November 24, 2020

Mitre 10 Cup Predictions for the Mitre 10 Cup Finals

Team Ratings for the Mitre 10 Cup 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.

Current Rating Rating at Season Start Difference
Tasman 11.99 15.13 -3.10
Auckland 8.19 6.75 1.40
Canterbury 6.78 8.40 -1.60
Bay of Plenty 5.97 8.21 -2.20
Wellington 5.73 6.47 -0.70
North Harbour 5.23 2.87 2.40
Hawke’s Bay 4.23 0.91 3.30
Waikato 2.02 1.31 0.70
Otago -3.44 -4.03 0.60
Taranaki -4.73 -4.42 -0.30
Northland -5.36 -8.71 3.40
Counties Manukau -10.75 -8.18 -2.60
Southland -10.78 -14.04 3.30
Manawatu -14.98 -10.57 -4.40

 

Performance So Far

So far there have been 74 matches played, 49 of which were correctly predicted, a success rate of 66.2%.
Here are the predictions for last week’s games.

Game Date Score Prediction Correct
1 Otago vs. Northland Nov 20 19 – 32 7.50 FALSE
2 Auckland vs. Waikato Nov 21 23 – 18 10.00 TRUE
3 Hawke’s Bay vs. Taranaki Nov 21 59 – 23 8.60 TRUE
4 Tasman vs. Bay of Plenty Nov 21 19 – 10 9.00 TRUE

 

Predictions for the Mitre 10 Cup Finals

Here are the predictions for the Mitre 10 Cup 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.

Game Date Winner Prediction
1 Hawke’s Bay vs. Northland Nov 27 Hawke’s Bay 12.60
2 Auckland vs. Tasman Nov 28 Tasman -0.80

 

November 21, 2020

Thanksgiving risks

It’s quite difficult to exaggerate how bad the US coronavirus epidemic is. The Washington Post has managed.  They have a map showing the probability that a gathering of 10 local people for Thanksgiving will include at least one Covid case. They say

At the county level nationwide, the average estimated risk of running into a coronavirus-positive person at a 10-person gathering is just a hair under 40 percent. 

As the note on the map says, it assumes the actual case prevalence is 10 times the number of people with positive tests.  That’s a bit high — it comes from much earlier in the year, when testing was rarer).  It’s also a bit high if we assume that obviously unwell people (who are included in the prevalence estimate) are more likely to skip the celebration.

On top of that, though, the calculations (based on this paper) assume Covid infection status for the 10 participants is independent.  That was a reasonable approximation for the original paper, which looked at public gathering.  It’s not a great assumption for Thanksgiving, where people tend to attend in household groups.  The ‘effective’ gathering size will be less than the number of individuals, and closer to the number of households participating. So, if the prevalence is 1%, the risk based on three independent households is about 3%; the risk based on 10 independent people is about 10%. The truth will lie somewhere between.

And, as you can tell from looking at the map, there’s something wrong with saying the nationwide average risk is 40%, since 0-20% range includes nearly all the high-population parts of the US. The 40% is an average of counties, with no easy way to translate it into a risk for people.

Why am I pointing this out, when the map only strengthens the sensible public-health advice to stay the fuck away from Thanksgiving dinners? Because it is not true that 40% of the ten-person Thanksgiving gatherings in the US (and the vast majority of those in the Dakotas) should expect to come down with Covid this week, and people will notice that it wasn’t true. The truth doesn’t just matter for ethical reasons, it matters for any effective risk communication that isn’t just a one-shot attempt.

November 19, 2020

Effectiveness of masks?

There’s a new study from Denmark that, if you don’t read carefully, looks like it has found evidence that masks don’t work to stop Covid. You’ll probably be hearing about it. [Update: on Newshub now] Here’s the NYTimes take.

The study randomly allocated 5000 people to wear masks or not, and found 42 people with antibodies to the Covid virus in the mask group and 53 in the no-mask group. From the abstract, the researcher concluded

The recommendation to wear surgical masks to supplement other public health measures did not reduce the SARS-CoV-2 infection rate among wearers by more than 50% in a community with modest infection rates, some degree of social distancing, and uncommon general mask use.

