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Causion is a free web app for building causal diagrams (DAGs) and then watching them behave—by simulating data and switching from observation to intervention with do(). Try it now: https://causion.pedermisager.org/ (it runs in your browser)
In this post, we will use a practical example to explore the power of statistical control, explaining why adjusting for the right variables clarifies relationships and why adjusting for the wrong ones can introduce new, serious biases.
In this blog post, I will briefly explain why experimental designs are considered so valuable by scientists and why we often insist that randomized experiments are necessary for answering causal questions. I will use a practical example to illustrate this point. If you’re new to the concept of causal inference, it may be helpful to read my earlier blog posts on correlation vs. causation and eight basic rules for causal inference.
In this blog post I will describe eight basic rules that govern the relationship between causal mechanisms in the real world and associations/correlations we can observe in data. To make each rule as easy as possible to understand, I will describe each rule both in words and in causal graph and logic terms, and I will offer some very simple simulation R code for each rule to demonstrate how it works in practice.
In this blog post I propose a four one-sided test of significance (FOST) that can be used to test whether an effect is smaller than OR larger than OR equivalent to the smallest effect size of interest. I lay out the general setup and interpretation of FOST, and ask readers to help me evaluate its validity.
More in science
Researchers created a dataset of photos of thousands of paper-thin slices of a male and female cadaver to create one of the most detailed datasets about the human body.
In a remote corner of the driest state in the country, Anne Heggli's team has been keeping watch over some of Earth’s oldest beings. Since 02012, Heggli’s NevCAN network has recorded conditions at the Nevada Bristlecone Preserve every eight minutes. The result is more than 120 million data points and a high-resolution portrait of how a bristlecone pine thrives. Paleoclimatologist Adam Csank showed how bristlecone microcores reveal the droughts and floods these trees survived long before us, a history that fine-tunes models of what's ahead. Artist and philosopher Jonathon Keats went further. “The most accurate clock,” he said, “is a tree.” His monumental artwork Centuries of the Bristlecone keeps bristlecone time, a clock calibrated to the trees' own growth over millennia. Together, Heggli, Keats and Csank made the case for long science: patient, continuous observation that will help us answer future urgent questions. “Data at this resolution,” Csank said, “is like a Rosetta Stone” for understanding nature’s resilience. At fourteen years young, the bristlecone record is just beginning, Heggli said, but it already holds the key to questions like these: How will bristlecones adapt? What happens when the droughts and floods they've weathered for millennia arrive faster and more frequently? “We can't answer the questions if we're not watching,” said Csank. “We are the stewards of this data,” Heggli concluded. “This is why we need long science.”
Prende y se apaga sola, sale después de hora. CHARLY GARCÍA La máquina de ser feliz I’ve learned to tolerate them, and sometimes even like them, but Zoom meetings are weird. Even in familiar contexts: I have weekly check-ins with … Continue reading →
the economics are especially interesting
