{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "7dbb3d46",
   "metadata": {},
   "source": [
    "# Real films, different questions\n",
    "\n",
    "A reproducible companion to **How we design UI and UX with AI agents**.\n",
    "\n",
    "## Findings\n",
    "\n",
    "Among the four highest-view eligible Instagram deliveries, **Mavrodi** leads both views (3,992) and average watch (35.090 seconds). **Charles Ponzi** has the highest average-watch/runtime ratio of these four (55.78%, versus 45.06% for Mavrodi). Changing the denominator changes the question; it does not establish a better film.\n",
    "\n",
    "The actual TikTok retention example reports **65% at 4 seconds**. Its curve sample size is unreported. These observations are descriptive, not causal or significance claims."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "98d403f1",
   "metadata": {},
   "source": [
    "## Context and methods\n",
    "\n",
    "The frozen first-party export has a capture cutoff of **2026-10-22 17:50:48.953 UTC**. The comparison includes Instagram `@getsweatai` deliveries old enough to reach 48 hours, with a reported view counter and average watch, and an original capture between 46 and 50 hours after publication. Source preparation chooses the nearest capture to 48 hours (ties: earlier capture, then smaller numeric snapshot ID).\n",
    "\n",
    "The supplied `observations.json` contains **all 42 prepared eligible rows** and the four selected by descending views. The public files can reproduce eligibility checks, selection from this cohort, and the arithmetic. The full private capture history is intentionally omitted: this notebook cannot independently establish cohort completeness or re-run nearest-capture selection over omitted records.\n",
    "\n",
    "### Assumptions and limits\n",
    "\n",
    "- One platform, one account, approximately the same publication age; publication dates still differ.\n",
    "- Distribution is unknown, so this is not a controlled or established-organic comparison.\n",
    "- Average watch/runtime is a ratio of aggregates, **not completed plays**.\n",
    "- Comparison runtime comes from post metadata; the original comparison snapshots do not report runtime.\n",
    "- Capture time is not a provider data-through guarantee. View counters do not count unique people.\n",
    "- Original numeric snapshot IDs and source hashes preserve traceability; private UUIDs, raw bodies and URL queries are omitted.\n",
    "\n",
    "Source: `observations.json`; formulas and validation: `reproduce.py`. No live service or credential is needed."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "48c5f3dd",
   "metadata": {},
   "source": [
    "## Load and validate the data\n",
    "\n",
    "Run the notebook from this directory. Python 3, `nbformat`, `nbclient`, `ipykernel`, `IPython`, and Matplotlib are sufficient. The separate command `python reproduce.py` needs only Python's standard library."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "9ac542c5",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-10-24T15:31:07.977052Z",
     "iopub.status.busy": "2026-10-24T15:31:07.976952Z",
     "iopub.status.idle": "2026-10-24T15:31:08.379247Z",
     "shell.execute_reply": "2026-10-24T15:31:08.378880Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Validation: PASS\n",
      "Prepared eligible rows: 42\n",
      "Capture cutoff: 2026-10-22T17:50:48.953Z\n",
      "Public input SHA-256: 72ade44c6d3844e8518d464ecf0271944271e09cfaba858b8f756a5916453139\n",
      "Frozen source gzip SHA-256: 70f856f52210af944e66dc0570aff5d71938fd6948b65c0afb536f6e10232ec1\n",
      "Raw capture history reprocessed: False\n"
     ]
    }
   ],
   "source": [
    "import hashlib\n",
    "import json\n",
    "from pathlib import Path\n",
    "from html import escape\n",
    "import matplotlib.pyplot as plt\n",
