Birdwatch Note
2023-11-27 04:34:26 UTC - MISINFORMED_OR_POTENTIALLY_MISLEADING
There is no evidence PCR tests used for COVID-19 are defective. The false positive rate should be close to zero. Most false-positive results are thought to be due to lab contamination or other problems with how the lab has performed the test, not limitations of the test itself https://www.health.harvard.edu/blog/which-test-is-best-for-covid-19-2020081020734
Written by F735563C1D6CACAE98B239A5BF3B6B29334E5A32093D655B66C4A4A96408409D
Participant Details
Original Tweet
Tweet embedding is no longer reliably available, due to the platform's instability (in terms of both technology and policy). If the Tweet still exists, you can view it here: https://twitter.com/foo_bar/status/1728800615893999978
Please note, though, that you may need to have your own Twitter account to access that page. I am currently exploring options for archiving Tweet data in a post-API context.
All Information
- ID - 1728995672743989535
- noteId - 1728995672743989535
- participantId -
- noteAuthorParticipantId - F735563C1D6CACAE98B239A5BF3B6B29334E5A32093D655B66C4A4A96408409D Participant Details
- createdAtMillis - 1701059666226
- tweetId - 1728800615893999978
- classification - MISINFORMED_OR_POTENTIALLY_MISLEADING
- believable -
- harmful -
- validationDifficulty -
- misleadingOther - 0
- misleadingFactualError - 1
- misleadingManipulatedMedia - 0
- misleadingOutdatedInformation - 1
- misleadingMissingImportantContext - 0
- misleadingUnverifiedClaimAsFact - 0
- misleadingSatire - 0
- notMisleadingOther - 0
- notMisleadingFactuallyCorrect - 0
- notMisleadingOutdatedButNotWhenWritten - 0
- notMisleadingClearlySatire - 0
- notMisleadingPersonalOpinion - 0
- trustworthySources - 1
- summary
- There is no evidence PCR tests used for COVID-19 are defective. The false positive rate should be close to zero. Most false-positive results are thought to be due to lab contamination or other problems with how the lab has performed the test, not limitations of the test itself https://www.health.harvard.edu/blog/which-test-is-best-for-covid-19-2020081020734
Note Status History
createdAt | timestampMillisOfFirstNonNMRStatus | firstNonNMRStatus | timestampMillisOfCurrentStatus | currentStatus | timestampMillisOfLatestNonNMRStatus | mostRecentNonNMRStatus | participantId |
2023-11-27 04:34:26 UTC (1701059666226) |
1969-12-31 23:59:59 UTC (-1) |
2023-11-28 03:24:11 UTC (1701141851422) |
NEEDS_MORE_RATINGS | 1969-12-31 23:59:59 UTC (-1) |
Note Ratings
rated at | rated by | |
2023-11-27 13:44:55 -0600 | Rating Details | |
2023-11-27 13:36:35 -0600 | Rating Details | |
2023-11-27 10:58:01 -0600 | Rating Details | |
2023-11-27 10:54:36 -0600 | Rating Details | |
2023-11-27 09:54:00 -0600 | Rating Details | |
2023-11-27 08:46:41 -0600 | Rating Details | |
2023-11-27 08:02:06 -0600 | Rating Details | |
2023-11-27 06:04:34 -0600 | Rating Details | |
2023-11-27 05:56:25 -0600 | Rating Details | |
2023-11-27 05:55:36 -0600 | Rating Details | |
2023-11-27 05:22:37 -0600 | Rating Details | |
2023-11-27 04:11:38 -0600 | Rating Details | |
2023-11-27 03:58:14 -0600 | Rating Details | |
2023-11-27 03:27:55 -0600 | Rating Details | |
2023-11-27 02:36:15 -0600 | Rating Details | |
2023-11-27 02:09:06 -0600 | Rating Details | |
2023-11-27 01:53:30 -0600 | Rating Details | |
2023-11-27 01:05:36 -0600 | Rating Details | |
2023-11-27 00:56:52 -0600 | Rating Details | |
2023-11-27 00:55:37 -0600 | Rating Details | |
2023-11-27 00:52:35 -0600 | Rating Details | |
2023-11-27 00:44:26 -0600 | Rating Details | |
2023-11-27 00:27:46 -0600 | Rating Details | |
2023-11-26 23:16:33 -0600 | Rating Details | |
2023-11-26 22:52:28 -0600 | Rating Details | |
2023-11-26 22:48:12 -0600 | Rating Details | |
2023-11-26 22:44:20 -0600 | Rating Details | |
2023-11-26 22:43:26 -0600 | Rating Details | |
2023-11-29 13:58:23 -0600 | Rating Details | |
2023-11-27 23:18:38 -0600 | Rating Details | |
2023-11-27 23:17:21 -0600 | Rating Details | |
2023-11-27 15:59:02 -0600 | Rating Details | |
2023-11-27 15:14:48 -0600 | Rating Details | |
2023-11-27 07:45:23 -0600 | Rating Details | |
2023-11-27 07:22:13 -0600 | Rating Details | |
2023-11-27 06:24:15 -0600 | Rating Details | |
2023-11-27 04:33:07 -0600 | Rating Details | |
2023-11-27 02:58:08 -0600 | Rating Details | |
2023-11-27 02:24:15 -0600 | Rating Details | |
2023-11-27 00:48:22 -0600 | Rating Details | |
2023-11-27 00:39:17 -0600 | Rating Details | |
2023-11-27 00:37:45 -0600 | Rating Details | |
2023-11-27 00:20:52 -0600 | Rating Details | |
2023-11-26 23:55:38 -0600 | Rating Details | |
2023-11-26 23:06:03 -0600 | Rating Details | |
2023-11-26 23:03:11 -0600 | Rating Details | |
2023-11-26 23:00:53 -0600 | Rating Details | |
2023-11-26 23:00:50 -0600 | Rating Details | |
2023-11-26 22:56:02 -0600 | Rating Details | |
2023-11-26 22:50:53 -0600 | Rating Details | |
2023-11-26 22:50:32 -0600 | Rating Details | |
2023-11-26 22:48:08 -0600 | Rating Details | |
2023-11-26 22:47:49 -0600 | Rating Details | |
2023-12-04 11:38:01 -0600 | Rating Details | |
2023-11-29 10:25:48 -0600 | Rating Details | |
2023-11-29 03:19:51 -0600 | Rating Details | |
2023-11-27 06:36:00 -0600 | Rating Details | |
2023-11-27 04:19:58 -0600 | Rating Details | |
2023-11-27 04:03:30 -0600 | Rating Details | |
2023-11-27 03:02:22 -0600 | Rating Details | |
2023-11-27 01:58:32 -0600 | Rating Details | |
2023-11-27 00:59:28 -0600 | Rating Details | |
2023-11-26 23:50:29 -0600 | Rating Details | |
2023-11-26 23:34:21 -0600 | Rating Details | |
2023-11-26 23:09:09 -0600 | Rating Details |