{
  "experiment": "EXP-078_temporal_consistency_kill_test",
  "method": "Cross-generation numerical claim variance",
  "data_source": "fpr_estimation_docs.json",
  "n_topics_3ver": 20,
  "n_topics_2ver": 5,
  "generator": "gemini-3.1-flash-lite-preview",
  "standard_results": {
    "api_design_STANDARD": {
      "percentage_stability": {},
      "stable_percentages": [],
      "variable_percentages": [],
      "n_pct_stable": 0,
      "n_pct_variable": 0,
      "n_pct_total": 0,
      "fabrication_rate_pct": null,
      "dollar_stable": [],
      "dollar_variable": [],
      "n_dollar_stable": 0,
      "n_dollar_variable": 0,
      "all_numbers_stable": 0,
      "all_numbers_variable": 0,
      "all_numbers_total": 0,
      "all_numbers_fab_rate": null,
      "heading_jaccard": 0.0,
      "n_shared_headings": 0,
      "n_total_headings": 22,
      "shared_heading_texts": [],
      "numerical_counts": [
        0,
        0,
        0
      ],
      "causal_counts": [
        8,
        6,
        7
      ],
      "numerical_count_cv": 0.0,
      "causal_count_cv": 0.117,
      "examples": {
        "stable": [],
        "variable": []
      }
    },
    "business_strategy_STANDARD": {
      "percentage_stability": {
        "80.0": 1
      },
      "stable_percentages": [],
      "variable_percentages": [
        80.0
      ],
      "n_pct_stable": 0,
      "n_pct_variable": 1,
      "n_pct_total": 1,
      "fabrication_rate_pct": 1.0,
      "dollar_stable": [
        10.0
      ],
      "dollar_variable": [
        0.0,
        15.0,
        30.0,
        100.0,
        500.0
      ],
      "n_dollar_stable": 1,
      "n_dollar_variable": 5,
      "all_numbers_stable": 1,
      "all_numbers_variable": 7,
      "all_numbers_total": 8,
      "all_numbers_fab_rate": 0.875,
      "heading_jaccard": 0.0,
      "n_shared_headings": 0,
      "n_total_headings": 17,
      "shared_heading_texts": [],
      "numerical_counts": [
        7,
        6,
        7
      ],
      "causal_counts": [
        11,
        9,
        9
      ],
      "numerical_count_cv": 0.071,
      "causal_count_cv": 0.098,
      "examples": {
        "stable": [],
        "variable": [
          {
            "value": "80.0%",
            "in_versions": [
              1
            ],
            "contexts": [
              {
                "version": 1,
                "sentence": "Without this, the sales team spends 80% of their time on deals that are doomed to churn, resulting in high burn rates and low Net Revenue Retention (NRR).",
                "heading": "The \"Revenue Mirage\" of Marketing-Sales Misalignment"
              }
            ]
          }
        ]
      }
    },
    "clinical_trial_design_STANDARD": {
      "percentage_stability": {},
      "stable_percentages": [],
      "variable_percentages": [],
      "n_pct_stable": 0,
      "n_pct_variable": 0,
      "n_pct_total": 0,
      "fabrication_rate_pct": null,
      "dollar_stable": [],
      "dollar_variable": [],
      "n_dollar_stable": 0,
      "n_dollar_variable": 0,
      "all_numbers_stable": 0,
      "all_numbers_variable": 0,
      "all_numbers_total": 0,
      "all_numbers_fab_rate": null,
      "heading_jaccard": 0.0,
      "n_shared_headings": 0,
      "n_total_headings": 18,
      "shared_heading_texts": [],
      "numerical_counts": [
        0,
        0,
        0
      ],
      "causal_counts": [
        10,
        3,
        6
      ],
      "numerical_count_cv": 0.0,
      "causal_count_cv": 0.453,
      "examples": {
        "stable": [],
        "variable": []
      }
    },
    "data_governance_STANDARD": {
      "percentage_stability": {
        "99.0": 1
      },
      "stable_percentages": [],
      "variable_percentages": [
        99.0
      ],
      "n_pct_stable": 0,
      "n_pct_variable": 1,
      "n_pct_total": 1,
      "fabrication_rate_pct": 1.0,
      "dollar_stable": [],
      "dollar_variable": [],
      "n_dollar_stable": 0,
      "n_dollar_variable": 0,
      "all_numbers_stable": 0,
      "all_numbers_variable": 1,
      "all_numbers_total": 1,
      "all_numbers_fab_rate": 1.0,
      "heading_jaccard": 0.0,
      "n_shared_headings": 0,
      "n_total_headings": 18,
      "shared_heading_texts": [],
      "numerical_counts": [
        1,
        0,
        0
      ],
      "causal_counts": [
        13,
        12,
        8
      ],
      "numerical_count_cv": 1.414,
      "causal_count_cv": 0.196,
      "examples": {
        "stable": [],
        "variable": [
          {
            "value": "99.0%",
            "in_versions": [
              0
            ],
            "contexts": [
              {
                "version": 0,
                "sentence": "Executive support fails because it creates a \"reporting theater.\" Teams feel pressured to produce dashboards showing \"99% data health\" based on superficial metrics (like null-value counts) that do not reflect the reality of downstream utility.",
                "heading": "The Illusion of Governance: Why Executive Support Often Accelerates Failure"
              }
            ]
          }
        ]
      }
    },
    "hiring_plan_STANDARD": {
      "percentage_stability": {
        "60.0": 1,
        "70.0": 1
      },
      "stable_percentages": [],
      "variable_percentages": [
