In this next video, BSI's Emily Kaplan explains all-cause mortality, and how it should be included when considering any medical treatment.

In this next part, Emily breaks down the difference between induction and deduction.

The diversion from modern science towards post-modern science began about 100 years ago. Since then things have gone from bad to worse, with bad science [...]

William Briggs examines the wildly varied outcomes produced by statistical analysts when presented identical data sets.

Dr. Malcolm Kendrick dives into history of medical breakthroughs showing us how new ideas are often shunned in order to maintain the status quo.

The end of the COVID-19 pandemic is often associated with the creation and distribution of mRNA vaccines. But were the vaccines actually as effective as they're claimed to be?

Delving into the murky waters of online censorship, this piece uncovers the genesis of Section 230, the law that inadvertently became the root of a heated battle between free expression and digital regulation. Unraveling the complex interplay between government oversight and technological innovation, this piece explores the implications of a seemingly innocuous legislation that now governs the very nature of online discourse.

This essay by BSI’s Emily Kaplan uncovers the shocking reality of how digital giants like YouTube are gatekeeping critical information, effectively silencing independent experts and alternative viewpoints

In this second installment, BSI's Emily Kaplan breaks down the difference between corollary studies and causal studies. Corollary studies can show relationships between data sets, they do not establish cause.