Uploaded September 2011 | Updated September 2026, 2 weeks ago
About a year after this video was posted, BBC blocked it for copyright violation: iangoddard.com/journal/fukushima/Screen%20shot%202012-08-24%20at%207.27.57%20PM.png I appealed on Fair Use and won.
Sources cited
The BBC Program
bbc.co.uk/programmes/b014s49z
youtube.com/watch?v=8vywZ84mixs
@ 1:04 CNN Report Quoted
articles.cnn.com/2011-06-06/world/japan.nuclear.meltdown_1_nuclear-reactors-fuel-rods-tokyo-electric-power?_s=PM:WORLD
@ 1:29 Meltdown timing table form Yomiuri Daily
web.archive.org/web/20130323014750/http://www.yomiuri.co.jp/dy/national/T110607005367.htm
@ 2:32 Atomic-Bombing Survivors Study
dmphp.org/cgi/reprint/5/Supplement_1/S122
In light of that study, it's worth noting that the Japanese government calculated that the Cesium-137 alone emitted from Fukushima as of late August was 168 times more radioactive than the atomic bomb dropped on Hiroshima: telegraph.co.uk/news/worldnews/asia/japan/8722400/Fukushima-caesium-leaks-equal-168-Hiroshimas.html
@ 2:55 IAEA Report Quoted
www-pub.iaea.org/MTCD/meetings/PDFplus/2011/cn200/documentation/cn200_Final-Fukushima-Mission_Report.pdf
@ 7:10 NYAS Review by Yablokov, Nesterenko & Nesterenko (2009)
nyas.org/Publications/Annals/Detail.aspx?cid=f3f3bd16-51ba-4d7b-a086-753f44b3bfc1
strahlentelex.de/Yablokov%20Chernobyl%20book.pdf
NOTE: I'm now skeptical of the 985,000 death-toll figure in the NYAS review. The figure has been criticized for lacking a clear or standard methodology. It's okay to propose new non-standard analytical methodologies, but as the basis for a study which thereby comes to an extraordinary conclusion, no, that's suspect of being wrong on its face. In short, the extraordinary predictions of Yablokov et al are even more likely to be evidence that their unique untested methodologies are faulty. That said, their 327-page report is an important review of Russian research most of which is off limits to the west due to language barriers.
In contrast, the European Environmental Agency, using standard dosimetry (ICRP and BEIR) -- predicts between 17,000 to 68,000 Chernobyl-induced deaths over 50 years. A figure that also counters Al-Khalili's implication that estimated death tolls above a mere handful are wild rumors.
The European Environmental Agency's prediction of 17,000 to 68,000 deaths over 50 years is based on better-established radiobiology. See: Late lessons II Chapter 18 - Late lessons from Chernobyl early warnings from Fukushima @ http://www.eea.europa.eu/publications/late-lessons-2, which lays out the EEA's straightforward methodology:
"Given that UNSCEAR (1993) and IAEA (1996)
estimate a total world-wide collective dose
of 600,000 person‑Sieverts over 50 years from
Chernobyl fallout, and the standard risk
estimate from the International Commission on
Radiological Protection (ICRP, 2005) is 0.057 fatal
cancers per Sievert, this suggests an estimate of
about 34,000 fatal cancers over that time period
(Ramana, 2009). Given the widely accepted linear
no-threshold radiation risk model may overstate
or understate risks by a factor of two (BIER VII,
2006) — then estimates for post-Chernobyl cancer
mortality extrapolation may range from 17,000 to
68,000 over 50 years."
#
Extra: detailed complaint submitted to BBC over the program critiqued in this video :
nfznsc.gn.apc.org/docs/news/NFLA_BBC_Fukushima_final_complaint.pdf
#
@ 1:53 I cite a false analogy Al Khalili commits, which takes this form:
1. Fukushima and the tsunami are similar in that both were disasters.
2. The tsunami's harm is measured by its death toll before 9/14/11.
3. Therefore, Fukushima's harm is measured by its death toll before 9/14/11.
That argument from analogy is assumed implicitly in his comparison aired on Sept 14, 2011. We cannot conclude, as he wishes us to, that the tsunami was far worse unless we accept that analogy as true. However, it's a false analogy on account of the fact that the harm of radiation exposure is also measured by the deaths it causes years and decades later.
.
About a year after this video was posted, BBC blocked it for copyright violation: iangoddard.com/journal/fukushima/Screen%20shot%202012-08-24%20at%207.27.57%20PM.png I appealed on Fair Use and won.
