AISubs v3.7
Good evening, everyone. I'm Kayano Shinobu, general manager of the akb48 group.
The physical performance at the grand opening festival held the other day started from the nnb48 team b2 back up performance today.
I'm sorry for making you wait so long, but I'd like to explain the penalty race announced last year.
I'm sure some of you are wondering what a penalty race is.
The akb48 penalty race is a competition in which all 12 teams compete and decide who is number one.
Individual efforts are evaluated and individual awards are also awarded.
I'd like you to come and learn about the rule of scoring of the three items I just explained.
I'm Norio Torigoe, a statistics scholar who is also very helpful at the akb48 rock-paper-scissors competition.
Hello, I'm Torigoe.
Thank you for your time today.
Thank you for having me.
Now, I'd like you to explain the penalty race to me, Torigoe-sensei.
Okay.
It's about how to decide who wins points based on the number of applications for paid members to the theater park.
First of all, I'd like to explain how to calculate this.
First of all, the park that will be the scoring target is...
...the first park that will be the scoring target is...
...the double rate of how much the paid staff applied for the park.
The double rate of how much the paid staff applied for the park.
The team that exceeded the double rate of this standard...
...will be rewarded with 5 points for the team that exceeded the double rate of this standard.
See you later!
This double rate of standard, how is this double rate of standard calculated?
I would like to explain it.
First of all, I will write such a table for explanation.
Let me explain how to calculate this double rate of standard.
First of all, there is a data of application double rate. I will write it as "y".
Then, I will write the value of the members who participated in it as "x_1", "x_2" and "x_k".
"x_1", "x_2" are replaced by "x_1" and "x_k" if they participated in the performance.
"x_k" is replaced with "x_1" if they did not participate in the performance.
For this application double rate, we will think of such an interval model.
"a_0" of "k" is "a_k" of "x_k" from "1" to "n".
We will think of such models.
By the way, this large symbol "pi" is a multiple of "sigma" symbol, but in mathematics it is a multiplication symbol.
It is like this.
This "a0" to "a1" "a2" "an" is the number of times increased by the number of members.
This calculation formula is composed of data from last year's lecture.
It is calculated by a statistical method called "analytic analysis" from "a0" to "an".
Then, this value represents the potential of each member.
Now, let me explain the values for each member.
First of all, if you perform a performance, you will get points for each performance.
Then, if you perform a performance beyond those standards, you will get 5 points for each performance.
Now, let's simulate how these points will look like.
First of all, "team".
For example, "a" and "k".
Then, "number of performances".
Let's say "a" performed 30 times and "k" performed 40 times.
And among these numbers of performances,
the number of performances exceeding the standard magnification
is, for example, "a" performed 25 times out of 30 times
and "k" performed 20 times out of 40 times.
Then, what is the value of "a"?
"a"'s value is 2 × 30 + 5 × 25, so it's 185 points.
And "k"'s value is 40 × 2 + 20 × 5, so it's 180 points.
The number of performances is "k"'s value ten times higher than the standard magnification,
but more times beyond the standard magnification "a"'s value is greater,
so it's about the same.
Now, what happens if "k"'s value is 24 times "25"?
If "k"'s value is 24 times "24", "a"'s value is exactly 180 and it's the same as "k".
Therefore, how you exceed these standards will be an important point.
Now, I will explain at what timing the standard deviation rate will be announced.
As you can see here, it will be announced when the performance of "members, who will come out?" is performed.
When that happens, the number "who came out?" will be replaced with "one" and this "one" will be placed in this column,
which will calculate the standard deviation rate at that time.
It will be announced at that timing.
However, events such as "sunday" and "birthday festival" are popular,
so the standard deviation rate, which exceeds "sunday" or "birthday festival", will be announced.
The second is about how to evaluate the points won by the akb48 theater version handshake.
First of all, I think there is a handshake sold at the handshake event that day,
and I will evaluate it based on the person who sold it the most.
For example, if you set the sales limit to 100%,
you will get 1.00 points for members who sold more than 95% or less.
If you set the sales limit to 90% or more, you will get 1.00 points for members who sold more than 95%.
The members who sold less than 90% will get 0.95 points for members who sold more than 85%.
With a 5% reduction, you will get 0.05 points for each member who sold more than 85%.
If it's "Nima" it's points lost, 0 points, and 0 points lost.
In this way, the points lost by that day's handshake meeting will be decided.
And in terms of points gained by the entire team,
the total points gained by that member will be the team's points lost.
This is the first criteria for scoring.
What will happen after the second time?
The second time will also be calculated based on the points gained by that day's handshake meeting,
but there is one point.
After the second time, those who gained more points from the previous handshake meeting will receive bonus points.
The number of points gained by that day's handshake meeting will be multiplied by the number of points gained by that day's handshake meeting.
For example, let's think about this example.
Last time, there were members who sold 100 tickets.
This time, they sold 150 tickets.
If you add these 150 tickets to this criteria,
the value will be equal to 0.80.
Normally, this 0.80 value is added,
but if you add the bonus points from last time,
what you can do is multiply the increase rate of 1/100 of 150 by the bonus point 0.80.
If you multiply 0.80 by 0.80, you get 1.5 times the increase rate.
If you multiply 0.80 by 0.80, you get 1.20 points.
So, last time and this time, some members reached the sales limit.
Some members may not reach the sales limit.
In that case, we would like to give a bonus like this to members who reached the sales limit twice in a row or three times in a row.
Last time we reached the sales limit of 1.00.
And for members who reached the sales limit again this time, we would like to multiply 1.10 by 1.00.
In this case, it is easy.
1.10 is the value point.
This is an image that a 10% bonus has been added to the previous score.
If you reach the sales limit again this time, what you can do is multiply 1.10 by 1.10.
And you get 1.21 points for that round.
Now, I think you might have some doubts about the points for handshakes, so I'd like to explain about that.
First of all, what about the points of the members of the board?
The points of the members of the board will be added up to both teams.
Therefore, if this board member, for example, takes 0.8 points,
both of the two teams will receive 0.8 points.
The third is about how to decide the points by general election.
Since it is a general election, I thought about how to decide the points related to this election.
Have you ever heard of this word?
I chose "don't" method.
"Don't" method is a method used by Japanese senators and congressmen when distributing seats in proportional representative elections.
This method is adopted in 40 countries in the world.
So, I'm going to use "don't" method to explain how to divide the winning line from the total number of votes.
This is the total number of votes in 2013 general election.
The first place is Sashihara of Team H and the second place is Oshima of Team K.
First of all, how do we calculate this number of votes?
First of all, let's give Sashihara, who has the highest number of votes, first place.
Then, we'll give Oshima, who has the highest number of votes, first place.
Then, we'll give Mayu Watanabe of Team K, who has the highest number of votes, first place.
Then, we'll give Kashiwagi of Team K, Shinoda of Team K, and Matsui Jurina of Team K.
These are the total number of votes.
If we divide Sashihara's 150,000 votes by 2, we get 75,285 votes.
Then, we'll give Matsui of Team K first place.
Then, we'll give Oshima of Team K first place.
Then, we'll increase the number of votes.
And then, we'll give Sasha of Team K third place.
And then, we'll give Oshima of Team K third place.
In this case, for example, if you think about the previous election 16th place, Mr. Suda,
and you put a circle on it until you get a circle here, it will look like this.
And it will be like this.
Then, until Mr. Suda is given a value of 1,
Mr. Sashihara gets 3 points, Mr. Oshima 3 points, Mr. Watanabe 2 points, and Mr. Kashihara 2 points.
In this way, Mr. Sashihara gets 30 points and Mr. Kashihara gets 30 points.
The general proportional representative election is fair.
In either case, it is the original proportional representative election to divide and rule against the team,
but this time we arranged it a little and applied this don't method with the image that each member is fair in a sense,
and we decided to give these values ​​to each team and the total points to the values ​​in the general proportional representative election.
As for the values ​​of the handshakes earlier, the members who are certified as "s" and "k" like Mr. Matsui and Julia will be given "s" and "k" each.
Mr. Torigoi, thank you very much for today.
You're welcome.
Is it okay for me to consult you if I don't understand anything again?
Of course.
Then I look forward to talking with you.
Yes, thank you.
Thank you for today.
You're welcome.
Now, I would like to hold a penalty race based on the rules explained by Mr. Torigoi.
I will announce the details later in the blog.
As for the problems you pointed out, we have established a penalty race execution committee, so we will review it again there.