{
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   "source": [
    "# What Does a Kaggle Prize Pay?\n",
    "\n",
    "On 2 October 2006 Netflix opened a contest with a plain offer: a million dollars to whoever made its recommendation system, Cinematch, 10% more accurate. The rules added a \\$50,000 Progress Prize for every year the contest ran, and they said what a winner would owe besides the winning score: \"you must share your method with (and non-exclusively license it to) Netflix, and you must describe to the world how you did it and why it works.\" They also said why anyone might enter: \"So if you know (or want to learn) something about machine learning and recommendation systems, give it a shot.\"\n",
    "\n",
    "A year in, a team called KorBell won the first Progress Prize with an 8.43% improvement. Netflix later wrote that \"They reported more than 2000 hours of work in order to come up with the final combination of 107 algorithms that gave them this prize\", and it put two of those algorithms into production. The Grand Prize went on 21 September 2009 to BellKor's Pragmatic Chaos, whose 10.06% improvement had arrived \"just 24 minutes before the conclusion of the nearly three-year-long contest.\" By the end the leaderboard counted 51,051 contestants on 41,305 teams from 186 countries.\n",
    "\n",
    "Netflix did not put the million-dollar solution into production. In 2012 two of its engineers, Xavier Amatriain and Justin Basilico, wrote: \"We evaluated some of the new methods offline but the additional accuracy gains that we measured did not seem to justify the engineering effort needed to bring them into a production environment.\"\n",
    "\n",
    "Kaggle, founded in 2010, turned the prize contest into a platform. Its first competition asked for forecasts of the voting in the Eurovision Song Contest, and its chief executive Anthony Goldbloom recalled in 2017 that the winner \"beat 21 teams to win the \\$1000 prize\". In March 2017 Kaggle joined Google Cloud.\n",
    "\n",
    "Kaggle publishes a record of its competitions as Meta Kaggle, a dataset under the Apache 2.0 licence, updated daily, so that people can study it; in 2025 it ran a \\$50,000 Featured competition, the Meta Kaggle Hackathon, that asked for exactly that. This notebook is one such study, and it asks the question Netflix's million raises: what is an entry worth in cash? An entry is a lottery ticket paid for in hours instead of dollars. Here is the ticket's price, measured from Kaggle's record: the pot per entry, the chance that a team is paid, and the most the pot can pay for an hour of work. An entry also comes with a course on real data, medals and a public record; the notebook prices only the ticket, and the reader judges the course."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ee075fdd",
   "metadata": {},
   "source": [
    "## Kaggle's Record\n",
    "\n",
    "The data file holds one row per competition, all 12,485 in Meta Kaggle's `Competitions.csv` as downloaded on 11 October 2026, with or without cash, and the effort measured from its `Teams.csv` and `Submissions.csv` (below). A competition is *finished* if its deadline is before 11 October 2026 and it has competitors, and it is a *cash* competition if its reward is in US dollars and above zero."
   ]
  },
  {
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   "id": "510d6ddb",
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    "execution": {
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    {
     "name": "stdout",
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     "text": [
      "12,485 competitions, 10,222 finished: 649 paid cash in dollars,\n",
      "2 in euros or pounds, and 9,571 (93.6%) offered no cash\n",
      "                 finished  cash  no cash share with no cash\n",
      "segment                                                    \n",
      "Community            9539   191     9347              98.0%\n",
      "Featured              314   309        5               1.6%\n",
      "Research              185   142       42              22.7%\n",
      "Playground            160     4      156              97.5%\n",
      "Recruitment            17     2       15              88.2%\n",
      "Getting Started         6     0        6             100.0%\n",
      "Analytics               1     1        0               0.0%\n",
      "\n",
      "past the deadline, cash, no competitors on record: 41, 1,522,375 dollars\n",
      "cash pots under 100 dollars: 20, together 201 dollars; at 1 dollar: 11\n",
      "Community cash competitions: 191, 1,219,244 dollars, 33,991 entries\n"
     ]
    }
   ],
   "source": [
    "#| label: Kaggle's Record\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "\n",
    "df = pd.read_csv(\"data/kaggle_competitions.csv\", parse_dates=[\"deadline\"])\n",
    "done = (df[\"deadline\"] < \"2026-10-11\") & (df[\"competitors\"] > 0)\n",
    "usd = df[\"reward_type\"].eq(\"USD\") & (df[\"reward_usd\"] > 0)\n",
    "cash = done & usd\n",
    "other = done & df[\"reward_type\"].isin([\"EUR\", \"GBP\"])   # left out\n",
    "none = done & ~cash & ~other\n",
    "print(f\"{len(df):,} competitions, {done.sum():,} finished: {cash.sum()} \"\n",
    "      f\"paid cash in dollars,\\n{other.sum()} in euros or pounds, and \"\n",
    "      f\"{none.sum():,} ({none.sum() / done.sum():.1%}) offered no cash\")\n",
    "seg = pd.DataFrame({\"finished\": done, \"cash\": cash, \"no cash\": none})\n",
    "seg = seg.groupby(df[\"segment\"]).sum()\n",
    "seg[\"share with no cash\"] = (seg[\"no cash\"] / seg[\"finished\"]).map(\n",
    "    \"{:.1%}\".format)\n",
    "print(seg.sort_values(\"finished\", ascending=False).to_string())\n",
    "gone = ~done & usd & (df[\"deadline\"] < \"2026-10-11\")\n",
    "small = cash & (df[\"reward_usd\"] < 100)\n",
    "print(f\"\\npast the deadline, cash, no competitors on record: {gone.sum()},\"\n",
    "      f\" {df.loc[gone, 'reward_usd'].sum():,.0f} dollars\")\n",
    "print(f\"cash pots under 100 dollars: {small.sum()}, together \"\n",
    "      f\"{df.loc[small, 'reward_usd'].sum():,.0f} dollars; at 1 dollar: \"\n",
    "      f\"{(df.loc[small, 'reward_usd'] == 1).sum()}\")\n",
    "cm = cash & df[\"segment\"].eq(\"Community\")\n",
    "print(f\"Community cash competitions: {cm.sum()}, \"\n",
    "      f\"{df.loc[cm, 'reward_usd'].sum():,.0f} dollars, \"\n",
    "      f\"{df.loc[cm, 'competitors'].sum():,} entries\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a239c468",
   "metadata": {},
   "source": [
    "Of the 10,222 finished competitions, 9,571, or 93.6%, offered no cash prize: their stated reward is Knowledge, Kudos, Swag, Jobs or Prizes, or none at all. Most of them are Community competitions, which are 9,539 of the 10,222, and 98.0% of those pay no cash. The Featured competitions are the other way round, 309 of 314 with a cash prize, and so are three Research competitions in four. Money was never the main offer of most Kaggle competitions; in the Featured ones it is part of it.\n",
    "\n",
    "Three more choices, stated so they can be checked. The one competition paid in euros and the one paid in pounds are left out. Forty-one cash competitions whose deadlines have passed list no competitors at all, among them the NFL Big Data Bowls and Kaggle's annual survey challenges, with \\$1,522,375 between them; with no entries to divide by, they are left out too. And each pot is taken as stated: twenty Community competitions state pots under \\$100, eleven of them \\$1, which reads more like a placeholder than a prize; together they hold \\$201. A few other Community rows may be tests rather than contests, but all 191 Community cash competitions together hold \\$1.2 million of the \\$36.4 million and 33,991 of the 749,385 entries, so no choice about them moves the totals much."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6d2cb7a2",
   "metadata": {},
   "source": [
    "## The Ticket's Cash Value\n",
    "\n",
    "An *entry* is one person in one competition, so the same person in ten competitions is ten entries. Take a competition with a pot of $P$ dollars and $E$ entries. However the pot is split, the prizes $x_1, \\dots, x_E$ paid to the entries add up to $P$, so the average entry receives\n",
    "\n",
    "$$\\bar x = \\frac{1}{E}\\sum_{i=1}^{E} x_i = \\frac{P}{E}$$\n",
    "\n",
    "the cash value of an entry drawn at random. A team's chance of any prize is about $K/T$, with $K$ prize places and $T$ teams. Netflix's Grand Prize, priced this way, was worth \\$19.59 to each of its 51,051 contestants."
   ]
  },
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    {
     "name": "stdout",
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     "text": [
      "649 cash competitions, $36,432,739 in prizes\n",
      "749,385 entries in 628,198 teams; 2,087 prize places\n",
      "chance that a team is paid: 0.332%, 1 in 301\n",
      "pot per entry: $48.62 pooled, $24.39 in the median competition\n",
      "258 competitions with 1,000 entries or more: $39.24 pooled, $20.57 median\n",
      "Netflix Prize: $19.59 per contestant\n"
     ]
    }
   ],
   "source": [
    "#| label: The Ticket's Cash Value\n",
    "c = df[cash].copy()\n",
    "c[\"per_entry\"] = c[\"reward_usd\"] / c[\"competitors\"]\n",
    "P, E = c[\"reward_usd\"].sum(), c[\"competitors\"].sum()\n",
    "T, K = c[\"teams\"].sum(), c[\"num_prizes\"].sum()\n",
    "print(f\"{len(c)} cash competitions, ${P:,.0f} in prizes\")\n",
    "print(f\"{E:,} entries in {T:,} teams; {K:,} prize places\")\n",
    "print(f\"chance that a team is paid: {K / T:.3%}, 1 in {T / K:.0f}\")\n",
    "print(f\"pot per entry: ${P / E:.2f} pooled, \"\n",
    "      f\"${c['per_entry'].median():.2f} in the median competition\")\n",
    "big = c[c[\"competitors\"] >= 1000]\n",
    "print(f\"{len(big)} competitions with 1,000 entries or more: \"\n",
    "      f\"${big['reward_usd'].sum() / big['competitors'].sum():.2f} \"\n",
    "      f\"pooled, ${big['per_entry'].median():.2f} median\")\n",
    "print(f\"Netflix Prize: ${1_000_000 / 51_051:.2f} per contestant\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bc357b1e",
   "metadata": {},
   "source": [
    "Across the 649 cash competitions, \\$36.4 million was divided among 749,385 entries: \\$48.62 an entry, pooled. The median competition paid \\$24.39 an entry, and the 258 competitions with 1,000 entries or more paid \\$39.24 pooled and \\$20.57 at the median. The 2,087 prize places went to 628,198 teams: a team's chance of any prize was 0.33%, about 1 in 301.\n",
    "\n",
    "Five of these competitions were run by trading firms on market data, and the Meta Kaggle Hackathon asked for studies of this very record:"
   ]
  },
  {
   "cell_type": "code",
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   "id": "4586d282",
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   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                                 pot  entries  prizes  per entry  record\n",
      "Jane Street 2021             100,000    4,884       9      20.48  truncated\n",
      "G-Research Crypto 2022       125,000    2,398      10      52.13  truncated\n",
      "Optiver 2024                 100,000    4,374      10      22.86  truncated\n",
      "Jane Street 2025             120,000    3,643      10      32.94  truncated\n",
      "Hull Tactical 2026           100,000    4,096       6      24.41  truncated\n",
      "Meta Kaggle Hackathon 2025    50,000      148       1     337.84  none\n"
     ]
    }
   ],
   "source": [
    "#| label: Five Finance Competitions and the Hackathon\n",
    "FINANCE = [\"jane-street-market-prediction\", \"g-research-crypto-forecasting\",\n",
    "           \"optiver-trading-at-the-close\",\n",
    "           \"jane-street-real-time-market-data-forecasting\",\n",
    "           \"hull-tactical-market-prediction\"]\n",
    "NAMES = dict(zip(FINANCE + [\"meta-kaggle-hackathon\"], [\n",
    "    \"Jane Street 2021\", \"G-Research Crypto 2022\", \"Optiver 2024\",\n",
    "    \"Jane Street 2025\", \"Hull Tactical 2026\", \"Meta Kaggle Hackathon 2025\"]))\n",
    "f = c.set_index(\"slug\").loc[list(NAMES)]\n",
    "print(f\"{'':27}{'pot':>9}{'entries':>9}{'prizes':>8}{'per entry':>11}\"\n",
    "      f\"  record\")\n",
    "for s, r in f.iterrows():\n",
    "    print(f\"{NAMES[s]:27}{r['reward_usd']:9,.0f}{r['competitors']:9,}\"\n",
    "          f\"{r['num_prizes']:8}{r['per_entry']:11.2f}  {r['record']}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cb6fbfe6",
   "metadata": {},
   "source": [
    "The five finance competitions sit near the middle, between \\$20 and \\$52 an entry. The Meta Kaggle Hackathon paid \\$50,000 among 148 entrants, \\$337.84 an entry, fourteen times the median competition; it was judged by a panel on written reports, and its rules list six prizes in two tracks where the data's prize count says one.\n",
    "\n",
    "What a sponsor receives is written in each competition's rules, which Meta Kaggle also carries. Jane Street's 2025 rules list prizes from \\$50,000 for first place down to \\$5,000 for fourth to tenth, a \"WINNER LICENSE TYPE: Non-exclusive license\", and, \"As a condition to being awarded a Prize\", that the winner \"deliver to the Competition Sponsor the final model's software code as used to generate the winning Submission and associated documentation.\" The rules of Optiver's Trading at the Close carry the same two terms, and the Meta Kaggle Hackathon's winners license their work under CC BY 4.0. Netflix asked its winners for a non-exclusive licence too, in 2006.\n",
    "\n",
    "The same division priced a lottery ticket in an earlier notebook, [Is a Lottery Ticket Ever Worth Buying?](https://zamrik.com/notebooks/is-a-lottery-ticket-ever-worth-buying/). A Cash WinFall ticket on a roll-down draw was worth $c_0 + J/N$: the fixed prizes, plus the rolled-down jackpot $J$ shared among the $N$ tickets sold, however it was split between the prize tiers. It was worth buying whenever that came to more than the two dollars the ticket cost. A Kaggle entry's $P/E$ is the same expected value, with no fixed prizes, and its price is paid in hours."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d871644d",
   "metadata": {},
   "source": [
    "## Year by Year\n",
    "\n",
    "Each competition counts in the year of its deadline; 2026 runs to 10 October."