Sources cited
The BBC Program
bbc.co.uk/programmes/b014s49z
youtube.com/watch?v=8vywZ84mixs
@ 1:04 CNN Report Quoted
articles.cnn.com/2011-06-06/world/japan.nuclear.meltdown_1_nuclear-reactors-fuel-rods-tokyo-electric-power?_s=PM:WORLD
@ 1:29 Meltdown timing table form Yomiuri Daily
web.archive.org/web/20130323014750/http://www.yomiuri.co.jp/dy/national/T110607005367.htm
@ 2:32 Atomic-Bombing Survivors Study
dmphp.org/cgi/reprint/5/Supplement_1/S122
In light of that study, it's worth noting that the Japanese government calculated that the Cesium-137 alone emitted from Fukushima as of late August was 168 times more radioactive than the atomic bomb dropped on Hiroshima: telegraph.co.uk/news/worldnews/asia/japan/8722400/Fukushima-caesium-leaks-equal-168-Hiroshimas.html
@ 2:55 IAEA Report Quoted
www-pub.iaea.org/MTCD/meetings/PDFplus/2011/cn200/documentation/cn200_Final-Fukushima-Mission_Report.pdf
@ 7:10 NYAS Review by Yablokov, Nesterenko & Nesterenko (2009)
nyas.org/Publications/Annals/Detail.aspx?cid=f3f3bd16-51ba-4d7b-a086-753f44b3bfc1
strahlentelex.de/Yablokov%20Chernobyl%20book.pdf
NOTE: I'm now skeptical of the 985,000 death-toll figure in the NYAS review. The figure has been criticized for lacking a clear or standard methodology. It's okay to propose new non-standard analytical methodologies, but as the basis for a study which thereby comes to an extraordinary conclusion, no, that's suspect of being wrong on its face. In short, the extraordinary predictions of Yablokov et al are even more likely to be evidence that their unique untested methodologies are faulty. That said, their 327-page report is an important review of Russian research most of which is off limits to the west due to language barriers.
In contrast, the European Environmental Agency, using standard dosimetry (ICRP and BEIR) -- predicts between 17,000 to 68,000 Chernobyl-induced deaths over 50 years. A figure that also counters Al-Khalili's implication that estimated death tolls above a mere handful are wild rumors.
The European Environmental Agency's prediction of 17,000 to 68,000 deaths over 50 years is based on better-established radiobiology. See: Late lessons II Chapter 18 - Late lessons from Chernobyl early warnings from Fukushima @ http://www.eea.europa.eu/publications/late-lessons-2, which lays out the EEA's straightforward methodology:
"Given that UNSCEAR (1993) and IAEA (1996)
estimate a total world-wide collective dose
of 600,000 person‑Sieverts over 50 years from
Chernobyl fallout, and the standard risk
estimate from the International Commission on
Radiological Protection (ICRP, 2005) is 0.057 fatal
cancers per Sievert, this suggests an estimate of
about 34,000 fatal cancers over that time period
(Ramana, 2009). Given the widely accepted linear
no-threshold radiation risk model may overstate
or understate risks by a factor of two (BIER VII,
2006) — then estimates for post-Chernobyl cancer
mortality extrapolation may range from 17,000 to
68,000 over 50 years."
#
Extra: detailed complaint submitted to BBC over the program critiqued in this video :
nfznsc.gn.apc.org/docs/news/NFLA_BBC_Fukushima_final_complaint.pdf
#
@ 1:53 I cite a false analogy Al Khalili commits, which takes this form:
1. Fukushima and the tsunami are similar in that both were disasters.
2. The tsunami's harm is measured by its death toll before 9/14/11.
3. Therefore, Fukushima's harm is measured by its death toll before 9/14/11.
That argument from analogy is assumed implicitly in his comparison aired on Sept 14, 2011. We cannot conclude, as he wishes us to, that the tsunami was far worse unless we accept that analogy as true. However, it's a false analogy on account of the fact that the harm of radiation exposure is also measured by the deaths it causes years and decades later.
.





![Lockdowns Work According to Science
Peer-review studies of Covid-19 lockdowns cited...