        60.0,
        70.0
      ],
      "n_pct_stable": 0,
      "n_pct_variable": 2,
      "n_pct_total": 2,
      "fabrication_rate_pct": 1.0,
      "dollar_stable": [],
      "dollar_variable": [],
      "n_dollar_stable": 0,
      "n_dollar_variable": 0,
      "all_numbers_stable": 1,
      "all_numbers_variable": 5,
      "all_numbers_total": 6,
      "all_numbers_fab_rate": 0.8333333333333334,
      "heading_jaccard": 0.0,
      "n_shared_headings": 0,
      "n_total_headings": 22,
      "shared_heading_texts": [],
      "numerical_counts": [
        4,
        4,
        2
      ],
      "causal_counts": [
        10,
        7,
        8
      ],
      "numerical_count_cv": 0.283,
      "causal_count_cv": 0.15,
      "examples": {
        "stable": [],
        "variable": [
          {
            "value": "60.0%",
            "in_versions": [
              0
            ],
            "contexts": [
              {
                "version": 0,
                "sentence": "The \"administrative tax\"\u2014the time spent in sync meetings, clarifying ownership, and resolving merge conflicts caused by lack of context\u2014consumes 60% of the engineering day.",
                "heading": "The Shift from Ambient Awareness to Administrative Tax"
              }
            ]
          },
          {
            "value": "70.0%",
            "in_versions": [
              1
            ],
            "contexts": [
              {
                "version": 1,
                "sentence": "Because the organization grew too fast to document its tribal knowledge, engineers spend 70% of their time seeking context rather than committing code.",
                "heading": "The Dunbar Wall: Why 30 Engineers Marks the End of Informal Coordination"
              }
            ]
          }
        ]
      }
    },
    "hiring_process_STANDARD": {
      "percentage_stability": {},
      "stable_percentages": [],
      "variable_percentages": [],
      "n_pct_stable": 0,
      "n_pct_variable": 0,
      "n_pct_total": 0,
      "fabrication_rate_pct": null,
      "dollar_stable": [],
      "dollar_variable": [],
      "n_dollar_stable": 0,
      "n_dollar_variable": 0,
      "all_numbers_stable": 0,
      "all_numbers_variable": 0,
      "all_numbers_total": 0,
      "all_numbers_fab_rate": null,
      "heading_jaccard": 0.0,
      "n_shared_headings": 0,
      "n_total_headings": 16,
      "shared_heading_texts": [],
      "numerical_counts": [
        0,
        0,
        0
      ],
      "causal_counts": [
        11,
        9,
        8
      ],
      "numerical_count_cv": 0.0,
      "causal_count_cv": 0.134,
      "examples": {
        "stable": [],
        "variable": []
      }
    },
    "incident_response_STANDARD": {
      "percentage_stability": {
        "70.0": 1
      },
      "stable_percentages": [],
      "variable_percentages": [
        70.0
      ],
      "n_pct_stable": 0,
      "n_pct_variable": 1,
      "n_pct_total": 1,
      "fabrication_rate_pct": 1.0,
      "dollar_stable": [],
      "dollar_variable": [],
      "n_dollar_stable": 0,
      "n_dollar_variable": 0,
      "all_numbers_stable": 0,
      "all_numbers_variable": 2,
      "all_numbers_total": 2,
      "all_numbers_fab_rate": 1.0,
      "heading_jaccard": 0.0,
      "n_shared_headings": 0,
      "n_total_headings": 22,
      "shared_heading_texts": [],
      "numerical_counts": [
        1,
        0,
        1
      ],
      "causal_counts": [
        8,
        10,
        9
      ],
      "numerical_count_cv": 0.707,
      "causal_count_cv": 0.091,
      "examples": {
        "stable": [],
        "variable": [
          {
            "value": "70.0%",
            "in_versions": [
              0
            ],
            "contexts": [
              {
                "version": 0,
                "sentence": "In a degraded state, high-growth organizations force the incident lead to spend 70% of their time updating stakeholders.",
                "heading": "Replacing Status reporting with \"State-Sharing\""
              }
            ]
          }
        ]
      }
    },
    "ml_deployment_STANDARD": {
      "percentage_stability": {},
      "stable_percentages": [],
      "variable_percentages": [],
      "n_pct_stable": 0,
      "n_pct_variable": 0,
      "n_pct_total": 0,
      "fabrication_rate_pct": null,
      "dollar_stable": [],
      "dollar_variable": [],
      "n_dollar_stable": 0,
      "n_dollar_variable": 0,
      "all_numbers_stable": 0,
      "all_numbers_variable": 0,
      "all_numbers_total": 0,
      "all_numbers_fab_rate": null,
      "heading_jaccard": 0.0,
      "n_shared_headings": 0,
      "n_total_headings": 18,
      "shared_heading_texts": [],
      "numerical_counts": [
        0,
        0,
        0
      ],
      "causal_counts": [
        7,
        8,
        7
      ],
      "numerical_count_cv": 0.0,
      "causal_count_cv": 0.064,
      "examples": {
        "stable": [],
        "variable": []
      }
    },
    "open_source_sustainability_STANDARD": {
      "percentage_stability": {},
      "stable_percentages": [],
      "variable_percentages": [],
      "n_pct_stable": 0,
      "n_pct_variable": 0,
      "n_pct_total": 0,
      "fabrication_rate_pct": null,
      "dollar_stable": [],
