Posts filed under General (3152)

August 27, 2017

Overselling research

Three examples that have come across my Twitter feed recently:

A genetic “crystal ball” can predict whether certain people will respond effectively to the flu vaccine. Science News

This is actually really interesting research looking at why some people get high levels of antibodies and others don’t.  However, the ‘crystal ball’ is cloudy. If people are divided into ‘low’, ‘medium’ and ‘high’ responders, and you take one ‘low’ responder and one ‘high’ responder, the test has about a 75% chance of working out which is which.

Is Swiss cheese a superfood?, asks Food & Wine.

According to metro.co.uk, researchers at the University of Korea have found that Swiss cheese has a whole lot of health benefits. It contains a probiotic called—you ready for this?—propionibacterium freudenreichii, which reduces inflammation. Among other things, reducing inflammation can reduce the risk of getting a number of diseases and slow the aging process. Propionibacterium freudenreichii also boosts immune system functions.

The research was carried out in microscopic nematodes, and didn’t involve Swiss cheese. The nematodes eat bacteria, and these ones were given a diet of  Propionibacterium freudenreichii instead of their normal E. coli. While the live bacteria are present in Swiss cheese, the recipes linked from the story would make sure no live bacteria reached your gut.

 

From the Guardian

Dating from 1,000 years before Pythagoras’s theorem, the Babylonian clay tablet is a trigonometric table more accurate than any today, say researchers.

It’s pretty clear that this has to be bullshit. It’s harder to find what’s actually being claimed.  Popular Science has a more balanced view: the conjecture is that the Babylonians worked with triangles where the ratios of side lengths were simple fractions rather than where the angles were simple fractions of a circle.  Like we do in measuring slopes of roads or railways.  If that’s true, it’s an interesting idea and if they knew about trignometric relationships then it pushes back the discovery quite a bit.  It’s still not ‘more accurate than any today’; the rounding-off just happens in a different place.

 

August 25, 2017

Pretty average

Q: Does the Herald really know “The amount of sex you should be having according to your age group”

A: No.

Q: Can they really tell you “ if the regularity of your sex life is “normal”.

A: No.

Q: Is that even a thing?

A: No.

Q: If it was, would a survey of people in the US be especially relevant to NZ?

A: It was from the US? The story didn’t say that.

Today’s episode of simple answers to complex questions is brought to you by the letters F and F and S. 

August 23, 2017

Briefly

  • On Thursday 7 September, 3pm, in Auckland, “The Future of Open Data in Aotearoa”, featuring Ed Corkery (CEO of Koordinates),  Harkanwal Singh (Data Editor, NZ Herald) and Liz MacPherson (Government Statistician)
  • “The flip side of personal genomics: When a mutation doesn’t spell disease” from Nature News
  • Another story about machines learning stereotypes, this time in image recognition.
  • A couple of eclipse graphs:
    From reddit user  superpaow
    eclipse-ow
    and from Noah Illinsky
    eclipse-pow
August 22, 2017

NRL Predictions for Round 25

Team Ratings for Round 25

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.

Current Rating Rating at Season Start Difference
Storm 11.52 8.49 3.00
Broncos 8.46 4.36 4.10
Raiders 5.02 9.94 -4.90
Panthers 4.19 6.08 -1.90
Sharks 2.69 5.84 -3.20
Cowboys 2.66 6.90 -4.20
Roosters 1.26 -1.17 2.40
Dragons -0.63 -7.74 7.10
Eels -0.79 -0.81 0.00
Rabbitohs -0.99 -1.82 0.80
Sea Eagles -1.69 -2.98 1.30
Wests Tigers -3.75 -3.89 0.10
Bulldogs -5.66 -1.34 -4.30
Warriors -6.79 -6.02 -0.80
Knights -8.60 -16.94 8.30
Titans -8.95 -0.98 -8.00

 

Performance So Far

So far there have been 176 matches played, 107 of which were correctly predicted, a success rate of 60.8%.
Here are the predictions for last week’s games.

Game Date Score Prediction Correct
1 Eels vs. Titans Aug 17 30 – 18 11.60 TRUE
2 Rabbitohs vs. Warriors Aug 18 36 – 18 8.20 TRUE
3 Broncos vs. Dragons Aug 18 24 – 12 12.70 TRUE
4 Knights vs. Storm Aug 19 12 – 44 -13.80 TRUE
5 Roosters vs. Wests Tigers Aug 19 22 – 18 9.40 TRUE
6 Cowboys vs. Sharks Aug 19 16 – 26 6.00 FALSE
7 Raiders vs. Panthers Aug 20 22 – 26 5.90 FALSE
8 Bulldogs vs. Sea Eagles Aug 20 30 – 16 -3.10 FALSE

 

Predictions for Round 25

Here are the predictions for Round 25. 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.

