Comments by "LW1zFog" (@lw1zfog) on "Daily Mail World" channel.

  1. 120
  2. 100
  3. 66
  4. 63
  5. 53
  6. 52
  7. 49
  8. 31
  9. 30
  10. 29
  11. 28
  12. 25
  13. 24
  14. 23
  15. 20
  16. 19
  17. 19
  18. 18
  19. 18
  20. 17
  21. 16
  22. 16
  23. 16
  24. 16
  25. 15
  26. 15
  27. 15
  28. 14
  29. 13
  30. 13
  31. 13
  32. 13
  33. 12
  34. 12
  35. 12
  36. 11
  37. 11
  38. 11
  39. 11
  40. 11
  41. 11
  42. 11
  43. 11
  44. 11
  45. 10
  46. 10
  47. 10
  48. 10
  49. 10
  50. 9
  51. 9
  52. 9
  53. 9
  54. 9
  55. 9
  56. 9
  57. 9
  58. 9
  59. 9
  60. 9
  61. 8
  62. 8
  63. 8
  64. 8
  65. 8
  66. 8
  67. 8
  68. 7
  69. 7
  70. 7
  71. 7
  72. 7
  73. 7
  74. 7
  75. 7
  76. 7
  77. 7
  78. 7
  79. 7
  80. 7
  81. 7
  82. 6
  83. 6
  84. 6
  85. 6
  86. 6
  87. 6
  88. 6
  89. 6
  90. 6
  91. 6
  92. 6
  93. 6
  94. 6
  95. 6
  96. 6
  97. 6
  98. 6
  99. 6
  100. 6
  101. 6
  102. 6
  103. 6
  104. 6
  105. 6
  106. 6
  107. 6
  108. 6
  109. 5
  110. 5
  111. 5
  112. 5
  113. 5
  114. 5
  115. 5
  116. 5
  117. 5
  118. 5
  119. 5
  120. 5
  121. 5
  122. 5
  123. 5
  124. 5
  125. 5
  126. 5
  127. 5
  128. 5
  129. 5
  130. 5
  131. 5
  132. 5
  133. 5
  134. 5
  135. 5
  136. 5
  137. 4
  138. 4
  139. 4
  140. 4
  141. 4
  142. 4
  143. 4
  144. 4
  145. 4
  146. 4
  147. 4
  148. 4
  149. 4
  150. 4
  151. 4
  152. 4
  153. 4
  154. 4
  155. 4
  156. 4
  157. 4
  158. 4
  159. 4
  160. 4
  161. 4
  162. 4
  163. 4
  164. 4
  165. 4
  166. 4
  167. 4
  168. 4
  169. 4
  170. 4
  171. 4
  172. 4
  173. 4
  174. 4
  175. 4
  176. 4
  177. 4
  178. 4
  179. 4
  180. 4
  181. 4
  182. 4
  183. 4
  184. 4
  185. 4
  186. 4
  187. 4
  188. 4
  189. 4
  190. 4
  191. 4
  192. 4
  193. 4
  194. 4
  195. 4
  196. 4
  197. 4
  198. 4
  199. 4
  200. 4
  201. 4
  202. 4
  203. 4
  204. 4
  205. 4
  206. 4
  207. 3
  208. 3
  209. 3
  210. 3
  211. 3
  212. 3
  213. 3
  214. 3
  215. 3
  216. 3
  217. 3
  218. 3
  219. 3
  220. 3
  221. 3
  222. 3
  223. 3
  224. 3
  225. 3
  226. 3
  227. 3
  228. 3
  229. 3
  230. 3
  231. 3
  232. 3
  233. 3
  234. 3
  235. 3
  236. 3
  237. 3
  238. 3
  239. 3
  240. 3
  241. 3
  242. 3
  243. 3
  244. 3
  245. 3
  246. 3
  247. 3
  248. 3
  249. 3
  250. 3
  251. 3
  252. 3
  253. 3
  254. 3
  255. 3
  256. 3
  257. 3
  258. 3
  259. 3
  260. 3
  261. 3
  262. 3
  263. 3
  264. 3
  265. 3
  266. 3
  267. 3
  268. 3
  269. 3
  270. 3
  271. 3
  272. 3
  273. 3
  274. 3
  275. 3
  276. 3
  277. 3
  278. 3
  279. 3
  280. 3
  281. 3
  282. 3
  283. 3
  284. 3
  285. 3
  286. 3
  287. 3
  288. 3
  289. 3
  290. 3
  291. 3
  292. 3
  293. 3
  294. 3
  295. 3
  296. 3
  297. 3
  298. 3
  299. 3
  300. 3
  301. 3
  302. 3
  303. 3
  304. 3
  305. 3
  306. 3
  307. 3
  308. 3
  309. 3
  310. 3
  311. 3
  312. 3
  313. 3
  314. 3
  315. 3
  316. 3
  317. 3
  318. 3
  319. 3
  320. 3
  321. 3
  322. 3
  323. 3
  324. 3
  325. 3
  326. 2
  327. 2
  328. 2
  329. 2
  330. 2
  331. 2
  332. 2
  333. 2
  334. 2
  335. 2
  336. 2
  337. 2
  338. 2
  339. 2
  340. 2
  341. 2
  342. 2
  343. 2
  344. 2
  345. 2
  346. 2
  347. 2
  348. 2
  349. 2
  350. 2
  351. 2
  352. 2
  353. 2
  354. 2
  355. 2
  356. 2
  357. 2
  358. 2
  359. 2
  360. 2
  361. 2
  362. 2
  363. 2
  364. 2
  365. 2
  366. 2
  367. 2
  368. 2
  369. 2
  370. 2
  371. 2
  372. 2
  373. 2
  374. 2
  375. 2
  376. 2
  377. 2
  378. 2
  379. 2
  380. 2
  381. 2
  382. 2
  383. 2
  384. 2
  385. 2
  386. 2
  387. 2
  388. 2
  389. 2
  390. 2
  391. 2
