nutrition-studies

77
0
Updated:
Files:2
Size:1.29 MB
Formats:csv

API Access

Access dataset files directly from scripts, code, or AI agents.

Browse dataset files
Dataset Files

Each file has a stable URL (r-link) that you can use directly in scripts, apps, or AI agents. These URLs are permanent and safe to hardcode.

/fivethirtyeight/nutrition-studies/
https://datahub.io/fivethirtyeight/nutrition-studies/_r/-/README.md
https://datahub.io/fivethirtyeight/nutrition-studies/_r/-/data/p_values_analysis.csv
https://datahub.io/fivethirtyeight/nutrition-studies/_r/-/data/raw_anonymized_data.csv
https://datahub.io/fivethirtyeight/nutrition-studies/_r/-/datapackage.json
Key Files

Start with these files — they give you everything you need to understand and access the dataset.

datapackage.jsonmetadata & schema
https://datahub.io/fivethirtyeight/nutrition-studies/_r/-/datapackage.json
README.mddocumentation
https://datahub.io/fivethirtyeight/nutrition-studies/_r/-/README.md
Typical Usage
  1. 1. Fetch datapackage.json to inspect schema and resources
  2. 2. Download data resources listed in datapackage.json
  3. 3. Read README.md for full context

Data Files

Explore with AI

p_values_analysis

Download

Download CSV

About

Last updated
12 March 2026
Total rows
...
Format
CSV
File size
1.07 MB

raw_anonymized_data

Download

Download CSV

About

Last updated
12 March 2026
Total rows
...
Format
CSV
File size
221 kB

About this dataset

Nutrition Studies

This directory contains data and code behind the story You Can’t Trust What You Read About Nutrition.

Many studies of diet and nutrition include multiple variables with vast amounts of data, making it easy to p-hack your way to sexy (and false) results. We learned this firsthand when we invited readers to take a survey about their eating habits known as the food frequency questionnaire and answer a few other questions about themselves. We ended up with 54 complete responses and looked for associations much as researchers look for links between foods and dreaded diseases. It was easy to find them.

Warning: This is evil (statistical) work. Do not go to the dark side. Do not try this at home.

This directory contains three files:

FileDescription
raw_anonymized_data.csvThe FFQ and survey data from 54 respondents
p_hacking.RAn R script that performs 27,716 regressions
p_values_analysis.csvThe output data file listing the p-values

Note: This is an intentionally shady regression analysis, both because of the p-hacking or data mining behind running more than 27,000 regressions and because the statistics reported were the p-values of the characteristics (the independent variables).

IN OTHER WORDS: THIS IS NOT AN EXAMPLE OF SOUND DATA ANALYSIS.

This dataset was scraped from FiveThirtyEight - nutrition-studies