The results for actual diagnosed infection were a bit better: 5 vs 10.

Let’s look at the ‘limitations’ reported in the abstract

Inconclusive results, missing data, variable adherence, patient-reported findings on home tests, no blinding, and no assessment of whether masks could decrease disease transmission from mask wearers to others. [emphasis added]

So, based on a study that was too small, they argue that a mask doesn’t reduce your personal chance of being infected by more than half, and they didn’t look at whether it reduces your risk of infecting other people.

In NZ, our mask advice (and, from today, rules) is based on the benefits both ways, but more on reducing your risk to other people. Here’s the message from Toby Morris and Siouxsie Wiles

and

and

It’s hard to get rigorous evaluations of the benefits of masks. Most of the evidence we have comes from theory (it stops droplets, so it should reduce infection), from individual examples (eg two hair stylists who didn’t infect any of their clients), and from comparisons of trends between countries, states, and counties with different polices.

There are good reasons to believe masks reduce risk. It would be nice to have the sort of evidence we have for the new vaccines, but that’s not going to happen — and at least masks are safe and only slightly annoying.

November 18, 2020

Common exposures are common

Q: Did you hear that pizza boxes are going to stop the Covid vaccine working?

A: You mean people will mistakenly store the vaccine in pizza boxes instead of ultracold deep freeze?

Q: No, research shows that pizza boxes and lots of other things contain chemicals that stop vaccines working. According to the Guardian.

A: Even the Guardian says “At this stage we don’t know if it will impact a corona vaccination”

Q: And is that true?

A: No.

Q: What?

A: The story says these chemicals are ubiquitous, with the majority of people being exposed.

Q: Yes, that’s the scary part

A: So people in the Covid vaccine trials will also have been exposed.

Q: I suppose so?

A: The trials estimate the effect of the vaccines in a reasonably diverse group of people from the US population.  If polybathroomfloorine, or anything else widespread, has an adverse effect on the vaccines, that’s already baked in to the trial results.

Q: So without the chemicals, the vaccines might have been, say, 95% effective?

A: If you believe there’s a relationship, yes, that’s what you’d think.

November 17, 2020

Top 14 Predictions for Postponed Games

Team Ratings for Postponed Games

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
Lyon Rugby 5.91 5.61 0.30
Racing-Metro 92 5.90 6.21 -0.30
Stade Toulousain 4.92 4.80 0.10
La Rochelle 4.47 2.32 2.20
Clermont Auvergne 4.24 3.22 1.00
RC Toulonnais 4.19 3.56 0.60
Bordeaux-Begles 3.17 2.83 0.30
Montpellier 2.12 2.30 -0.20
Stade Francais Paris -0.81 -3.22 2.40
Castres Olympique -1.77 -0.47 -1.30
Section Paloise -3.54 -4.48 0.90
Brive -4.32 -3.26 -1.10
Aviron Bayonnais -4.87 -4.13 -0.70
SU Agen -9.06 -4.72 -4.30

 

Performance So Far

So far there have been 53 matches played, 37 of which were correctly predicted, a success rate of 69.8%.
Here are the predictions for last week’s games.

Game Date Score Prediction Correct
1 Aviron Bayonnais vs. Montpellier Nov 14 29 – 20 -2.40 FALSE
2 Brive vs. Racing-Metro 92 Nov 14 19 – 23 -4.80 TRUE
3 Castres Olympique vs. Bordeaux-Begles Nov 14 29 – 30 0.80 FALSE
4 Section Paloise vs. Stade Toulousain Nov 14 16 – 22 -2.50 TRUE
5 Stade Francais Paris vs. La Rochelle Nov 14 35 – 13 -1.30 FALSE
6 SU Agen vs. RC Toulonnais Nov 14 9 – 38 -6.30 TRUE

 