    "from IPython.display import HTML, display\n",
    "from reproduce import validate_and_calculate\n",
    "\n",
    "input_path = Path(\"observations.json\")\n",
    "input_bytes = input_path.read_bytes()\n",
    "data = json.loads(input_bytes)\n",
    "result = validate_and_calculate(data)\n",
    "print(\"Validation:\", result[\"status\"])\n",
    "print(\"Prepared eligible rows:\", result[\"prepared_cohort_count\"])\n",
    "print(\"Capture cutoff:\", result[\"source_capture_cutoff\"])\n",
    "print(\"Public input SHA-256:\", hashlib.sha256(input_bytes).hexdigest())\n",
    "print(\"Frozen source gzip SHA-256:\", data[\"source_export_sha256\"])\n",
    "print(\"Raw capture history reprocessed:\", result[\"raw_capture_history_reprocessed\"])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4b05fb65",
   "metadata": {},
   "source": [
    "## The selected four\n",
    "\n",
    "The same four films appear in both views. Preserve the raw reported seconds for arithmetic; round only for display. The film labels are short editorial identifiers for the linked public titles, not additional observations."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "c03da10a",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-10-24T15:31:08.381198Z",
     "iopub.status.busy": "2026-10-24T15:31:08.380964Z",
     "iopub.status.idle": "2026-10-24T15:31:08.386602Z",
     "shell.execute_reply": "2026-10-24T15:31:08.386077Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table><thead><tr><th style='padding:8px 12px;text-align:left'>Film</th><th style='padding:8px 12px;text-align:left'>Snapshot</th><th style='padding:8px 12px;text-align:left'>Views</th><th style='padding:8px 12px;text-align:left'>Avg watch (s)</th><th style='padding:8px 12px;text-align:left'>Runtime (s)</th><th style='padding:8px 12px;text-align:left'>Avg watch/runtime</th><th style='padding:8px 12px;text-align:left'>Capture age (h)</th></tr></thead><tbody><tr><td style='padding:8px 12px;text-align:left'>Mavrodi</td><td style='padding:8px 12px;text-align:left'>1147</td><td style='padding:8px 12px;text-align:left'>3,992</td><td style='padding:8px 12px;text-align:left'>35.090</td><td style='padding:8px 12px;text-align:left'>77.880</td><td style='padding:8px 12px;text-align:left'>45.06%</td><td style='padding:8px 12px;text-align:left'>47.835</td></tr><tr><td style='padding:8px 12px;text-align:left'>Elizabeth Holmes</td><td style='padding:8px 12px;text-align:left'>5240</td><td style='padding:8px 12px;text-align:left'>1,607</td><td style='padding:8px 12px;text-align:left'>19.847</td><td style='padding:8px 12px;text-align:left'>55.950</td><td style='padding:8px 12px;text-align:left'>35.47%</td><td style='padding:8px 12px;text-align:left'>47.908</td></tr><tr><td style='padding:8px 12px;text-align:left'>Anthony Gignac</td><td style='padding:8px 12px;text-align:left'>4140</td><td style='padding:8px 12px;text-align:left'>1,421</td><td style='padding:8px 12px;text-align:left'>26.798</td><td style='padding:8px 12px;text-align:left'>50.560</td><td style='padding:8px 12px;text-align:left'>53.00%</td><td style='padding:8px 12px;text-align:left'>47.825</td></tr><tr><td style='padding:8px 12px;text-align:left'>Charles Ponzi</td><td style='padding:8px 12px;text-align:left'>3271</td><td style='padding:8px 12px;text-align:left'>1,415</td><td style='padding:8px 12px;text-align:left'>24.610</td><td style='padding:8px 12px;text-align:left'>44.120</td><td style='padding:8px 12px;text-align:left'>55.78%</td><td style='padding:8px 12px;text-align:left'>48.430</td></tr></tbody></table>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Views leader: Mavrodi\n",
      "Average-seconds leader: Mavrodi\n",
      "Average-watch/runtime leader: Charles Ponzi\n"
     ]
    }
   ],
   "source": [
    "rows = data[\"comparison\"]\n",
    "headers = [\"Film\", \"Snapshot\", \"Views\", \"Avg watch (s)\", \"Runtime (s)\", \"Avg watch/runtime\", \"Capture age (h)\"]\n",