      "dollar_variable": [
        1.0
      ],
      "n_dollar_stable": 0,
      "n_dollar_variable": 1,
      "all_numbers_stable": 0,
      "all_numbers_variable": 1,
      "all_numbers_total": 1,
      "all_numbers_fab_rate": 1.0,
      "heading_jaccard": 0.0,
      "n_shared_headings": 0,
      "n_total_headings": 17,
      "shared_heading_texts": [],
      "numerical_counts": [
        1,
        0,
        0
      ],
      "causal_counts": [
        8,
        10,
        8
      ],
      "numerical_count_cv": 1.414,
      "causal_count_cv": 0.109,
      "examples": {
        "stable": [],
        "variable": []
      }
    },
    "peer_review_STANDARD": {
      "percentage_stability": {},
      "stable_percentages": [],
      "variable_percentages": [],
      "n_pct_stable": 0,
      "n_pct_variable": 0,
      "n_pct_total": 0,
      "fabrication_rate_pct": null,
      "dollar_stable": [],
      "dollar_variable": [],
      "n_dollar_stable": 0,
      "n_dollar_variable": 0,
      "all_numbers_stable": 0,
      "all_numbers_variable": 0,
      "all_numbers_total": 0,
      "all_numbers_fab_rate": null,
      "heading_jaccard": 0.0,
      "n_shared_headings": 0,
      "n_total_headings": 21,
      "shared_heading_texts": [],
      "numerical_counts": [
        0,
        0,
        0
      ],
      "causal_counts": [
        7,
        6,
        6
      ],
      "numerical_count_cv": 0.0,
      "causal_count_cv": 0.074,
      "examples": {
        "stable": [],
        "variable": []
      }
    },
    "platform_migration_STANDARD": {
      "percentage_stability": {
        "10.0": 1,
        "15.0": 1,
        "20.0": 1,
        "60.0": 1,
        "80.0": 1,
        "90.0": 1
      },
      "stable_percentages": [],
      "variable_percentages": [
        10.0,
        15.0,
        20.0,
        60.0,
        80.0,
        90.0
      ],
      "n_pct_stable": 0,
      "n_pct_variable": 6,
      "n_pct_total": 6,
      "fabrication_rate_pct": 1.0,
      "dollar_stable": [],
      "dollar_variable": [],
      "n_dollar_stable": 0,
      "n_dollar_variable": 0,
      "all_numbers_stable": 1,
      "all_numbers_variable": 6,
      "all_numbers_total": 7,
      "all_numbers_fab_rate": 0.8571428571428571,
      "heading_jaccard": 0.0,
      "n_shared_headings": 0,
      "n_total_headings": 20,
      "shared_heading_texts": [],
      "numerical_counts": [
        7,
        7,
        2
      ],
      "causal_counts": [
        7,
        11,
        8
      ],
      "numerical_count_cv": 0.442,
      "causal_count_cv": 0.196,
      "examples": {
        "stable": [],
        "variable": [
          {
            "value": "10.0%",
            "in_versions": [
              1
            ],
            "contexts": [
              {
                "version": 1,
                "sentence": "Because platform migrations involve the displacement of \"tribal knowledge\" embedded in legacy bugs, they operate under a law of diminishing returns where the final 10% of the migration requires 90% of the timeline.",
                "heading": "The Triple-Time Tax: Why Platform Migrations Are Mathematically Inevitable Failures"
              }
            ]
          },
          {
            "value": "15.0%",
            "in_versions": [
              1
            ],
            "contexts": [
              {
                "version": 1,
                "sentence": "You find that 15% of your user base has broken profiles that cause the new, strictly-typed system to throw 500 errors.",
                "heading": "The Entropy of Operational Parity and the \"Dark Data\" Problem"
              }
            ]
          },
          {
            "value": "20.0%",
            "in_versions": [
              0
            ],
            "contexts": [
              {
                "version": 0,
                "sentence": "You spend 20% of your time migrating the core functionality and 80% of your time de-tangling the spaghetti-code dependencies that make the data unmovable.",
                "heading": "The Gravity of Coupled Data Schemas"
              }
            ]
          },
          {
            "value": "60.0%",
            "in_versions": [
              1
            ],
            "contexts": [
              {
                "version": 1,
                "sentence": "The operational tax of running both platforms simultaneously isn't an additional cost; it is the dominant cost, consuming nearly 60% of the project\u2019s total labor hours.",
                "heading": "The Concurrency Fallacy: Maintaining Two Cities at Once"
              }
            ]
          },
          {
            "value": "80.0%",
            "in_versions": [
              0
            ],
            "contexts": [
              {
                "version": 0,
                "sentence": "You spend 20% of your time migrating the core functionality and 80% of your time de-tangling the spaghetti-code dependencies that make the data unmovable.",
                "heading": "The Gravity of Coupled Data Schemas"
              }
            ]
          }
        ]
      }
    },
    "post_mortem_STANDARD": {
      "percentage_stability": {
        "0.01": 1
      },
      "stable_percentages": [],
      "variable_percentages": [
        0.01
