Birdwatch Archive

Birdwatch Note Rating

2023-01-10 07:45:04 UTC - NOT_HELPFUL

Rated by Participant: F5EF7E88C24D7EC99B7858F253A58A0780C9E96302CE2B55A3116E6CAFDEA79F
Participant Details

Original Note:

There is no scientific evidence for earthquake predictions. There is always a chance for earthquakes in places like Afghanistan, but specific predictions perform no better than random when tested. More from scientists: https://www.usgs.gov/faqs/can-you-predict-earthquakes https://scienceexchange.caltech.edu/topics/earthquakes/earthquakes-probabilities https://pnsn.org/outreach/faq/earthquake-prediction https://sitn.hms.harvard.edu/flash/2019/predicting-next-big-earthquake/ https://www.scientificamerican.com/article/can-we-predict-earthquakes-at-all1/ User's history of pseudoscience claims: https://www.vice.com/en/article/kz4jyz/earthquake-conspiracy-theorists-are-wreaking-havoc-during-emergencies https://www.inverse.com/science/earthquake-prediction-dutchsinse-holmquist-conspiracy

All Note Details

Original Tweet

All Information

  • noteId - 1611201108462174209
  • participantId -
  • raterParticipantId - F5EF7E88C24D7EC99B7858F253A58A0780C9E96302CE2B55A3116E6CAFDEA79F
  • createdAtMillis - 1673336704460
  • version - 2
  • agree - 0
  • disagree - 0
  • helpful - 0
  • notHelpful - 0
  • helpfulnessLevel - NOT_HELPFUL
  • helpfulOther - 0
  • helpfulInformative - 0
  • helpfulClear - 0
  • helpfulEmpathetic - 0
  • helpfulGoodSources - 0
  • helpfulUniqueContext - 0
  • helpfulAddressesClaim - 0
  • helpfulImportantContext - 0
  • helpfulUnbiasedLanguage - 0
  • notHelpfulOther - 0
  • notHelpfulIncorrect - 1
  • notHelpfulSourcesMissingOrUnreliable - 1
  • notHelpfulOpinionSpeculationOrBias - 0
  • notHelpfulMissingKeyPoints - 1
  • notHelpfulOutdated - 0
  • notHelpfulHardToUnderstand - 0
  • notHelpfulArgumentativeOrBiased - 0
  • notHelpfulOffTopic - 0
  • notHelpfulSpamHarassmentOrAbuse - 1
  • notHelpfulIrrelevantSources - 0
  • notHelpfulOpinionSpeculation - 1
  • notHelpfulNoteNotNeeded - 0
  • ratingsId - 1611201108462174209F5EF7E88C24D7EC99B7858F253A58A0780C9E96302CE2B55A3116E6CAFDEA79F