    "body = []\n",
    "for row in rows:\n",
    "    ratio = row[\"avg_watch_s\"] / row[\"duration_s\"] * 100\n",
    "    values = [row[\"label\"], str(row[\"snapshot_id\"]), f'{row[\"views\"]:,}',\n",
    "              f'{row[\"avg_watch_s\"]:.3f}', f'{row[\"duration_s\"]:.3f}',\n",
    "              f'{ratio:.2f}%', f'{row[\"observed_age_h\"]:.3f}']\n",
    "    body.append(\"<tr>\" + \"\".join(\"<td style='padding:8px 12px;text-align:left'>\" + escape(v) + \"</td>\" for v in values) + \"</tr>\")\n",
    "display(HTML(\"<table><thead><tr>\" + \"\".join(\"<th style='padding:8px 12px;text-align:left'>\" + h + \"</th>\" for h in headers) + \"</tr></thead><tbody>\" + \"\".join(body) + \"</tbody></table>\"))\n",
    "print(\"Views leader:\", result[\"views_leader\"])\n",
    "print(\"Average-seconds leader:\", result[\"average_seconds_leader\"])\n",
    "print(\"Average-watch/runtime leader:\", result[\"average_watch_runtime_leader\"])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "15b6b48e",
   "metadata": {},
   "source": [
    "### Two legitimate metrics, two different leaders\n",
    "\n",
    "Both axes begin at zero and use the same film order (descending views). Separate panels keep seconds and percentage units distinct. Direct numeric labels identify the values without relying on color."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "442af12d",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-10-24T15:31:08.388757Z",
     "iopub.status.busy": "2026-10-24T15:31:08.388603Z",
     "iopub.status.idle": "2026-10-24T15:31:08.541212Z",
     "shell.execute_reply": "2026-10-24T15:31:08.540763Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1120x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.rcParams.update({\n",
    "    \"font.family\": \"DejaVu Sans\", \"font.size\": 11,\n",
    "    \"axes.titlesize\": 13, \"axes.labelsize\": 11,\n",
    "    \"axes.spines.top\": False, \"axes.spines.right\": False,\n",
    "    \"axes.edgecolor\": \"#aaaaaa\", \"text.color\": \"#171717\",\n",
    "    \"axes.labelcolor\": \"#333333\", \"xtick.color\": \"#555555\",\n",
    "    \"ytick.color\": \"#171717\", \"figure.facecolor\": \"white\",\n",
    "    \"axes.facecolor\": \"white\", \"savefig.facecolor\": \"white\",\n",
    "})\n",
    "labels = [row[\"label\"] for row in rows]\n",
    "seconds = [row[\"avg_watch_s\"] for row in rows]\n",
    "fractions = [row[\"avg_watch_s\"] / row[\"duration_s\"] * 100 for row in rows]\n",
    "fig, axes = plt.subplots(1, 2, figsize=(11.2, 4.8), sharey=True)\n",
    "fig.subplots_adjust(left=.19, right=.97, bottom=.23, top=.77, wspace=.19)\n",
    "for ax, values, title, unit, limit in zip(\n",
    "        axes, [seconds, fractions], [\"Average watch\", \"Average watch / runtime\"],\n",
    "        [\"Seconds\", \"Percent of runtime\"], [42, 66]):\n",
    "    bars = ax.barh(range(len(rows)), values, height=.46, color=\"#353535\")\n",
    "    ax.set_xlim(0, limit)\n",
    "    ax.set_title(title, loc=\"left\", pad=16)\n",
    "    ax.set_xlabel(unit, labelpad=11)\n",
    "    ax.set_axisbelow(True)\n",
    "    ax.xaxis.grid(True, color=\"#e5e5e5\", linewidth=.7)\n",
    "    ax.tick_params(axis=\"y\", length=0, pad=10)\n",
    "    for bar, value in zip(bars, values):\n",
    "        suffix = \"s\" if unit == \"Seconds\" else \"%\"\n",
    "        ax.text(value + limit*.018, bar.get_y()+bar.get_height()/2,\n",
    "                f\"{value:.2f}{suffix}\", va=\"center\", fontsize=11)\n",
    "axes[0].set_yticks(range(len(labels)))\n",
    "axes[0].set_yticklabels(labels)\n",
    "axes[0].invert_yaxis()\n",
    "fig.suptitle(\"The same four films answer two different questions\", x=.19, y=.97,\n",
    "             ha=\"left\", fontsize=17, fontweight=\"bold\")\n",