  392. 2
  393. 2
  394. 2
  395. 2
  396. 2
  397. 2
  398. 2
  399. 2
  400. 2
  401. 2
  402. 2
  403. 2
  404. 2
  405. 2
  406. 2
  407. 2
  408. 2
  409. 2
  410. 2
  411. 2
  412. 2
  413. 2
  414. 2
  415. 2
  416. 2
  417. 2
  418. 2
  419. 2
  420. 2
  421. 2
  422. 2
  423. 2
  424. 2
  425. 2
  426. 2
  427. 2
  428. 2
  429. 2
  430. 2
  431. 2
  432. 2
  433. 2
  434. 2
  435. 2
  436. 2
  437. 2
  438. 2
  439. 2
  440. 2
  441. 2
  442. 2
  443. 2
  444. 2
  445. 2
  446. 2
  447. 2
  448. 2
  449. 2
  450. 2
  451. 2
  452. 2
  453. 2
  454. 2
  455. 2
  456. 2
  457. 2
  458. 2
  459. 2
  460. 2
  461. 2
  462. 2
  463. 2
  464. 2
  465. 2
  466. 2
  467. 2
  468. 2
  469. 2
  470. 2
  471. 2
  472. 2
  473. 2
  474. 2
  475. 2
  476. 2
  477. 2
  478. 2
  479. 2
  480. 2
  481. 2
  482. 2
  483. 2
  484. 2
  485. 2
  486. 2
  487. 2
  488. 2
  489. 2
  490. 2
  491. 2
  492. 2
  493. 2
  494. 2
  495. 2
  496. 2
  497. 2
  498. 2
  499. 2
  500. 2
  501. 2
  502. 2
  503. 2
  504. 2
  505. 2
  506. 2
  507. 2
  508. 2
  509. 2
  510. 2
  511. 2
  512. 2
  513. 2
  514. 2
  515. 2
  516. 2
  517. 2
  518. 2
  519. 2
  520. 2
  521. 2
  522. 2
  523. 2
  524. 2
  525. 2
  526. 2
  527. 2
  528. 2
  529. 2
  530. 2
  531. 2
  532. 2
  533. 2
  534. 2
  535. 2
  536. 2
  537. 2
  538. 2
  539. 2
  540. 2
  541. 2
  542. 2
  543. 2
  544. 2
  545. 2
  546. 2
  547. 2
  548. 2
  549. 2
  550. 2
  551. 2
  552. 2
  553. 2
  554. 2
  555. 2
  556. 2
  557. 2
  558. 2
  559. 2
  560. 2
  561. 2
  562. 2
  563. 2
  564. 2
  565. 2
  566. 2
  567. 2
  568. 2
  569. 2
  570. 2
  571. 2
  572. 2
  573. 2
  574. 2
  575. 2
  576. 2
  577. 2
  578. 2
  579. 2
  580. 2
  581. 2
  582. 2
  583. 2
  584. 2
  585. 2
  586. 2
  587. 2
  588. 2
  589. 2
  590. 2
  591. 2
  592. 2
  593. 2
  594. 2
  595. 2
  596. 2
  597. 2
  598. 2
  599. 2
  600. 2
  601. 2
  602. 2
  603. 2
  604. 2
  605. 2
  606. 2
  607. 2
  608. 2
  609. 2
  610. 2
  611. 2
  612. 2
  613. 2
  614. 2
  615. 2
  616. 2
  617. 2
  618. 2
  619. 2
  620. 2
  621. 2
  622. 2
  623. 2
  624. 2
  625. 2
  626. 2
  627. 2
  628. 2
  629. 2
  630. 2
  631. 1
  632. 1
  633. 1
  634. 1
  635. 1
  636. 1
  637. 1
  638. 1
  639. 1
  640. 1
  641. 1
  642. 1
  643. 1
  644. 1
  645. 1
  646. 1
  647. 1
  648. 1
  649. 1
  650. 1
  651. 1
  652. 1
  653. 1
  654. 1
  655. 1
  656. 1
  657. 1
  658. 1
  659. 1
  660. 1
  661. 1
  662. 1
  663. 1
  664. 1
  665. 1
  666. 1
  667. 1
  668. 1
  669. 1
  670. 1
  671. 1
  672. 1
  673. 1
  674. 1
  675. 1
  676. 1
  677. 1
  678. 1
  679. 1
  680. 1
  681. 1
  682. 1
  683. 1
  684. 1
  685. 1
  686. 1
  687. 1
  688. 1
  689. 1
  690. 1
  691. 1
  692. 1
  693. 1
  694. 1
  695. 1
  696. 1
  697. 1
  698. 1
  699. 1
  700. 1
  701. 1
  702. 1
  703. 1
  704. 1
  705. 1
  706. 1
  707. 1
  708. 1
  709. 1
  710. 1
  711. 1
  712. 1
  713. 1
  714. 1
  715. 1
  716. 1
  717. 1
  718. 1
  719. 1
  720. 1
  721. 1
  722. 1
  723. 1
  724. 1
  725. 1
  726. 1
  727. 1
  728. 1
  729. 1
  730. 1
  731. 1
  732. 1
  733. 1
  734. 1
  735. 1
  736. 1
  737. 1
  738. 1
  739. 1
  740. 1
