The hottest Data interpretation Substack posts right now

Teams may not always give 100% effort every game in the NFL due to strategic reasons.
Watching games can give a big advantage in fantasy football over just looking at stats.
First-read targets dataset may not accurately reflect offensive intentions in play calling and should be analyzed cautiously.

Data-reality gaps exist when there is disconnect between data representation and reality
A data generation model helps in identifying gaps like selection bias and interpretation gap
Understanding different gaps in data can lead to more accurate visualization and interpretation

The story explores the disconnect between data produced by the body and how machines interpret it, highlighting the complexities in translating and calibrating data.
It questions the dangers of misinterpreting brain activity as a linear flow of information, emphasizing the importance of understanding gaps when reconstructing signals.
The narrative offers a prescient warning about the misuse of automated statistical analysis systems to determine societal control based on physical characteristics, urging critical examination of the tools and notions used.

Machines understand models of reality through data, influenced by what is deemed significant, leading to gaps and potential misinterpretations.
Datasets are contextual and not universally applicable, emphasizing the importance of clear documentation and awareness of data limitations.
Creating a 'Tourist's Guide to Datasets' with annotations and personal insights can enhance understanding and avoid misuse when data is reused for different purposes.

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Strive to be better, not the best. The competition should be with your past and future self.
Data doesn't really talk, people interpret it. Question the competence and integrity of data interpreters.
To be a good mentee, value mentor's time, seek clear guidance, be open to ideas and reflect on your progress.