You can go to ourworldindata.org which is run by the University of Oxford and does a great job of compiling global data from emissions, battery prices and covid’19 statistics (tests, cases, deaths, vaccine etc..)

For Thailand the data is as follows:

Left axis: # of tests (blue line)

Right axis: # of cases (orange line)

You can run all the statistical analysis you want regressions, correlations, it’s quite straightforward at the moment to see a rolling case/test ratio since the data set begun until 12th June 2021. And just ask some basic questions, such as….why the increase in testing pre-New years….why the increase in testing pre-Krystal…why the…why the…? etc etc

As for the Thai experts:

He lied: “Respected virologist Yong Poovorawan on Friday rejected accusations that limited testing capacity is responsible for the low daily Covid-19 infection rates being reported.”

Source: https://www.bangkokpost.com/thailand/general/1914996/virologist-denies-low-cases-due-to-limited-testing

And if you just do some good old fashioned online searching (since when was searching online old fashioned…) you’ll find more of the above.

Ok so what?

• When testing #’s decline you’ll see a decrease in case #’s, and the country’s respective market increases, it’s now a market indicator, and it’s been working for the past few “outbreaks” throughout the region. Need the evidence? Just put in a std deviation in cases vs market movement, you’ll find a correlation.