Game Date Winner Prediction
1 Broncos vs. Eels Aug 24 Broncos 12.70
2 Raiders vs. Knights Aug 25 Raiders 17.10
3 Wests Tigers vs. Cowboys Aug 25 Cowboys -2.90
4 Titans vs. Bulldogs Aug 26 Titans 0.20
5 Storm vs. Rabbitohs Aug 26 Storm 16.00
6 Sharks vs. Roosters Aug 26 Sharks 4.90
7 Warriors vs. Sea Eagles Aug 27 Sea Eagles -1.10
8 Panthers vs. Dragons Aug 27 Panthers 8.30

 

Mitre 10 Cup Predictions for Round 2

Team Ratings for Round 2

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.

Current Rating Rating at Season Start Difference
Canterbury 18.18 14.78 3.40
Taranaki 6.47 7.04 -0.60
Auckland 6.25 6.11 0.10
Tasman 6.14 9.54 -3.40
Counties Manukau 5.56 5.70 -0.10
Waikato 0.31 -0.26 0.60
Otago -0.25 -0.34 0.10
Wellington -0.35 -1.62 1.30
North Harbour -1.37 -1.27 -0.10
Bay of Plenty -4.82 -3.98 -0.80
Manawatu -4.85 -3.59 -1.30
Hawke’s Bay -6.45 -5.85 -0.60
Northland -11.53 -12.37 0.80
Southland -15.90 -16.50 0.60

 

Performance So Far

So far there have been 7 matches played, 5 of which were correctly predicted, a success rate of 71.4%.
Here are the predictions for last week’s games.

Game Date Score Prediction Correct
1 North Harbour vs. Otago Aug 17 19 – 17 3.10 TRUE
2 Tasman vs. Canterbury Aug 18 0 – 39 -1.20 TRUE
3 Hawke’s Bay vs. Southland Aug 19 24 – 16 14.70 TRUE
4 Taranaki vs. Waikato Aug 19 34 – 29 11.30 TRUE
5 Counties Manukau vs. Auckland Aug 19 16 – 14 3.60 TRUE
6 Northland vs. Bay of Plenty Aug 20 28 – 23 -4.40 FALSE
7 Manawatu vs. Wellington Aug 20 29 – 41 2.00 FALSE

 

Predictions for Round 2

Here are the predictions for Round 2. 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.

Game Date Winner Prediction
1 Southland vs. North Harbour Aug 24 North Harbour -10.50
2 Bay of Plenty vs. Hawke’s Bay Aug 25 Bay of Plenty 5.60
3 Waikato vs. Counties Manukau Aug 25 Counties Manukau -1.30
4 Wellington vs. Taranaki Aug 26 Taranaki -2.80
5 Auckland vs. Northland Aug 26 Auckland 21.80
6 Manawatu vs. Tasman Aug 27 Tasman -7.00
7 Canterbury vs. Otago Aug 27 Canterbury 22.40

 

Currie Cup Predictions for Round 7

Team Ratings for Round 7

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.

Current Rating Rating at Season Start Difference
Cheetahs 5.08 4.33 0.70
Sharks 3.67 2.15 1.50
Lions 3.60 7.41 -3.80
Western Province 3.41 3.30 0.10
Blue Bulls 1.70 2.32 -0.60
Pumas -9.78 -10.63 0.80
Griquas -10.42 -11.62 1.20

 

Performance So Far

So far there have been 18 matches played, 11 of which were correctly predicted, a success rate of 61.1%.
Here are the predictions for last week’s games.

Game Date Score Prediction Correct
1 Western Province vs. Lions Aug 18 39 – 3 2.40 TRUE
2 Blue Bulls vs. Cheetahs Aug 19 40 – 41 1.50 FALSE
3 Griquas vs. Pumas Aug 20 21 – 27 4.70 FALSE

 

Predictions for Round 7

Here are the predictions for Round 7. 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.

Game Date Winner Prediction
1 Pumas vs. Blue Bulls Aug 25 Blue Bulls -7.00
2 Cheetahs vs. Lions Aug 26 Cheetahs 6.00
3 Western Province vs. Sharks Aug 26 Western Province 4.20

 

August 18, 2017

Green and full of terrors

Q: Did you see avocado gives you breast cancer?

A: Me?

Q: Well, women with mutations in the BRCA genes, such as Angelina Jolie

A: 🙄

Q: “Women with the faulty ‘Angelina Jolie’ gene should cut back on trendy avocado-based breakfasts to slash their chances of cancer.

A: No.

Q: So the study wasn’t in women?

A: No. Or avocados.

Q: Mice

A: Not even. Cells in a lab. (press release)

Q: And the avocados?

A: The cells were given extra folate.

Q: And they got cancer?

A: No, they died.

Q: Then why is there a cancer story?

A: The researchers speculated that folate could be part of a future treatment for BRCA-damaged tumours.

Q: That’s kind of not what the Herald says

A: No, but they did get the story from the Daily Mail.

