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Pirates vs. Global Warming Parody Data

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Tags and Keywords

Correlation

Causation

Parody

Statistics

Misinformation

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Pirates vs. Global Warming Parody Data Dataset on Opendatabay data marketplace

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About

Explore an illustrative example demonstrating the critical distinction between correlation and causation in statistics. This product features data famously used as a parody, attributed to the author of the Flying Spaghetti Monster, designed to debunk misleading statistical visualisations. The data is intended to teach data scientists an important lesson in the fight against misinformation. A notable observation within the context of the parody is the correlation often drawn between global average temperatures and the global number of pirates over time. It is highlighted, for example, that a nation like Somalia has high pirate numbers but low carbon emissions.

Columns

  • Year (year): The specific year of the measurement, spanning from 1820 up to 2000.
  • global-average-temperature: The global average temperature recorded for that particular year. The mean temperature is 15, and values range from a minimum of 14.3 to a maximum of 15.9.
  • number-of-pirates: The total number of pirates recorded globally during that year. This count has a wide variance, with a standard deviation of 16.2k, ranging from a minimum of 17 to a maximum of 45.0k.

Distribution

The data is delivered in a CSV format and contains 3 distinct columns. There are 7 total recorded values or rows. The file size is small, approximately 162 B. The integrity of the data is high, with 100% valid and matching values across all columns. It is noted that this data is static and is not expected to receive future updates.

Usage

Ideal for educational settings, particularly courses focusing on statistics, data science, and critical thinking. Useful for illustrating statistical fallacies, specifically the danger of inferring cause-and-effect relationships merely from observed associations. Can be used as a visual aid to critique misleading or spurious correlations often encountered in public data discussions.

Coverage

The temporal scope covers selected points between the years 1820 and 2000. The subject matter relates to Earth and Nature, and Earth Science. The number of pirates represents a global total, as does the global average temperature measurement.

License

CC0: Public Domain

Who Can Use It

  • Educators and Academics: To create clear examples of statistical errors in the classroom.
  • Data Scientists: To sharpen skills in interpreting associations and correlation coefficients, aiding in the fight against misinformation.
  • Journalists and Fact-Checkers: To quickly identify and challenge visualisations based on spurious data links.

Dataset Name Suggestions

  • Correlation Fallacy Data
  • Pirates vs. Global Warming Parody Data
  • Causation vs. Correlation Teaching Set
  • FSM Correlation Example

Attributes

Listing Stats

VIEWS

3

DOWNLOADS

0

LISTED

28/11/2025

REGION

GLOBAL

Universal Data Quality Score Logo UDQSQUALITY

5 / 5

VERSION

1.0

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Free

Download Dataset in CSV Format