ClaimsBalaji Srinivasan

“I think we're going to see the Great Firewall of China, where they'll be sequencing and testing the heck out of everybody, scanning the country constantly to see, OK, is a virus rising and then quarantine that area, vaccinate that area and just just stop it from spreading.”

Balaji Srinivasan, podcast guest 13 March 2020 #78 Balaji Srinivasan: Exploring COVID-19 — The Knowledge Project (HappyScribe)

Prediction Biosecurity

Srinivasan said he thought China would build a nationwide system that constantly sequences and tests its population, then quarantines and vaccinates areas where a virus is rising.

Mixed Partly true and partly false in roughly equal measure.

Prediction: Statements about events outside the person's control, checked once they fell due: did they come true?

The second judge would not resolve this claim; the verdict shown is the first judge's.

What would count as true or false

Horizon: end-2022. The claim has four parts: (1) a nationwide system of constant, population-wide testing and surveillance; (2) genomic sequencing to track viruses; (3) quarantining the areas where cases rise; (4) vaccinating those areas. TRUE: credible reporting or official Chinese records show that by end-2022 China ran a nationwide system with all four parts, i.e. routine mass and regular PCR testing with health codes, sequencing of outbreaks, localised lockdowns of affected areas, and targeted vaccination of affected areas. MOSTLY TRUE: the first three parts were nationwide, but vaccination was a general nationwide campaign rather than targeted at outbreak areas, or the system was later dismantled (e.g. in December 2022). MIXED: about half of the parts were in place, or the testing was large-scale but episodic rather than constant and nationwide. MOSTLY FALSE: only isolated or local versions existed. FALSE: China built no such system.

Set before the research began.

Evidence (9)

  1. E1 Optimization of Population-Level Testing, Contact Tracing, and Isolation in Emerging COVID-19 Outbreaks: a Mathematical Modeling Study — Tonghua City and Beijing Municipality, China, 2021–2022 PubMed Central (NCBI); authors include CDC staff and local health workers in China per acknowledgements · 27 January 2023

    “To rapidly detect SARS-CoV-2 infections, the cities launched population-level PCR tests. To contain the transmission, Tonghua performed 3 rounds of testing — whereas Beijing conducted 26 rounds.”
  2. E2 Optimization of Population-Level Testing, Contact Tracing, and Isolation in Emerging COVID-19 Outbreaks: a Mathematical Modeling Study — Tonghua City and Beijing Municipality, China, 2021–2022 PubMed Central (NCBI); authors include CDC staff and local health workers in China per acknowledgements · 27 January 2023

    “Resurgences of SARS-CoV-2 occurred in Tonghua (B.1.1 variant) in Jan-Feb of 2021, and Beijing (Omicron variant) in April-Jun of 2022.”
  3. E3 Optimization of Population-Level Testing, Contact Tracing, and Isolation in Emerging COVID-19 Outbreaks: a Mathematical Modeling Study — Tonghua City and Beijing Municipality, China, 2021–2022 PubMed Central (NCBI), academic modelling study · 27 January 2023

    “To contain the transmission, Tonghua performed 3 rounds of testing — whereas Beijing conducted 26 rounds.”
  4. E4 Optimization of Population-Level Testing, Contact Tracing, and Isolation in Emerging COVID-19 Outbreaks: a Mathematical Modeling Study — Tonghua City and Beijing Municipality, China, 2021–2022 PubMed Central (NCBI), academic modelling study · 27 January 2023

    “Once an index case was identified, CT was launched. To rapidly detect SARS-CoV-2 infections, the cities launched population-level PCR tests.”
  5. E5 Optimization of Population-Level Testing, Contact Tracing, and Isolation in Emerging COVID-19 Outbreaks: a Mathematical Modeling Study — Tonghua City and Beijing Municipality, China, 2021–2022 PubMed Central (NCBI), academic modelling study · 27 January 2023

