Posts filed under General (3148)

Team Ratings for the Semi-finals

The basic method is described on my Department home page.
Here are the team ratings prior to this week’s games, along with the ratings at the start of the season.

Performance So Far

So far there have been 183 matches played, 133 of which were correctly predicted, a success rate of 72.7%.
Here are the predictions for last week’s games.

Predictions for the Semi-finals

Here are the predictions for the Semi-finals. The prediction is my estimated expected points difference with a positive margin being a win to the home team, and a negative margin a win to the away team.

Team Ratings for the Super Rugby Final

The basic method is described on my Department home page.
Here are the team ratings prior to this week’s games, along with the ratings at the start of the season.

Performance So Far

So far there have been 90 matches played, 67 of which were correctly predicted, a success rate of 74.4%.
Here are the predictions for last week’s games.

Predictions for the Super Rugby Final

Here are the predictions for the Super Rugby Final. The prediction is my estimated expected points difference with a positive margin being a win to the home team, and a negative margin a win to the away team.

Team Ratings for the Final

The basic method is described on my Department home page.
Here are the team ratings prior to this week’s games, along with the ratings at the start of the season.

Performance So Far

So far there have been 155 matches played, 90 of which were correctly predicted, a success rate of 58.1%.
Here are the predictions for last week’s games.

Predictions for the Final

Here are the predictions for the Final. The prediction is my estimated expected points difference with a positive margin being a win to the home team, and a negative margin a win to the away team.

Team Ratings for the Semi Finals

The basic method is described on my Department home page.
Here are the team ratings prior to this week’s games, along with the ratings at the start of the season.

Performance So Far

So far there have been 41 matches played, 28 of which were correctly predicted, a success rate of 68.3%.
Here are the predictions for last week’s games.

Predictions for the Semi Finals

Here are the predictions for the Semi Finals. The prediction is my estimated expected points difference with a positive margin being a win to the home team, and a negative margin a win to the away team.

• The “Causality, Applications, and Research in Education and Statistics” lab at Harvard has a blog. A bit more technical than StatsChat.
• There are many contexts where absolute risk differences are more relevant than relative risks, but as Hilda Bastian explains, not all.
• Making data ‘visual’isation more accessible for blind and low vision users.
• Good graphics-based electoral data analysis from the West Island
• “In search of the least viewed article on Wikipedia” and why it’s about a moth
• Representing images from the Hubble telescope with sound?
• Science education in an age of misinformation
• The average gun in the US has a relatively low chance of killing someone, but the average person has a relatively high chance of being killed. Which is the most useful denominator?
• Science editing handbook from the Knight School of Journalism at MIT

From the Herald today (from the Daily Telegraph)

The story is somewhat better than the headline — for a start, it mentions in the second sentence that this is unpublished research being presented at a conference, so it’s really just a press release and there won’t be much further information available.  There’s a slightly more detailed story at Yahoo, from the Evening Standard.

You might think from the the headline that the research studied men who ran marathons after the age of 40, and that it came with recommendations not to do this.  Not quite. These were people aged over 40 who had taken part in more than 10 endurance events and had exercised regularly for at least 10 years, but quite a lot of their excessive exercise could have taken place when they were under 40.  More importantly, there wasn’t a “warning”:  the Yahoo piece quotes the researchers as saying

“In non-athletes, aortic stiffening is associated with heart and circulatory diseases.

“How this finding applies to potential risk in athletes is not yet fully understood, so more work will be needed to help identify who could be more at risk.”

As usual, this isn’t the first piece of research on the topic.

Earlier research of endurance athletes over 50, from 2020 (press release, paper) supports the current findings. It did find enlargement of the aorta in male but not female athletes, and like the current research it came with vague concerns rather than dire warnings

The first option is that aortic enlargement among masters athletes is a benign adaptation and another feature of the so-called athlete’s heart, where big is good. “The alternative is that being a lifelong exerciser may cause dilation of the aorta with the sort of attendant risk seen in nonathletes.”

A 2021 paper looked at the ‘aortic age’ in people doing their first marathon, at ages ranging from 21 to 69. It found

… a reduction in “aortic age” by 3.9 years (95% CI: 1.1 to 7.6 years) and 4.0 years (95% CI: 1.7 to 8.0 years) (Ao-P and Ao-D, respectively). Benefit was greater in older, male participants with slower running times (p < 0.05 for all).

That is, if these measurements have the same interpretation in athletes as in normal people, running a single marathon seems to be good for men over 40.

It might turn out that overindulgence in marathon running is bad for your cardiovascular system, but we’re not there yet.  If you’re running for fitness, you might be better off not going the full 42km. But if you enjoy it, go in (hopefully) good health.

Team Ratings for Round 14

The basic method is described on my Department home page.
Here are the team ratings prior to this week’s games, along with the ratings at the start of the season.

Performance So Far

So far there have been 100 matches played, 69 of which were correctly predicted, a success rate of 69%.
Here are the predictions for last week’s games.

Predictions for Round 14

Here are the predictions for Round 14. The prediction is my estimated expected points difference with a positive margin being a win to the home team, and a negative margin a win to the away team.

Team Ratings for the Semi-Finals

The basic method is described on my Department home page.
Here are the team ratings prior to this week’s games, along with the ratings at the start of the season.

Performance So Far

So far there have been 148 matches played, 108 of which were correctly predicted, a success rate of 73%.
Here are the predictions for last week’s games.

Predictions for the Semi-Finals

Here are the predictions for the Semi-Finals. The prediction is my estimated expected points difference with a positive margin being a win to the home team, and a negative margin a win to the away team.

Team Ratings for the Quarter-finals

The basic method is described on my Department home page.
Here are the team ratings prior to this week’s games, along with the ratings at the start of the season.

Performance So Far

So far there have been 181 matches played, 131 of which were correctly predicted, a success rate of 72.4%.
Here are the predictions for last week’s games.

Predictions for the Quarter-finals

Here are the predictions for the Quarter-finals. The prediction is my estimated expected points difference with a positive margin being a win to the home team, and a negative margin a win to the away team.

Team Ratings for the Semi-finals

The basic method is described on my Department home page.
Here are the team ratings prior to this week’s games, along with the ratings at the start of the season.

Performance So Far

So far there have been 88 matches played, 65 of which were correctly predicted, a success rate of 73.9%.
Here are the predictions for last week’s games.

Predictions for the Semi-finals

Here are the predictions for the Semi-finals. The prediction is my estimated expected points difference with a positive margin being a win to the home team, and a negative margin a win to the away team.