
      2024,
      2025
    ],
    "selection": "The annual retrospectives select notable episodes. This is not the full CWT episode universe."
  },
  "outcomes": [
    {
      "key": "acquisition",
      "label": "Acquisition",
      "definition": "Mentioned in a retrospective top-download list.",
      "events": 22,
      "rate": 36
    },
    {
      "key": "affection",
      "label": "Audience affection",
      "definition": "Retrospective contains a direct listener-favorite, retention, or repeated-listener signal.",
      "events": 24,
      "rate": 39
    },
    {
      "key": "tyler",
      "label": "Strong Tyler pick",
      "definition": "Tyler-enjoyment proxy equals 3, the strongest retrospective praise code.",
      "events": 24,
      "rate": 39
    }
  ],
  "estimation": {
    "estimator": "unadjusted difference in descriptive outcome rates, feature present minus feature absent",
    "uncertainty": "5,000 deterministic nonparametric bootstrap resamples, 80% percentile interval, seed 20260717",
    "suppression": "Intervals are withheld when either feature group has fewer than four rows.",
    "limitation": "Features and outcomes are hand-coded from the same retrospective documents. Estimates are descriptive enrichments in a selected sample, not causal effects, predictive model coefficients, or podcast-wide rates."
  },
  "dimensions": [
    {
      "key": "guest_fame",
      "group": "Guest and distribution",
      "label": "Guest fame",
      "definition": "Guest is coded high-fame in the retrospective.",
      "state": "coded",
      "excludedOutcomes": [],
      "support": {
        "present": 21,
        "absent": 40
      },
      "sparse": false,
      "effects": {
        "acquisition": {
          "presentRate": 90,
          "absentRate": 8,
          "differencePp": 82,
          "interval80": [
            73,
            93
          ]
        },
        "affection": {
          "presentRate": 5,
          "absentRate": 57,
          "differencePp": -52,
          "interval80": [
            -65,
            -40
          ]
        },
        "tyler": {
          "presentRate": 14,
          "absentRate": 53,
          "differencePp": -39,
          "interval80": [
            -53,
            -24
          ]
        }
      }
    },
    {
      "key": "repeat_guest",
      "group": "Guest and distribution",
      "label": "Repeat guest",
      "definition": "Guest had appeared on CWT before this episode-year.",
      "state": "coded",
      "excludedOutcomes": [],
      "support": {
        "present": 3,
        "absent": 58
      },
      "sparse": true,
      "effects": {
        "acquisition": {
          "presentRate": 100,
          "absentRate": 33,
          "differencePp": 67,
          "interval80": null
        },
        "affection": {
          "presentRate": 0,
          "absentRate": 41,
          "differencePp": -41,
          "interval80": null
        },
        "tyler": {
          "presentRate": 0,
          "absentRate": 41,
          "differencePp": -41,
          "interval80": null
        }
      }
    },
    {
      "key": "topic_AI",
      "group": "Topic",
      "label": "AI",
      "definition": "Primary subject includes artificial intelligence.",
      "state": "coded",
      "excludedOutcomes": [],
      "support": {
        "present": 4,
        "absent": 57
      },
      "sparse": false,
      "effects": {
        "acquisition": {
          "presentRate": 75,
          "absentRate": 33,
          "differencePp": 42,
          "interval80": [
            11,
            70
          ]
        },
        "affection": {
          "presentRate": 0,
          "absentRate": 42,
          "differencePp": -42,
          "interval80": [
            -51,
            -33
          ]
        },
        "tyler": {
          "presentRate": 0,
          "absentRate": 42,
          "differencePp": -42,
          "interval80": [
            -51,
            -33
          ]
        }
      }
    },
    {
      "key": "topic_politics",
      "group": "Topic",
      "label": "Politics / policy",
      "definition": "Primary subject includes politics, policy, intelligence, defense, race, or geopolitics.",
      "state": "coded",
      "excludedOutcomes": [],
      "support": {
        "present": 21,
        "absent": 40
      },
      "sparse": false,
      "effects": {
        "acquisition": {
          "presentRate": 52,
          "absentRate": 28,
          "differencePp": 24,
          "interval80": [
            8,
            42
          ]
        },
        "affection": {
          "presentRate": 29,
          "absentRate": 45,
          "differencePp": -16,
          "interval80": [
            -33,
            0
          ]
        },
        "tyler": {
          "presentRate": 38,
          "absentRate": 40,
          "differencePp": -2,
