Fig 1.
Distribution of responses (yes/no) to question asking if participants currently own or have owned cryptocurrency.
Bars indicate the percentage of participants who selected each response. N = 2,001.
Fig 2.
Associations with demographics variables.
Point-biserial correlations between cryptocurrency ownership and various demographic categories. Error bars represent 95% confidence intervals. N = 2,001.
Fig 3.
Associations with variables related to conspiracy thinking.
Point-biserial correlations between cryptocurrency ownership and variables related to thinking styles, conspiracy beliefs, and attitudes toward science. Error bars represent 95% confidence intervals. N = 2,001.
Fig 4.
Associations with left/right political orientations and attitudes.
Point-biserial correlations between cryptocurrency ownership and ratings of traditional left/right political orientations and “feeling thermometer (0–100) ratings of various political figures and groups. Error bars represent 95% confidence intervals. N = 2,001.
Fig 5.
Associations with non-left/right political orientations and attitudes.
Point-biserial correlations between cryptocurrency ownership and ratings of non-left/right political orientations and “feeling thermometer (0–100) ratings of various political figures and groups. Error bars represent 95% confidence intervals. N = 2,001.
Fig 6.
Associations with left/right political orientations and attitudes.
Point-biserial correlations between cryptocurrency ownership and ratings of traditional left/right political orientations and “feeling thermometer (0–100) ratings of various political figures and groups. Error bars represent 95% confidence intervals. N = 2,001.
Fig 7.
Associations with interpersonal and political behaviors.
Point-biserial correlations between cryptocurrency ownership and various interpersonal and political behaviors. Error bars represent 95% confidence intervals. N = 2,001.
Fig 8.
Associations with personality, emotional, and motivational attributes.
Point-biserial correlations between cryptocurrency ownership and personality, emotional, and motivational variables. Error bars represent 95% confidence intervals. N = 2,001.
Fig 9.
Associations with information environment.
Point-biserial correlations between cryptocurrency ownership and various online and offline group (A) and individual (B) sources of news information. Error bars represent 95% confidence intervals. N = 2,001.
Fig 10.
Logistic regression predicting cryptocurrency ownership from demographics, thinking styles and intellectual attitudes, personality characteristics, and media environment.
Coefficients are log odds. Error bars represent 95% confidence intervals. N = 2,001.
Fig 11.
Logistic regression predicting cryptocurrency ownership from individual online media sources.
Coefficients are log odds. Error bars represent 95% confidence intervals. N = 2,001.