    "fig.text(.19, .87, \"Instagram @getsweatai · top four by views from 42 eligible 48h ±2h readings\", fontsize=10.5, color=\"#555555\")\n",
    "fig.text(.19, .04, \"Frozen cutoff: 22 Oct 2026, 17:50 UTC. Runtime: post metadata.\\nMean watch/runtime is not completion; distribution and causal effects are unknown.\", fontsize=10, color=\"#555555\", linespacing=1.5)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4e42865d",
   "metadata": {},
   "source": [
    "Mavrodi's 35.090 / 77.880 seconds gives 45.06%; Ponzi's 24.610 / 44.120 gives 55.78%. The first has a higher mean time watched, while the second has a higher mean/runtime ratio **among these selected four**. Neither calculation tells us whether viewers completed the film, why the difference occurred, or which film would perform better under equal exposure."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e0d6c4e7",
   "metadata": {},
   "source": [
    "## Keep sharing inputs in their own reading\n",
    "\n",
    "These are two real TikTok readings for the same Mavrodi delivery. Both counts changed. Mixing the earlier numerator with the later denominator yields a number from neither observation."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "eda955da",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-10-24T15:31:08.543017Z",
     "iopub.status.busy": "2026-10-24T15:31:08.542879Z",
     "iopub.status.idle": "2026-10-24T15:31:08.546152Z",
     "shell.execute_reply": "2026-10-24T15:31:08.545818Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "earlier: snapshot 1146; 2026-09-29T22:51:19.511106+00:00; 1 shares / 220 views × 1,000 = 4.545455\n",
      "later: snapshot 20641; 2026-10-22T03:31:12.820393+00:00; 2 shares / 234 views × 1,000 = 8.547009\n",
      "Deliberately mixed: 1 / 234 × 1,000 = 4.273504\n",
      "The mixed result is a counterexample, not another provider reading.\n",
      "Measured-zero shares: 0\n",
      "Missing shares: None\n"
     ]
    }
   ],
   "source": [
    "sharing = data[\"sharing\"]\n",
    "for name in (\"earlier\", \"later\"):\n",
    "    row = sharing[name]\n",
    "    rate = row[\"shares\"] / row[\"views\"] * 1000\n",
    "    print(f'{name}: snapshot {row[\"snapshot_id\"]}; {row[\"captured_at\"]}; '\n",
    "          f'{row[\"shares\"]} shares / {row[\"views\"]} views × 1,000 = {rate:.6f}')\n",
    "earlier, later = sharing[\"earlier\"], sharing[\"later\"]\n",
    "mixed = earlier[\"shares\"] / later[\"views\"] * 1000\n",
    "print(f'Deliberately mixed: {earlier[\"shares\"]} / {later[\"views\"]} × 1,000 = {mixed:.6f}')\n",
    "print(\"The mixed result is a counterexample, not another provider reading.\")\n",
    "print(\"Measured-zero shares:\", data[\"zero_and_missing\"][\"measured_zero\"][\"shares\"])\n",
    "print(\"Missing shares:\", data[\"zero_and_missing\"][\"missing\"][\"shares\"])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d8b12bec",
   "metadata": {},
   "source": [
    "The observed rates are 4.55 and 8.55 shares per 1,000 views. The mixed 4.27 belongs to neither source row. Separately, Anna Delvey's TikTok row reports zero shares, while the YouTube row has an unreported (`null`) share field. Different deliveries and reporting fields must keep their identities."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "be624c45",
   "metadata": {},
   "source": [
    "## Inspect the actual retention curve\n",
    "\n",
    "TikTok `@sweat_ai`, **“A factory worker spent sixty years as Princess Anastasia.”** Snapshot **17987**, captured **2026-10-17 12:29:52.441713 UTC**. Source normalized times were multiplied by the same row's 65.686-second runtime to obtain the 66 second-valued points below. The final supplied point is 65 seconds, before the runtime ends. No endpoint is invented."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "264e62bd",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-10-24T15:31:08.547966Z",
     "iopub.status.busy": "2026-10-24T15:31:08.547835Z",