      ],
      "n_pct_stable": 0,
      "n_pct_variable": 1,
      "n_pct_total": 1,
      "fabrication_rate_pct": 1.0,
      "dollar_stable": [],
      "dollar_variable": [],
      "n_dollar_stable": 0,
      "n_dollar_variable": 0,
      "all_numbers_stable": 1,
      "all_numbers_variable": 3,
      "all_numbers_total": 4,
      "all_numbers_fab_rate": 0.75,
      "heading_jaccard": 0.0,
      "n_shared_headings": 0,
      "n_total_headings": 19,
      "shared_heading_texts": [],
      "numerical_counts": [
        7,
        4,
        8
      ],
      "causal_counts": [
        15,
        9,
        9
      ],
      "numerical_count_cv": 0.268,
      "causal_count_cv": 0.257,
      "examples": {
        "stable": [],
        "variable": [
          {
            "value": "0.01%",
            "in_versions": [
              0
            ],
            "contexts": [
              {
                "version": 0,
                "sentence": "The engineers built a system that refuses to degrade gracefully because they fear an \"inconsistent state\" more than they fear a \"downed state.\" During the 14-hour recovery, the system could have been brought back online in minutes if the team had acc",
                "heading": "Cultural Preference for \"Correctness\" Over \"Continuity\" in System Design"
              }
            ]
          }
        ]
      }
    },
    "pricing_psychology_STANDARD": {
      "percentage_stability": {
        "5.0": 1,
        "20.0": 1,
        "80.0": 1,
        "95.0": 1
      },
      "stable_percentages": [],
      "variable_percentages": [
        5.0,
        20.0,
        80.0,
        95.0
      ],
      "n_pct_stable": 0,
      "n_pct_variable": 4,
      "n_pct_total": 4,
      "fabrication_rate_pct": 1.0,
      "dollar_stable": [],
      "dollar_variable": [
        1.0,
        5.0,
        10.0,
        100.0
      ],
      "n_dollar_stable": 0,
      "n_dollar_variable": 4,
      "all_numbers_stable": 0,
      "all_numbers_variable": 9,
      "all_numbers_total": 9,
      "all_numbers_fab_rate": 1.0,
      "heading_jaccard": 0.0,
      "n_shared_headings": 0,
      "n_total_headings": 19,
      "shared_heading_texts": [],
      "numerical_counts": [
        1,
        3,
        1
      ],
      "causal_counts": [
        6,
        8,
        11
      ],
      "numerical_count_cv": 0.566,
      "causal_count_cv": 0.247,
      "examples": {
        "stable": [],
        "variable": [
          {
            "value": "5.0%",
            "in_versions": [
              1,
              1
            ],
            "contexts": [
              {
                "version": 1,
                "sentence": "If a company loses 5% of its base due to a price increase but increases revenue from the remaining 95% by 20%, they have fundamentally improved the health of their business.",
                "heading": "Survivorship Bias in Churn Attribution"
              },
              {
                "version": 1,
                "sentence": "Yet, management teams fixate on the 5% who left.",
                "heading": "Survivorship Bias in Churn Attribution"
              }
            ]
          },
          {
            "value": "20.0%",
            "in_versions": [
              1,
              1
            ],
            "contexts": [
              {
                "version": 1,
                "sentence": "If a company loses 5% of its base due to a price increase but increases revenue from the remaining 95% by 20%, they have fundamentally improved the health of their business.",
                "heading": "Survivorship Bias in Churn Attribution"
              },
              {
                "version": 1,
                "sentence": "A company with $10M in ARR at a 20% margin is viewed as \"healthier\" by the market than a company with $5M in ARR at an 80% margin.",
                "heading": "The Institutional Inertia of Revenue Recognition"
              }
            ]
          },
          {
            "value": "80.0%",
            "in_versions": [
              1
            ],
            "contexts": [
              {
                "version": 1,
                "sentence": "A company with $10M in ARR at a 20% margin is viewed as \"healthier\" by the market than a company with $5M in ARR at an 80% margin.",
                "heading": "The Institutional Inertia of Revenue Recognition"
              }
            ]
          },
          {
            "value": "95.0%",
            "in_versions": [
              1
            ],
            "contexts": [
              {
                "version": 1,
                "sentence": "If a company loses 5% of its base due to a price increase but increases revenue from the remaining 95% by 20%, they have fundamentally improved the health of their business.",
                "heading": "Survivorship Bias in Churn Attribution"
              }
            ]
          }
        ]
      }
    },
    "product_market_fit_STANDARD": {
      "percentage_stability": {
        "2.0": 2,
        "5.0": 1,
        "10.0": 1,
        "15.0": 1
      },
      "stable_percentages": [],
      "variable_percentages": [
        2.0,
        5.0,
        10.0,
        15.0
      ],
      "n_pct_stable": 0,
      "n_pct_variable": 4,