          "interval80": [
            -19,
            15
          ]
        }
      }
    },
    {
      "key": "topic_economics",
      "group": "Topic",
      "label": "Economics / finance",
      "definition": "Primary subject includes economics, finance, labor, or investing.",
      "state": "coded",
      "excludedOutcomes": [],
      "support": {
        "present": 8,
        "absent": 53
      },
      "sparse": false,
      "effects": {
        "acquisition": {
          "presentRate": 38,
          "absentRate": 36,
          "differencePp": 2,
          "interval80": [
            -23,
            25
          ]
        },
        "affection": {
          "presentRate": 38,
          "absentRate": 40,
          "differencePp": -2,
          "interval80": [
            -26,
            23
          ]
        },
        "tyler": {
          "presentRate": 50,
          "absentRate": 38,
          "differencePp": 12,
          "interval80": [
            -13,
            37
          ]
        }
      }
    },
    {
      "key": "topic_history",
      "group": "Topic",
      "label": "History",
      "definition": "Primary subject includes history, archaeology, or a historical geography.",
      "state": "coded",
      "excludedOutcomes": [],
      "support": {
        "present": 11,
        "absent": 50
      },
      "sparse": false,
      "effects": {
        "acquisition": {
          "presentRate": 9,
          "absentRate": 42,
          "differencePp": -33,
          "interval80": [
            -46,
            -18
          ]
        },
        "affection": {
          "presentRate": 64,
          "absentRate": 34,
          "differencePp": 30,
          "interval80": [
            8,
            51
          ]
        },
        "tyler": {
          "presentRate": 45,
          "absentRate": 38,
          "differencePp": 7,
          "interval80": [
            -15,
            29
          ]
        }
      }
    },
    {
      "key": "topic_science",
      "group": "Topic",
      "label": "Science / psychology",
      "definition": "Primary subject includes science, psychology, or statistics.",
      "state": "coded",
      "excludedOutcomes": [],
      "support": {
        "present": 9,
        "absent": 52
      },
      "sparse": false,
      "effects": {
        "acquisition": {
          "presentRate": 56,
          "absentRate": 33,
          "differencePp": 23,
          "interval80": [
            -1,
            46
          ]
        },
        "affection": {
          "presentRate": 22,
          "absentRate": 42,
          "differencePp": -20,
          "interval80": [
            -39,
            0
          ]
        },
        "tyler": {
          "presentRate": 22,
          "absentRate": 42,
          "differencePp": -20,
          "interval80": [
            -40,
            0
          ]
        }
      }
    },
    {
      "key": "topic_arts",
      "group": "Topic",
      "label": "Visual arts / poetry",
      "definition": "Primary subject includes visual art, painting, or poetry.",
      "state": "coded",
      "excludedOutcomes": [],
      "support": {
        "present": 2,
        "absent": 59
      },
      "sparse": true,
      "effects": {
        "acquisition": {
          "presentRate": 0,
          "absentRate": 37,
          "differencePp": -37,
          "interval80": null
        },
        "affection": {
          "presentRate": 0,
          "absentRate": 41,
          "differencePp": -41,
          "interval80": null
        },
        "tyler": {
          "presentRate": 0,
          "absentRate": 41,
          "differencePp": -41,
          "interval80": null
        }
      }
    },
    {
      "key": "topic_literature",
      "group": "Topic",
      "label": "Literature",
      "definition": "Primary subject includes literature, translation, or fiction.",
      "state": "coded",
      "excludedOutcomes": [],
      "support": {
        "present": 5,
        "absent": 56
      },
      "sparse": false,
      "effects": {
        "acquisition": {
          "presentRate": 0,
          "absentRate": 39,
          "differencePp": -39,
          "interval80": [
            -48,
            -32
          ]
        },
        "affection": {
          "presentRate": 80,
          "absentRate": 36,
          "differencePp": 44,
          "interval80": [
            19,
            68
          ]
        },
        "tyler": {
          "presentRate": 60,
          "absentRate": 38,
          "differencePp": 22,
          "interval80": [
            -6,
            51
          ]
        }
      }
    },
    {
      "key": "topic_music",
      "group": "Topic",
      "label": "Music",
      "definition": "Primary subject includes music, Bach, the Beatles, or classical music.",
      "state": "coded",
      "excludedOutcomes": [],