  741. There is increasing evidence that vaccinated individuals continue to have a relevant role in transmission. In Massachusetts, USA, a total of 469 new COVID-19 cases were detected during various events in July, 2021, and 346 (74%) of these cases were in people who were fully or partly vaccinated, 274 (79%) of whom were symptomatic. Cycle threshold values were similarly low between people who were fully vaccinated (median 22·8) and people who were unvaccinated, not fully vaccinated, or whose vaccination status was unknown (median 21·5), indicating a high viral load even among people who were fully vaccinated.2 In the USA, a total of 10 262 COVID-19 cases were reported in vaccinated people by April 30, 2021, of whom 2725 (26·6%) were asymptomatic, 995 (9·7%) were hospitalised, and 160 (1·6%) died.3 In Germany, 55·4% of symptomatic COVID-19 cases in patients aged 60 years or older were in fully vaccinated individuals,4 and this proportion is increasing each week. In Münster, Germany, new cases of COVID-19 occurred in at least 85 (22%) of 380 people who were fully vaccinated or who had recovered from COVID-19 and who attended a nightclub.5 People who are vaccinated have a lower risk of severe disease but are still a relevant part of the pandemic. It is therefore wrong and dangerous to speak of a pandemic of the unvaccinated. Historically, both the USA and Germany have engendered negative experiences by stigmatising parts of the population for their skin colour or religion. I call on high-level officials and scientists to stop the inappropriate stigmatisation of unvaccinated people, who include our patients, colleagues, and other fellow citizens, and to put extra effort into bringing society together.’ - COVID-19: stigmatising the unvaccinated is not justified. Professor Günter Kampf, The Lancet, November 20, 2021
    1
  742. 1
  743. 1
  744. 1
  745. 1
  746. 1
  747. 1
  748. 1
  749. 1
  750. 1
  751. 1
  752. 1
  753. 1
  754. 1
  755. 1
  756. 1
  757. 1
  758. 1
  759. 1
  760. 1
  761. 1
  762. 1
  763. 1
  764. 1
  765. 1
  766. 1
  767. 1
  768. 1
  769. 1
  770. 1
  771. 1
  772. 1
  773. 1
  774. 1
  775. 1
  776. 1
  777. 1
  778. 1
  779. 1
  780. 1
  781. 1
  782. 1
  783. 1
  784. 1
  785. 1
  786. 1
  787. 1
  788. 1
  789. 1
  790. 1
  791. 1
  792. 1
  793. 1
  794. 1
  795. 1
  796. 1
  797. 1
  798. 1
  799. 1
  800. 1
  801. 1
  802. 1
  803. 1
  804. 1
  805. 1
  806. 1
  807. 1
  808. 1
  809. 1
  810. 1
  811. 1
  812. 1
  813. 1
  814. 1
  815. 1
  816. 1
  817. 1
  818. 1
  819. 1
  820. 1
  821. 1
  822. 1
  823. 1
  824. 1
  825. 1
  826. 1
  827. 1
  828. 1
  829. 1
  830. 1
  831. 1
  832. 1
  833. 1
  834. 1
  835. 1
  836. 1
  837. 1
  838. 1
  839. 1
  840. 1
  841. 1
  842. 1
  843. 1
  844. 1
  845. 1
  846. 1
  847. 1
  848. 1
  849. 1
  850. 1
  851. 1
  852. 1
  853. 1
  854. 1
  855. 1
  856. 1
  857. 1
  858. 1
  859. 1
  860. 1
  861. 1
  862. 1
  863. 1
  864. 1
  865. 1
  866. 1
  867. 1
  868. 1
  869. 1
  870. 1
  871. 1
  872. 1
  873. 1
  874. 1
  875. 1
  876. 1
  877. 1
  878. 1
  879. 1
  880. 1
  881. 1
  882. 1
  883. 1
  884. 1
  885. 1
  886. 1
  887. 1
  888. 1
  889. 1
  890. 1
  891. 1
  892. 1
  893. 1
  894. 1
  895. 1
  896. 1
  897. 1
  898. 1
  899. 1
  900. 1
  901. 1
  902. 1
  903. 1
  904. 1
  905. 1
  906. 1
  907. 1
  908. 1
  909. 1
  910. 1
  911. 1
  912. 1
  913. 1
  914. 1
  915. 1
  916. 1
  917. 1
  918. 1
  919. 1
  920. 1
  921. 1
  922. 1
  923. 1
  924. 1
  925. 1
  926. 1
  927. 1
  928. 1
  929. 1
  930. 1
  931. 1
  932. 1
  933. 1
  934. 1
  935. 1
  936. 1
  937. 1
  938. 1
  939. 1
  940. 1
  941. 1
  942. 1
  943. 1
  944. 1
  945. 1
  946. 1
  947. 1
  948. 1
  949. 1
  950. 1
  951. 1
  952. 1
  953. 1
  954. 1
  955. 1
  956. 1
  957. 1
  958. 1
  959. 1
  960. 1
  961. 1
  962. 1
  963. 1
  964. 1
  965. 1
  966. 1
  967. 1
  968. 1
  969. 1
  970. 1