   ]
  },
  {
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    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "year  comps         pot  entries  pooled  median  without its 2 largest pots\n",
      "2010      6       3,217      573    5.61    6.32                        5.59\n",
      "2011     15      72,050    3,279   21.97   24.15                       18.07\n",
      "2012     32     557,130    7,038   79.16   57.10                       53.63\n",
      "2013     33   1,173,150   12,341   95.06   16.13                       40.19\n",
      "2014     23     725,180   13,924   52.08   24.81                       20.75\n",
      "2015     26     778,500   32,248   24.14   20.98                       17.68\n",
      "2016     22   1,060,000   36,639   28.93   21.06                       21.52\n",
      "2017     25   3,500,000   36,178   96.74   43.16                       28.39\n",
      "2018     31   2,272,500   58,296   38.98   18.94                       19.32\n",
      "2019     36   1,170,000   74,814   15.64   15.11                       13.36\n",
      "2020     28   1,951,000   61,854   31.54   19.45                       14.50\n",
      "2021     26   1,160,500   51,635   22.48   17.90                       21.14\n",
      "2022     32   1,678,000   62,875   26.69   24.66                       23.72\n",
      "2023     36   3,158,000   63,307   49.88   40.39                       32.49\n",
      "2024     39   3,941,422   67,168   58.68   26.32                       27.96\n",
      "2025    107   8,285,903   74,435  111.32   17.86                       69.40\n",
      "2026    132   4,946,187   92,781   53.31   26.03                       28.52\n",
      "\n",
      "2017, the largest pots:\n",
      "  Passenger Screening Algorithm Challenge       1,500,000   217  6,912 an entry\n",
      "  Data Science Bowl 2017                        1,000,000   742  1,348 an entry\n",
      "  The Nature Conservancy Fisheries Monitoring     150,000   554    271 an entry\n",
      "  Two Sigma Financial Modeling Challenge          100,000 2,317     43 an entry\n",
      "  Dstl Satellite Imagery Feature Detection        100,000   519    193 an entry\n",
      "  Google Cloud & YouTube-8M Video Understandin    100,000   821    122 an entry\n",
      "\n",
      "2025, the largest pots:\n",
      "  AI Mathematical Olympiad - Progress Prize 2   2,117,152 2,672    792 an entry\n",
      "  Konwinski Prize                               1,225,000   531  2,307 an entry\n",
      "  ARC Prize 2025                                1,000,000 1,684    594 an entry\n",
      "  OpenAI to Z Challenge                           500,000   309  1,618 an entry\n",
      "  Red‑Teaming Challenge - OpenAI gpt-oss-20b      500,000   778    643 an entry\n",
      "  Google DeepMind - Vibe Code with Gemini 3 Pr    500,000 4,862    103 an entry\n"
     ]
    }
   ],
   "source": [
    "#| label: Year by Year\n",
    "c[\"year\"] = c[\"deadline\"].dt.year\n",
    "yr = c.groupby(\"year\").agg(n=(\"slug\", \"size\"), pot=(\"reward_usd\", \"sum\"),\n",
    "                           entries=(\"competitors\", \"sum\"),\n",
    "                           median=(\"per_entry\", \"median\"))\n",
    "yr[\"pooled\"] = yr[\"pot\"] / yr[\"entries\"]\n",
    "top = c.sort_values([\"reward_usd\", \"slug\"], kind=\"stable\")\n",
    "top = top.groupby(\"year\").tail(2)        # each year's two largest pots\n",
    "rest = c.drop(top.index).groupby(\"year\")[[\"reward_usd\", \"competitors\"]].sum()\n",
    "yr[\"without top 2\"] = rest[\"reward_usd\"] / rest[\"competitors\"]\n",
    "print(f\"{'year':>4}{'comps':>7}{'pot':>12}{'entries':>9}{'pooled':>8}\"\n",
    "      f\"{'median':>8}{'without its 2 largest pots':>28}\")\n",
    "for y, r in yr.iterrows():\n",
    "    print(f\"{y:>4}{r['n']:7.0f}{r['pot']:12,.0f}{r['entries']:9,.0f}\"\n",
    "          f\"{r['pooled']:8.2f}{r['median']:8.2f}{r['without top 2']:28.2f}\")\n",
    "for y in (2017, 2025):\n",
    "    print(f\"\\n{y}, the largest pots:\")\n",
    "    for _, r in c[c[\"year\"] == y].nlargest(6, \"reward_usd\").iterrows():\n",
    "        print(f\"  {r['title'][:44]:45}{r['reward_usd']:10,.0f}\"\n",
    "              f\"{r['competitors']:6,}{r['per_entry']:7,.0f} an entry\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a8c1906a",
   "metadata": {},
   "source": [
    "From 2015 to 2026 the pooled pot per entry ranged from \\$15.64 (2019) to \\$111.32 (2025), while the median competition stayed between \\$15.11 and \\$43.16. The years that stand out are lifted by a few very large pots. In 2017 the Passenger Screening Algorithm Challenge put \\$1.5 million before 217 entries, \\$6,912 each, and the Data Science Bowl 2017 \\$1 million before 742; without those two, the year's \\$96.74 falls to \\$28.39. In 2025 the AI Mathematical Olympiad's Progress Prize 2 (\\$2.1 million) and the Konwinski Prize (\\$1.2 million among 531 entries) lift it from \\$69.40 to \\$111.32, and below them sit the ARC Prize 2025's \\$1 million and three pots of \\$500,000. Figure 1 draws the years."
   ]
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    {
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fAAAAAAAAYscyjgAAAMB/SOpUqYzt27fvxDju6+urFcuX6IOuneMdtJIU67KGCZHU4z/z4MFDbdm6TePGTVC3D3uqbLmKKh5YWqNGjTZ+sW1ra6tBgwbIy8vL7NzUqVMb20E3gxJ1XqY8TcZ5Ea5xLF0X1y/rJZlVWrKxNf/nZWK9D8+W8XtRLs+F0BJbWNgDnTp1Wn/88aeqVa+lixcvSpKqV6uqTp3ej9E+lUf08qm3bt2K1xim7Uw/w8+YLrtYtmx0ha5nyzru2rXbuJ+bn7YtWSJQtk/vWcGCBYzA5ObNW+M1p1ela9fO+vTTTyQ9DXp1/iDOymwhoSHGdnzvt2k1oRCTiodJwcHBQY0aNjD2p02fnnSTSQKmoVFJcnGJu9KT2f0LiXn/TJ8J53j0F6PP556J0JCXe8ZMz0+okJccO+S5sUNN3q/49xcd9nr+Wl7F/QMAAAAAAEDsqOwFAAAA/EfY2Ngob948xv6zUIqp0T+PUObMfpKkCxcu6I+Jf2nbtu26cOGi7t27qwcPogNAI0cMU7NmTRJ1jkk9fmwuXryoHwcO1tq16zRz5jTZ2dnJxcVFTZs21rhxE17bPJ5JYZfC2L58+Yp+/e331z6H18EuRfQ/W5csWartO3Ym6PxjJlWwXrWbN29q9JhxGvjjD5KkTh3ffy3PxqaNm/XJxx9JiqrmNXXqdLm4uCigUNSygKbLMm7avFkdOrwrDw8PFSjgr3379qusydKjmzYn3RKOnTt31FdffiEpaqm8rl0/1JKly+I878aN6DBhypQp5ebmpntWKhc+k8HHx9gOunHjBWecOGrVqiFPz6hw5O3bd7R48dIknc/r9ujRI925E2xUKvTx8bEYRjblkyG9sR0UFPP+3bge/ZrpvY61T5/oPm8890xcN9n3iWd/puOaPqMJdSOBY7u7u5uFeZ8f+/qN6yb9pVd8mF1LkHl/r+L+AQAAAAAAIHaEvQAAAID/CH///GbLHW7Zus3seIEC/ipRIlCSdP78eVWrXlt379612p+7u1uizi+px4+vLVu3acWKlapVq6YkGYGaZ27fvm1se6Uxr/qVmEzHefDggcaP/+WVjfUiEut9MO1n3779b9x1Pm/nzl3Gdrp03sqaNYvOnDlrvHYnONjYTh3P6myentFLUd6+cyfG8d179igsLEzOzs4qXTqqslfJEoHGcnOmlb+2bNmmyMhIpUiRQmXLltG+ffuN5R4l82DY69S5c0d93e9LSVJERIS6ftBdixYvide5d+/e1ZUrV43gSrasWbVv//5Yz8mSNbOxndTLVpou4Thn7t/xqqr3b3P8xAkFFi8mScqaNasOHz4Sa/ssWbIY28eOnYjZ3/Ho17JmzRrn+J6eqeXxtOpeRESETp06bXb81KnTxucmVSoPeXqm1q1bty11ZXmOx1/8GTt+/ITx/SZrtiyxN5aU1WTcS5cvx6jsZfreZPbzk42NjVmVRkvM3++Y15LY9w8AAAAAAACxYxlHAAAA4D+iXbu3je27d+9qz569ZseLFClsbE+fPjPWoJUk5c6dO1Hnl9TjJ8SJEyeN7edDZ6a/uA4obB4ES0wXL17S/fv3JUl+fpniXJbxdbtw4aJCny6Flj59unhXkHme6XudL1++RJnbqxQWFma2nyZNGrN90+CXv3/+OPtzc3Mzqt1FRETo3LnzMdqEh4cbFc/Sp0+nHDmyq3SZqNBXaGiodu/eY7QNDg7WoUOHJUVVAbOzs1PxpyGNq1evxQi5vA5dunQyC3p90K2HFi5clKA+Dhw8aGw/u57YlAgMNLYPHjyUoLESU6ZMmVS2TPTSm9Om/beWcHzmwIEDxnZgfO5fCdP7dzDG8QMHol8rWrRI3P2ZPA/Hj5/Qo0ePzI4/fPjQLCQV1zNmY2OjYsWKmszxxZ8x02uJ17Ndonis4549e07BT0On7u7uZhU/LUmVykO5cuWUJEVGRurw4cMW5pi49w8AAAAAAACxI+wFAAAA/AcEBBRSk8aNjP0//vhT4eHhZm1SPa1qIlmuHmQqf/58ypo1S5zjhodHGNu2trH/8+NVjP+qeKWNrlR167Z5dZcNGzca23Xr1JaLi8srmUN4eLi2Pq3OZmdnp7feqvtKxnlRkZGRxvwkqXmzpi/Uz4aNm/T48WNJUqVKFYzqO2+qjBkzmu0H3wk229+xY4exXbNmjTg/F3Xq1DLaHDp0OEaY7JnNJhW5ypQpbVTr2r59hyIiIszaPluqMTCwuIoXL2YEBTcnwRKOXbt2Vr+v+kqKCnp92L2n5s9fkOB+li1bbmzXq1cn1rbZsmU1Ai5hYWFas3ZdgsdLLC1aNDXu7969++KsiPRvtWzZCmO7du2asX4u3N3dVb5cWWN/8ZKYS33uP3BAly5flhRVtaucSXtL6tatbWxbWzrU7BmrG/szVq5cWaVOnUpS1JLEpoGthFqzdp3Cwh5IkvLny6ds2WKvVFbHZG5LlsRcEvTJkydauXKVsR/XtdSpXdu4H9u377BY0Syx7x8AAAAAAABiR9gLAAAA+JfLnz+ffv/tFzk6OkqSbt68qfETYi6Fd/v2HWO7YMECVvuzsbHR1/2+itfY9+7dM7ZTp0oVa9tXMX58FCpYUKlSxT9AlMbTUzVr1DD29+zea3Z879592rcvagk5Dw8Po2LRq/D7/yYa25983Fve3t6vbKwXMfHPScb2Bx90eaGA3vXr17Vw4WJJUVWuvvkm8e79q9CgwVvG9t27d3X23Dmz4xs3btalS5ckSRkzZNC77d+x2pezs7N69exu7M+YOctqW9OlGmvVqmlUDTN93XQOkuTq6qoPu3W12Mfr0LVrZ3315ReSooNe8+bNf6G+lixZalSSCwwsrrJly1ht+1GvHkYYZdGiJVYDdK+ajY2NWQhy2rQZSTKPN8HmzVuMz4Wvr6+aN7ceDu3SuaMRot22bbsuXLhgsd3cOX8b26afo+flyplTdZ8GniIiIjR37t8W282dO0+RkZGSpLp16yhnjhwW29nY2JiNN3v2XKtjx8f9+/e1dFlUIMrW1la9evaw2rZcubJGZa179+5p6dLlFtuZzqlt2zYxKhA+4+TkqC5dOhn7s2bPsdjuVdw/AAAAAAAAWEfYCwAAAPiXypgxg774/FMtXDBPGTL4SJLCwh6o3Tvv6c5z1YYkaeu27cZ20yaNVbVqlRht3N3dNW7caJUrV8aothSbU6dOGdulTZYqs+RVjB8fderW1o7tW9S//7dmS0lakidPbk2bPlmenqklRYV55v0TM5zy3fc/GKGAtm3baNDAAXJzc4vRTopaIqtr187y8vKyeDw2q1evMSq0+Pik1z/z5pgtR/Y8Ozs7VapYQRMn/q7atWomeLyEWrlylTZs2CRJSpkypebOmaXSTytOWVKyRKCaNWsS4/UfBw4ylvVs0byZRv88wmo4QYpaOrF9+3ZasWLJS15BwnR47121aN7M2J89Z26MCnqRkZEaMeJnY/+rr75Qo4YNYvTl6Zlaf078n/z8opZwPH/+vKZPn2l17L179ykkJESSVKF8OdnZ2UmSNm7cFKPttm3bjXlVqlTReH3TptcX9no+6NW9R68XDnpJUWHRseMmGPs/jxqhfPnyWhy38dMqhw8fPtTgn4a+8Jgvq1LFCkYluPv372vu3/MS3EezZk105fJ5Xbl8Xtu3xbzXb4IRw4cacxwx3PL7HRkZqUGDo499+00/lbHwPaNhw/rqZhJQ/GHAQKvjjhk73ggRlypVUt9//22MilO+GTPq11/Hy8HBQZI0Y8YsnT59xmJ/J06eNMJOjo6O+u23CfJ9rpKfra2tvv/+G5UsWUJSVLh63PiY4epn4nv/fvppqLG0ZJMmjcwCWM/ky5dXo0YOj77+MeOM5Rqft3bdem16Wg3Q09NTv/82IUbo2cnJUaN/Hqns2bNFXf+JE5o5c7bF/l7F/QMAAAAAAIB1dkk9AQAAAAAvpv5b9VSoUEFj38HeXm7u7vJOm1YBAYWUI0d2s19sX7hwQT169tauXbst9nf8+HEtW75CNapXk52dnSb99Yc2bNikffv3KzQkRFmzZlW1alWVOnUqHT16TCdPnjJb+sqSlatWq1GjhpKkoUMGqVSpEjp75qzCny4rF3IvxPjl+asYP75Spkyp995tr/feba8bN25oz959OnXqlO7cviMbGxul9U6rwgEBCggoZLynkZGR+uzzvgoKCorR3+bNW/T99z/om2/6SYoKfNWvX09r163XyZOn9PDBQ3l5pZG/f34VL15M9vb2mj9/4QvNvesH3TVnzgwV8PdXliyZNW/ebB08dEjbtm3Xjes3ZGNjo1SpUil37lwKCAgwfqE/a5blCi2JrUvXbpr/z1xly5ZV6dOn05zZM7R//wFt3bpNQUE35ejkqKxZMqtEyRLKmCGDZsyYFSNQcPbsOXXu/IF+//0XOTs7q3HjRqpdu7Y2b96sQ4cO6+69e3JxcVY673Ty988vf//8SpEihVHpKTFkyJBBnTt3jPG6k6OjMmbMqHLlyipzZj/j9ZMnT2rwYMvBlslTpqp8+XKqV6+OHBwcNGbMKL3//nvasHGTQkNClCVrFtWsUcO4V2FhYfqgW49YK1BFRkZq+/Ydqly5kvFacHCwxeXjQkNDtX//ARUtWsR47dKlSzr3XBWyV6Vhw/pG0EuSdu3arXTp0ll8f5+3evVaHT9+3OKxMWPGqXy5sipRIlDp06fTksULtHz5Sh0+ckQuLi6qWLG8/PPnN9p/9dU3cVYV+vWX8TFeMw0afvLxR7p585bZ8fkLFmrBgrg/zy1btjC2FyxYZIT1ktqPA/rHCJ/mzp3L2G7/TjtVq1rV7PimzZs1ceJfLzXurFmzVaVKJdV/q57c3Nw0c8ZUrV27Tnv27pNdihQqWbKESpSIDrP+/PMY7dix02p/wcHB6vVRb/326wTZ2dmpw3vtVaVyJS1btlzBwcHKnj27ateuaVSZOnbsuL7vPyDWOX73XX8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",
      "text/plain": [
       "<Figure size 1240x620 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 602,
       "width": 1213
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#| echo: false\n",
    "#| fig-cap: The pot per entry in Kaggle's cash competitions, by the year of the deadline (2026 to 10 October). Coral, pooled (all prize money in the year over all its entries); teal, the median competition. The labels name the largest pots of the three highest years.\n",
    "import matplotlib.pyplot as plt\n",
    "TEAL, CORAL, GREY = \"#2a9d8f\", \"#e76f51\", \"#8a94a6\"\n",
    "SKY, AMBER, BG = \"#8ecae6\", \"#e9c46a\", \"#18191d\"\n",
    "plt.style.use(\"dark_background\")\n",
    "plt.rcParams[\"font.size\"] = 12\n",
    "\n",
    "def tidy(fig, ax):\n",
    "    ax.set_facecolor(BG)\n",
    "    fig.patch.set_facecolor(BG)\n",
    "    for s in (\"top\", \"right\"):\n",
    "        ax.spines[s].set_visible(False)\n",
    "\n",
    "fig, ax = plt.subplots(figsize=(12.4, 6.2))\n",
    "ax.plot(yr.index, yr[\"pooled\"], color=CORAL, lw=3.2, marker=\"o\", ms=9,\n",
    "        mec=\"white\", mew=1.2, zorder=4)\n",
    "ax.plot(yr.index, yr[\"median\"], color=TEAL, lw=3.2, marker=\"o\", ms=9,\n",
    "        mec=\"white\", mew=1.2, zorder=4)\n",
    "ax.text(2026.25, yr[\"pooled\"].iloc[-1], \"pooled\", color=CORAL,\n",
    "        fontweight=\"bold\", fontsize=13, va=\"center\")\n",
    "ax.text(2026.25, yr[\"median\"].iloc[-1], \"median\\ncompetition\", color=TEAL,\n",
    "        fontweight=\"bold\", fontsize=13, va=\"center\")\n",
    "SHORT = {\"hhp\": \"Heritage Health Prize\", \"flight\": \"GE Flight Quest\",\n",
    "         \"flight2-milestone\": \"Flight Quest 2, milestone\",\n",
    "         \"passenger-screening-algorithm-challenge\": \"Passenger Screening\",\n",
    "         \"data-science-bowl-2017\": \"Data Science Bowl 2017\",\n",
    "         \"ai-mathematical-olympiad-progress-prize-2\": \"AI Math Olympiad 2\",\n",
    "         \"konwinski-prize\": \"Konwinski Prize\"}\n",
    "LABEL = {2013: (2010.2, 126, [\"hhp\", \"flight\", \"flight2-milestone\"]),\n",
    "         2017: (2014.5, 143, [\"passenger-screening-algorithm-challenge\",\n",
    "                              \"data-science-bowl-2017\"]),\n",
    "         2025: (2019.3, 131, [\"ai-mathematical-olympiad-progress-prize-2\",\n",
    "                              \"konwinski-prize\"])}\n",
    "pots = c.set_index(\"slug\")[\"reward_usd\"]\n",
    "for y, (tx, ty, slugs) in LABEL.items():\n",
    "    ax.annotate(\"\\n\".join(f\"{SHORT[s]}, {pots[s]:,.0f}\" for s in slugs),\n",
    "                (y, yr.loc[y, \"pooled\"]), xytext=(tx, ty), color=\"white\",\n",
    "                fontsize=11.5, ha=\"left\", va=\"top\",\n",
    "                arrowprops=dict(arrowstyle=\"-\", color=GREY, lw=1.4))\n",
    "ax.set_xlim(2009.5, 2027.6)\n",
    "ax.set_ylim(0, 150)\n",
    "ax.set_xticks(range(2010, 2027, 2))\n",
    "ax.set_ylabel(\"prize dollars per entry\")\n",
    "tidy(fig, ax)\n",
    "fig.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "90a0a944",
   "metadata": {},
   "source": [
    "## Across the Competitions\n",
    "\n",
    "The pooled numbers weigh each competition by its entries. One competition at a time, the pot per entry spreads over six orders of magnitude, from under a cent, where a \\$1 pot met 139 entrants, to \\$30,000 in the AI Mathematical Olympiad's Proof Pilot, where seven competitors entered for \\$210,000. A quarter of the competitions paid under \\$9.89 an entry, a quarter over \\$51.92, and Figure 2 shows where the finance competitions and the Hackathon fall."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "24406421",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-10-12T00:58:25.867717Z",
     "iopub.status.busy": "2026-10-12T00:58:25.867555Z",
     "iopub.status.idle": "2026-10-12T00:58:25.871478Z",
     "shell.execute_reply": "2026-10-12T00:58:25.871143Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "pot per entry in the 649 competitions, dollars, by percentile:\n",
      "10%: 3.75  25%: 9.89  50%: 24.39  75%: 51.92  90%: 144.03\n",
      "under 1 dollar: 27, over 1,000: 13\n",
      "lowest: 0.0072 an entry, 1 dollar among 139 (Community)\n",
      "highest: 30,000 an entry, 210,000 dollars among 7,\n",
      "  AI Mathematical Olympiad - Proof Pilot\n"
     ]
    }
   ],
   "source": [
    "#| label: Across the Competitions\n",
    "q = c[\"per_entry\"].quantile([0.1, 0.25, 0.5, 0.75, 0.9])\n",
    "print(\"pot per entry in the 649 competitions, dollars, by percentile:\")\n",
    "print(\"  \".join(f\"{k:.0%}: {v:,.2f}\" for k, v in q.items()))\n",
    "print(f\"under 1 dollar: {(c['per_entry'] < 1).sum()}, \"\n",
    "      f\"over 1,000: {(c['per_entry'] > 1000).sum()}\")\n",
    "lo, hi = c.loc[c[\"per_entry\"].idxmin()], c.loc[c[\"per_entry\"].idxmax()]\n",
    "print(f\"lowest: {lo['per_entry']:.4f} an entry, {lo['reward_usd']:,.0f} \"\n",