Taghrir et al (2020), Efficacy of Mass Quarantine as Leverage of Health System Governance During COVID-19 Outbreak: A Mini Policy Review: “We found good quality evidence for the effectiveness of mass quarantine during the current stage of COVID-19 pandemic, and these strategies seem to have been highly effective in controlling the spread of the disease.” https://pubmed.ncbi.nlm.nih.gov/32271600/
Tobías (2020), Evaluation of the Lockdowns for the SARS-CoV-2 Epidemic in Italy and Spain After One Month Follow Up: “Lockdown, including restricted social contact and keeping open only those businesses essential to the country’s supply chains, has had a beneficial effect in both countries. The trend slopes were considerably reduced for all the outcomes.” https://pubmed.ncbi.nlm.nih.gov/32304973/
Lau et al (2020), The Positive Impact of Lockdown in Wuhan on Containing the COVID-19 Outbreak in China: “A significantly decreased growth rate and increased doubling time of cases was observed, which is most likely due to Chinese lockdown measures. A more stringent confinement of people in high risk areas seem to have a potential to slow down the spread of COVID-19.” https://pubmed.ncbi.nlm.nih.gov/32181488/
Signorelli et al (2020), COVID-19 in Italy: Impact of Containment Measures and Prevalence Estimates of Infection in the General Population: “Data shows that, among these measures, the lockdown implemented as of 9 March had a positive impact, in particular the central and southern regions of Italy, while other actions appeared to be less effective.” https://pubmed.ncbi.nlm.nih.gov/32275287/
Ji et al (2020), Lockdown Contained the Spread of 2019 Novel Coronavirus Disease in Huangshi City, China: Early Epidemiological Findings: “Lockdown and nonpharmaceutical interventions effectively contained the progression of COVID-19 in Huangshi city, China. Feb 1 (day 9 of lockdown) was identified as the ‘turning point’ as the epidemic faded soon.” https://pubmed.ncbi.nlm.nih.gov/32255183/
Modeling studies of lockdowns for Covid-19
Chatterjee et al (2020), Healthcare Impact of COVID-19 Epidemic in India: A Stochastic Mathematical Model: “The impact of Non-Pharmacological Interventions (NPI) including social distancing and lockdown on checking the epidemic was estimated […] immediate institution of NPIs, total cases, hospitalizations, ICU requirements and deaths can be reduced by almost 90%.” https://pubmed.ncbi.nlm.nih.gov/32292232/
Zhang et al (2020), Predicting Turning Point, Duration and Attack Rate of COVID-19 Outbreaks in Major Western Countries: “if there were no major enforcement actions on control strategies such as lockdowns, social distancing, stay-home-advises/orders, then the COVID-19 would have spread exponentially. For example, the total confirmed cases in the USA would have passed 1,000,000 on April 05, 2020.” https://pubmed.ncbi.nlm.nih.gov/32313405/
Bonus Studies! Pre-press (ie, not yet peer-reviewed) studies on lockdown efficacy I did not cite in the video:
Roques et al (2020), Effect of a one-month lockdown on the epidemic dynamics of COVID-19 in France: “We estimate the effect of the lockdown in France on the contact rate and the effective reproduction number Re of the COVID-19. We obtain a reduction by a factor 7 (Re=0.47, 95%-CI: 0.45-0.50), compared to the estimates carried out in France at the early stage of the epidemic.” https://www.medrxiv.org/content/10.1101/2020.04.21.20074054v1
Hyafil & Morina (2020), Analysis of the impact of lockdown on the evolution Covid-19 epidemics in Spain: “being able to implement interventions at the earliest stage is crucial to minimise the impact of a potential infectious threat.” https://www.medrxiv.org/content/10.1101/2020.04.18.20070862v1
Alfano & Ercolano (2020), Shut it down: a cross country panel analysis on the efficacy of lockdown measures: “The large differences found in the speed of propagation of the disease show us that being able to implement interventions at the earliest stage is crucial to minimise the impact of a potential infectious threat.” https://www.medrxiv.org/content/10.1101/2020.04.12.20062695v1
Spanish flu of 1918 studies
@ 1:34 Markel et al (2007) Nonpharmaceutical Interventions
Implemented by US Cities
During the 1918-1919 Influenza Pandemic: https://pubmed.ncbi.nlm.nih.gov/17684187/
Yu et al, (2017): https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5507503/pdf/pone.0180545.pdf
Hatchett et al (2020): https://www.pnas.org/content/pnas/104/18/7582.full.pdf
@ 4:04 My forecast that came to pass based on listening to field-specific scientists @ https://youtu.be/7SXIzVinKB0?t=616 Lockdowns Work According to Science](https://i.ytimg.com/vi/YniDz6638xA/mqdefault.jpg)