  971. 1
  972. 1
  973. 1
  974. 1
  975. 1
  976. 1
  977. 1
  978. 1
  979. 1
  980. 1
  981. 1
  982. 1
  983. 1
  984. 1
  985. 1
  986. 1
  987. 1
  988. 1
  989. 1
  990. 1
  991. 1
  992. 1
  993. 1
  994. 1
  995. 1
  996. 1
  997. 1
  998. 1
  999. 1
  1000. 1
  1001. 1
  1002. 1
  1003. 1
  1004. 1
  1005. 1
  1006. 1
  1007. 1
  1008. 1
  1009. 1
  1010. 1
  1011. 1
  1012. 1
  1013. 1
  1014. 1
  1015. 1
  1016. 1
  1017. 1
  1018. 1
  1019. 1
  1020. 1
  1021. 1
  1022. 1
  1023. 1
  1024. 1
  1025. 1
  1026. 1
  1027. 1
  1028. 1
  1029. 1
  1030. 1
  1031. 1
  1032. 1
  1033. 1
  1034. 1
  1035. 1
  1036. 1
  1037. 1
  1038. 1
  1039. 1
  1040. 1
  1041. 1
  1042. 1
  1043. 1
  1044. 1
  1045. 1
  1046. 1
  1047. 1
  1048. 1
  1049. 1
  1050. 1
  1051. 1
  1052. 1
  1053. 1
  1054. ‘The little-reported Stanford University/Graphika research on Western disinformation, analysed by Declassified Australia in September, examined just under 300,000 tweets from 146 Twitter accounts. The Meta/Facebook research on Russian disinformation reported widely by mainstream media, including by the Australian Broadcasting Corporation (ABC) a fortnight later, looked at only 1,600 Facebook accounts. Reports on the new research have appeared in only a few independent media sites, and on Russia’s RT. The ground-breaking study exposing a massive anti-Russia social media disinformation campaign has been effectively ignored by Western establishment media, showing how stories that don’t fit the desired pro-Western narrative are routinely buried. The Adelaide University researchers unearthed a massive organised pro-Ukraine influence operation underway from the early stages of the conflict. Overall, the study found automated “bot” accounts to be the source of between 60 to 80 percent of all tweets in the dataset. The published data shows that in the first week of the Ukraine-Russia war there was a huge mass of pro-Ukrainian hashtag bot activity. Approximately 3.5 million tweets using the hashtag #IStandWithUkraine were sent by bots in that first week. In fact, it was like someone had flicked a switch at the start of the war as pro-Ukraine bot activity suddenly burst into life. In that first day of the war the #IStandWithUkraine hashtag was used in as many as 38,000 tweets each hour, rising to 50,000 tweets an hour by day three of the war. By comparison, the data shows that in the first week there was an almost total absence of pro-Russian bot activity using the key hashtags. During that first week of the invasion, pro-Russian bots were sending off tweets using the #IStandWithPutin or #IStandWithRussia hashtags at a rate of only several hundred per hour.’ - ‘#IStandWithPutin versus #IStandWithUkraine: The interaction of bots and humans in discussion of the Russia/Ukraine war.’ - University of Adelaide’s School of Mathematical Science.v
    1
  1055. 1
  1056. 1
  1057. 1
  1058. 1
  1059. 1
  1060.  @omark-do2bt  ‘The little-reported Stanford University/Graphika research on Western disinformation, analysed by Declassified Australia in September, examined just under 300,000 tweets from 146 Twitter accounts. The Meta/Facebook research on Russian disinformation reported widely by mainstream media, including by the Australian Broadcasting Corporation (ABC) a fortnight later, looked at only 1,600 Facebook accounts. Reports on the new research have appeared in only a few independent media sites, and on Russia’s RT. The ground-breaking study exposing a massive anti-Russia social media