    "      f\"dollar among {lo['competitors']} ({lo['segment']})\")\n",
    "print(f\"highest: {hi['per_entry']:,.0f} an entry, {hi['reward_usd']:,.0f} \"\n",
    "      f\"dollars among {hi['competitors']},\\n  {hi['title']}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "c5021ff1",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-10-12T00:58:25.872463Z",
     "iopub.status.busy": "2026-10-12T00:58:25.872381Z",
     "iopub.status.idle": "2026-10-12T00:58:26.001833Z",
     "shell.execute_reply": "2026-10-12T00:58:26.001318Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1240x600 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 580,
       "width": 1222
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#| echo: false\n",
    "#| fig-cap: The pot per entry in each of the 649 cash competitions (log-scaled dollar axis). The amber lines mark the five finance competitions, close to the median competition's 24.39 dollars; the sky-blue line marks the Meta Kaggle Hackathon.\n",
    "fig, ax = plt.subplots(figsize=(12.4, 6.0))\n",
    "bins = np.geomspace(0.005, 50000, 50)\n",
    "n, _, _ = ax.hist(c[\"per_entry\"], bins=bins, color=GREY, zorder=3)\n",
    "ax.set_xscale(\"log\")\n",
    "top = n.max()\n",
    "fin = f.loc[FINANCE].sort_values(\"per_entry\")\n",
    "for k, (s, r) in enumerate(fin.iterrows()):   # lines behind the bars\n",
    "    x, y = r[\"per_entry\"], top * (1.12 + 0.14 * k)\n",
    "    ax.plot([x, x], [0, y], color=AMBER, lw=3.2, zorder=2)\n",
    "    ax.plot([2.2, x], [y, y], color=AMBER, lw=1.2, zorder=2)\n",
    "    ax.text(2.0, y, f\"{NAMES[s]}  {x:.2f}\", color=AMBER, ha=\"right\",\n",
    "            fontweight=\"bold\", fontsize=12, va=\"center\")\n",
    "x = f.loc[\"meta-kaggle-hackathon\", \"per_entry\"]\n",
    "ax.plot([x, x], [0, top * 1.4], color=SKY, lw=3.2, zorder=2)\n",
    "ax.text(x * 1.15, top * 1.4, f\"{NAMES['meta-kaggle-hackathon']}\\n{x:.2f}\",\n",
    "        color=SKY, fontweight=\"bold\", fontsize=12, va=\"center\")\n",
    "ax.set_ylim(0, top * 1.85)\n",
    "ticks = [0.01, 0.1, 1, 10, 100, 1000, 10000]\n",
    "ax.set_xticks(ticks)\n",
    "ax.set_xticklabels([\"0.01\", \"0.1\", \"1\", \"10\", \"100\", \"1,000\", \"10,000\"])\n",
    "ax.minorticks_off()\n",
    "ax.set_xlabel(\"prize dollars per entry (log scale)\")\n",
    "ax.set_ylabel(\"competitions\")\n",
    "tidy(fig, ax)\n",
    "fig.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "703a53a0",
   "metadata": {},
   "source": [
    "## Days of Work\n",
    "\n",
    "Kaggle's record has no hours in it, but it dates every submission. For each entry, one submitting person in one competition (a submission with no person on it counts for its team), the derivation behind the data file counted the distinct days with a submission before the deadline, the entry's *active days*, and the span from its first submission to its last, and wrote only per-competition totals and counts, with no person in them.\n",
    "\n",
    "Meta Kaggle says of itself that it \"is not a complete dump of our database. Rows, columns, and tables have been filtered out and transformed\", and for this question the record has two gaps, both measured. In 38 competitions with \\$8,757,980 in prizes, the record shows a single active day for nearly every entry (1.05 days an entry or fewer): 32 of them are code competitions, all five finance ones among them, and their records keep one submission row per entry, so the effort is cut off. Another 200 cash competitions, with \\$3,672,744, have no submission rows at all. Both groups are left out of the measured rate, which rests on the 411 competitions whose records are complete.\n",
    "\n",
    "Every gap flatters the prize. Days of work without a submission are not counted, and neither are teammates who never pressed submit: the 411 competitions list 632,065 competitors and 607,092 submitting entries. So the measured days are a lower bound on the work, and every hourly rate below is a ceiling."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "5ad1e11d",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-10-12T00:58:26.002856Z",
     "iopub.status.busy": "2026-10-12T00:58:26.002771Z",
     "iopub.status.idle": "2026-10-12T00:58:26.007539Z",
     "shell.execute_reply": "2026-10-12T00:58:26.007172Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "           competitions prize_dollars  code_competitions\n",
      "record                                                  \n",
      "complete            411    24,002,015                120\n",
      "none                200     3,672,744                  1\n",
      "truncated            38     8,757,980                 32\n"
     ]
    }
   ],
   "source": [
    "#| label: Days of Work\n",
    "rec = c.groupby(\"record\").agg(competitions=(\"slug\", \"size\"),\n",
    "                               prize_dollars=(\"reward_usd\", \"sum\"),\n",
    "                               code_competitions=(\"code_competition\", \"sum\"))\n",
    "print(rec.to_string(formatters={\"prize_dollars\": \"{:,.0f}\".format}))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "5e7f1636",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-10-12T00:58:26.008505Z",
     "iopub.status.busy": "2026-10-12T00:58:26.008428Z",
     "iopub.status.idle": "2026-10-12T00:58:26.011864Z",
     "shell.execute_reply": "2026-10-12T00:58:26.011511Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "411 competitions with complete records, $24,002,015:\n",
      "607,092 submitting entries of 632,065 competitors, 3,941,704 active entry-days\n",
      "active days per entry: median 3, mean 6.49\n"
     ]
    }
   ],
   "source": [
    "#| label: Active Days per Entry\n",
    "m = c[c[\"record\"] == \"complete\"]\n",
    "D, n_e = int(m[\"active_days\"].sum()), int(m[\"submitting_entries\"].sum())\n",
    "print(f\"{len(m)} competitions with complete records, \"\n",
    "      f\"${m['reward_usd'].sum():,.0f}:\\n{n_e:,} submitting entries of \"\n",
    "      f\"{m['competitors'].sum():,} competitors, {D:,} active entry-days\")\n",
    "BINS = [\"1\", \"2\", \"3\", \"4\", \"5 to 9\", \"10 to 29\", \"30 or more\"]\n",
    "k = [\"1d\", \"2d\", \"3d\", \"4d\", \"5to9d\", \"10to29d\", \"30d_plus\"]\n",
    "entries = np.array([m[f\"entries_{x}\"].sum() for x in k], dtype=int)\n",
    "days = np.array([(i + 1) * entries[i] for i in range(4)]\n",
    "                + [m[f\"days_{x}\"].sum() for x in k[4:]], dtype=int)\n",
    "assert entries.sum() == n_e and days.sum() == D\n",
    "mid = BINS[np.searchsorted(entries.cumsum(), n_e / 2)]\n",
    "print(f\"active days per entry: median {mid}, mean {D / n_e:.2f}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "dc3ecddd",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-10-12T00:58:26.012787Z",
     "iopub.status.busy": "2026-10-12T00:58:26.012711Z",
     "iopub.status.idle": "2026-10-12T00:58:26.015014Z",
     "shell.execute_reply": "2026-10-12T00:58:26.014744Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " active days   entries   share  their days   share\n",
      "           1   183,641   30.2%     183,641    4.7%\n",
      "           2    95,702   15.8%     191,404    4.9%\n",
      "           3    57,199    9.4%     171,597    4.4%\n",
      "           4    41,597    6.9%     166,388    4.2%\n",
      "      5 to 9   110,371   18.2%     728,926   18.5%\n",
      "    10 to 29    97,186   16.0%   1,572,073   39.9%\n",
      "  30 or more    21,396    3.5%     927,675   23.5%\n",
      "10 days or more: 19.5% of entries, 63.4% of the days\n",
