*angry huffing*
So this week has been awful.
But luckily I have a ridiculously incredible fiancé who picked up some super colorful flowers for me on his way home from work today, just because he knows things have gone south for me over the past few days and he wanted to show he cares.
I can’t wait to marry this man.
Two other completely unrelated bits of news:
- I had a scintillating scotoma migraine this morning. It’s been awhile since I’ve had one of those.
- I want you all to hear 2016’s first five-star song. It’s incredible.
LAJDFLDS
THE RAGE
MAKES IT
HARD TO BLOG
FFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFF
POOF
If you haven’t witnessed The Captioned Adventures of George Washington (by ladyhistory) on Tumblr, you’re missing out, yo.
That’s all.
Reunited (would it feel so good?)
Lawl. My 2006 high school graduating class is planning a 10-year reunion. I have basically zero interest in seeing any of those people again (except maybe my little gaggle of weirdo friends; those guys were great), but it would be interesting to see where everyone is in their lives 10 years after high school. Are they where they thought they’d be? I know I’m sure as hell not.
If this was going on when I was “scheduled” to be in Moscow (early May…hopefully), I might go, but it’s in the middle of July and I don’t really have much of an urge to fly all the way to Moscow to see people I hardly remember and hardly cared about.
The only reason I’d like to go is to see the old gang of friends. I still care about them. I have a good picture of us all outside the Palouse mall taken sometime in our senior year (or maybe even that summer after); it’d be pretty cool if we could re-do that photo ten years later, eh?
Week 5: The Single-Sample Test for Evaluating Population Kurtosis
Last week we did a test for population skew, which represents the third moment about the mean. Now we’re going to move onto the fourth moment by doing a single-sample test to evaluate population kurtosis!
When Would You Use It?
The test of population kurtosis test is a parametric test used in a single sample situation to assess if a sample originates from a population that is mesokurtic (as opposed to leptokurtic or platykurtic).
What Type of Data?
The test for kurtosis requires interval or ratio data.
Test Assumptions
None listed.
Test Process
Step 1: Formulate the null and alternative hypotheses. The null hypothesis claims that the kurtosis parameter γ2 in the population is equal to 0, which corresponds to a mesokurtic distribution; the alternative hypothesis claims otherwise (the population kurtosis parameter is greater than, less than, or not equal to the value specified in the null hypothesis, suggesting a leptokurtic or platykurtic distribution).
Step 2: Compute the test statistic value, a z-score. The test statistic requires several calculations to be obtained. The calculations are as follows:
Step 3: Obtain the p-value associated with the calculated chi-square. The p-value indicates the probability of observing a test statistic as extreme or more extreme than the observed test statistic, under the assumption that the null hypothesis is true.
Step 4: Determine the conclusion. If the p-value is larger than the prespecified α-level, fail to reject the null hypothesis (that is, retain the claim that the population distribution is mesokurtic). If the p-value is smaller than the prespecified α-level, reject the null hypothesis in favor of the alternative.
Example
The data for this example come from my n = 365 song downloads from 2010. I want to create a hypothesis test regarding the kurtosis of the distribution of song lengths (in seconds).
H0: γ2 = 0
Ha: γ2 0
Set α = 0.05.
Computations:
Since our p-value is basically zero, it is smaller than our alpha-level, and we reject H0 and claim that the population is not mesokurtic (γ2 ≠ 0).