disinformation campaign has been effectively ignored by Western establishment media, showing how stories that don’t fit the desired pro-Western narrative are routinely buried. The Adelaide University researchers unearthed a massive organised pro-Ukraine influence operation underway from the early stages of the conflict. Overall, the study found automated “bot” accounts to be the source of between 60 to 80 percent of all tweets in the dataset. The published data shows that in the first week of the Ukraine-Russia war there was a huge mass of pro-Ukrainian hashtag bot activity. Approximately 3.5 million tweets using the hashtag #IStandWithUkraine were sent by bots in that first week. In fact, it was like someone had flicked a switch at the start of the war as pro-Ukraine bot activity suddenly burst into life. In that first day of the war the #IStandWithUkraine hashtag was used in as many as 38,000 tweets each hour, rising to 50,000 tweets an hour by day three of the war. By comparison, the data shows that in the first week there was an almost total absence of pro-Russian bot activity using the key hashtags. During that first week of the invasion, pro-Russian bots were sending off tweets using the #IStandWithPutin or #IStandWithRussia hashtags at a rate of only several hundred per hour.’ - ‘#IStandWithPutin versus #IStandWithUkraine: The interaction of bots and humans in discussion of the Russia/Ukraine war.’ - University of Adelaide’s School of Mathematical Science.
    1
  1061. 1
  1062. 1
  1063. 1
  1064. 1
  1065. 1
  1066. 1
  1067. 1
  1068. 1
  1069. 1
  1070. 1
  1071. 1
  1072. 1
  1073. 1
  1074. 1
  1075. 1
  1076. 1
  1077. 1
  1078. 1
  1079. 1
  1080. 1
  1081. 1
  1082. 1
  1083. 1
  1084. 1
  1085. 1
  1086. 1
  1087. 1
  1088. 1
  1089. 1
  1090. 1
  1091. 1
  1092. 1
  1093. 1
  1094. 1
  1095. 1
  1096. 1
  1097. 1
  1098. 1
  1099. 1
  1100. 1
  1101. 1
  1102. 1
  1103. 1
  1104. 1
  1105. 1
  1106. 1
  1107. 1
  1108. 1
  1109. 1
  1110. 1
  1111. 1
  1112. 1
  1113. 1
  1114. 1
  1115. 1
  1116. 1
  1117. 1
  1118. 1
  1119. 1
  1120. 1
  1121. 1
  1122. 1
  1123. 1
  1124. 1
  1125. 1
  1126. 1
  1127. 1
  1128. 1
  1129. 1
  1130. 1
  1131. 1
  1132. 1
  1133. 1
  1134. 1
  1135. 1
  1136. 1
  1137. 1
  1138. 1
  1139. 1
  1140. 1
  1141. 1
  1142. 1
  1143. 1
  1144. 1
  1145. 1
  1146. 1
  1147. 1
  1148. 1
  1149. 1
  1150. 1
  1151. 1
  1152. 1
  1153. 1
  1154. 1
  1155. 1
  1156. 1
  1157. 1
  1158. 1
  1159. 1
  1160. 1
  1161. 1
  1162. 1
  1163. 1
  1164. 1
  1165. 1
  1166. 1
  1167. 1
  1168. 1
  1169. 1
  1170. 1
  1171. 1
  1172. 1
  1173. 1
  1174. 1
  1175. 1
  1176. 1
  1177. 1
  1178. 1
  1179. 1
  1180. 1
  1181. 1
  1182. 1
  1183. 1
  1184. 1
  1185. 1
  1186. 1
  1187. 1
  1188. 1
  1189. 1
  1190. 1
  1191. 1
  1192. 1
  1193. 1
  1194. 1
  1195. 1
  1196. ‘The little-reported Stanford University/Graphika research on Western disinformation, analysed by Declassified Australia in September, examined just under 300,000 tweets from 146 Twitter accounts. The Meta/Facebook research on Russian disinformation reported widely by mainstream media, including by the Australian Broadcasting Corporation (ABC) a fortnight later, looked at only 1,600 Facebook accounts. Reports on the new research have appeared in only a few independent media sites, and on Russia’s RT. The ground-breaking study exposing a massive anti-Russia social media disinformation campaign has been effectively ignored by Western establishment media, showing how stories