    “Resurgences of SARS-CoV-2 occurred in Tonghua (B.1.1 variant) in Jan-Feb of 2021, and Beijing (Omicron variant) in April-Jun of 2022.”
  6. E6 Explainer | The colour-coded Covid app that’s become part of life in China South China Morning Post · 5 April 2022

    “As the pandemic enters its third year, China is trying to put more emphasis on targeted responses to cases in its pursuit of zero-Covid, as it seeks to limit the economic and social costs of mass testing and sweeping lockdowns.”
  7. E7 Explainer | The colour-coded Covid app that’s become part of life in China South China Morning Post · 5 April 2022

    “They require real-name registration and generate a colour code – green, yellow or red – that indicates the person’s Covid-19 risk level.”
  8. E8 Surveillance and Analysis of SARS-CoV-2 Variant Importation — China, January–June 2022 China CDC Weekly (via PubMed Central) · 16 December 2022

    “Three of them (BA.4, BA.5, and BA.2.12.1) had caused local transmissions in the mainland of China, and the time of causing local transmission was at least 26 days later than that recorded in the surveillance.”
  9. E9 Surveillance and Analysis of SARS-CoV-2 Variant Importation — China, January–June 2022 China CDC Weekly (via PubMed Central) · 16 December 2022

    “A total of 4,946 SARS-CoV-2 genomic sequences collected before June 30, 2022, from imported COVID-19 cases were submitted to the China CDC during the period of January to July, 2022.”

Reasoning

I rated this mixed because the evidence supports some parts of the claim but not others. Health codes were in use, there were mass testing and sweeping lockdowns as part of zero-Covid (E6, E7), and China CDC sequenced genomes from imported cases and tracked variants that spread locally (E8, E9). However, the city-level studies describe population-wide PCR testing as rounds launched in response to particular resurgences in Tonghua and Beijing (E1, E2, E4, E5). The evidence describes large-scale testing in rounds tied to outbreaks in two cities [E1], and does not show constant nationwide scanning. No evidence shows vaccination targeted at outbreak areas.

Cite this claim

Balaji Srinivasan, “Srinivasan said he thought China would build a nationwide system that constantly sequences and tests its population, then quarantines and vaccinates areas where a virus is rising.” (said 13 March 2020). Verdict: mixed. Reliability API, claim c_b0c99c691a5f, method 0.1.0+c876030c, dataset release v1.1.2. https://epistacklabs.com/claims/c_b0c99c691a5f

This claim is in dataset release v1.1.2, with the same verdict.

Reply to this claim

For Balaji Srinivasan, or someone speaking for them: a correction or counter-evidence. Replies are read before anything is shown; an approved reply shows your name, role, date, statement and link. Your email address is never shown and is deleted 30 days after the decision (privacy).

More prediction claims by Balaji Srinivasan

  1. Mostly true Prediction 29 March 2020
    “Just like the first bailout greased the skids, this won’t be the last lockdown.”

    The COVID-19 lockdown will not be the last lockdown.

  2. Mixed Prediction 13 March 2020
    “And it may turn out that we need to make testing extremely routine, which would basically mainstream genomics.”

    Testing may need to become extremely routine, effectively mainstreaming genomics.

  3. Mostly true Prediction 13 March 2020
    “But it may turn out that we tested very, very large number of people because there may be more spreaders than we think.”

    A very large number of people may need to be tested for COVID-19 because there may be more spreaders than assumed.

  4. Mostly true Prediction 13 March 2020
    “Now that's going to go to real time, meaning within a day or an hour before you get on the flight.”

    Health screening of travellers will move to real time, within a day or an hour before boarding a flight.

  5. Resolved true Prediction 13 March 2020
    “Within a few weeks, the folks who have severe conditions may have long term impact that we're not aware of because it's so new that we don't know what that long term impact is.”

    People who suffer severe COVID-19 may have long-term health impacts that are not yet known.

All of them

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