      "30 days or more: 3.5% of entries, 23.5% of the days\n",
      "prize-winning entries: 2,900, 21.9 active days each, 1.6% of all the days\n"
     ]
    }
   ],
   "source": [
    "#| label: Where the Days Go\n",
    "print(f\"{'active days':>12}{'entries':>10}{'share':>8}{'their days':>12}\"\n",
    "      f\"{'share':>8}\")\n",
    "for b, e, d in zip(BINS, entries, days):\n",
    "    print(f\"{b:>12}{e:10,}{e / n_e:8.1%}{d:12,}{d / D:8.1%}\")\n",
    "for i, lo in ((5, 10), (6, 30)):\n",
    "    print(f\"{lo} days or more: {entries[i:].sum() / n_e:.1%} of entries, \"\n",
    "          f\"{days[i:].sum() / D:.1%} of the days\")\n",
    "Dp = int(m[\"prize_active_days\"].sum())\n",
    "n_p = int(m[\"prize_entries\"].sum())\n",
    "print(f\"prize-winning entries: {n_p:,}, {Dp / n_p:.1f} active days each, \"\n",
    "      f\"{Dp / D:.1%} of all the days\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "affc2962",
   "metadata": {},
   "source": [
    "In the 411 competitions with complete records, 607,092 entries submitted on 3,941,704 entry-days: the median entry was active on 3 days and the mean on 6.49. Most of the work is done by a few. The 19.5% of entries active on ten days or more put in 63.4% of all the active days, and the 3.5% active on thirty or more put in 23.5%. The 2,900 prize-winning entries averaged 21.9 active days each, and together they put in 1.6% of the days. Figure 3 shows the split."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "1cfbcf85",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-10-12T00:58:26.015900Z",
     "iopub.status.busy": "2026-10-12T00:58:26.015824Z",
     "iopub.status.idle": "2026-10-12T00:58:26.121925Z",
     "shell.execute_reply": "2026-10-12T00:58:26.121402Z"
    }
   },
   "outputs": [
    {
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      "text/plain": [
       "<Figure size 1240x580 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 560,
       "width": 1222
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#| echo: false\n",
    "#| fig-cap: The 607,092 submitting entries of the 411 competitions with complete records, by the number of days on which each entry submitted. Teal, the share of entries; amber, the share of all 3,941,704 active entry-days that those entries put in.\n",
    "fig, ax = plt.subplots(figsize=(12.4, 5.8))\n",
    "x = np.arange(len(BINS))\n",
    "for dx, v, col in ((-0.2, entries / n_e, TEAL), (0.2, days / D, AMBER)):\n",
    "    ax.bar(x + dx, 100 * v, width=0.4, color=col)\n",
    "    for xi, vi in zip(x + dx, v):\n",
    "        ax.text(xi, 100 * vi + 0.8, f\"{vi:.0%}\", color=col, ha=\"center\",\n",
    "                fontweight=\"bold\", fontsize=12.5)\n",
    "ax.text(1.7, 33, \"share of entries\", color=TEAL, fontweight=\"bold\",\n",
    "        fontsize=14)\n",
    "ax.text(1.7, 29, \"share of the active days\", color=AMBER,\n",
    "        fontweight=\"bold\", fontsize=14)\n",
    "ax.set_xticks(x)\n",
    "ax.set_xticklabels(BINS)\n",
    "ax.set_xlabel(\"days on which the entry submitted\")\n",
    "ax.set_ylabel(\"percent\")\n",
    "ax.set_ylim(0, 40)\n",
    "tidy(fig, ax)\n",
    "fig.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1d763877",
   "metadata": {},
   "source": [
    "## The Price of an Hour\n",
    "\n",
    "With $D$ measured active entry-days and $h$ hours of work behind each, the pot pays\n",
    "\n",
    "$$r(h) = \\frac{P}{D\\,h}$$\n",
    "\n",
    "dollars an hour. It is a ceiling twice over. $D$ is a lower bound on the days, and $r$ is the rate only if every hour were paid the same, which no contest does: the mean payout per entry is $P/E$, but the median is zero whenever fewer than half the entries are paid, and here 0.48% of the submitting entries were.\n",
    "\n",
    "One assumption is left, the hours of work behind an active day. We bracket it at 2 to 4 hours, with 3 in the middle; the bracket is ours. The published accounts we could read point higher, and more hours would only lower every rate here. A Kaggle gold medallist \"spent about four to five hours a day preparing for the competition\", in his employer's news story of 2023. A survey of the participants of 80 biomedical imaging challenges, held with two conferences in 2021, found that \"a median of 80 working hours was spent on method development\", where the median entry here was active on 3 days. And Netflix's first Progress Prize winners reported more than 2,000 hours for their \\$50,000."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "f8d23836",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-10-12T00:58:26.122922Z",
     "iopub.status.busy": "2026-10-12T00:58:26.122837Z",
     "iopub.status.idle": "2026-10-12T00:58:26.125097Z",
     "shell.execute_reply": "2026-10-12T00:58:26.124831Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "$6.09 per active entry-day; $2.12 per day of span\n",
      "  at 2 hours an active day: $3.04 an hour\n",
      "  at 3 hours an active day: $2.03 an hour\n",
      "  at 4 hours an active day: $1.52 an hour\n",
      "prize-winning entries: $378 per active day, $47 an hour at 8 hours a day\n",
      "share of submitting entries paid: 0.48%\n"
     ]
    }
   ],
   "source": [
    "#| label: The Price of an Hour\n",
    "Pm = m[\"reward_usd\"].sum()\n",
    "print(f\"${Pm / D:.2f} per active entry-day; \"\n",
    "      f\"${Pm / m['span_days'].sum():.2f} per day of span\")\n",
    "for h in (2, 3, 4):\n",
    "    print(f\"  at {h} hours an active day: ${Pm / (D * h):.2f} an hour\")\n",
    "print(f\"prize-winning entries: ${Pm / Dp:.0f} per active day, \"\n",
    "      f\"${Pm / (Dp * 8):.0f} an hour at 8 hours a day\")\n",
    "print(f\"share of submitting entries paid: {n_p / n_e:.2%}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a38f37d1",
   "metadata": {},
   "source": [
    "The 411 competitions paid \\$24.0 million for 3.94 million recorded active entry-days: at most \\$6.09 an active day. At 2, 3 and 4 hours a day that is \\$3.04, \\$2.03 and \\$1.52 an hour. Counted by calendar days, from each entry's first submission to its last, it is \\$2.12 a day. For the prize-winning entries alone, the same pot comes to \\$378 an active day, and even at 8 hours a day, \\$47 an hour.\n",
    "\n",
    "## Your Own Hours\n",
    "\n",
    "Set the knob to the hours you would put behind each day on which you submit. The cell prints the ceiling for the 411 competitions and for their prize winners, the table for other hours, and an estimate for the five finance competitions, whose truncated records cannot measure their days: each of their entrants is given the average effort measured where the record is complete, 6.49 active days, so their rates are estimates, not measurements. For scale only, since an entry is not a job, the US federal minimum wage is \\$7.25 an hour."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "dff1baa3",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-10-12T00:58:26.126091Z",
     "iopub.status.busy": "2026-10-12T00:58:26.126003Z",
     "iopub.status.idle": "2026-10-12T00:58:26.129058Z",
     "shell.execute_reply": "2026-10-12T00:58:26.128676Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "at 3 hours per active day, the most the pot pays is $2.03 an hour;\n",
      "for the prize-winning entries, $126.01 an hour\n",
      "\n",
      " hours a day  all entries  prize winners\n",
      "           1         6.09         378.04\n",
      "           2         3.04         189.02\n",
      "           3         2.03         126.01\n",
      "           4         1.52          94.51\n",