      "support": {
        "present": 5,
        "absent": 56
      },
      "sparse": false,
      "effects": {
        "acquisition": {
          "presentRate": 0,
          "absentRate": 39,
          "differencePp": -39,
          "interval80": [
            -48,
            -30
          ]
        },
        "affection": {
          "presentRate": 40,
          "absentRate": 39,
          "differencePp": 1,
          "interval80": [
            -28,
            30
          ]
        },
        "tyler": {
          "presentRate": 40,
          "absentRate": 39,
          "differencePp": 1,
          "interval80": [
            -26,
            30
          ]
        }
      }
    },
    {
      "key": "topic_religion",
      "group": "Topic",
      "label": "Religion",
      "definition": "Primary subject includes religion or Buddhism.",
      "state": "coded",
      "excludedOutcomes": [],
      "support": {
        "present": 1,
        "absent": 60
      },
      "sparse": true,
      "effects": {
        "acquisition": {
          "presentRate": 0,
          "absentRate": 37,
          "differencePp": -37,
          "interval80": null
        },
        "affection": {
          "presentRate": 100,
          "absentRate": 38,
          "differencePp": 62,
          "interval80": null
        },
        "tyler": {
          "presentRate": 100,
          "absentRate": 38,
          "differencePp": 62,
          "interval80": null
        }
      }
    },
    {
      "key": "topic_sports",
      "group": "Topic",
      "label": "Sports / competition",
      "definition": "Primary subject includes sports, chess, ultramarathon, or competition.",
      "state": "coded",
      "excludedOutcomes": [],
      "support": {
        "present": 3,
        "absent": 58
      },
      "sparse": true,
      "effects": {
        "acquisition": {
          "presentRate": 0,
          "absentRate": 38,
          "differencePp": -38,
          "interval80": null
        },
        "affection": {
          "presentRate": 67,
          "absentRate": 38,
          "differencePp": 29,
          "interval80": null
        },
        "tyler": {
          "presentRate": 67,
          "absentRate": 38,
          "differencePp": 29,
          "interval80": null
        }
      }
    },
    {
      "key": "topic_technology",
      "group": "Topic",
      "label": "Technology",
      "definition": "Primary subject includes technology, AI, YouTube, or aviation.",
      "state": "coded",
      "excludedOutcomes": [],
      "support": {
        "present": 12,
        "absent": 49
      },
      "sparse": false,
      "effects": {
        "acquisition": {
          "presentRate": 67,
          "absentRate": 29,
          "differencePp": 38,
          "interval80": [
            19,
            57
          ]
        },
        "affection": {
          "presentRate": 17,
          "absentRate": 45,
          "differencePp": -28,
          "interval80": [
            -45,
            -12
          ]
        },
        "tyler": {
          "presentRate": 25,
          "absentRate": 43,
          "differencePp": -18,
          "interval80": [
            -36,
            1
          ]
        }
      }
    },
    {
      "key": "topic_geography",
      "group": "Topic",
      "label": "Geography",
      "definition": "Primary subject includes a named region or country.",
      "state": "coded",
      "excludedOutcomes": [],
      "support": {
        "present": 5,
        "absent": 56
      },
      "sparse": false,
      "effects": {
        "acquisition": {
          "presentRate": 20,
          "absentRate": 38,
          "differencePp": -18,
          "interval80": [
            -41,
            8
          ]
        },
        "affection": {
          "presentRate": 100,
          "absentRate": 34,
          "differencePp": 66,
          "interval80": [
            57,
            73
          ]
        },
        "tyler": {
          "presentRate": 60,
          "absentRate": 38,
          "differencePp": 22,
          "interval80": [
            -6,
            51
          ]
        }
      }
    },
    {
      "key": "single_subject",
      "group": "Conversation design",
      "label": "Single subject",
      "definition": "The episode has one explicit intellectual object or question.",
      "state": "coded",
      "excludedOutcomes": [],
      "support": {
        "present": 2,
        "absent": 59
      },
      "sparse": true,
      "effects": {
        "acquisition": {
          "presentRate": 50,
          "absentRate": 36,
          "differencePp": 14,
          "interval80": null
        },
        "affection": {
          "presentRate": 100,
          "absentRate": 37,
          "differencePp": 63,
          "interval80": null
        },
        "tyler": {
          "presentRate": 100,
          "absentRate": 37,