Predictions for Postponed Games

Here are the predictions for Postponed Games. 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 La Rochelle vs. Racing-Metro 92 Nov 23 La Rochelle 0.80
2 Montpellier vs. Castres Olympique Nov 21 Montpellier 7.40
3 Aviron Bayonnais vs. RC Toulonnais Nov 22 RC Toulonnais -2.60
4 Clermont Auvergne vs. Lyon Rugby Nov 22 Clermont Auvergne 3.80

 

Super Rugby Unlocked 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
Bulls 1.84 -1.45 3.30
Sharks 1.16 4.01 -2.80
Stormers 0.80 1.00 -0.20
Lions -3.00 -4.82 1.80
Cheetahs -8.14 -10.00 1.90
Pumas -11.27 -10.00 -1.30
Griquas -12.65 -10.00 -2.70

 

Performance So Far

So far there have been 16 matches played, 12 of which were correctly predicted, a success rate of 75%.
Here are the predictions for last week’s games.

Game Date Score Prediction Correct
1 Griquas vs. Sharks Nov 13 33 – 34 -10.70 TRUE
2 Stormers vs. Cheetahs Nov 14 30 – 13 12.70 TRUE

 

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 Bulls vs. Pumas Nov 20 Bulls 17.60
2 Cheetahs vs. Griquas Nov 21 Cheetahs 9.00
3 Sharks vs. Stormers Nov 21 Sharks 4.90

 

Rugby Premiership Predictions for Round 1

Team Ratings for Round 1

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
Exeter Chiefs 7.35 7.35 0.00
Wasps 5.66 5.66 -0.00
Sale Sharks 4.96 4.96 -0.00
Bath 2.14 2.14 0.00
Bristol 1.28 1.28 -0.00
Gloucester -1.02 -1.02 0.00
Harlequins -1.08 -1.08 -0.00
Northampton Saints -2.48 -2.48 0.00
Worcester Warriors -5.71 -5.71 0.00
Leicester Tigers -6.14 -6.14 -0.00
London Irish -8.05 -8.05 -0.00
Newcastle Falcons -10.00 -10.00 0.00

 

Predictions for Round 1

Here are the predictions for Round 1. 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 Harlequins vs. Exeter Chiefs Nov 21 Exeter Chiefs -3.90
2 Sale Sharks vs. Northampton Saints Nov 21 Sale Sharks 11.90
3 Bath vs. Newcastle Falcons Nov 21 Bath 16.60
4 Leicester Tigers vs. Gloucester Nov 22 Gloucester -0.60
5 Worcester Warriors vs. London Irish Nov 22 Worcester Warriors 6.80
6 Wasps vs. Bristol Nov 23 Wasps 8.90

 

Pro14 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
Leinster 18.93 16.52 2.40
Munster 9.02 9.90 -0.90
Ulster 7.30 4.58 2.70
Edinburgh 4.77 5.49 -0.70
Glasgow Warriors 3.90 5.66 -1.80
Scarlets 1.43 1.98 -0.60
Cardiff Blues 0.55 0.08 0.50
Connacht 0.54 0.70 -0.20
Cheetahs -0.46 -0.46 0.00
Ospreys -2.72 -2.82 0.10
Treviso -4.48 -3.50 -1.00
Dragons -8.69 -7.85 -0.80
Southern Kings -14.92 -14.92 0.00
Zebre -15.18 -15.37 0.20

 

Performance So Far

So far there have been 32 matches played, 23 of which were correctly predicted, a success rate of 71.9%.
Here are the predictions for last week’s games.

Game Date Score Prediction Correct
1 Connacht vs. Scarlets Nov 15 14 – 20 6.70 FALSE
2 Munster vs. Ospreys Nov 16 38 – 22 18.70 TRUE
3 Zebre vs. Ulster Nov 17 14 – 57 -14.10 TRUE
4 Cardiff Blues vs. Treviso Nov 17 22 – 5 10.30 TRUE
5 Leinster vs. Edinburgh Nov 17 50 – 10 19.20 TRUE

 

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 Zebre vs. Connacht Nov 23 Connacht -9.20
2 Ospreys vs. Treviso Nov 23 Ospreys 8.30
3 Leinster vs. Cardiff Blues Nov 23 Leinster 24.90
4 Ulster vs. Scarlets Nov 23 Ulster 12.40
5 Dragons vs. Edinburgh Nov 24 Edinburgh -7.00
6 Glasgow Warriors vs. Munster Nov 24 Glasgow Warriors 1.40

 

Mitre 10 Cup Predictions for the Mitre 10 Cup Semi-Finals

Team Ratings for the Mitre 10 Cup 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.