that don’t fit the desired pro-Western narrative are routinely buried. The Adelaide University researchers unearthed a massive organised pro-Ukraine influence operation underway from the early stages of the conflict. Overall, the study found automated “bot” accounts to be the source of between 60 to 80 percent of all tweets in the dataset. The published data shows that in the first week of the Ukraine-Russia war there was a huge mass of pro-Ukrainian hashtag bot activity. Approximately 3.5 million tweets using the hashtag #IStandWithUkraine were sent by bots in that first week. In fact, it was like someone had flicked a switch at the start of the war as pro-Ukraine bot activity suddenly burst into life. In that first day of the war the #IStandWithUkraine hashtag was used in as many as 38,000 tweets each hour, rising to 50,000 tweets an hour by day three of the war. By comparison, the data shows that in the first week there was an almost total absence of pro-Russian bot activity using the key hashtags. During that first week of the invasion, pro-Russian bots were sending off tweets using the #IStandWithPutin or #IStandWithRussia hashtags at a rate of only several hundred per hour.’ - ‘#IStandWithPutin versus #IStandWithUkraine: The interaction of bots and humans in discussion of the Russia/Ukraine war.’ - University of Adelaide’s School of Mathematical Science.
    1
  1197. 1
  1198. 1
  1199. 1
  1200. 1
  1201. 1
  1202. 1
  1203. 1
  1204. 1
  1205. 1
  1206. 1
  1207. 1
  1208. 1
  1209. 1
  1210. 1
  1211. 1
  1212. 1
  1213. 1
  1214. 1
  1215. 1
  1216. 1
  1217. 1
  1218. 1
  1219. 1
  1220. 1
  1221. 1
  1222. 1
  1223. 1
  1224. 1
  1225. 1
  1226. 1
  1227. 1
  1228. 1
  1229. 1
  1230. 1
  1231. 1
  1232. 1
  1233. 1
  1234. 1
  1235. 1
  1236. 1
  1237. 1
  1238. 1
  1239. 1
  1240. 1
  1241. 1
  1242. 1
  1243. 1
  1244. 1
  1245. 1
  1246. 1
  1247. 1
  1248. 1
  1249. 1
  1250. 1
  1251. 1
  1252. 1
  1253. 1
  1254. 1
  1255. 1
  1256. 1
  1257. 1
  1258. 1
  1259. 1
  1260. 1
  1261. 1
  1262. 1
  1263. 1
  1264. 1
  1265. 1
  1266. 1
  1267. 1
  1268. 1
  1269. 1
  1270. 1
  1271. 1
  1272. 1
  1273. 1
  1274. 1
  1275. 1
  1276. 1
  1277. 1
  1278. 1
  1279. 1
  1280. 1
  1281. 1
  1282. 1
  1283. 1
  1284. 1
  1285. 1
  1286. 1
  1287. 1
  1288. 1
  1289. 1
  1290. 1
  1291. 1
  1292. 1
  1293. 1
  1294. 1
  1295. 1
  1296. 1
  1297. 1
  1298. 1
  1299. 1
  1300. 1
  1301. 1
  1302. 1
  1303. 1
  1304. 1
  1305. 1
  1306. 1
  1307. 1
  1308. 1
  1309. 1
  1310. 1
  1311. 1
  1312. 1
  1313. 1
  1314. 1
  1315. 1
  1316. 1
  1317. 1
  1318. 1
  1319. 1
  1320. 1
  1321. 1
  1322. 1
  1323. 1
  1324. 1
  1325. 1
  1326. 1
  1327. 1
  1328. 1
  1329. 1
  1330. 1
  1331. 1
  1332. 1
  1333. 1
  1334. 1
  1335. 1
  1336. 1
  1337. 1
  1338. 1
  1339. 1
  1340. 1
  1341. 1
  1342. 1
  1343. 1
  1344. 1
  1345. 1
  1346. 1
  1347. 1
  1348. 1
  1349. 1
  1350. 1
  1351. 1
  1352. 1
  1353. 1
  1354. 1
  1355. 1
  1356. 1
  1357. 1
  1358. 1
  1359. 1
  1360. 1
  1361. 1
  1362. 1
  1363. 1
  1364. 1
  1365. 1
  1366. 1
  1367. 1
  1368. 1
  1369. 1
  1370. 1
  1371. 1
  1372. 1
  1373. 1
  1374. 1
  1375. 1
  1376. 1
  1377. 1
  1378. 1
  1379. 1
  1380. 1
  1381. 1
  1382. 1
  1383. 1
  1384. 1
  1385. 1
  1386. 1
  1387. 1
  1388. 1
  1389. 1
  1390. 1
  1391. 1
  1392. 1
  1393. 1
  1394. 1
  1395. 1
  1396. 1
  1397. 1
  1398. 1
  1399. 1
  1400. 1
  1401. 1
  1402. 1
  1403. 1
  1404. 1
  1405. 1
  1406. 1
  1407. 1
  1408. 1
  1409. 1
  1410. 1