Example in R
dat = read.table('clipboard',header=T) #'dat' is the name of the imported raw data
n = length(dat)
xbar = mean(dat)
k = ((((sum((dat-xbar)^4))*n*(n+1))/(n-1))-(3*((sum((dat-xbar)^2))^2)))/((n-2)*(n-3))
s = sqrt(((sum(dat^2))-(((sum(dat))^2)/n))/(n-1))
g2 = k/(s^4)
A = (24*n*(n-2)*(n-3))/(((n+1)^2)*(n+3)*(n+5))
B = (g2*(n-2)*(n-3))/((n-1)*(n+1)*sqrt(A))
C = ((6*((n^2)-(5*n)+2))/((n+7)*(n+9)))*sqrt((6*(n+3)*(n+5))/(n*(n-2)*(n-3)))
D = 6+(8/C)*((2/C)+sqrt(1+(4/(C^2))))
E = (1-(2/D))/(1+(B*sqrt(2/(D-4))))
z = (1-(2/(9*D))-((E)^(1/3)))/(sqrt(2/(9*D))) #test statistic
pval = (1-pnorm(z))*2 #p-value
kldjflkajdflahsdl;fhga;gj
This survey’s hella long, but I’m hella nervous, so this is all you get today.
1: when you have cereal, do you have more milk than cereal or more cereal than milk?
Definitely more cereal than milk. But I guess the only two cereals I ever even have with milk are Fruit Loops and Rice Krispies; the rest I eat dry.
2: do you like the feeling of cold air on your cheeks on a wintery day?
It’s always freaking windy here, so not really, no.
3: what random objects do you use to bookmark your books?
Usually index cards, or torn off corners of paper.
4: how do you take your coffee/tea?
Plain? I don’t drink coffee, though.
5: are you self-conscious of your smile?
I smile like a turd.
6: do you keep plants?
In socialist Canada, plants keep YOU!
7: do you name your plants?
In socialist Canada, plants name YOU!
8: what artistic medium do you use to express your feelings?
What are these…”feelings?”
(I draw and write.)
9: do you like singing/humming to yourself?
I like singing out loud better, but sure.
10: do you sleep on your back, side, or stomach?
On my back or side, usually.
11: what’s an inner joke you have with your friends?
“Love is universal: true or false?”
12: what’s your favorite planet?
Uranus. ‘Cause it’s all tilty.
13: what’s something that made you smile today?
Nate!
14: if you were to live with your best friend in an old flat in a big city, what would it look like?
I don’t know if I have a best friend. Is Sean my best friend even though I haven’t talked to him in like 40 years? If I lived with Sean again, there’d be guitars (both real and of the Rock Band variety) EVERYWHERE. We probably wouldn’t be the tidiest of people, either.
15: go google a weird space fact and tell us what it is!
Jupiter’s day lasts 9 hours and 55 minutes. That’s not too weird, but I’m too lazy to Google something and that’s just a Jupiter fact that I knew.
16: what’s your favorite pasta dish?
Penne noodles with broccoli and feta. So good.
17: what color do you really want to dye your hair?
I don’t want to dye my hair.
18: tell us about something dumb/funny you did that has since gone down in history between you and your friends and is always brought up.
That time we were hooliganing around Moscow and I had the back of the Subaru open for like half a mile.
19: do you keep a journal? what do you write/draw/ in it?
My blog is my journal.
My blog is my life.
20: what’s your favorite eye color?
Blue.
21: talk about your favorite bag, the one that’s been to hell and back with you and that you love to pieces.
The Kipling black bag that my grandma got me. I use it on my walks.
22: are you a morning person?
God, no.
23: what’s your favorite thing to do on lazy days where you have 0 obligations?
Go walking! Get some miles, yo.
24: is there someone out there you would trust with every single one of your secrets?
No.
25: what’s the weirdest place you’ve ever broken into?
I’ve never broken into anywhere.
26: what are the shoes you’ve had for forever and wear with every single outfit?
I haven’t had any shoes “forever,” but I do wear my walking shoes with everything.
27: what’s your favorite bubblegum flavor?
Whatever that watermelon flavor of the 5 gum is.
28: sunrise or sunset?
Sunset.
29: what’s something really cute that one of your friends does and is totally endearing?
I have no idea.
30: think of it: have you ever been truly scared?
Yes. Idler’s Rest. I was sure Rob and I were going to be killed.