          "differencePp": 63,
          "interval80": null
        }
      }
    },
    {
      "key": "debate_pushback",
      "group": "Conversation design",
      "label": "Debate / pushback",
      "definition": "Retrospective tags show serious disagreement or a combative exchange.",
      "state": "coded",
      "excludedOutcomes": [],
      "support": {
        "present": 6,
        "absent": 55
      },
      "sparse": false,
      "effects": {
        "acquisition": {
          "presentRate": 50,
          "absentRate": 35,
          "differencePp": 15,
          "interval80": [
            -12,
            43
          ]
        },
        "affection": {
          "presentRate": 50,
          "absentRate": 38,
          "differencePp": 12,
          "interval80": [
            -16,
            40
          ]
        },
        "tyler": {
          "presentRate": 67,
          "absentRate": 36,
          "differencePp": 31,
          "interval80": [
            3,
            56
          ]
        }
      }
    },
    {
      "key": "controversy",
      "group": "Conversation design",
      "label": "Controversy",
      "definition": "The episode was described as controversial or polarizing.",
      "state": "coded",
      "excludedOutcomes": [],
      "support": {
        "present": 0,
        "absent": 61
      },
      "sparse": true,
      "effects": {
        "acquisition": {
          "presentRate": null,
          "absentRate": 36,
          "differencePp": null,
          "interval80": null
        },
        "affection": {
          "presentRate": null,
          "absentRate": 39,
          "differencePp": null,
          "interval80": null
        },
        "tyler": {
          "presentRate": null,
          "absentRate": 39,
          "differencePp": null,
          "interval80": null
        }
      }
    },
    {
      "key": "authenticity",
      "group": "Human texture",
      "label": "Authenticity",
      "definition": "The retrospective describes unguarded, unpolished, or non-performative answers.",
      "state": "coded",
      "excludedOutcomes": [],
      "support": {
        "present": 9,
        "absent": 52
      },
      "sparse": false,
      "effects": {
        "acquisition": {
          "presentRate": 11,
          "absentRate": 40,
          "differencePp": -29,
          "interval80": [
            -44,
            -12
          ]
        },
        "affection": {
          "presentRate": 89,
          "absentRate": 31,
          "differencePp": 58,
          "interval80": [
            42,
            73
          ]
        },
        "tyler": {
          "presentRate": 89,
          "absentRate": 31,
          "differencePp": 58,
          "interval80": [
            41,
            73
          ]
        }
      }
    },
    {
      "key": "emotional_disclosure",
      "group": "Human texture",
      "label": "Emotional disclosure",
      "definition": "The retrospective records personally consequential disclosure.",
      "state": "coded",
      "excludedOutcomes": [],
      "support": {
        "present": 1,
        "absent": 60
      },
      "sparse": true,
      "effects": {
        "acquisition": {
          "presentRate": 0,
          "absentRate": 37,
          "differencePp": -37,
          "interval80": null
        },
        "affection": {
          "presentRate": 100,
          "absentRate": 38,
          "differencePp": 62,
          "interval80": null
        },
        "tyler": {
          "presentRate": 100,
          "absentRate": 38,
          "differencePp": 62,
          "interval80": null
        }
      }
    },
    {
      "key": "humor",
      "group": "Human texture",
      "label": "Humor",
      "definition": "The retrospective records humor as a meaningful feature.",
      "state": "coded",
      "excludedOutcomes": [],
      "support": {
        "present": 0,
        "absent": 61
      },
      "sparse": true,
      "effects": {
        "acquisition": {
          "presentRate": null,
          "absentRate": 36,
          "differencePp": null,
          "interval80": null
        },
        "affection": {
          "presentRate": null,
          "absentRate": 39,
          "differencePp": null,
          "interval80": null
        },
        "tyler": {
          "presentRate": null,
          "absentRate": 39,
          "differencePp": null,
          "interval80": null
        }
      }
    },
    {
      "key": "novelty",
      "group": "Human texture",
      "label": "Novelty",
      "definition": "The retrospective signals a surprising premise, person, or subject.",
      "state": "coded",
      "excludedOutcomes": [],
      "support": {
        "present": 3,
        "absent": 58
      },
      "sparse": true,
      "effects": {
        "acquisition": {
          "presentRate": 33,
          "absentRate": 36,
