QAnon is a conspiracy theory born in the underbelly of the internet. While easy to disprove, these cryptic ideas captured the minds of many people and (in part) paved the way to the 2021 storming of the US Capital.
This is a contemporary conspiracy which came into existence and grew in a very digital way. This makes it possible for researchers to study this phenomenon in a way not accessible in previous conspiracy theories of similar popularity.
This episode is not so much a debunking of this debunked theory, but rather an exploration of the metadata and origins of this conspiracy.
This episode is also the first in our 2021 Pilot Season in which we are going to test out a few formats for Data Skeptic to see what our next season should be. This is the first installment. In a few weeks, we're going to ask everyone to vote for their favorite theme for our next season.
Predicting Stock Prices
N-Beats
Translation Automation
Time Series at the Beach
Automatic Identification of Outlier Galaxy Images
Do We Need Deep Learning in Time Series
Detecting Drift
Darts Library for Time Series
Forecasting Principles and Practice
Prequisites for Time Series
Orders of Magnitude
They're Coming for Our Jobs
Pandemic Machine Learning Pitfalls
Flesch Kincaid Readability Tests
Fairness Aware Outlier Detection
Life May be Rare
Social Networks
Benchmarking Vision on Edge vs Cloud
Goodhart's Law in Reinforcement Learning
Create your
podcast in
minutes
It is Free
Insight Story: Tech Trends Unpacked
Zero-Shot
Fast Forward by Tomorrow Unlocked: Tech past, tech future
The Unbelivable Truth - Series 1 - 26 including specials and pilot
Lex Fridman Podcast