     "iopub.status.idle": "2026-10-24T15:31:08.653050Z",
     "shell.execute_reply": "2026-10-24T15:31:08.652654Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1120x510 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{\n",
      "  \"snapshot_id\": 17987,\n",
      "  \"point_count\": 66,\n",
      "  \"at_four_seconds_percent\": 65.0,\n",
      "  \"last_reported_second\": 65.0,\n",
      "  \"last_point_percent\": 12.0,\n",
      "  \"runtime_seconds\": 65.686,\n",
      "  \"provider_completed_plays_percent\": 12.53,\n",
      "  \"curve_sample_size\": null\n",
      "}\n"
     ]
    }
   ],
   "source": [
    "retention = data[\"retention\"]\n",
    "points = retention[\"points_seconds\"]\n",
    "times = [point[\"second\"] for point in points]\n",
    "percent = [point[\"keep\"] * 100 for point in points]\n",
    "at_four = next(point for point in points if abs(point[\"second\"] - 4) < 1e-10)\n",
    "fig, ax = plt.subplots(figsize=(11.2, 5.1))\n",
    "fig.subplots_adjust(left=.10, right=.97, bottom=.24, top=.77)\n",
    "ax.plot(times, percent, color=\"#252525\", linewidth=2)\n",
    "ax.scatter([4], [at_four[\"keep\"] * 100], color=\"#f25a1a\", edgecolor=\"#171717\", linewidth=.7, s=65, zorder=4)\n",
    "ax.annotate(f'4 seconds: {at_four[\"keep\"]*100:.0f}%', xy=(4, at_four[\"keep\"] * 100),\n",
    "            xytext=(13, 79), fontsize=12, fontweight=\"bold\",\n",
    "            arrowprops={\"arrowstyle\":\"-\", \"color\":\"#555555\", \"linewidth\":1})\n",
    "ax.set_xlim(0, retention[\"duration_s\"])\n",
    "ax.set_ylim(0, 105)\n",
    "ax.set_xticks([0, 10, 20, 30, 40, 50, 60, 65])\n",
    "ax.set_yticks([0, 25, 50, 75, 100])\n",
    "ax.set_xlabel(\"Video time (seconds)\", labelpad=11)\n",
    "ax.set_ylabel(\"Provider-reported retention (%)\", labelpad=10)\n",
    "ax.set_axisbelow(True)\n",
    "ax.yaxis.grid(True, color=\"#e5e5e5\", linewidth=.7)\n",
    "fig.suptitle(\"Where the reported retention changes\", x=.10, y=.97,\n",
    "             ha=\"left\", fontsize=17, fontweight=\"bold\")\n",
    "fig.text(.10, .87, \"Anastasia · TikTok @sweat_ai · 66 original points · captured 17 Oct 2026\", fontsize=10.5, color=\"#555555\")\n",
    "fig.text(.10, .045, \"Source snapshot 17987. Curve sample size not supplied; 363 views is a separate counter.\\nA visible drop identifies a moment to inspect. It does not establish an editing cause.\", fontsize=10, color=\"#555555\", linespacing=1.5)\n",
    "plt.show()\n",
    "print(json.dumps(result[\"retention\"], indent=2))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f0586ada",
   "metadata": {},
   "source": [
    "The curve reports 65% at 4 seconds and 12% at the last supplied point (65 seconds). The source separately reports 12.53% completed plays. These are distinct fields and need not be equal: the final curve point is not the end of the runtime, and the source does not supply a curve denominator or an explanation of population differences.\n",
    "\n",
    "## Takeaways\n",
    "\n",
    "The UI needs room for **which question, which reading, and which denominator**. The real rows make those distinctions inspectable: seconds and runtime ratios can rank films differently, inputs from different timestamps can invent an unobserved rate, and missing is different from zero. The retention curve points to a moment worth examining, not an automatic explanation.\n",
    "\n",
    "Re-run `python reproduce.py` to validate the provided source subset and calculations. The JSON retains all 42 prepared eligible rows, public film links, original snapshot IDs, capture/publication timestamps, raw reported seconds, runtime provenance and explicit limitations. It does not include private raw history or establish a causal design-performance result."
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.0"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}