          "differencePp": -3,
          "interval80": null
        },
        "affection": {
          "presentRate": 33,
          "absentRate": 40,
          "differencePp": -7,
          "interval80": null
        },
        "tyler": {
          "presentRate": 67,
          "absentRate": 38,
          "differencePp": 29,
          "interval80": null
        }
      }
    },
    {
      "key": "practical_utility",
      "group": "Conversation design",
      "label": "Practical utility",
      "definition": "The retrospective tags a concrete, usable implication.",
      "state": "coded",
      "excludedOutcomes": [],
      "support": {
        "present": 3,
        "absent": 58
      },
      "sparse": true,
      "effects": {
        "acquisition": {
          "presentRate": 67,
          "absentRate": 34,
          "differencePp": 33,
          "interval80": null
        },
        "affection": {
          "presentRate": 0,
          "absentRate": 41,
          "differencePp": -41,
          "interval80": null
        },
        "tyler": {
          "presentRate": 33,
          "absentRate": 40,
          "differencePp": -7,
          "interval80": null
        }
      }
    },
    {
      "key": "expertise_depth",
      "group": "Conversation design",
      "label": "Expertise depth",
      "definition": "The guest is tagged for specialist knowledge or a singular subject.",
      "state": "coded",
      "excludedOutcomes": [],
      "support": {
        "present": 19,
        "absent": 42
      },
      "sparse": false,
      "effects": {
        "acquisition": {
          "presentRate": 11,
          "absentRate": 48,
          "differencePp": -37,
          "interval80": [
            -50,
            -24
          ]
        },
        "affection": {
          "presentRate": 58,
          "absentRate": 31,
          "differencePp": 27,
          "interval80": [
            9,
            44
          ]
        },
        "tyler": {
          "presentRate": 37,
          "absentRate": 40,
          "differencePp": -3,
          "interval80": [
            -20,
            14
          ]
        }
      }
    },
    {
      "key": "obscurity",
      "group": "Guest and distribution",
      "label": "Obscurity",
      "definition": "The retrospective frames the guest as underrated or outside the obvious fame pool.",
      "state": "coded",
      "excludedOutcomes": [],
      "support": {
        "present": 22,
        "absent": 39
      },
      "sparse": false,
      "effects": {
        "acquisition": {
          "presentRate": 5,
          "absentRate": 54,
          "differencePp": -49,
          "interval80": [
            -62,
            -37
          ]
        },
        "affection": {
          "presentRate": 68,
          "absentRate": 23,
          "differencePp": 45,
          "interval80": [
            30,
            60
          ]
        },
        "tyler": {
          "presentRate": 50,
          "absentRate": 33,
          "differencePp": 17,
          "interval80": [
            0,
            34
          ]
        }
      }
    },
    {
      "key": "institutional_access",
      "group": "Guest and distribution",
      "label": "Institutional access",
      "definition": "The guest offers unusual access to an institution or state actor.",
      "state": "coded",
      "excludedOutcomes": [],
      "support": {
        "present": 6,
        "absent": 55
      },
      "sparse": false,
      "effects": {
        "acquisition": {
          "presentRate": 50,
          "absentRate": 35,
          "differencePp": 15,
          "interval80": [
            -12,
            42
          ]
        },
        "affection": {
          "presentRate": 0,
          "absentRate": 44,
          "differencePp": -44,
          "interval80": [
            -53,
            -35
          ]
        },
        "tyler": {
          "presentRate": 17,
          "absentRate": 42,
          "differencePp": -25,
          "interval80": [
            -45,
            -3
          ]
        }
      }
    },
    {
      "key": "female_guest",
      "group": "Guest and distribution",
      "label": "Female guest",
      "definition": "Guest gender, hand-coded only for descriptive balance checks.",
      "state": "coded",
      "excludedOutcomes": [],
      "support": {
        "present": 8,
        "absent": 53
      },
      "sparse": false,
      "effects": {
        "acquisition": {
          "presentRate": 25,
          "absentRate": 38,
          "differencePp": -13,
          "interval80": [
            -34,
            9
          ]
        },
        "affection": {
          "presentRate": 38,
          "absentRate": 40,
          "differencePp": -2,
          "interval80": [
            -26,
            21
          ]
        },
        "tyler": {
          "presentRate": 38,