  1411. 1
  1412. 1
  1413. 1
  1414. 1
  1415. 1
  1416. 1
  1417. 1
  1418. 1
  1419. 1
  1420. 1
  1421. 1
  1422. 1
  1423. 1
  1424. 1
  1425. 1
  1426. 1
  1427. 1
  1428. 1
  1429. 1
  1430. 1
  1431. 1
  1432. 1
  1433. 1
  1434. 1
  1435. 1
  1436. 1
  1437. 1
  1438. 1
  1439. 1
  1440. 1
  1441. 1
  1442. 1
  1443. 1
  1444. 1
  1445. 1
  1446. 1
  1447. 1
  1448. 1
  1449. 1
  1450. 1
  1451. 1
  1452. 1
  1453. 1
  1454. 1
  1455. 1
  1456. 1
  1457. 1
  1458. 1
  1459. 1
  1460. 1
  1461. 1
  1462. 1
  1463. 1
  1464. 1
  1465. 1
  1466. 1
  1467. 1
  1468. 1
  1469. 1
  1470. 1
  1471. 1
  1472. 1
  1473. 1
  1474. 1
  1475. ‘No member of the COVID-19 JCVI sub-committee declared conflicts of interest. Leaving the lay member aside, 5 of the 14 members reported information in their ‘non-declaration’ that could be seen as a conflict of interest. I did a cursory search on those who declared nothing – even in additional information. Of these 9 members, 6 had something that could be seen as a conflict of interest, while 3 didn’t. The majority of the COVID-19 JCVI sub-committee members have conflicts of interest. These members don’t seem to realise that their research or institution receiving huge sums of money from pharmaceutical companies and/or the Gates Foundation is a conflict of interest. The main information page about the JCVI on the UK government web site describes the JCVI as the body that “advises UK health departments on immunisation” (Ref 27). It does not report the body as independent. The Code of Practice does, however (Ref 28). “The Joint Committee on Vaccination and Immunisation (JCVI, the Committee) is an independent Departmental Expert Committee and a statutory body.” Independent from what? The government, maybe, but not from industry. Members of the COVID-19 JCVI sub-committee work for organisations that receive approximately $1,000,000,000 – one billion dollars – from the Gates Foundation. Has this committee truly been able to provide an independent assessment of the risk and reward of the main products of interest of the Gates Foundation?’ - Dr Zöe Harcombe Ph.D.
    1
  1476. 1
  1477. 1
  1478. 1
  1479. 1
  1480. 1
  1481. 1
  1482. 1
  1483. 1
  1484. 1
  1485. 1
  1486. 1
  1487. 1
  1488. 1
  1489. 1
  1490. 1
  1491. 1
  1492. 1
  1493. 1
  1494. 1
  1495. 1
  1496. 1
  1497. 1
  1498. 1
  1499. 1
  1500. 1
  1501. 1
  1502. 1
  1503. 1
  1504. 1
  1505. 1
  1506. 1
  1507. 1
  1508. 1
  1509. 1
  1510. 1
  1511. 1
  1512. 1
  1513. 1
  1514. 1
  1515. 1
  1516. 1
  1517. 1
  1518. 1
  1519. 1
  1520. 1
  1521. 1
  1522. 1
  1523. 1
  1524. 1
  1525. 1
  1526. 1
  1527. 1
  1528. 1
  1529. 1
  1530. 1
  1531. 1
  1532. 1
  1533. 1
  1534. 1
  1535. 1
  1536. 1
  1537. 1
  1538. 1
  1539. 1
  1540. 1
  1541. 1
  1542. 1
  1543. 1
  1544. 1
  1545. 1
  1546. 1
  1547. 1
  1548. 1
  1549. 1
  1550. 1
  1551. 1
  1552. 1
  1553. 1
  1554. 1
  1555. 1
  1556. 1
  1557. 1
  1558. 1
  1559. 1
  1560. 1
  1561. 1
  1562. 1
  1563. 1
  1564. 1
  1565. 1
  1566. 1
  1567. 1
  1568. 1
  1569. 1
  1570. 1
  1571. 1
  1572. 1
  1573. 1
  1574. 1
  1575. 1
  1576. 1
  1577. 1
  1578. 1
  1579. 1
  1580. 1
  1581. 1
  1582. 1
  1583. 1
  1584. 1
  1585. 1
  1586. 1
  1587. 1
  1588. 1
  1589. 1
  1590. 1
  1591. 1
  1592. 1
  1593. 1
  1594. 1
  1595. 1
  1596. 1
  1597. 1
  1598. 1
  1599. 1
  1600. 1
  1601. 1
  1602. 1
  1603. 1
  1604. 1
  1605. 1
  1606. 1
  1607. 1
  1608. 1
  1609. 1
  1610. 1
  1611. 1
  1612. 1
  1613. 1
  1614. 1