      "n_pct_total": 4,
      "fabrication_rate_pct": 1.0,
      "dollar_stable": [],
      "dollar_variable": [],
      "n_dollar_stable": 0,
      "n_dollar_variable": 0,
      "all_numbers_stable": 0,
      "all_numbers_variable": 4,
      "all_numbers_total": 4,
      "all_numbers_fab_rate": 1.0,
      "heading_jaccard": 0.0,
      "n_shared_headings": 0,
      "n_total_headings": 18,
      "shared_heading_texts": [],
      "numerical_counts": [
        0,
        2,
        3
      ],
      "causal_counts": [
        7,
        7,
        6
      ],
      "numerical_count_cv": 0.748,
      "causal_count_cv": 0.071,
      "examples": {
        "stable": [],
        "variable": [
          {
            "value": "2.0%",
            "in_versions": [
              1,
              2
            ],
            "contexts": [
              {
                "version": 1,
                "sentence": "In the PMF search, a 2% improvement in click-through rate is irrelevant if your core value proposition is fundamentally misaligned with the market\u2019s pain point.",
                "heading": "The Uncertainty Gap: Why Optimization Kills Embryonic Ventures"
              },
              {
                "version": 2,
                "sentence": "Measuring a 2% improvement in a funnel is tangible, trackable, and safe.",
                "heading": "The Trap of Premature Metricization"
              }
            ]
          },
          {
            "value": "5.0%",
            "in_versions": [
              2,
              2
            ],
            "contexts": [
              {
                "version": 2,
                "sentence": "If you increase the efficiency of your funnel by 5%, you get 5% more revenue.",
                "heading": "Optimization as a Response to Known Constraints"
              },
              {
                "version": 2,
                "sentence": "If you increase the efficiency of your funnel by 5%, you get 5% more revenue.",
                "heading": "Optimization as a Response to Known Constraints"
              }
            ]
          },
          {
            "value": "10.0%",
            "in_versions": [
              2
            ],
            "contexts": [
              {
                "version": 2,
                "sentence": "This leads to the \"Local Maxima Illusion.\" A team with a mediocre product optimizes their onboarding flow, increases conversion by 10%, and celebrates.",
                "heading": "The Trap of Premature Metricization"
              }
            ]
          },
          {
            "value": "15.0%",
            "in_versions": [
              1
            ],
            "contexts": [
              {
                "version": 1,
                "sentence": "It is comfortable to report that you have increased email open rates by 15%.",
                "heading": "The Threshold of Scalable Pain"
              }
            ]
          }
        ]
      }
    },
    "remote_culture_STANDARD": {
      "percentage_stability": {
        "80.0": 1
      },
      "stable_percentages": [],
      "variable_percentages": [
        80.0
      ],
      "n_pct_stable": 0,
      "n_pct_variable": 1,
      "n_pct_total": 1,
      "fabrication_rate_pct": 1.0,
      "dollar_stable": [],
      "dollar_variable": [],
      "n_dollar_stable": 0,
      "n_dollar_variable": 0,
      "all_numbers_stable": 0,
      "all_numbers_variable": 2,
      "all_numbers_total": 2,
      "all_numbers_fab_rate": 1.0,
      "heading_jaccard": 0.0,
      "n_shared_headings": 0,
      "n_total_headings": 18,
      "shared_heading_texts": [],
      "numerical_counts": [
        1,
        1,
        1
      ],
      "causal_counts": [
        15,
        8,
        7
      ],
      "numerical_count_cv": 0.0,
      "causal_count_cv": 0.356,
      "examples": {
        "stable": [],
        "variable": [
          {
            "value": "80.0%",
            "in_versions": [
              0
            ],
            "contexts": [
              {
                "version": 0,
                "sentence": "Teams spend 80% of their energy drafting comprehensive \"Decision Records\" and \"Pre-reads,\" believing the document *is* the decision.",
                "heading": "Why Remote-First \"Over-Documentation\" Masks Intellectual Laziness"
              }
            ]
          }
        ]
      }
    },
    "research_analysis_STANDARD": {
      "percentage_stability": {},
      "stable_percentages": [],
      "variable_percentages": [],
      "n_pct_stable": 0,
      "n_pct_variable": 0,
      "n_pct_total": 0,
      "fabrication_rate_pct": null,
      "dollar_stable": [],
      "dollar_variable": [],
      "n_dollar_stable": 0,
      "n_dollar_variable": 0,
      "all_numbers_stable": 0,
      "all_numbers_variable": 0,
      "all_numbers_total": 0,
      "all_numbers_fab_rate": null,
      "heading_jaccard": 0.0,
      "n_shared_headings": 0,
      "n_total_headings": 19,
      "shared_heading_texts": [],
      "numerical_counts": [
        0,
        0,
        0
      ],
      "causal_counts": [
        7,
        7,
        6
      ],
      "numerical_count_cv": 0.0,
      "causal_count_cv": 0.071,
      "examples": {
        "stable": [],
        "variable": []
      }
    },
