Whistleblowers re threat of becoming entangled in a war with China over Taiwan
Pentagon Papers whistleblower Daniel Ellsberg leaked a 1966 study on US military officials that pushed for a first-use nuclear strike on China over Taiwan, and in May, he convinced the New York Times to cover sections, which the government still refuses to declassify.
The pages that the government censored in the official release of the study describe the attitude of General Laurence S. Kuter, the top Air Force commander for the Pacific. He wanted authorization for a first-use nuclear attack on mainland China at the start of any armed conflict. To that end, he praised a plan that would start by dropping atomic bombs on Chinese airfields but not other targets, arguing that its relative restraint would make it harder for skeptics of nuclear warfare in the American government to block the plan.
“There would be merit in a proposal from the military to limit the war geographically” to the air bases, “if that proposal would forestall some misguided humanitarian’s intention to limit a war to obsolete iron bombs and hot lead,” General Kuter said at one meeting.
Gayl understands the threat of nuclear war as well. Fearful of lobbying in favor of extending the “U.S. nuclear umbrella” to protect Taiwan, he recalled, “Senior US military leaders at different times in the 20th century glibly suggested the employment of nuclear weapons to regain initiative in conventional conflicts with non-nuclear Asian nations.”
“In addition to the island of Taiwan, these included conflicts in and with Vietnam, Korea, and China. Similarly, the employment of firebombing and nuclear weapons against a densely populated Japan was rationalized without significant opposition.”
History does not have to repeat another cycle of carnage and devastation, but it will if we ignore Gayl simply because we do not like the platform he used to spread his critical message.
https://shadowproof.com/2021/06/24/pentagon-whistleblower-franz-gayl-china-taiwan-us-war/?eType=EmailBlastContent&eId=c303c152-52ea-4ddd-975e-45b3fdc326d9
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