The Feed & The Thread - February 25, 2026 episode artwork

EPISODE · Feb 25, 2026 · 4 MIN

The Feed & The Thread - February 25, 2026

from The Feed & The Thread

This episode covers how complexity accumulates in systems through locally rational choices, introducing Bayesian thinking for updating beliefs in UX research based on data, and highlights recent publications from Codrops, CSS-Tricks, and UX Planet. It also delves into community discussions about honesty in portfolios and when design skills become automatic. Additionally, it announces the free online UX Camp Summer event on May 30th, with an open call for speakers. Show Notes In This Episode How small, locally rational choices can lead to system fragility through increasing complexity. Introduction to Bayesian thinking for updating UX research beliefs with data. Insights from the community on portfolio honesty and design autopilot. Articles Mentioned "How complexity accumulates" by Michael Parent (UX Design.cc) "An Intro to Bayesian Thinking for UX Research: Updating Beliefs with Data" by Jeff Sauro, PhD & Jim Lewis, PhD (MeasuringU) Community Discussions r/UXDesign - Is honesty killing my portfolio? r/UXDesign - When did your craft turn into autopilot? r/web_design - Are AI website builders ready to replace WordPress? Announcement Event: UX Camp Summer Date: Saturday, May 30th Type: Online event Tickets: Free (Optional general admission ticket for $13.50) More Info: ChicagoCamps.org About The Feed & The Thread The Feed & The Thread is a daily summary of UX articles found in the industry and some light-touch updates from the UX Community found in online forums. It’s brief, and meant as a light-touch overview of what’s happening across UX.

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The Feed & The Thread - February 25, 2026

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How long is this episode of The Feed & The Thread?

This episode is 4 minutes long.

When was this The Feed & The Thread episode published?

This episode was published on February 25, 2026.

What is this episode about?

This episode covers how complexity accumulates in systems through locally rational choices, introducing Bayesian thinking for updating beliefs in UX research based on data, and highlights recent publications from Codrops, CSS-Tricks, and UX Planet....

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