Skip to main content
Advertisment
Home

Main navigation

  • Life Sciences
  • Physical Sciences
  • Environment
  • Social Sciences
  • Education
  • Policy
  • Medicine
  • Brain & Behavior
  • Technology
  • Free Thought
  1. appliedstatistics
  2. Recently at the Mother Blog

Recently at the Mother Blog

  • email
  • facebook
  • linkedin
  • X
  • reddit
  • print
User Image
By agelman on November 5, 2009.

Slipperiness of the term "risk aversion"

Med School Interview Questions

How to think about how to think about causality

Tags
Uncategorized

More like this

Advertisment

Donate

ScienceBlogs is where scientists communicate directly with the public. We are part of Science 2.0, a science education nonprofit operating under Section 501(c)(3) of the Internal Revenue Code. Please make a tax-deductible donation if you value independent science communication, collaboration, participation, and open access.

You can also shop using Amazon Smile and though you pay nothing more we get a tiny something.

 

Science 2.0

  • Ultra Patchwork Food: California AB 2244 Is An Expensive Anti-Science Mess
  • Kids Helping Kids Is Universal - But Cultures Help Differently
  • Is Coastal Flooding Now Predictable?
  • Flying With Gamma-Ray Counters: Another Test Or Two Of The Radiacode Zero
  • Enzyme USP15 Limits Ovarian Cancer Cells And Boosts Chemotherapy

Science Codex

More by this author

Bye
July 11, 2010
I realize that I haven't been posting much here. We had some plans to use the Applied Statistics blog for other purposes but it didn't really work out, so from now on you can go to my main blog for your statistical entertainment.
"How many zombies do you know?" Using indirect survey methods to measure alien attacks and outbreaks of the undead
July 1, 2010
I've been told that it's zombie day, so I thought I'd link to this research article by Gelman and Romero: The zombie menace has so far been studied only qualitatively or through the use of mathematical models without empirical content. We propose to use a new tool in survey research to allow…
Scientists can read your mind . . . as long as the're allowed to look at more than one place in your brain and then make a prediction after seeing what you actually did
June 23, 2010
Maggie Fox writes: Brain scans may be able to predict what you will do better than you can yourself . . . They found a way to interpret "real time" brain images to show whether people who viewed messages about using sunscreen would actually use sunscreen during the following week. The scans were…
Ethical and data-integrity problems in a study of mortality in Iraq
April 27, 2010
See discussion here. I've linked to it from here because ScienceBlogger and investigative journalist Tim Lambert has written some on the topic.
Random matrices in the news
April 12, 2010
Mark Buchanan wrote a cover article for the New Scientist on random matrices, a heretofore obscure area of probability theory that his headline writer characterizes as "the deep law that shapes our reality." It's interesting stuff, and he gets into some statistical applications at the end, so I'll…

More reads

Our Galaxy's Next Supernova
"The diversity of the phenomena of nature is so great, and the treasures hidden in the heavens so rich, precisely in order that the human mind shall never be lacking in fresh nourishment." -Johannes Kepler So said the man who, in 1604, discovered the supernova that was the last to be seen, visually, within our own galaxy. Although it's likely that two others occurred subsequently, they were not…
Jupiter's Great Red Spot gets its first-ever close up today (Synopsis)
"Juno will peer hundreds of miles downward into the atmosphere with its microwave radiometer, which passively senses heat coming from within the planet. This capability will enable Juno to reveal the deep structure of the Great Red Spot, along with other prominent Jovian features, such as the colorful cloud bands." -Tricia Talbert Jupiter’s Great Red Spot is one of the enduring mysteries and…
It from Bit: Is the Universe a Cellular Automaton?
“It's always seemed like a big mystery how nature, seemingly so effortlessly, manages to produce so much that seems to us so complex. Well, I think we found its secret. It's just sampling what's out there in the computational universe.” -Stephen Wolfram In the mid-20th century, computers allowed us to explore a brand new idea: that a discrete space, with a simple set of rules and straightforward…

© 2006-2026 Science 2.0. All rights reserved. Privacy statement. ScienceBlogs is a registered trademark of Science 2.0, a science media nonprofit operating under Section 501(c)(3) of the Internal Revenue Code. Contributions are fully tax-deductible.