Showing 1 - 10 of 18
Oped, Postbag, Published on 23/12/2023
» Re: "Farmers given new title deeds option", (BP, Dec 22).
Oped, Postbag, Published on 14/09/2023
» Re: "When scams turn deadly", (Editorial, Sept 9) & "Suspects extradited to China", (BP, Aug 25).
News, Postbag, Published on 20/05/2023
» Re: "Senators slow to warm to Pita's PM bid", (BP, May 17).
Oped, Postbag, Published on 04/03/2023
» Re: "Foreigners flee Thai stocks", (Business, March 2).
Oped, Postbag, Published on 17/12/2022
» Re: "Retain citizen army", (PostBag, Dec 13) and "Conscription's days numbered", (Editorial, Dec 10).
Oped, Postbag, Published on 24/09/2022
» Re: "Support for nuns long overdue", (Editorial, Sept 18).
News, Postbag, Published on 07/03/2022
» Re: "Call time on call scams", (Editorial, March 3) and "56 rescued from call scammers" (BP, March 3).
Oped, Postbag, Published on 11/06/2021
» Re: "Gatekeepers of history," (Life, June 7).
News, Postbag, Published on 02/08/2021
» Re: The "10" cartoon that featured Simone Biles (Opinion, July 31).
News, Postbag, Published on 21/03/2020
» The most effective and cheapest way of controlling the Covid-19 pandemic will be to conduct mass testing of the population, as urged by eminent French infectious diseases expert Dr Didier Raoult. He has pointed out that cheaply mass produced testing equipment is already available and is being used effectively in South Korea. Countries, including Thailand, should build up this mass testing capability as fast as it can and test as many people as possible. That way it will be possible to isolate only those who test positive and it also makes it possible to treat those who start showing symptoms early which boosts the chance of a favourable outcome for them. This will be far more effective than locking down entire populations of people who are not infected and causing a massive economic dislocation in the process. In Thailand's case, it may cost US$325 million (10.5 billion baht) to test the entire population, but that would be a drop in the bucket compared to the $8 billion cost of a 5% decline in GDP.