          "absentRate": 40,
          "differencePp": -2,
          "interval80": [
            -25,
            22
          ]
        }
      }
    },
    {
      "key": "accent_or_audio_friction",
      "group": "Production",
      "label": "Accent / audio friction",
      "definition": "The retrospective calls out accent comprehension or rough audio.",
      "state": "coded",
      "excludedOutcomes": [],
      "support": {
        "present": 2,
        "absent": 59
      },
      "sparse": true,
      "effects": {
        "acquisition": {
          "presentRate": 50,
          "absentRate": 36,
          "differencePp": 14,
          "interval80": null
        },
        "affection": {
          "presentRate": 100,
          "absentRate": 37,
          "differencePp": 63,
          "interval80": null
        },
        "tyler": {
          "presentRate": 100,
          "absentRate": 37,
          "differencePp": 63,
          "interval80": null
        }
      }
    },
    {
      "key": "rapport",
      "group": "Human texture",
      "label": "Rapport",
      "definition": "The retrospective identifies host-guest rapport as salient.",
      "state": "coded",
      "excludedOutcomes": [],
      "support": {
        "present": 3,
        "absent": 58
      },
      "sparse": true,
      "effects": {
        "acquisition": {
          "presentRate": 0,
          "absentRate": 38,
          "differencePp": -38,
          "interval80": null
        },
        "affection": {
          "presentRate": 67,
          "absentRate": 38,
          "differencePp": 29,
          "interval80": null
        },
        "tyler": {
          "presentRate": 100,
          "absentRate": 36,
          "differencePp": 64,
          "interval80": null
        }
      }
    },
    {
      "key": "host_enthusiasm",
      "group": "Human texture",
      "label": "Host enthusiasm",
      "definition": "Tyler's retrospective language scores the exchange as a strong personal success.",
      "state": "coded",
      "excludedOutcomes": [
        "tyler"
      ],
      "support": {
        "present": 26,
        "absent": 35
      },
      "sparse": false,
      "effects": {
        "acquisition": {
          "presentRate": 15,
          "absentRate": 51,
          "differencePp": -36,
          "interval80": [
            -50,
            -22
          ]
        },
        "affection": {
          "presentRate": 77,
          "absentRate": 11,
          "differencePp": 66,
          "interval80": [
            53,
            78
          ]
        },
        "tyler": {
          "notApplicable": true
        }
      }
    },
    {
      "key": "prep_intensity",
      "group": "Conversation design",
      "label": "Preparation intensity",
      "definition": "Requires episode transcript and prep materials, not coded in this panel.",
      "state": "not_observed",
      "excludedOutcomes": []
    },
    {
      "key": "narrative_arc",
      "group": "Conversation design",
      "label": "Narrative arc",
      "definition": "Requires full transcript or listening notes, not coded in this panel.",
      "state": "not_observed",
      "excludedOutcomes": []
    },
    {
      "key": "unexpected_ending",
      "group": "Conversation design",
      "label": "Unexpected ending",
      "definition": "The retrospective identifies a closing turn that readers or listeners repeat.",
      "state": "coded",
      "excludedOutcomes": [],
      "support": {
        "present": 1,
        "absent": 60
      },
      "sparse": true,
      "effects": {
        "acquisition": {
          "presentRate": 0,
          "absentRate": 37,
          "differencePp": -37,
          "interval80": null
        },
        "affection": {
          "presentRate": 100,
          "absentRate": 38,
          "differencePp": 62,
          "interval80": null
        },
        "tyler": {
          "presentRate": 100,
          "absentRate": 38,
          "differencePp": 62,
          "interval80": null
        }
      }
    },
    {
      "key": "fast_answers",
      "group": "Conversation design",
      "label": "Fast answers",
      "definition": "The retrospective describes unusually quick, concrete answers.",
      "state": "coded",
      "excludedOutcomes": [],
      "support": {
        "present": 3,
        "absent": 58
      },
      "sparse": true,
      "effects": {
        "acquisition": {
          "presentRate": 0,
          "absentRate": 38,
          "differencePp": -38,
          "interval80": null
        },
        "affection": {
          "presentRate": 100,
          "absentRate": 36,
          "differencePp": 64,
          "interval80": null
        },
        "tyler": {
          "presentRate": 100,
          "absentRate": 36,
          "differencePp": 64,
          "interval80": null
        }
      }
    },
    {