    "supply_chain_resilience_STANDARD": {
      "percentage_stability": {
        "1.0": 1,
        "80.0": 1,
        "98.0": 1,
        "99.0": 1,
        "100.0": 1
      },
      "stable_percentages": [],
      "variable_percentages": [
        1.0,
        80.0,
        98.0,
        99.0,
        100.0
      ],
      "n_pct_stable": 0,
      "n_pct_variable": 5,
      "n_pct_total": 5,
      "fabrication_rate_pct": 1.0,
      "dollar_stable": [],
      "dollar_variable": [],
      "n_dollar_stable": 0,
      "n_dollar_variable": 0,
      "all_numbers_stable": 0,
      "all_numbers_variable": 5,
      "all_numbers_total": 5,
      "all_numbers_fab_rate": 1.0,
      "heading_jaccard": 0.0,
      "n_shared_headings": 0,
      "n_total_headings": 20,
      "shared_heading_texts": [],
      "numerical_counts": [
        3,
        0,
        0
      ],
      "causal_counts": [
        2,
        3,
        4
      ],
      "numerical_count_cv": 1.414,
      "causal_count_cv": 0.272,
      "examples": {
        "stable": [],
        "variable": [
          {
            "value": "1.0%",
            "in_versions": [
              0
            ],
            "contexts": [
              {
                "version": 0,
                "sentence": "By optimizing for a 99% probability of smooth operations, these firms created a system that was structurally incapable of absorbing a 1% black swan event.",
                "heading": "The Just-in-Time Paradox: Eliminating Latency at the Expense of Buffer Capacity"
              }
            ]
          },
          {
            "value": "80.0%",
            "in_versions": [
              0
            ],
            "contexts": [
              {
                "version": 0,
                "sentence": "Resilience requires \"dark capacity\"\u2014factories that run at 80% utilization rather than 98%.",
                "heading": "2. The Shift from Cost-Efficiency to Capacity-Flexibility"
              }
            ]
          },
          {
            "value": "98.0%",
            "in_versions": [
              0
            ],
            "contexts": [
              {
                "version": 0,
                "sentence": "Resilience requires \"dark capacity\"\u2014factories that run at 80% utilization rather than 98%.",
                "heading": "2. The Shift from Cost-Efficiency to Capacity-Flexibility"
              }
            ]
          },
          {
            "value": "99.0%",
            "in_versions": [
              0
            ],
            "contexts": [
              {
                "version": 0,
                "sentence": "By optimizing for a 99% probability of smooth operations, these firms created a system that was structurally incapable of absorbing a 1% black swan event.",
                "heading": "The Just-in-Time Paradox: Eliminating Latency at the Expense of Buffer Capacity"
              }
            ]
          },
          {
            "value": "100.0%",
            "in_versions": [
              0
            ],
            "contexts": [
              {
                "version": 0,
                "sentence": "Firms have spent decades optimizing for 100% capacity utilization.",
                "heading": "2. The Shift from Cost-Efficiency to Capacity-Flexibility"
              }
            ]
          }
        ]
      }
    },
    "technical_architecture_STANDARD": {
      "percentage_stability": {
        "50.0": 1
      },
      "stable_percentages": [],
      "variable_percentages": [
        50.0
      ],
      "n_pct_stable": 0,
      "n_pct_variable": 1,
      "n_pct_total": 1,
      "fabrication_rate_pct": 1.0,
      "dollar_stable": [],
      "dollar_variable": [],
      "n_dollar_stable": 0,
      "n_dollar_variable": 0,
      "all_numbers_stable": 1,
      "all_numbers_variable": 5,
      "all_numbers_total": 6,
      "all_numbers_fab_rate": 0.8333333333333334,
      "heading_jaccard": 0.0,
      "n_shared_headings": 0,
      "n_total_headings": 20,
      "shared_heading_texts": [],
      "numerical_counts": [
        3,
        6,
        4
      ],
      "causal_counts": [
        12,
        9,
        11
      ],
      "numerical_count_cv": 0.288,
      "causal_count_cv": 0.117,
      "examples": {
        "stable": [],
        "variable": [
          {
            "value": "50.0%",
            "in_versions": [
              0
            ],
            "contexts": [
              {
                "version": 0,
                "sentence": "This creates a \"Context Switching Tax\" that devours 30\u201350% of engineering time.",
                "heading": "The Cognitive Load Bottleneck of Operational Overhead"
              }
            ]
          }
        ]
      }
    },
    "technical_debt_STANDARD": {
      "percentage_stability": {},
      "stable_percentages": [],
      "variable_percentages": [],
      "n_pct_stable": 0,
      "n_pct_variable": 0,
      "n_pct_total": 0,
      "fabrication_rate_pct": null,
      "dollar_stable": [],
      "dollar_variable": [],
      "n_dollar_stable": 0,
      "n_dollar_variable": 0,
      "all_numbers_stable": 0,
      "all_numbers_variable": 1,
      "all_numbers_total": 1,
      "all_numbers_fab_rate": 1.0,
      "heading_jaccard": 0.0,
      "n_shared_headings": 0,
