![rw-book-cover](https://substackcdn.com/image/fetch/w_1200,h_600,c_fill,f_jpg,q_auto:good,fl_progressive:steep,g_auto/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F81b51e38-b0b2-410c-90ac-4b2e76fae2df_1021x583.jpeg) ## Metadata - Author: [[duncan-gilchrist|Duncan Gilchrist]] - Full Title:: The Danger Zone in Data Science - Category:: #🗞️Articles - URL:: https://delphinaai.substack.com/p/the-danger-zone-in-data-science?utm_source=substack&utm_medium=email - Finished date:: [[2024-06-01]] ## Highlights > Mediocre product management, mediocre engineering, or mediocre finance aren’t good, but they are often tolerable. ([View Highlight](https://read.readwise.io/read/01hz96g2gdbw39m6hj2ernj7tz)) > But the returns to quality in ML are highly nonlinear. **Great ML is game changing, while mediocre ML is a whole other beast — and it’s downright dangerous.** Here’s how we think about it: ([View Highlight](https://read.readwise.io/read/01hz96g5s6y6dsrqhra4dk997n)) > ![](https://substackcdn.com/image/fetch/w_1456,c_limit,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F8c4812c1-1f18-4f8d-8f3c-b24d6de6ec6b_696x627.png) ([View Highlight](https://read.readwise.io/read/01hz96g717j44s8sn0w2d3xq4t)) > ![](https://substackcdn.com/image/fetch/w_1456,c_limit,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F8c4812c1-1f18-4f8d-8f3c-b24d6de6ec6b_696x627.png) ([View Highlight](https://read.readwise.io/read/01hz96g735q154z67a95jng4zs))