Skip to main content

Mouse Weaning Challenge

Earlier I issued a challenge to my nerdy readership regarding game theory. The problem was given a prognostication question where one answer had a 1-in-3 chance of occurring and another answer had a 1-in-50 chance of occurring, construct a set of circumstances where it is proper winning strategy to pick the 1-in-50 chance. I was sad that none of the nerdy contingent of my readership was piqued enough to answer!

Assume a field of more than 50 people and some number of evenly-balanced questions in addition to the Miss America Question (with the 1-in-3 and the 1-in-50). If an entrant guesses that no one else will pick the 1-in-50 chance and that the other answers will be chosen roughly according to probability, it is a wise move to pick the 1-in-50. The long shot is a "buy" because it is undervalued by the rest of the entrants. Picking that long shot gives the one person a 2% shot of getting a leg up on the field and, everything else being even, of winning. Picking the popular answer gives the entrant a less than 2% chance of winning (because there are more than 50 entrants).

Another recent fun statistical moment for me. Katie had a big case she was working on over the weeks of Christmas and New Years, which kept us from taking off large blocks of time. I therefore voluteered in lab to do holiday duty for some maintenance tasks that are usually done by others (who did want to take large blocks of time). One of these tasks is weaning the mice. When the pups reach a certain age, they need to be separated by sex in order to prevent unwanted adult behaviors (primarily procreation and male-male aggression) that occur when sexes are mixed for too long. So a litter of mice needs to be split into sex-specific cages, with no more than five female mice or four male mice to a cage (male mice are a little bigger).

The litter that I had to wean on the day after Christmas had 10 pups. I saw no new cages nearby, so I had to walk a long way down the hall to get some. As I walked, I tried to calculate how many cages I would need. It seemed like three cages would be most likely, where my only danger litter would be 9 males and 1 female, which would need four cages, or 10 females, which would need two cages. So, I got three cages, and that turned out to be a good call: the litter held 4 females and 6 males.

When I calculated later, 10 pups is actually the easiest multi-pup litter to predict. 99% of litters require three cages:

Pups 1 cage 2 cages 3 cages 4 cages 5 cages
2 50.0% 50.0%
3 25.0% 75.0%
4 12.5% 87.5%
5 3.1% 96.9%
6 90.6% 9.4%
7 72.7% 27.3%
8 50.0% 50.0%
9 24.8% 75.2%
10 0.1% 98.9% 1.1%
11 74.2% 25.8%
12 50.5% 49.5%
13 27.9% 72.1%
14 6.1% 93.8% 0.1%
15 0.0% 84.4% 15.6%


My guess is that if genders need to be separated, females cages can have no more than f individuals, and male cages can have no more than m individuals, then the easiest litter to predict will be f + m + 1, which will most often use 3 cages. Can anyone prove that?

Comments

  1. Anonymous1:53 PM

    Actually, no. The easiest number to predict will always be 1, requiring 1 cage 100% of the time.

    ReplyDelete
  2. You got me! I did say "multi-pup litter" above, but I did not include the qualifier in my last paragraph.

    ReplyDelete
  3. Anonymous6:12 PM

    OK, more seriously, I suspect that the answer might not be f+m+1 if f >> m or m >> f.

    ReplyDelete
  4. I note that f=m=2 gives you equally good solutions for all odd numbers of mice.
    (also, in addition to "multi-pup litter" you need to specify that there is a 50% chance of female versus male)

    ReplyDelete
  5. you had me at "challenege."

    ReplyDelete

Post a Comment

Popular posts from this blog

Can You Cross Your Toes?

Katie and I had a heated discussion the night before last. We were sitting on the couch watching Jon Stewart when she noticed a large, apparently cancerous growth sticking out of the bottom of my foot. She asked what the big lump in my sock was. "That's my toe," I responded, nonplussed. I had crossed my first and second toes, causing a lump to protrude from the bottom of my sock. Katie was quite alarmed. "You can cross your toes?" "Sure, can't you? Everyone can cross their toes!" "Of course I can't cross my toes. Who can cross their toes?" And I confirmed that Katie could not, in fact, cross her toes. Even manipulating her toes with my fingers, I could not get her toes to stay crossed. She just has very short toes. That led, of course, into a discussion of who was the freak. Were my long, crossable toes abnormal, or were her stubby, uncrossable phalanges the outliers? In case you're confused, here are some pictures. First, of my v...

Max the Model

Katie sometimes talks to Max about all the things he can grow up to be. "Will you grow up to be a scientist like Daddy, or a lawyer like Mommy?" she will query. In recent days, though, we think Max might aspire to be a model. He LOVES the camera. Point it in his direction, and he is mesmerized by the big lens, giving it a big smile. He will sit for long series of photographs, changing his expressions constantly so we'll be sure to get a good one. This is Katie's recent favorite series (mostly because she thinks he looks so cute in the outfit): This is my favorite series, based purely on the dynamic range of emotions that Max is capable of. I am especially fond of the last picture. So cute!

A Little Night Music

I've been in Boston this week at a scientific conference. I've spent nearly all of my time at the conference, but was able to get away a couple of times to see friends. One night off I went out for pizza with Ekrem and Leanne (and their adorable kids). We went to Stone Hearth Pizza , whose head chef is the brother of Bob, one of my labmates in Minneapolis. (He wasn't at the restaurant the night we went, sadly.) Ekrem and Leanne are moving to their new house in a week, and I helped them out by consuming the remainder of a bottle of scotch that they keep at their house for me. I felt very proud of myself for accomplishing this noble task. Last night I went to see Andrea perform in Stephen Sondheim's A Little Night Music , one of my favorite musicals. Beforehand, I had dinner with fraternity friends Jan, Jeannie, David, Emily, and Ian. Dinner conversation was wonderful in that MIT-nerdy way that I greatly miss sometimes. At the end of the meal, for example, my fortune coo...