Q: So what do the researchers say about avocados?

A: They don’t mention avocados

Q: Ok, what do they say about folate, then?

A: “The authors caution that no conclusions should be drawn about whether there is any overall effect in a living animal consuming folate.”

Q: So it wasn’t the press release this time

A: No, this looks like it’s down to the Daily Mail.

 

August 16, 2017

Briefly

  • “Is it legal for me to violate Terms of Service in order to collect data for a research project?” (in the US). Casey Fiesler on law and ethics of scraping
  • My first boss as a statistician. John Simes, has won the University of Sydney Vice-Chancellor’s Award for Excellence. Among other things, he was one of the early proponents of universal clinical trial registration. In 1986 he wrote about the impact of publication bias on treatment choice in cancer.
  • A teaching example based on a baseball/brain cancer ‘cluster’ that didn’t hold up.  Much smaller numbers than the brain injury problems in US football or even rugby, and less prior plausibility.
  • It’s not just New Zealanders who have order of magnitude-and-units problems. From The New Yorker, via Felix Salmon
    nyfeet
August 15, 2017

Emoji backlash?

Q: Did you see that using emoji in work-related emails could hurt your career?

A:😕

Q: Yes, it’s apparently a common email mistake

A: 😯

Q: The 549 study participants from 29 countries “were asked to read a work-related email from an unknown person, and were asked to evaluate the competence and warmth of the sender”

A:🤔 💻 🇹🇷

Q: Yes, they were from Amazon’s Mechanical Turk (paper)

A: 😕

Q: Ok, so they weren’t really work-related emails from someone they’d never met, in another country. But the participants were told to pretend they were.

A: 🙁

Q: And it undermined information sharing

A: 😕 👥 💻 🤐 ?

Q: The email replies to messages with emoji had fewer words in them on average

A: 🤔 🙂

Q: Ok, yes, that’s not necessarily a bad thing.

A: 👩‍💼👨🏽‍💼🗣 😀 ?

Q: Is it really common to use emoji in business email? Yes, they say nearly 20% of emails in one previous sample included emoji.

A: 🙄 🇬🇸🇸🇱🇸🇬🇸🇳🇸🇦 👩‍💼👨🏽‍💼🗣 😀 ?

Q: No, I suppose that wasn’t international emails between people who had never met or corresponded before.

A: 🙄

Q: So using emoji in formal emails to a complete stranger could be a bad idea?

A: 😴

 

NRL Predictions for Round 24

Team Ratings for Round 24

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.

Current Rating Rating at Season Start Difference
Storm 10.10 8.49 1.60
Broncos 8.52 4.36 4.20
Raiders 5.81 9.94 -4.10
Cowboys 3.91 6.90 -3.00
Panthers 3.40 6.08 -2.70
Roosters 1.71 -1.17 2.90
Sharks 1.44 5.84 -4.40
Sea Eagles -0.35 -2.98 2.60
Dragons -0.69 -7.74 7.00
Eels -0.83 -0.81 -0.00
Rabbitohs -1.77 -1.82 0.00
Wests Tigers -4.19 -3.89 -0.30
Warriors -6.01 -6.02 0.00
Bulldogs -6.99 -1.34 -5.70
Knights -7.19 -16.94 9.70
Titans -8.92 -0.98 -7.90

 

Performance So Far

So far there have been 168 matches played, 102 of which were correctly predicted, a success rate of 60.7%.
Here are the predictions for last week’s games

Game Date Score Prediction Correct
1 Rabbitohs vs. Bulldogs Aug 10 28 – 14 7.70 TRUE
2 Eels vs. Knights Aug 11 10 – 29 15.00 FALSE
3 Broncos vs. Sharks Aug 11 32 – 10 8.40 TRUE
4 Dragons vs. Titans Aug 12 42 – 16 9.10 TRUE
5 Storm vs. Roosters Aug 12 16 – 13 13.60 TRUE
6 Panthers vs. Cowboys Aug 12 24 – 16 2.00 TRUE
7 Warriors vs. Raiders Aug 13 16 – 36 -5.50 TRUE
8 Wests Tigers vs. Sea Eagles Aug 13 30 – 26 -1.20 FALSE

 

Predictions for Round 24

Here are the predictions for Round 24. 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.

Game Date Winner Prediction
1 Eels vs. Titans Aug 17 Eels 11.60
2 Rabbitohs vs. Warriors Aug 18 Rabbitohs 8.20
3 Broncos vs. Dragons Aug 18 Broncos 12.70
4 Knights vs. Storm Aug 19 Storm -13.80
5 Roosters vs. Wests Tigers Aug 19 Roosters 9.40
6 Cowboys vs. Sharks Aug 19 Cowboys 6.00
7 Raiders vs. Panthers Aug 20 Raiders 5.90
8 Bulldogs vs. Sea Eagles Aug 20 Sea Eagles -3.10