      "           6         1.01          63.01\n",
      "           8         0.76          47.25\n",
      "\n",
      "finance competitions, estimated at 6.49 active days an entry, 3 hours a day:\n",
      "  Jane Street 2021        $1.05 an hour (estimate)\n",
      "  G-Research Crypto 2022  $2.68 an hour (estimate)\n",
      "  Optiver 2024            $1.17 an hour (estimate)\n",
      "  Jane Street 2025        $1.69 an hour (estimate)\n",
      "  Hull Tactical 2026      $1.25 an hour (estimate)\n"
     ]
    }
   ],
   "source": [
    "#| label: Your Own Hours\n",
    "HOURS_PER_ACTIVE_DAY = 3     # hours of work behind each day with a submission\n",
    "\n",
    "h = HOURS_PER_ACTIVE_DAY\n",
    "per = D / n_e                # 6.49 active days per entry, complete records\n",
    "print(f\"at {h} hours per active day, the most the pot pays is \"\n",
    "      f\"${Pm / (D * h):.2f} an hour;\\nfor the prize-winning entries, \"\n",
    "      f\"${Pm / (Dp * h):.2f} an hour\")\n",
    "print(f\"\\n{'hours a day':>12}{'all entries':>13}{'prize winners':>15}\")\n",
    "for x in (1, 2, 3, 4, 6, 8):\n",
    "    print(f\"{x:>12}{Pm / (D * x):13.2f}{Pm / (Dp * x):15.2f}\")\n",
    "print(f\"\\nfinance competitions, estimated at {per:.2f} active days \"\n",
    "      f\"an entry, {h} hours a day:\")\n",
    "for s, r in f.loc[FINANCE].iterrows():\n",
    "    rate = r[\"reward_usd\"] / (r[\"competitors\"] * per * h)\n",
    "    print(f\"  {NAMES[s]:24}${rate:.2f} an hour (estimate)\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "8aa42d52",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-10-12T00:58:26.129883Z",
     "iopub.status.busy": "2026-10-12T00:58:26.129808Z",
     "iopub.status.idle": "2026-10-12T00:58:26.277146Z",
     "shell.execute_reply": "2026-10-12T00:58:26.276512Z"
    }
   },
   "outputs": [
    {
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EB6tDh/by9/eXs7OzSXhpSf/+ffXySy/I0dFRx44d08ZNMTqbelbhEeHq07uXnJyc5Obmpk8+/kADLxmko0ePludttSgsLFSSlJOToz179urgwUNKOZOi/Lx8BQYGqGPHjgoNDZG9vb1uu+0WOTs767+PPVHqOUeOHK533n5Tzs7OxrZ9+/frn3/+VeqZVHl6eaplVJRatoySg4ODXF1cjHKbN2/RF19+pZDgYKOH9smTp/TLkiVm1ylrxIILzZu/wAjKRgwfpieffKbEz8B5o0YON/5NWrV6jU6dMn+eNWjQwOzzsmvXbu3YsUNpaekKDAxQz5495O/vL19fH33y8Qe65577Nb+E0K08OrRvr+nffW0SAm/ZslU7d+0y+ffh4YemWd2rMzQ0VPb29srPz9f+/fu1f/8BJZ0+rdycXPn5+aldu7bGvzmjR42Ul6enrr3uRrPznD6drJ9/WaIxo0fJwcFBEydOKDOs8/b21tChRZ/777+fYVWdAQAAUDayMLIwiSxMIgsjCyMLIwsjCysNWRhZGICaiUZjAFDJXn7pBSUkJOjee6dq+Z9/mezr1bOHvv76C3l7eys4OEi33HJTib/Y3Xnn7SYh2bvvvq9XX3vDpAdWgwYN9M7bb2jgwAGSpKeeelybYmJKHFK+KnXr1lVOTk7asWOn7v7Pvdq1a7fJ/vNfagYNuswIyU6ditVNN99aYn2joqI0btyYEsNEazVu3Fivv/ay8YUkJmaz7v7PvSZfVO3s7HTbrTfryScfl4ODg7p366YnnnhMTz75tFHm4MFDevzxpyQVBqLng7KYmC3G9opYvWaNrrvuGklSdJ8++uab78zKnA+/srKylJWVJW9vb0X36a0vvvjKrGzvYqHa6jVrzPb7+Pjo/fffNUKy/fsP6K677jEbXnnM6FF67bWX5ebmpsjmzfX6G6/qhhtuNjvfhf776MPKysrS448/pekXfCEp/iW3LI0bN9bMGd+pSZPGkqT1GzbquuturNShp7t27SIXFxcdPnxEt99+l1nP5ylTJunFF56Xs7OzWrdupaeefFwPP/Jfi+eaNGmCEZKdOXNGzz73vGbPnmvWi6dPn9569523FBoaoksvvUR33nm7Pvjgo1LreeMN18vV1VWzZs3RM88+p+TkovfAzc1Vr732isaMHiVJuv++e/TFF19ZPUR+aRo2bKgHpt6ngwcP6a6779GWLVtN9g8bdpXef+9tOTs7q02b1hozepTmzJ1n8VxPP/2E8aU/KytLj/73cc2caTrVRadOHfXJx4VhVvGwujJMm3a/EZLFxsbpscee0M+/mAclw4ZdpddefUk+Pj665pop+nvFSv3442KzcskpKXr77Xe1YOEii4G1VNiT8OmnntD48WPl5eWll19+URMnTimxjq+//ooRkuXm5uqNN9/WRx99YvaztLOzU+/evXTrLTeVGbL+3/PPKSsrS/ffP03z5i8w2RcVFaUZ33+r0NAQubu7a+rUe/XAAw+Vej5rrF69Rh99/Kn+/POvEoPlQYMu1xuvv6LAwEDdcMN1WrBwkdav32CxbLt2bfXmG68bz4/t27frkUcft/hvSIMGDTR27GiTXnx//LFcf/yxXL179zKCsoMHD1bK83vjxk06dOiwmjRprICAAF1yycAyp8YYO3aMsTxv3nyz/XZ2dvrg/XeMz0tMzGY98uhjZr1zXVxcdPfdd2raA/fL3t5er7zyojZs3FShsNPJyUnvvvuWEZIdP35ct99xt1mv0fHjxuqVV140/ihSlm3btmv58j+1dOmyEnvq9+zRQ2+88aqaNWuqyy+/TGPHjDa7ZyXpu+++N553kyaOLzMoGz16pNGbeu3adVZNtwEAAADrkIWRhV0ssjDLyMKKkIVVHFkYWRhZWNnIwgDUZ+ZjIQIAKmzCxClmIZkkrV23Xi++9IqxPnrUCIvHe3p6aur99xrrH3z4kV548WWzIbvj4+N1/Q03G18SnJyc9Nh/H6mEV1B+Tk5Oio2N0/gJk8xCMknKzs6WJPXs2cPY9uprr5ca6u3Zs0cvvPCS2Zfy8npg6n3GL/sHDhzUpMnXmPVsKigo0MeffKbnnnve2HbjDdeZDH9f1VavXmss9+7d02KZ870rY2I2a+269ZKkXr1KKFusd+WqVeZB2a233qzQ0BBJhT1VJkycbBaSSdL8BQt1991F9+PgKwapV7GfY0mcnJz0wAMPmYVkUtH9UJY2bVpr0cJ5Rki2bNkfmjRpSqWGZFLhF820tDRNnHS1xakyvv9+ph79b9EXwauvnqzGjRublfPw8NDTTz0pqTAEmjT5Gn3//UyLwz6vXr1GkyZdbQw3ffdd5sPDX8jV1VXzFyzU/VOnmYRkkpSRkakHHnhIx48fl1T4HBk06PIyXrl1XFxclJycrNFjxlv8PC5e/JNJz+5RJTzbmjVrqkkTJxjrDz38X7OQTCrswTVp8jVKT0+XS7HecRXVqFEj3XvPfyQV9lYfOWqsxZBMKnxNN918m7H+4LSpFstt3rxFL738aokhmVTYu/be+6YaQ93379dXLc71pL5Qv359NWpk0fv3n3vu05tvvm0x8CwoKNDq1Wt04023lvkHBWdnZ9166x0WA4c9e/aYBL/Dh11VZm9Na7zw4stavPinUnsi//77Ul13/U3G+k033VBi2f97/jnjM7Jly1aNGj2+xH9D4uPj9dFHn5QZPlem4u/tmDGjSi0bGdnc6JWckZGhn376xazM2DGj1bdvtKTCIG7suAkWp3PIysrSG2+8pTfOBUUeHh66+647LvZlSJImjB9nBHQZGZmaNPkai9MMzJk7T9OmPWz15/TDDz/W7NlzS53aZd369ZpY7NlY0j2xZs1a7dtfOApBRESE+p3741VJpkyeZCx///1Mq+oLAAAA65GFkYVdDLIwc2RhpsjCKoYsjCysKpGFlY0sDEBtQKMxAKhk302foZ07d5W4f86ceUbg1bx5c5Ohbs8bM3qUsT0uLk6vvvp6iefLzs7WY48/aaz37Rut5s2bXWz1K+SNN98q9ZdfSfLy9DKWExMTq7pK8vb21ogRw4z1559/odQvlJ9+9oUR9Dk4OOjaa0ruAVXZ4uPjtXfvXkmFPYOioqJM9kdERKhRo0aSpNVr1mr1qtWSJH9/f7Vp09qkbFhYqBEuHTt2TEeOHDG73jVXF722t956WydOnCyxbr8s+dX4ki9J111/bZmvJyZmc4WGhe7Vs4fmz5utoKCGkgp7H91w4y3Gl6fK9vEnn+rw4ZKHSZ8xY5a2bi0M0ezt7XX1lElmZSZPmihfXx9J0tdff1tmT+e9+/Zpzpy5kgp/jpcMHFhq+aysLD3zzP9K3b9g4Q/GeudOHUs9X3m88857pU6BMHNGUeDVqYTrTp48yejtFhOz2Xjtlhw4cFCffvr5RdbWsltvucnoZf3mm2+X+vOWCsPM5cv/lCRFRbVQ+/btKnT9WbOLXm+//pa/1N9x+63G8sJFP2jRoh8rdM3zfl+6zOIfcM5btuwPxcbGSSoMWVu0sBzkVYXNm7doz57CZ1+/c8HQhTp37qQePbpLKpw65L77HlB6errN6miN4j0kB18xSB4eHiWWHTtmtLG85NfflJaWZlbmtttvMZYfefQxZWaW3tP4vfc+MAL0UaNGyM7Ozuq6X2hKsefbF19+ZXGKmPPmL1io9Rs2XvS1LDl27JhWry78N65Tp44Wf1eSTAOvyZMnlni+tm3bGMFkSkqKflxs3lMaAAAAF48sjCzsYpGFmSILM0cWVjFkYWRhVYksrPKQhQGoTkxPCQCVbPGPP5W6Py0tTYcPH1ZkZKTs7e3VqFGYWW/E6Og+xvLChT+U+cvxli1btWPHTiMsie7TR/v3H7jIV3Dxfvih7C90J06cMJavnjJFv/++TPn5+VVWp27dusrVtbA3TmJion77fWmp5QsKCjRz5iw980zhEM19+vQutXxlW716rVq0KOzREh3dW3v2FPXY6lNsiP1Vq1ab9FiK7tNHO3bsLCpbrGflmjXrzK4T1aKFEUDl5uaWOHx6cd9/P1OXXXap2flLsmjRD2WWKcngwYP04QfvGz2pPvvsCz351DMXfT5rzJlT9nswZ+48Y0oJS/fGZZddYixbGxKuXLXamIqhR4/uJfb2k6T16zcqPj6+1PP9888/xnJ4eCOr6mCNHxeX/mzbu2+fMjIy5ObmJn9/f3l4eJh9+Y8u9p7NtTAE+YVmz5mr++675+IqbMGlxX4+C8rx87nkkoGSCn8+27f/U2JZNzdXdenSRa1btVJAgL88PT1l71DURyMkONhYbtu2jdnxzs7O6l3ss2Vpqo2LVda/TZK0Y8cO47kQHh5usaf8xWrWrKk6duygJo0by8vbS87OziZBjpdX4R9R/P39FRoaYhbcX3LJQGN5xcpV2nPujwo1ycGDhxQTs1ldunSWu7u7hl45pMRn6+hzQ8lL0rx55j1eGzZsqPbtCoPZ3bv3mDzfS5KVlaVNmzbpsssulY+Pj1q1alnqH+5K4uHhYTznJJUaaBtlZs9Vj+7dynWdsLBQderUSc2bNZW3j49cXV1M7omIiMLRDezt7dW2TRutW7/e7ByzZ83RIw8/KBcXF105ZLB8fX3Mep5LpiHaggWLyvy9CgAAAOVDFlY6srDSkYUVIguzjCysYsjCSkcWVjFkYWRhAOoGGo0BQCXbuavsX0qTTicby+e/HBTXrl1bY3nDxk1WXXfDho1GUFbRHkAX4/DhIxZ/Ob3Q4sU/a9q0qXJwcNCgQZfpz+W/a8bM2frjj+WlDml9sdoXey83b96ivLy8Mo8p3kuk+M/CFlavWavrz/VcjO7TW19++bWx73w4lZGRqU2bYpSTk6Pk5BT5+vqoT3RvffpZUU+03sVCtdVrzIfjL/669u8/oNPF7smSFH9fgoIaKigoqNTedtu2mQ/vb43JkyfqlZdfNHrBvfzyq3rr7Xcv6lzWSkxMNJumwZKNxT6PloKOrl27GMvXXnO1JkwYV+Y5Q0NCipZDQ0stu8uK50vxn6WnhefLxUhJSSm19+15yckpcnNzkyR5eXmaBWXFewFv2mg+vPeFDhw4qKSk0/L39ytnjc35+fkqsnlzSYWBwgPT7rfquKhzwbUkYwqLC/n6+uihh6Zp/LixFp/plvj7+5tta9u2jREOp6enKyZms1XnsoY1/zadPl3UO96rhN5s5XXZZZfqkYenqX379lYf4+/vb3a/de3S2Vg+37O8Jpo3f4G6nKvr2LGjLQZl3bt3U+PGEZKkhIQE/Wmh12u3Ys8SV1dX/d//PWfV9Rs3KZoqJDQ09KKCsjZtWhtTMqSmplr1b/PGTdb9riIVPicff+xR9ezZw+htXZaSngGJSUla8utvGjliuFxdXTVmzGizgNnFxUVjRhf1Zv1+BsPxAwAAVDaysNKRhZWOLIwsrDRkYRePLIwszBbIwspGFgagpqPRGABUsjNnzpRZJvfckPySjDCguICAoi9Qx44ds+q6R4uVq4wvleVl7fD6e/ft0/+ef0FPPfm47O3t1aJFCz315ON66snHdfp0sjZu3KQ1a9fq119/04EDBytcr4CAAGP52LHjVh1z9GjRe+ni4iJPT0+TnoxVafXqolCrV6+eJvt69y5cj4mJUXZ2tiRp7bp1GjL4CvXs0UN2dnYqKCiQZNr7cfXqtWbXMX1frLvHEhISlJGRaXyR9/f3KzUoS0xMsuq8xQUHB+uN11811h955DF98+135T5PeR0/fqLsQheUc3V1Nbk33N3dTUKSq6+eXO56+Jwbzr8kZ0qZTuK8nGLPFycLz5eLUdo0FsXl5hZ/tjmZ7PP29paLi4uxfvy4dZ/H4yeOV8ozrWHDhsayi4uLbrrxhnKfw8fH/OfTKCxMCxbMMabLsJanheHaGzRoYCyfOHHCqmDfWmfOWHPv5BrLjk4Vv3emTZuqB6dNLfdxlt+bQGP5sIUpRmqKRQt/0DNPPyknJydFR/dRgwYNzHpEjynWs3Lhoh8t/pyDgoOM5caNIy7qfvW1cL9ao/jvINYE5JL1z9BJkybo9ddesTogO6+kIfkl6bvvvtfIEcMlFf6h5cKg7MorB8vPz1eStH379lJ7SAMAAODikIWVjiysdGRhZGGlIQu7eGRhZGG2QBZWOrIwALVB+Z5QAACbKD73e3p6hlXHFJ/P3qOSesWUR2ZmptVlP/74U40bN1F/r1hpMhy/n5+vBg26TE89+bhWrfxLs2Z9r1atWlaoXu4e7sZyekZ6KSWLFH8vJcnT0/xLW1VJSEjQnj2FQ00HBASodetWkqSIiAjji/iqYmHamnPLfn6+Ro/JsLBQo+fOsWPHdMTCl0qP4u+LlfeYJGUUew9L++IiSRnluCfOy8/PN/nS2CKqRSmlK09GRvk/Z5LpveHtXfGejI7nejSV5HwQamuVcd3i95wkpVv5nmeU4/4sjbe3d4XP4ehgHh69/8G7xmczNTVVH3/8qSZPvkY9ekarWfOWCg1rrJDQCIWERmjM2AnGcZaCguIBUVqadc8ra9n63unfv59JSLZh40Y9+OAjunzQELVp20GNm0Qa70tIaITJHwnsLLw3Hh5Fz5vKfm8qU2JSkv78829JhX8IGz1qhMl+R0dHjRgxzFifW8KQ/d6V0DPawbH050lJPNyL7sOLfTZaEtWihV55+UXj3t+1a7eeePJpDblymNq176wmTVuY3BOzZs0xjrWztyvptFq5cpUOHjwkSWrXtq06XNCTd/LkScby9O/pWQkAAFBTkYWRhUlkYRJZ2IXIwi4eWRhZmC2QhZWMLAxAbcFIYwBQA6WlpRm9eNzd3aw6xt296EtoWiX0BCxvz4fyWrN2ndZMnKLAwED17t1LPbp3U48e3dW2bRtjKOD+/frq559+0MRJV2tDseHgyyO92Bcqdzf3UkoWKf5eStLZs2kllKwaq1evUdS5gCi6Tx/t3LlL0dHFekuuKvpCWTw069Ont7Zv/0d9+vQpdi7znpWS6RdNa+8xSXIr9h5WRY/TuLg4vfTSq3rnnTfl4OCgW26+UZL05JNPV/q1ijs/jHxZSrs3LgwcW7Vur5SUsqepqC8uDDfc3dys+hLuVo77szTFv8ifOXNGLVtVfOqSbt26qkf3bpIKPw/Dho3Snr17SyxfVrh8ttgUBhcGi7XNXXfebix/P2Ompk17uNTyZb03aWlFz5ua/t7Mmz9fgwZdJkkaM2a0Pvm0aLqUSy4ZaEzHsG/fPm3dus3iOYo/T5b8+ptuvPGWKqvvhdLSi+7Di302WnLrrTfLyamw1/Xy5X/q+htuNukNfqHy/JHq+xkz9fhjj0oq7GG5bXvhlDDh4eHqG134b2JGRobmz19o9TkBAABgW2RhZGFkYWRhdQ1ZGFlYacjCTJGFkYUBqD6MNAYANVDxoczDwsKsOia82HDQSUmnzfabTANQRg8uqXJ6dlgjISFBP/64WE8+9YwGD7lKHTt21ZNPPqOkpML3wM3NTa+8/OJFn7/4VAFWv5fhRe9lVlaWzYbjP2/1mqJw63xAdn6I/YyMDMVs3mzs37Fjp06fTi4sey4g69OnV7FzFQVpxV3M+xIQEGAMxy9Zvs8qw/wFC3XvvVONXpa33Hyj/vfcM1VyrfNCQ0OsKhcWGmosZ2ZmmtwbZ86cMell3LDY8OoofH+ysrKMdWvvu+LveUXExycYy97e3ib38sXq1zfaWJ49Z26pIZkkNWpU+msuPnR7aGio8UeD2sbe3t6YUiQvL08vvPBymceEhZX+cy7+84sIj6hYBavYr7/+Zkxj0bFjB0VGNjf2jR072lieN29BieeITyi6F2z9LCn+O0hISLBVx1jzDO1b7PPy8suvlRqSSSrXNBczZ842pqoZPXqkXF0Lp/+YNGm88Ye/xYt/tnp6EQAAANgeWRhZ2HlkYWRhdQVZGFlYacjCTJGFkYUBqD40GgOAGuiff/41lrt362rVMd2KlbM0R3lqsS/0fn5+ZZ6v1bmh4G0tMSlJn33+hW4o1pOkVauWioi4uC9G24u9l507d7Sq12jx97z4z8JWig9N3bNnT9nZ2al378IvnRs2bjL5clFQUKC1a9eeK9td9vb26tO7WFBWQu/K4q8rMrK5fH19yqzX+V5kkhQbG6fY2FgrX1H5zV+wUPfd90BRWHbLTVUalgUGBqpx48ZlluvarYux/O+/O8z2b9my1Vju3qOb2f76bseOncZyl66dyyzftGkToydaRcXFxen48ePGerduFf/5BAUFGcu7du4us3yvnj1L3f/vvzuUkVEYtrq7u6tLl7Lfo5rI399fLi6FQUVCQqJJMG9JVIsWCggIKLXMppiiPxBE9+1TSkkrVPH0BJmZWfr55yXG+pjRoyQVTrdzxaDLJRVOPzKvlJ5+MTFbjOW2bdtY3cuxMuzYsdN49np7eysqKqrMY7p1Lft3leKfl527dpVa1svLy5iSxhoJCQn67belkiQfHx9dNXSo7OzsNHHCeKPMjBkMxw8AAFCTkYWRhZ1HFkYWVpeQhZGFWUIWZo4sjCwMQPWh0RgA1ECrVq02lkeOHGF84ShJxw4d1LZtm6LjV682K3P06DFjuXjZkowYPqzMMlVpw4aNJr33GjQIvKjzbNy4yejxFhgYqMsvv6zU8nZ2dpo4cYKxXvxnYSuJiYnas6ewl5afn6+GDr3S6Im22kJ9zodh3t7euvLKIUaoePToUR09etTiNfbs3avY2DhJkqOjo8aOHVNmvSZPnmQsW7rHKtu8+QvMwrLnnq26ofnHjSv7PRhX7H0qHmie9/vSZcby9dddWzkVq0OKTyExdszoUkoWGj9ubKVe//ffi34+N1xf8Z9PfkG+sVxWb82goCANHjyo1DLZ2dlaXeyzdeON11esgtWkIL/ofTnfy600111/TZll/vhjubHcr2+0WkRGXlzlJGUW6+XreG6I+Mo2b35Rz8kx5+71q6660gi8Nm7cVOLzWZKOHDli/Dvg4uKiKVMmlVi2sqWlpZlMFWDNs3H8+LI/qwUmn5fSg78pUybJ2dm5zHMW99306cby5MkTNXBAf+Pfzv37D2jN2nXlOh8AAABsiyyMLIwsjCysLiILIwuzhCzMHFkYWRiA6kOjMQCogeYvWGgM9R0cHKRpD9xfYlknJyc9//yzxvrKlau0f/8Bs3JbtmxV/rkvL126dC71S8b111+rVq1aXmTtS+fvX3bPTqkw9PHwKJoXPiGh9N45JTlz5ox++GGxsf7kk4/Jw6PkueFvuukGtWnTWlLhUNLffvf9RV23oooHUcV//qsshDMllS2pZ+V5300vem0PTL1PwcFBJZa94opBGjSoKGT89pvvSj13ZZk3f4Huv3+aEZbdeuvNVRaW3X7bLQoPDy9x/4QJ49S5cydJhT2jvrfQU+fbb6crOTlFktShQ3tNmzbV6uv7+/tZ1fu3Niveu6lbt66lhmVNmjTWbbfdUuL+i/HRx58qNzdXkjR06JWaMGGc1cc2sDAs+uHDR4zlK64oOQSzt7fXq6+8VOYfPSTp408+M5ZHjxqpkSOHW13HmiLp9GmlpBR+Dnx8fNS7V8m9Srt372ZVqLxly1atX79BUuH7+c47b8rd3b2Moyw7fbrojzAhpTz3KmLlylU6ceKkJKlx4wh169bVCMwkae7c+WWe4733PzSWH3n4wXL9u2zpfi2P778v+qzecvONatasaYllR44crp49e5R5Tms/L02bNin1956S/PXXCuMavXv30oMPPmDsmzFzVrnPBwAAANsiCyMLIwsrRBZWt5CFkYVdiCysZGRh5UMWBqCy1O3fxgCgljp79qzefOsdY/2ee+7Www9Nk9MFvUACAwP11ZefGcPx5+Tk6IUXX7Z4zvj4eK081zPP3t5eH3z4rtn87A4ODrr99lv1/P+eNXokVraPP/pA33z9pa66amiJvZGCg4P0wfvvGF8q9+3fr8OHD1/0Nd94820jeIxs3lwzZnxrNsS/nZ2dbrn5Jj3z9JPGti+/+kbHjh1TdSgecp0fljgtLc1kyPfzdu7cpaSkJJOykrR6jXmoVtynn35ufJHz9/fXnNkzLPa8HTlyuD784F1j/dffftfadevL8WoqZu68+VUelmVlZcnLy0uzZk5X+/btzPZPnDher7z8orE+Y8YsHTpkfk+mpqbq6WeKgusHp03V22+9obCw0BKv3b17N734wvPauGGtXF1L76FX2x04cFAzZ8021l977WWNH28eVnXs0EGzZk6Xh4eHsor1hKuow4cP6623i+7lN994TU899XiJAb6Dg4MGDOind995S7//9ovZ/mXL/jD+ABEd3UdPPfW4WW/CBg0a6PPPPtagQZcpLS2tzDquWLHSJNx/7923NXXqfRafl3Z2durTp7e++PwTeXl5lXluWykoKNCyYr0h33rrdXXq1NGs3PDhw/Tdt1/J0dHRqvfmiSefNv5t6tSpoxYumGOE1xdq0KCB7rjjNt155+1m+44cOar09HRJUnh4uDp27GDNyyqXgoICLVy0yFi/687b1Te6cCqBrKws/fDj4pIONcybN18rVqySVDhE/aKF83TtNVeb/S5wnqenp8aMHqV5c2fp/55/rkL1nzN3nvbt2yepsCfkrJnTLb7XY0aP0ptvvG7V5/T335cay888/aQGDuhvVqZv32jNmztbXl5eVt0TFzofxtvb2xtTWuTk5GjWrDnlPhcAAABsiyyMLIwsrAhZWN1BFkYWVhxZWOnIwsjCAFQPx+quAADAsg8//Fg9enTX4HM9EKZOvU/XX3+tVq1ao5SUFIWGhqhPn94mX6z/978XtHnzlhLP+dJLryi6T285ODioXdu2WrXyL61cuVqnTp2Sr6+vevXqoQYNGujs2bN64cWX9cL//a/SX5e9vb0GDbpMgwZdpqysLO3Zs0f7DxxU6plUeXh6qFFYmLp27SIHBwdJUm5urp568pkKXfPw4cOa9uAjev+9t+Xo6Kju3bpp5YrlWrduvQ4fPiJ3D3f17NFDoaEhxjEbN27S88+/UKHrVsQaC70oN2zYaPQMMyu/Zq2uumqoybayelempKTo7rvv0fTp38jd3V2RkZH67defFROzWXv27pWzk7O6dOls0qtm//4DmvbAQxfxiipm7rz5srOz05tvviYHBwfdeuvNKigo0NPPVOzL4HmbNsUoOTlZQ4deqSW/LNammBjt3btPLs7O6tq1q5o0aWyU3bNnr5597vkSzzV79lw1bhyhB6beL6mwV+aYMaP07787tG/fPqWlpcvDw10hISFq27aNfHx8KuU11BbPPPM/devaRZGRkXJ1ddU7b7+hB6bep02bNikrO1sto6LUuXMn2dvb66effpafn5/69Oldadd//fU3Fd6okSZOHC97e3vdecftuunGG7R123YdPnRYGRkZ8vTyVHh4I7Vp3drojX0+jC5u3779mjt3vtFL8847btfoUaO0ZetWJSYkqlF4I/Xq2UMuLi5KTU3V//73gl555UWz81xo2oMPq1GjMHXp0lmOjo56+KFpuvuuO7Rhw0YdP3FCdnZ2CgkOVseOHeTv7y9Jun/qg5X2HlWGt996V1cOGSw3NzdFRETop8WLtHFTjA4cOCBnJyd17dpVjRsX/sHiu+++V7NmTcv8OW/f/o+mTXtYb731upycnNS+fXv9/NMP2rdvn7b/869Sz6TKy9tLUS1aqFWrlnJwcNCnn35udp78/HwtWfKr0dtx/rzZWr78Tx0/fkJ5+YWBfPLpZL3z7vsVeg/mzVugu+68Q5J05ZVDjO3Llv1h9D4tTX5+vm6/485zAX57eXt765VXXtQTT/xXmzbF6OSpU8rPy5ePj4+aN2+mFi0ijRBt8eKfK1T37Oxs/eee+zVv7ix5eHioUaNG+vmnHxQTs1m7du82+/fh8SeeKjOc++TTzzVlyiQFBgbK399PM2Z8p23btmvPnr0qKChQ+/btjB6ky5f/qYSERKuG+i9uxszZmjZtqkmYuHTpMiUkJJTzHQAAAEB1IAsjC7sQWRhZWF1AFkYWRhZGFkYWBqAmo9EYANRQBQUFuvnm2/Tss0/p+uuulaOjo/z9/TV8+FVmZVNSUvTU089q9uy5pZ5z8+YtevChR/TqKy/J0dFRbm5uJsOsS9KpU7G64467Ze9QNYNRni3WW8LFxUXt27dX+/btLZaNj4/XQw8/quV//lXh6/7ww49KT0/X66+9rIYNG8rJyUl9+0arb99os7LzFyzUgw8+XKm9usorMSlJu3fvUcuWUcY2S8Pxn7f6gqDs6NGjVvUMXbtuvcZPmKz333tHTZo0lr29vbp162r02C3ur79X6O677lGihcDAFubMnSdJRlh2frj2ygrL7rt/mhydnHTFoMvVvVs3de/WzazMpk0xuvGmW5WamlrquV599Q3t2rVHzz7zlEJCguXo6KiOHTuU2osrJmZziUFoXZKSkqJx4yfrqy8/M3rcNWnS2CSMlKQlv/6m++6fpm++/qLS63D/1Gnatn27Hpz2gPz8fOXi4qIe3bupR3fzn7lUGFis37DR4r5H//uYGjZsoIEDB0gq7B0+JPgKkzLHT5zQnXf+R46O1v3qffbsWY0dN0H/e+5ZTZo0QY6OjvLw8DCucaGMjEyj93FNsWfvXt1513/0wfvvyt3dXfb29hbf42+/na4nnnxaM77/1qrzzl+wULFxcXr9tVeMoC0yMlKRJUwzU1IPvRdffEXR0dEKCmood3d3sz80HD16tMJB2Y4dO7Vz5y6TXu9SYYBmrdOnkzVi5Bg98/RTmjJlkpycnOTt7a1LLhlY4jEZGRnatm37xVW6mK1bt+maa67XRx99oKCghpIKp/Q532tRKpy65s233tEXX3xVZlCWmJioG268RV9/9bkCAgIkFU5d0qGD6e8Av/yyRPfdP03/e+6Zctc5Li5OS5cuMwkmpxebXgAAAAA1G1kYWRhZmCmysLqBLKxsZGElIwsjCysNWRiAykCjMQCowfLy8vTEE0/rm2+ma/KkCerbL1qhIaHy9PRQcnKyDhw4qGV/LNf06d/r9Olkq845c+ZsxWzarNtuv0V9o6PVsGFDZWVl6ejRI/rpp1/07XfTlZR0Wr1796qS13T99Tepfft26ts3Wl06d1aLFpEKCQmWu7u7srOzlZiYqB07d+mPZcs1f8FCYyj9yrB06TL17tNfkydP1KDLL1NUVJT8/f2UmZmp2Ng4rVq9WnPmzCu1h6otrVq92iQoW11KULbq3HQLRWVL71lZXEzMZvUfcKnGjh2tIUMGq13bNgoICFBubq7i4uK1fsMGLVy4SH/9taL8L6KSVWVYdvbsWV1//U0aNuwqTRg/Tm3atFJgYKDOnDmjHTt3af78BZozZ54KCgqsOt+PPy7Wr7/+ppEjR2jgwP7q1LGjAgL85eHhofT0dJ06Fau9e/dq3boNWvbHHzpw4GCFX0NtERsbq6uGjdT48WM1ZsxotWndSl5eXkpISNC/O3Zq9uy5+umnivUOK8sXX3ylWbPmaNy4MRrQv5/atGmjgAB/ubi46OzZNJ08eVK79+zRmtVrteyPP4zpKy6UkZGpKVdfpzGjR2n8hHFq366tPD09lZR0WkeOHNFPP/2sWbPnKiUlpVzP1czMLD308KP6+JNPNX7cWPXtG63w8Eby9fVVTk6OYmPjtHPnTv319wr98MOPFzV8eVX79dffNfCSQbr99ls0YEB/hYWGKS8vV6diY7Vhw0bNnjXnoqb3WLVqtfr2G6hRI0fo8kGXqWOHDgoMDJCzs7NSU1N18OAhbdoUo19++VXr1ls+/7Hjx3XZ5YN1003Xa0D//mrWrJk8PT1KHO7+Ys2dN19PPvGYsZ6cnKKly/4o1zkyM7P06H8f13vvf6hxY0crOrqPmjVrJj8/P9nb2yk1NVWHDx/Rjh07tWLlKi1f/mel/du5dt169R9wqW684ToNHXqlGjeOkJOTk06ditXadev07bfTLU4VU5JNm2I0YODluu3WmzVo0OVG2BkbG6dt27dr3rwFJkP3X4yff15iBGXHT5zQ8uV/Vuh8AAAAsC2yMLIwsjBTZGF1A1lY2cjCSkYWRhZWGrIwABVlFxwSbt1vewAAAAAA1GBvvvmaJk2ccG75bb3y6uvVXCMAAAAAAACgapCFAagoGo0BAAAAAGo9Dw8Pbd2yUR4eHsrLy1PvPv119OjR6q4WAAAAAAAAUOnIwgBUBvvqrgAAAAAAABU1ZfIkeXh4SJL+/PMvQjIAAAAAAADUWWRhACoDjcYAAAAAALVao0aNdP/99xjrn3z6eTXWBgAAAAAAAKg6ZGEAKotjdVcAAAAAAIDyeu7ZpyVJQUFBuvzyS+Xu7i5JWrFilf7+e0V1Vg0AAAAAAACoVGRhAKqCXXBIeEF1VwIAAAAAgPI4eeKI2bb4+HhdNWwUw/EDAAAAAACgTiELA1AVmJ4SAAAAAFBr5ebm6uTJU/p+xkwNuXIYIRkAAAAAAADqLLIwAJWJkcYAAAAAAAAAAAAAAAAAoB5hpDEAAAAAAAAAAAAAAAAAqEdoNAYAAAAAAAAAAAAAAAAA9QiNxgAAAAAAAAAAAAAAAACgHqHRGAAAAAAAAAAAAAAAAADUIzQaAwAAAAAAAAAAAAAAAIB6hEZjAAAAAAAAAAAAAAAAAFCP0GgMAAAAAAAAAAAAAAAAAOoRGo0BAAAAAAAAAAAAAAAAQD1CozEAAAAAAAAAAAAAAAAAqEdoNAYAAAAAAAAAAAAAAAAA9QiNxgAAAAAAAAAAAAAAAACgHqHRGAAAAAAAAAAAAAAAAADUIzQaAwAAAAAAAAAAAAAAAIB6hEZjAAAAAAAAAAAAAAAAAFCP0GgMAAAAAAAAAAAAAAAAAOoRGo0BAAAAAAAAAAAAAAAAQD1CozEAAAAAAAAAAAAAAAAAqEdoNAYAAAAAAAAAAAAAAAAA9QiNxgAAAAAAAAAAAAAAAACgHvl/wr/p39KbCp4AAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 1240x580 with 2 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 561,
       "width": 1222
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#| echo: false\n",
    "#| fig-cap: The most the pot pays for an hour of work, against the hours behind each active day, in the 411 competitions with complete records. Left, all entries; right, the prize-winning entries alone. The marker is the knob's value; the dashed grey line is the US federal minimum wage, 7.25 dollars an hour, for scale.\n",
    "hh = np.linspace(1, 8, 200)\n",
    "fig, axes = plt.subplots(1, 2, figsize=(12.4, 5.8))\n",
    "for ax, days_, col, name in ((axes[0], D, CORAL, \"all entries\"),\n",
    "                             (axes[1], Dp, TEAL, \"prize-winning entries\")):\n",
    "    ax.plot(hh, Pm / (days_ * hh), color=col, lw=3.4)\n",
    "    ax.axhline(7.25, color=GREY, lw=2.0, ls=\"--\")\n",
    "    y0 = Pm / (days_ * h)\n",
    "    ax.plot(h, y0, \"o\", color=SKY, ms=17, mec=\"white\", mew=2.2, zorder=5)\n",
    "    ax.annotate(f\"{h} hours a day:\\n{y0:,.{2 if y0 < 10 else 0}f} dollars \"\n",
    "                \"an hour\", (h, y0),\n",
    "                xytext=(18, 16), textcoords=\"offset points\", color=SKY,\n",
    "                fontweight=\"bold\", fontsize=13)\n",
    "    ax.text(0.97, 0.95, name, transform=ax.transAxes, color=col,\n",
    "            fontweight=\"bold\", fontsize=14, ha=\"right\", va=\"top\")\n",
    "    ax.set_xlim(1, 8)\n",
    "    ax.set_xlabel(\"hours of work behind each active day\")\n",
    "    tidy(fig, ax)\n",
    "axes[0].set_ylim(0, 8.5)\n",
    "axes[0].text(7.9, 7.45, \"minimum wage, 7.25\", color=GREY, ha=\"right\",\n",
    "             fontsize=11.5, fontweight=\"bold\")\n",
    "axes[1].set_ylim(0, 420)\n",
    "axes[1].text(7.9, 16, \"minimum wage, 7.25\", color=GREY, ha=\"right\",\n",
    "             fontsize=11.5, fontweight=\"bold\")\n",
    "axes[0].set_ylabel(\"dollars an hour, at most\")\n",
    "fig.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c361c853",
   "metadata": {},
   "source": [
    "## What the Numbers Show\n",
    "\n",
    "Most Kaggle competitions pay no cash: 93.6% of the finished ones offered none, and money was never their main offer. Where there is cash, an entry's share of the pot is \\$48.62 pooled and \\$24.39 in the median competition (Netflix's million came to \\$19.59 for each of its contestants), and a team's chance of any prize is about 1 in 301. Measured against the days on which people submitted, the 411 competitions with complete records paid at most \\$6.09 for an active day: \\$2.03 an hour at three hours a day, as a ceiling, because the days without a submission are not in the record. For the 0.48% of submitting entries that won a prize, the same ceiling is \\$126 an hour.\n",
    "\n",
    "A contest that pays a few, and little on average, is working as a tournament is designed to. Edward Lazear and Sherwin Rosen's study of rank-order pay, published in 1981, starts from schemes that pay \"according to an individual's ordinal rank in an organization rather than his output level\", and shows that with risk-neutral workers they \"induce the same efficient allocation of resources as an incentive reward scheme based on individual output levels\". The small average is a property of the contest: a pot divided among many entries.\n",
    "\n",
    "And cash is not why most people enter. In the survey of biomedical imaging challenges, \"knowledge exchange was the primary incentive (70%) for participation, while the reception of prize money played only a minor role (16%)\". Netflix's rules made the same invitation in 2006, to those who wanted to learn, and Goldbloom wrote in 2017 that \"Kaggle profiles have become a well recognized credential\". An entry is a lottery ticket bundled with a course on real data, a public record of the work, medals and a sport. This notebook has priced the ticket; the reader judges the course."
   ]
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    "## Sources\n",
    "\n",
    "1. Netflix Prize, Rules, netflixprize.com (Internet Archive copy, 2009): the start date, the \\$1,000,000 Grand Prize, the \\$50,000 Progress Prize, the winners' licence, the invitation to enter.\n",
    "2. Netflix Prize, home page, leaderboard and forum announcement \"Grand Prize awarded to team BellKor's Pragmatic Chaos\", 18 September 2009, netflixprize.com (Internet Archive copies, 2009–2010).\n",
    "3. X. Amatriain and J. Basilico, \"Netflix Recommendations: Beyond the 5 stars (Part 1)\", The Netflix Tech Blog, 6 April 2012.\n",
    "4. F.-F. Li, \"Welcome Kaggle to Google Cloud\", Google Cloud Blog, 8 March 2017.\n",
    "5. A. Goldbloom, \"Kaggle Joins Google Cloud\", No Free Hunch, Kaggle's blog, 8 March 2017 (Internet Archive copy).\n",
    "6. Kaggle, Meta Kaggle (kaggle/meta-kaggle), Apache 2.0: `Competitions.csv`, `Teams.csv` and `Submissions.csv`, downloaded 11 October 2026; the data file of this notebook is derived from them, with credit.\n",
    "7. E. P. Lazear and S. Rosen, \"Rank-Order Tournaments as Optimum Labor Contracts\", *Journal of Political Economy* 89 (1981) 841–864, doi:10.1086/261010; quoted from the abstract of its working paper, NBER Working Paper 401 (1979).\n",
    "8. M. Eisenmann et al., \"Biomedical image analysis competitions: The state of current participation practice\", arXiv:2212.08568 (2022, revised 2023).\n",
    "9. SoftBank News, \"SoftBank Corp. Data Scientist Wins Gold Medal at World's Largest AI Competition\", 13 September 2023.\n",
    "10. US Department of Labor, Wage and Hour Division, \"Minimum Wage\": \"The federal minimum wage is \\$7.25 per hour effective July 24, 2009\", read 11 October 2026.\n",
    "\n",
    "*Every number in this notebook that is not quoted from a source is computed by its own cells from the data file.*"
   ]
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