      "key": "long_runtime",
      "group": "Production",
      "label": "Long runtime",
      "definition": "The episode is tagged long relative to the CWT format.",
      "state": "coded",
      "excludedOutcomes": [],
      "support": {
        "present": 1,
        "absent": 60
      },
      "sparse": true,
      "effects": {
        "acquisition": {
          "presentRate": 0,
          "absentRate": 37,
          "differencePp": -37,
          "interval80": null
        },
        "affection": {
          "presentRate": 100,
          "absentRate": 38,
          "differencePp": 62,
          "interval80": null
        },
        "tyler": {
          "presentRate": 100,
          "absentRate": 38,
          "differencePp": 62,
          "interval80": null
        }
      }
    },
    {
      "key": "live_or_panel",
      "group": "Production",
      "label": "Live / panel format",
      "definition": "The episode was recorded live or as a panel.",
      "state": "coded",
      "excludedOutcomes": [],
      "support": {
        "present": 1,
        "absent": 60
      },
      "sparse": true,
      "effects": {
        "acquisition": {
          "presentRate": 100,
          "absentRate": 35,
          "differencePp": 65,
          "interval80": null
        },
        "affection": {
          "presentRate": 0,
          "absentRate": 40,
          "differencePp": -40,
          "interval80": null
        },
        "tyler": {
          "presentRate": 0,
          "absentRate": 40,
          "differencePp": -40,
          "interval80": null
        }
      }
    },
    {
      "key": "social_media_reach",
      "group": "Guest and distribution",
      "label": "Social distribution",
      "definition": "Retrospective tags document a notable social or YouTube distribution channel.",
      "state": "coded",
      "excludedOutcomes": [],
      "support": {
        "present": 2,
        "absent": 59
      },
      "sparse": true,
      "effects": {
        "acquisition": {
          "presentRate": 50,
          "absentRate": 36,
          "differencePp": 14,
          "interval80": null
        },
        "affection": {
          "presentRate": 50,
          "absentRate": 39,
          "differencePp": 11,
          "interval80": null
        },
        "tyler": {
          "presentRate": 50,
          "absentRate": 39,
          "differencePp": 11,
          "interval80": null
        }
      }
    },
    {
      "key": "production_quality",
      "group": "Production",
      "label": "Production quality",
      "definition": "The retrospective flags a material audio-quality issue or its absence.",
      "state": "coded",
      "excludedOutcomes": [],
      "support": {
        "present": 60,
        "absent": 1
      },
      "sparse": true,
      "effects": {
        "acquisition": {
          "presentRate": 35,
          "absentRate": 100,
          "differencePp": -65,
          "interval80": null
        },
        "affection": {
          "presentRate": 38,
          "absentRate": 100,
          "differencePp": -62,
          "interval80": null
        },
        "tyler": {
          "presentRate": 38,
          "absentRate": 100,
          "differencePp": -62,
          "interval80": null
        }
      }
    },
    {
      "key": "question_density",
      "group": "Transcript measurement",
      "label": "Question density",
      "definition": "Tyler questions per 1,000 transcript words.",
      "state": "not_observed",
      "excludedOutcomes": []
    },
    {
      "key": "follow_up_density",
      "group": "Transcript measurement",
      "label": "Follow-up density",
      "definition": "Follow-up questions per 1,000 Tyler words.",
      "state": "not_observed",
      "excludedOutcomes": []
    },
    {
      "key": "why_question_rate",
      "group": "Transcript measurement",
      "label": "Why-question rate",
      "definition": "Share of Tyler questions beginning with or functioning as why questions.",
      "state": "not_observed",
      "excludedOutcomes": []
    },
    {
      "key": "what_do_you_really_think_rate",
      "group": "Transcript measurement",
      "label": "Pressure-question rate",
      "definition": "Rate of direct belief-probing questions, including “what do you really think?”.",
      "state": "not_observed",
      "excludedOutcomes": []
    },
    {
      "key": "production_function_phrase",
      "group": "Transcript measurement",
      "label": "Production-function prompts",
      "definition": "Count of prompts that ask how an outcome is produced.",
      "state": "not_observed",
      "excludedOutcomes": []
    },
    {
      "key": "first_person_rate",
      "group": "Transcript measurement",
      "label": "First-person rate",
      "definition": "First-person pronouns per 1,000 speaker words.",
      "state": "not_observed",
      "excludedOutcomes": []