      "n_total_headings": 17,
      "shared_heading_texts": [],
      "numerical_counts": [
        0,
        1,
        0
      ],
      "causal_counts": [
        12,
        6,
        9
      ],
      "numerical_count_cv": 1.414,
      "causal_count_cv": 0.272,
      "examples": {
        "stable": [],
        "variable": []
      }
    },
    "urban_transit_STANDARD": {
      "percentage_stability": {
        "10.0": 1,
        "20.0": 1
      },
      "stable_percentages": [],
      "variable_percentages": [
        10.0,
        20.0
      ],
      "n_pct_stable": 0,
      "n_pct_variable": 2,
      "n_pct_total": 2,
      "fabrication_rate_pct": 1.0,
      "dollar_stable": [],
      "dollar_variable": [
        2.0,
        200.0
      ],
      "n_dollar_stable": 0,
      "n_dollar_variable": 2,
      "all_numbers_stable": 0,
      "all_numbers_variable": 4,
      "all_numbers_total": 4,
      "all_numbers_fab_rate": 1.0,
      "heading_jaccard": 0.0,
      "n_shared_headings": 0,
      "n_total_headings": 19,
      "shared_heading_texts": [],
      "numerical_counts": [
        0,
        0,
        2
      ],
      "causal_counts": [
        8,
        10,
        11
      ],
      "numerical_count_cv": 1.414,
      "causal_count_cv": 0.129,
      "examples": {
        "stable": [],
        "variable": [
          {
            "value": "10.0%",
            "in_versions": [
              2
            ],
            "contexts": [
              {
                "version": 2,
                "sentence": "Because BRT infrastructure costs a fraction of rail\u2014often 10% to 20% of the cost per kilometer\u2014the amortization of capital investment per passenger is mathematically superior.",
                "heading": "The Efficiency Paradox: BRT\u2019s Lower Cost-Per-Rider Infrastructure"
              }
            ]
          },
          {
            "value": "20.0%",
            "in_versions": [
              2
            ],
            "contexts": [
              {
                "version": 2,
                "sentence": "Because BRT infrastructure costs a fraction of rail\u2014often 10% to 20% of the cost per kilometer\u2014the amortization of capital investment per passenger is mathematically superior.",
                "heading": "The Efficiency Paradox: BRT\u2019s Lower Cost-Per-Rider Infrastructure"
              }
            ]
          }
        ]
      }
    }
  },
  "basic_results": {
    "business_strategy_BASIC": {
      "percentage_stability": {},
      "stable_percentages": [],
      "variable_percentages": [],
      "n_pct_stable": 0,
      "n_pct_variable": 0,
      "n_pct_total": 0,
      "fabrication_rate_pct": null,
      "dollar_stable": [
        10.0,
        30.0
      ],
      "dollar_variable": [
        1.0,
        50.0,
        100.0
      ],
      "n_dollar_stable": 2,
      "n_dollar_variable": 3,
      "all_numbers_stable": 2,
      "all_numbers_variable": 4,
      "all_numbers_total": 6,
      "all_numbers_fab_rate": 0.6666666666666666,
      "heading_jaccard": 0.0,
      "n_shared_headings": 0,
      "n_total_headings": 14,
      "shared_heading_texts": [],
      "numerical_counts": [
        10,
        4
      ],
      "causal_counts": [
        5,
        7
      ],
      "numerical_count_cv": 0.429,
      "causal_count_cv": 0.167,
      "examples": {
        "stable": [],
        "variable": []
      }
    },
    "hiring_plan_BASIC": {
      "percentage_stability": {
        "15.0": 1,
        "20.0": 1,
        "50.0": 1,
        "100.0": 1
      },
      "stable_percentages": [],
      "variable_percentages": [
        15.0,
        20.0,
        50.0,
        100.0
      ],
      "n_pct_stable": 0,
      "n_pct_variable": 4,
      "n_pct_total": 4,
      "fabrication_rate_pct": 1.0,
      "dollar_stable": [],
      "dollar_variable": [],
      "n_dollar_stable": 0,
      "n_dollar_variable": 0,
      "all_numbers_stable": 0,
      "all_numbers_variable": 7,
      "all_numbers_total": 7,
      "all_numbers_fab_rate": 1.0,
      "heading_jaccard": 0.0,
      "n_shared_headings": 0,
      "n_total_headings": 23,
      "shared_heading_texts": [],
      "numerical_counts": [
        4,
        2
      ],
      "causal_counts": [
        5,
        3
      ],
      "numerical_count_cv": 0.333,
      "causal_count_cv": 0.25,
      "examples": {
        "stable": [],
        "variable": [
          {
            "value": "15.0%",
            "in_versions": [
              0
            ],
            "contexts": [
              {
                "version": 0,
                "sentence": "Dedicate 10-15% of your total headcount to a \"Platform Team.\" Their sole job is to provide internal tools that make it easier for the product teams to deploy, monitor, and test their code.",
                "heading": "4. Invest in \"Platform Engineering\""
              }
            ]
          },
          {
            "value": "20.0%",
            "in_versions": [
              0
            ],
            "contexts": [
              {
                "version": 0,
                "sentence": "Never grow the headcount by more than 20% in a single quarter.",
                "heading": "1. Phased Hiring: The 20% Rule"
              }
            ]
          },
          {
