THE VIDEO SHELF · evolutionary developmental biology
Evo-Devo (Despacito Biology Parody) | A Capella Science
A Capella Science parody of Despacito that sings through evolutionary developmental biology, explaining how a single cell becomes a body, including body-axis genes and dormant snake leg DNA. It runs about four minutes.
Why HN readers recommended it
HN recommends it as an entertaining four-minute introduction to evo-devo that works even for people who dislike the original song.
This is a summary from the source dataset, not an endorsement by Hacker News or the video creator.
Video & recommendation details
- Creator / channel
- acapellascience
- Topic
- evolutionary developmental biology
- Format
- music
- Level
- intro
- HN recommenders in dataset
- 6
- HN mentions in dataset
- 11
- Recommendation years in dataset
- 2017–2026
These counts and years describe the included Hacker News records; they are not YouTube views or the video’s publication date.
From the original HN conversations
Excerpts from the recorded comments. Follow each source for the full comment and surrounding discussion.
It is, but it is increasing the branching factor by much more than finding all the "good" melodies in 400 years. Here's a good example of music that stands on it own right despite using the melody of despacito: [VIDEO] - I'm pretty sure that …
mettamage on Hacker News · 2020-04
In Are Ideas Getting Harder to Find?I'll take a shot at trying to explain that to the best of my ability. I'm starting from the point where we have organisms and dna, since nobody knows how exactly abiogenesis happened yet. First, two general points. The most important thing to keep in …
vikramkr on Hacker News · 2020-04
In Ask HN: What scientific phenomenon do you wish someone would explain better?> Producing a whole new limb or whatever is way more complicated that we'd like it to be. It isn't that much more complicated, though. Because as it turns out, you don't always have to code for that limb from scratch. You just have to …
TeMPOraL on Hacker News · 2020-11
In I should have loved biology
Summaries, classifications and recommendation records are from the HackerTube source dataset. Read about this library and its limitations.