marginalianoun
notes written in the margins; peripheral commentary;


[marginalium]

Algorithmic Ranking Is Unfairly Maligned

27 Jan 2025

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Algorithmic Ranking Is Unfairly Maligned. Good bit on why Netflix is so bloody useless:

In the long-long ago, Netflix had star ratings … Nowadays, you get a disorienting set of categories like DARK COMEDIES ABOUT ITALIAN FEUDALISM and LIFE IS SHORT—WATCH IT AGAIN and THINGS YOU’RE IN THE MIDDLE OF, HELPFULLY PLACED IN A INCONSISTENT LOCATION. Instead of star ratings, there are “match percentages”, but you have to interact to see them and they always seem to be 98%.

Then:

Netflix realized a bunch of things:

  • That they needed to concentrate everything on increasing subscriber revenue. And that the main goal of recommendations should be subscriber retention, or making sure people don’t cancel.
  • That the things people rate highly aren’t always the same as what they actually watch. It’s cool that you gave The Seventh Seal five stars. But after a long day at work and finally getting the kids to bed, are you really going to choose Andrei Rublev over The Great British Bachelorette and the Furious 7?
  • That to retain people, you need to get them started watching new stuff. Lots of people want to watch Friends, so Netflix will pay $100 million/year for Friends. But if you just join, binge every episode of Friends, and then cancel, that’s bad. However, if the Friends button were to—say—randomly shift around in the interface, maybe while hunting for it you’ll get hooked on some other (hopefully cheaper) shows and stick around longer.
  • That beyond your explicit ratings, there are lots of implicit signals like what you watch, what you click on, what devices you use, and how long you stop scrolling when shown different kinds of thumbnails. These implicit signals are more useful than explicit rankings when predicting what to show you to keep you subscribed.
  • That many people don’t want to rate stuff. And (I speculate) that this provides a convenient excuse to drop the whole star rating system and replace it with the “whatever the hell order we want” system that prevails today, where the match % means nothing and promises nothing.

Anyway. Makes some interesting points toward the end, about how if capitalist ranking is broken, addictive against your interests, not for them, then either we do no algorithms and rely on other curation tools like RSS etc, or we bake user control in to the algorithms. Not really that groundbreaking, but it a good prompt to think about what you’ll do about algorithms since they’re probably just going to be more prevalent as we try to inject AI into everything.


Anthologies: Gratification, Digital Architecture, On (Un)happiness, On Being Fruitful, Noetik

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More about Dorian Minors' project btrmt.

btrmt. (text-only version)

The full site with interactive features is available at btr.mt.

btrmt. (betterment) examines ideologies worth choosing. Created by Dorian Minors—Cambridge PhD in cognitive neuroscience, Associate Professor at Royal Military Academy Sandhurst. Core philosophy: humans are animals first, with automatic patterns shaped for us, not by us. Better to examine and choose.

Core concepts. Animals First: automatic patterns of thought and action, but our greatest capacity is nurture. Half Awake: deadened by systems that narrow rather than expand potential. Karstica: unexamined ideologies (hidden sinkholes beneath). Credenda: belief systems we should choose deliberately.

The manifesto. Cynosure (focus): betterment, gratification, connection. Architecture (support): inner (somatic, spiritual, thought) and outer (digital, collective, wealth).

Mission. Not answers but examination. Break academic gatekeeping. Make sciences of mind accessible. Question rather than prescribe.

Writing style. Scholarly without jargon barriers. Philosophical yet practical—grounded in neuroscience and lived experience. Reflective, discovery-oriented. Literary references and metaphor. Critical of systems that narrow human potential. Rejects "humans are flawed"—we're half awake, not broken.

Copyright. BTRMT LIMITED (England/Wales no. 13755561) 2026. Dorian Minors 2026.

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About Dorian Minors. Started btrmt. in 2013 to share sciences of mind with people who weren't studying them. Background: six years Australian Defence Force (Platoon Commander, Infantry); Gates Cambridge Scholar; PhD cognitive neuroscience, University of Cambridge (2018-2024); currently Associate Professor, Royal Military Academy Sandhurst. Research interests: neural basis of intelligent behaviour, decision intelligence, ritual formation/breakdown, ethical leadership, wellbeing.

External projects (links also available via Analects):