            "value": "50.0%",
            "in_versions": [
              0
            ],
            "contexts": [
              {
                "version": 0,
                "sentence": "If you add 15 people to a 15-person team, your new hires represent 50% of the team\u2019s total experience.",
                "heading": "1. The \"Big Bang\" Hiring Strategy"
              }
            ]
          },
          {
            "value": "100.0%",
            "in_versions": [
              0
            ],
            "contexts": [
              {
                "version": 0,
                "sentence": "They will consume 100% of the existing team\u2019s time for onboarding.",
                "heading": "1. The \"Big Bang\" Hiring Strategy"
              }
            ]
          }
        ]
      }
    },
    "post_mortem_BASIC": {
      "percentage_stability": {
        "100.0": 1
      },
      "stable_percentages": [],
      "variable_percentages": [
        100.0
      ],
      "n_pct_stable": 0,
      "n_pct_variable": 1,
      "n_pct_total": 1,
      "fabrication_rate_pct": 1.0,
      "dollar_stable": [],
      "dollar_variable": [],
      "n_dollar_stable": 0,
      "n_dollar_variable": 0,
      "all_numbers_stable": 1,
      "all_numbers_variable": 1,
      "all_numbers_total": 2,
      "all_numbers_fab_rate": 0.5,
      "heading_jaccard": 0.0,
      "n_shared_headings": 0,
      "n_total_headings": 14,
      "shared_heading_texts": [],
      "numerical_counts": [
        9,
        4
      ],
      "causal_counts": [
        9,
        11
      ],
      "numerical_count_cv": 0.385,
      "causal_count_cv": 0.1,
      "examples": {
        "stable": [],
        "variable": [
          {
            "value": "100.0%",
            "in_versions": [
              0,
              0
            ],
            "contexts": [
              {
                "version": 0,
                "sentence": "Instead of failing gracefully into a read-only or limited-feature state, the system attempts to maintain 100% functionality and fails 100% of the way.",
                "heading": "4. Operational Inertia and the \"Recovery Paradox\""
              },
              {
                "version": 0,
                "sentence": "Instead of failing gracefully into a read-only or limited-feature state, the system attempts to maintain 100% functionality and fails 100% of the way.",
                "heading": "4. Operational Inertia and the \"Recovery Paradox\""
              }
            ]
          }
        ]
      }
    },
    "research_analysis_BASIC": {
      "percentage_stability": {},
      "stable_percentages": [],
      "variable_percentages": [],
      "n_pct_stable": 0,
      "n_pct_variable": 0,
      "n_pct_total": 0,
      "fabrication_rate_pct": null,
      "dollar_stable": [],
      "dollar_variable": [],
      "n_dollar_stable": 0,
      "n_dollar_variable": 0,
      "all_numbers_stable": 0,
      "all_numbers_variable": 0,
      "all_numbers_total": 0,
      "all_numbers_fab_rate": null,
      "heading_jaccard": 0.0,
      "n_shared_headings": 0,
      "n_total_headings": 14,
      "shared_heading_texts": [],
      "numerical_counts": [
        0,
        0
      ],
      "causal_counts": [
        8,
        1
      ],
      "numerical_count_cv": 0.0,
      "causal_count_cv": 0.778,
      "examples": {
        "stable": [],
        "variable": []
      }
    },
    "technical_architecture_BASIC": {
      "percentage_stability": {
        "40.0": 1
      },
      "stable_percentages": [],
      "variable_percentages": [
        40.0
      ],
      "n_pct_stable": 0,
      "n_pct_variable": 1,
      "n_pct_total": 1,
      "fabrication_rate_pct": 1.0,
      "dollar_stable": [],
      "dollar_variable": [],
      "n_dollar_stable": 0,
      "n_dollar_variable": 0,
      "all_numbers_stable": 2,
      "all_numbers_variable": 2,
      "all_numbers_total": 4,
      "all_numbers_fab_rate": 0.5,
      "heading_jaccard": 0.0,
      "n_shared_headings": 0,
      "n_total_headings": 14,
      "shared_heading_texts": [],
      "numerical_counts": [
        7,
        7
      ],
      "causal_counts": [
        8,
        7
      ],
      "numerical_count_cv": 0.0,
      "causal_count_cv": 0.067,
      "examples": {
        "stable": [],
        "variable": [
          {
            "value": "40.0%",
            "in_versions": [
              0
            ],
            "contexts": [
              {
                "version": 0,
                "sentence": "If the team does not have a dedicated Platform Engineering group to handle this, the developers spend 40% of their time \"managing the architecture\" rather than shipping features.",
                "heading": "4. Operational Overload and \"Tooling Fatigue\""
              }
            ]
          }
        ]
      }
    }
  },
  "aggregate": {
    "standard_pct_fab_rate_mean": 1.0,
    "standard_pct_fab_rate_median": 1.0,
    "standard_all_fab_rate_mean": 0.9392,
    "basic_pct_fab_rate_mean": 1.0,
    "mean_heading_jaccard": 0.0,
    "mean_pct_per_topic": 1.4,
    "mean_all_nums_per_topic": 3
  },
  "kill_signals": {
    "ks1_signal_density": 0.8,
    "ks2_condition_diff": 0.0,
    "ks3_mean_fab_rate": 1.0,
    "ks4_fab_rate_range": [
      1.0,
      1.0
    ]
  }
}