Definitely...not a lot of numbers! episode artwork

EPISODE · Aug 7, 2025 · 1H 7M

Definitely...not a lot of numbers!

from Standard Deviation Podcast · host Tim Ceuppens, Simo Ahava, Juliana Jackson

This Podcast is sponsored by Team Simmer.Go to TeamSimmer and use the coupon code DEVIATE for 10% on individual course purchases.The Technical Marketing Handbook provides a comprehensive journey through technical marketing principles.Sign up to the Simmer Newsletter for the latest news in Technical Marketing.Latest content from Juliana & Simo:Subscribe to Juliana's newsletter: https://julianajackson.substack.com/Latest on the SimoAhava.com blog > Common Mistakes When Working With Click Identifiers, guest post by Jude Nwachukwu Onyejekwe : https://www.simoahava.com/analytics/common-mistakes-click-identifiers/Latest from Juliana: https://julianajackson.substack.com/p/eu-ai-act-explainedConnect with Tim CeuppensLinkedin: https://www.linkedin.com/in/timceuppens/Also mentioned in the episode:Apple Paper about LLM reasoning > https://machinelearning.apple.com/research/illusion-of-thinkingOpenAI Status Page (for when the thought leadership runs out) > https://status.openai.comMeasureCamp Brussels – Nov 15 > https://www.measurecamp.org/brussels/ This podcast is brought to you by Juliana Jackson and Simo Ahava.  

Episode metadata supplied by the publisher feed · Published Aug 7, 2025

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We’re back from summer break with a suitcase full of rants: from Google’s AI Overviews and the absurd death-of-SEO/CRO discourse to the Shopify + ChatGPT overreactions and the ongoing collapse of attention spans. We call out the engagement-bait apocalypse on LinkedIn, the myth of LLM “reasoning,” and why boring truths never make headlines. Then we shift gears to Apple’s vague Safari privacy update and how a single line in a press release sent everyone into chaos. Plus, special guest Tim Ceuppens, joins us to unpack data storytelling, analyst-stakeholder dysfunction, and what Pixar can teach you about presenting insights that actually land. Welcome back to Standard Deviation Podcast.

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Definitely...not a lot of numbers!

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