    },
    {
      "key": "hedging_rate",
      "group": "Transcript measurement",
      "label": "Hedge rate",
      "definition": "Hedges per 1,000 speaker words.",
      "state": "not_observed",
      "excludedOutcomes": []
    },
    {
      "key": "certainty_rate",
      "group": "Transcript measurement",
      "label": "Certainty rate",
      "definition": "High-certainty terms per 1,000 speaker words.",
      "state": "not_observed",
      "excludedOutcomes": []
    },
    {
      "key": "counterfactual_rate",
      "group": "Transcript measurement",
      "label": "Counterfactual rate",
      "definition": "Counterfactual constructions per 1,000 speaker words.",
      "state": "not_observed",
      "excludedOutcomes": []
    },
    {
      "key": "numbers_rate",
      "group": "Transcript measurement",
      "label": "Numbers rate",
      "definition": "Numbers per 1,000 speaker words.",
      "state": "not_observed",
      "excludedOutcomes": []
    },
    {
      "key": "proper_noun_density",
      "group": "Transcript measurement",
      "label": "Proper-noun density",
      "definition": "Named entities per 1,000 speaker words.",
      "state": "not_observed",
      "excludedOutcomes": []
    },
    {
      "key": "named_example_rate",
      "group": "Transcript measurement",
      "label": "Named-example rate",
      "definition": "Concrete named examples per 1,000 speaker words.",
      "state": "not_observed",
      "excludedOutcomes": []
    },
    {
      "key": "technical_jargon_rate",
      "group": "Transcript measurement",
      "label": "Technical-jargon rate",
      "definition": "Domain terms per 1,000 speaker words.",
      "state": "not_observed",
      "excludedOutcomes": []
    },
    {
      "key": "plain_language_rate",
      "group": "Transcript measurement",
      "label": "Plain-language rate",
      "definition": "Share of words below a pre-registered reading-complexity threshold.",
      "state": "not_observed",
      "excludedOutcomes": []
    },
    {
      "key": "metaphor_rate",
      "group": "Transcript measurement",
      "label": "Metaphor rate",
      "definition": "Hand-checked metaphoric constructions per 1,000 speaker words.",
      "state": "not_observed",
      "excludedOutcomes": []
    },
    {
      "key": "analogy_rate",
      "group": "Transcript measurement",
      "label": "Analogy rate",
      "definition": "Explicit analogies per 1,000 speaker words.",
      "state": "not_observed",
      "excludedOutcomes": []
    },
    {
      "key": "negative_polarity",
      "group": "Transcript measurement",
      "label": "Negative polarity",
      "definition": "Negative-sentiment terms per 1,000 speaker words.",
      "state": "not_observed",
      "excludedOutcomes": []
    },
    {
      "key": "positive_polarity",
      "group": "Transcript measurement",
      "label": "Positive polarity",
      "definition": "Positive-sentiment terms per 1,000 speaker words.",
      "state": "not_observed",
      "excludedOutcomes": []
    },
    {
      "key": "surprise_markers",
      "group": "Transcript measurement",
      "label": "Surprise markers",
      "definition": "Surprise expressions per 1,000 speaker words.",
      "state": "not_observed",
      "excludedOutcomes": []
    },
    {
      "key": "laughter_markers",
      "group": "Transcript measurement",
      "label": "Laughter markers",
      "definition": "Transcript laughter markers per 1,000 speaker words.",
      "state": "not_observed",
      "excludedOutcomes": []
    },
    {
      "key": "interruption_rate",
      "group": "Transcript measurement",
      "label": "Interruption rate",
      "definition": "Overlaps or interruptions per hour from speaker diarization.",
      "state": "not_observed",
      "excludedOutcomes": []
    },
    {
      "key": "short_answer_rate",
      "group": "Transcript measurement",
      "label": "Short-answer rate",
      "definition": "Guest answers under a pre-registered word threshold.",
      "state": "not_observed",
      "excludedOutcomes": []
    },
    {
      "key": "long_sentence_rate",
      "group": "Transcript measurement",
      "label": "Long-sentence rate",
      "definition": "Sentences above a pre-registered word threshold.",
      "state": "not_observed",
      "excludedOutcomes": []
    },
    {
      "key": "food_travel_aside_rate",
      "group": "Transcript measurement",
      "label": "Food / travel asides",
      "definition": "Food or travel digressions per hour.",
      "state": "not_observed",
      "excludedOutcomes": []
    },
    {
      "key": "guest_specific_lexicon",
      "group": "Transcript measurement",
      "label": "Guest-specific lexicon",
      "definition": "Distinctive vocabulary after matching on topic and guest background.",
      "state": "not_observed",
      "excludedOutcomes": []
    }
  ]
}