  1615. 1
  1616. 1
  1617. 1
  1618. 1
  1619. 1
  1620. 1
  1621. 1
  1622. 1
  1623. 1
  1624. 1
  1625. 1
  1626. 1
  1627. 1
  1628. 1
  1629. 1
  1630. 1
  1631. 1
  1632. 1
  1633. 1
  1634. 1
  1635. 1
  1636. 1
  1637. 1
  1638. 1
  1639. 1
  1640. 1
  1641. 1
  1642. 1
  1643. 1
  1644. 1
  1645. 1
  1646. 1
  1647. 1
  1648. 1
  1649. 1
  1650. 1
  1651. 1
  1652. 1
  1653. 1
  1654. 1
  1655. 1
  1656. 1
  1657. 1
  1658. 1
  1659. 1
  1660. 1
  1661. 1
  1662. 1
  1663. 1
  1664. 1
  1665. 1
  1666. 1
  1667. 1
  1668. 1
  1669. 1
  1670. 1
  1671. 1
  1672. 1
  1673. 1
  1674. 1
  1675. 1
  1676. 1
  1677. 1
  1678. 1
  1679. 1
  1680. 1
  1681. 1
  1682. 1
  1683. 1
  1684. 1
  1685. 1
  1686. 1
  1687. 1
  1688. 1
  1689. 1
  1690. ‘In the USA and Germany, high-level officials have used the term pandemic of the unvaccinated, suggesting that people who have been vaccinated are not relevant in the epidemiology of COVID-19. Officials’ use of this phrase might have encouraged one scientist to claim that “the unvaccinated threaten the vaccinated for COVID-19”.1 But this view is far too simple. There is increasing evidence that vaccinated individuals continue to have a relevant role in transmission. In Massachusetts, USA, a total of 469 new COVID-19 cases were detected during various events in July, 2021, and 346 (74%) of these cases were in people who were fully or partly vaccinated, 274 (79%) of whom were symptomatic. Cycle threshold values were similarly low between people who were fully vaccinated (median 22·8) and people who were unvaccinated, not fully vaccinated, or whose vaccination status was unknown (median 21·5), indicating a high viral load even among people who were fully vaccinated.2 In the USA, a total of 10 262 COVID-19 cases were reported in vaccinated people by April 30, 2021, of whom 2725 (26·6%) were asymptomatic, 995 (9·7%) were hospitalised, and 160 (1·6%) died.3 In Germany, 55·4% of symptomatic COVID-19 cases in patients aged 60 years or older were in fully vaccinated individuals,4 and this proportion is increasing each week. In Münster, Germany, new cases of COVID-19 occurred in at least 85 (22%) of 380 people who were fully vaccinated or who had recovered from COVID-19 and who attended a nightclub.5 People who are vaccinated have a lower risk of severe disease but are still a relevant part of the pandemic. It is therefore wrong and dangerous to speak of a pandemic of the unvaccinated. Historically, both the USA and Germany have engendered negative experiences by stigmatising parts of the population for their skin colour or religion. I call on high-level officials and scientists to stop the inappropriate stigmatisation of unvaccinated people, who include our patients, colleagues, and other fellow citizens, and to put extra effort into bringing society together.’ - COVID-19: stigmatising the unvaccinated is not justified. Professor Günter Kampf, The Lancet, November 20, 2021
    1
  1691. 1
  1692. 1
  1693. 1
  1694. 1
  1695. 1
  1696. 1
  1697. 1
  1698. 1
  1699. 1
  1700. 1
  1701. 1
  1702. 1
  1703. 1
  1704. 1
  1705. 1
  1706. 1
  1707. 1
  1708. 1
  1709. 1
  1710. 1
  1711. 1
  1712. 1
  1713. 1
  1714. 1
  1715. 1
  1716. 1
  1717. 1
  1718. 1
  1719. 1
  1720. 1
  1721. 1
  1722. 1
  1723. 1
  1724. 1
  1725. 1
  1726. 1
  1727. 1
  1728. 1
  1729. 1
  1730. 1
  1731. 1
  1732. 1
  1733. 1
  1734. 1
  1735. 1
  1736. 1
  1737. 1
  1738. 1
  1739. 1
  1740. 1
  1741. 1
  1742. 1
  1743. 1
  1744. 1
  1745. 1
  1746. 1