Current Rating Rating at Season Start Difference
Tasman 11.99 15.13 -3.10
Auckland 8.58 6.75 1.80
Canterbury 6.78 8.40 -1.60
Bay of Plenty 5.97 8.21 -2.20
Wellington 5.73 6.47 -0.70
North Harbour 5.23 2.87 2.40
Hawke’s Bay 2.56 0.91 1.70
Waikato 1.63 1.31 0.30
Otago -2.13 -4.03 1.90
Taranaki -3.06 -4.42 1.40
Northland -6.67 -8.71 2.00
Counties Manukau -10.75 -8.18 -2.60
Southland -10.78 -14.04 3.30
Manawatu -14.98 -10.57 -4.40

 

Performance So Far

So far there have been 70 matches played, 46 of which were correctly predicted, a success rate of 65.7%.
Here are the predictions for last week’s games.

Game Date Score Prediction Correct
1 Counties Manukau vs. Southland Nov 13 25 – 17 2.10 TRUE
2 Northland vs. Waikato Nov 14 28 – 17 -7.70 FALSE
3 Otago vs. Tasman Nov 14 20 – 26 -12.00 TRUE
4 Wellington vs. Manawatu Nov 14 31 – 5 23.10 TRUE
5 Bay of Plenty vs. North Harbour Nov 15 37 – 33 3.70 TRUE
6 Taranaki vs. Hawke’s Bay Nov 15 33 – 34 -3.00 TRUE
7 Canterbury vs. Auckland Nov 15 34 – 33 1.20 TRUE

 

Predictions for the Mitre 10 Cup Semi-Finals

Here are the predictions for the Mitre 10 Cup 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.

Game Date Winner Prediction
1 Otago vs. Northland Nov 20 Otago 7.50
2 Auckland vs. Waikato Nov 21 Auckland 10.00
3 Hawke’s Bay vs. Taranaki Nov 21 Hawke’s Bay 8.60
4 Tasman vs. Bay of Plenty Nov 21 Tasman 9.00

 

And then there were two

We have data on a second Covid vaccine candidate, and it’s similar to the first one.  Moderna  released their first analysis results today: out of 95 cases of Covid, 90 were in the placebo group and 5 in the vaccine group . Even better, they had enough cases of serious disease to analyse, and these split 11:0.

Both of the vaccines use the same new technology, where little bits of messenger RNA, coding for the virus spike protein are introduced into your cells. Your cells make the protein just as if they’d been infected and your immune system reacts.  At least, that was the theory, and it does seem to have worked.   We haven’t heard from any of the trials using more traditional technologies, which would produce vaccines that are easier to distribute and may be easier to manufacture by the truckload.

The next important step, fairly soon, is an FDA external advisory committee meeting.  This should be more informative than peer-reviewed publication: it’s peer review, but involving a lot more information than goes into a published paper, and a wider range of reviewers — and it’s done in public.

There are still problems to be considered:

  1. The vaccines have not been tested in children or pregnant women. That’s standard, except for treatments specifically aimed at children or pregnant women, but it’s an important gap.  The pregnancy exclusion is probably less important from a public health point of view, since a very small fraction of the population is pregnant at any given time. Kids, though.
  2. We don’t know yet how long protection lasts — if it’s only a few months, that’s a problem
  3. We don’t know yet how much asymptomatic infection is prevented
  4. NZ doesn’t seem to have bought any of the Moderna vaccine yet — the Minister says we’re in negotiations

Also, these vaccines are going to have more short-term side effects than we may be used to: a lot of people will feel a bit average the day after a dose, and a decent chunk will feel pretty average. That’s going to help the vaccine misinformation pushers, especially if health authorities aren’t honest about it.