London City Airport is my favourite one in London in part because the descent has views like this
Saloni
@scientificdiscovery.dev
47K followers 1.2K following 5.4K posts
Co-founder & editor, Works in Progress. Writer, Scientific Discovery. Podcaster, Hard Drugs. Advisor, Coefficient Giving. Newsletter: scientificdiscovery.dev Podcast: harddrugs.worksinprogress.co 🏳️🌈
![Shitala (Sanskrit: शीतला, IAST: śītalā, lit. 'coolness'; also spelled as Sheetala, Śītalā and Seetla) is a Hindu goddess venerated primarily in North India.[2] She is regarded as an incarnation of the goddess Parvati and is believed to cure poxes, sores, ghouls, pustules, and diseases, and most directly linked with the disease smallpox. Shitala is worshipped on Tuesday,[3] Saptami and Ashtami (the seventh and eighth day of a Hindu month), especially after Holi during the month of Chaitra. The celebration of the goddess Shitala on the seventh and eighth day of the Hindu month is referred to as the Shitala Saptami and Shitala Ashtami, respectively.[4]](https://cdn.bsky.app/img/feed_thumbnail/plain/did:plc:73aicoale2mqwrap63rdzwep/bafkreiastee32qwnp7aklvqpbjjhnxgtwr6amuulw22p5mqcvj4yfjizwm)
![But one of the interesting things about that was that the evidence for this before the trials were done were observational studies. Some of these observational studies were affected by various biases. One of these biases is called immortal time bias. Have you heard of that?
Jacob Trefethen: I'm pretty biased myself as a immortal demigod. Yes. But what about you?
Saloni Dattani: I had, well, I had heard about this for a long time and I was like, what does that, why is it called that? I feel like hardly anyone had given me an explanation of this that made sense. It was like really complicated and people would explain it with these diagrams that were very difficult to read.
But the basic idea is that you have, you're looking at like, let's say hospital data or something, and you're comparing people who have taken a drug to people who haven't. You look at, while they're on the drug, what are their chances of developing the disease versus people who are not on the drug?
What a lot of these studies would often do is that they count the time that people are not on the drug, or before they start the drug, in the control group [Correction: in the treated group], and they take the time that they spend on the drug in the treated group [as well]. But that creates a problem.](https://cdn.bsky.app/img/feed_thumbnail/plain/did:plc:73aicoale2mqwrap63rdzwep/bafkreidkkn4ddx7n6mbfo2s5uwbx46he6etevi5d35ii6ylxk73zyvhkca)
