Johann Van Tonder
@jvt
20 years in ecommerce, now CEO of a CRO agency. Probably doing analysis in R or building stuff with AI. Or walking on the beach. Yeah, probably that.
Johann Van Tonder
“Your data is only relevant in so far as it matches your (research) question”
- Dr Laura Bronner
Your chances of fixing the company are significantly greater if you take care of yourself first and make sure you’re in the right headspace before making sudden decisions.
Amy Buechler, Founder Coach at YC
In a situation like this, there are two general pieces of advice one can give: keep your options open, and pay close attention to what's happening. Then if you can't predict the changes AI will cause, you'll at least be able to react quickly to them.
Paul Grahamx.com“The skill of actually figuring out what you need is probably as important as what you do after you figure it out.”
Pradeep GanapathyRaj via Matt LeMay
We always overestimate the change that will occur in the next two years and underestimate the change that will occur in the next ten.
Bill Gates, The Road Ahead
Bill Gates, The Road Ahead
It’s okay to be discouraged. It’s not okay to quit. To know you want to quit but to plant your feet and keep inching closer until you take the impenetrable fortress you’ve decided to lay siege to in your own life—that’s persistence.
Ryan Holiday • The Obstacle Is the Way: The Timeless Art of Turning Trials into Triumph
Inspo and Motivation
Clear thinking becomes clear writing; one can’t exist without the other.
It’s impossible for a muddy thinker to write good English. He may get away with it for a paragraph or two, but soon the reader will be lost, and there’s no sin so grave…
On Writing Well, William Zinsser
Kruschke began his (2015, p. 1) text with “This book explains how to actually do Bayesian data analysis, by real people (like you), for realistic data (like yours).
1 What’s in This Book (Read This First!) | Doing Bayesian Data Analysis in brms and the tidyverse
Patterns when telling stories with data: - What is the dataset? Who generated the dataset and why? - What is the process that underpins the dataset? Given that process, what is missing from the dataset or has been poorly measured? Could other datasets have been generated, and if so, how different could they have been to the one that we have? - What
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