31: what is your opinion of socks? do you like wearing weird socks? do you sleep with socks? do you confine yourself to white sock hell? really, just talk about socks.
I like wearing socks, but that’s mainly ‘cause I’m always so freaking cold. But they have to be ostentatious socks! The weirder, the better.
32: tell us a story of something that happened to you after 3AM when you were with friends.
It was summer 2010 and I was visiting Moscow from Vancouver. Matt, Maggie, Alex, and I commandeered my mom’s car and, after being hooligans in the downtown fountain and at Shari’s, we drove out to Idler’s Rest (this was like two and a half years after Rob and I almost died out there, so we felt safe) and we all just had a bitch/cry fest about how none of our lives were what we wanted at the time. It was very cathartic.
33: what’s your fave pastry?
Croissants.
34: tell us about the stuffed animal you kept as a kid. what is it called? what does it look like? do you still keep it?
The main one I can remember is Missy Witch-Witch. I had her over at my dad’s condo and she hung out on the top bunk with me. I still have her…somewhere.
35: do you like stationary and pretty pens and so on? do you use them often?
I think you mean “stationery.” Not a huge stationery user. And the only pens I like anymore are those four-color ones.
36: which band’s sound would fit your mood right now?
I could go for some Muse.
37: do you like keeping your room messy or clean?
Clean.
38: tell us about your pet peeves!
PEOPLE WHO DON’T KNOW HOW TO WALK COURTEOUSLY. IT’S NOT ROCKET SCIENCE YOU LITTLE TURDS
39: what color do you wear the most?
Probably pink.
40: think of a piece of jewelry you own: what’s it’s story? does it have any meaning to you?
My engagement ring means very, very much to me.
41: what’s the last book you remember really, really loving?
The Leibniz bio. It’s wonderful. It’s the closest thing I have to the real Leibniz.
42: do you have a favorite coffee shop? describe it!
Pfft, coffee.
43: who was the last person you gazed at the stars with?
Nate!
44: when was the last time you remember feeling completely serene and at peace with everything?
Ha. It’s been awhile.
45: do you trust your instincts a lot?
My instincts are usually right about the “big” things, like moving to Calgary and whatnot.
46: tell us the worst pun you can think of.
Do physical comedians suffer from post-dramatic jest disorder?
47: what food do you think should be banned from the universe?
Celery. The hell even is celery? It’s not a food, that’s for sure.
48: what was your biggest fear as a kid? is it the same today?
I have no idea what my biggest fear was as a kid.
49: do you like buying CDs and records? what was the last one you bought?
I haven’t bought a physical CD in a long time. I can’t even remember the last one I did buy.
50: what’s an odd thing you collect?
Souls.
51: think of a person. what song do you associate with them?
I associate The Butt Song with pretty much everyone from marching band.
52: what are your favorite memes of the year so far?
I don’t know if this counts as a meme, but I like the “tag yourself, I’m ______” thing going around on Tumblr.
53: have you ever watched the rocky horror picture show? heathers? beetlejuice? pulp fiction? what do you think of them?
None of the above, at least in their entirety.
54: who’s the last person you saw with a true look of sadness on their face?
Probably my mom. Which is the most depressing thing ever.
55: what’s the most dramatic thing you’ve ever done to prove a point?
Quit.
56: what are some things you find endearing in people?
I’ve always found it nice when someone has something they’re either borderline obsessed with about or just plain obsessed with. Unless it’s something like meth. Then there’s an issue.
57: go listen to bohemian rhapsody. how did it make you feel? did you dramatically reenact the lyrics?
Bohemian Rhapsody reminds me of high school drama class, ‘cause we’d all get super pumped by that song before we had to perform.
58: who’s the wine mom and who’s the vodka aunt in your group of friends? why?
Wat.
59: what’s your favorite myth?
I don’t think I have one.
60: do you like poetry? what are some of your faves?
Not the world’s biggest poetry fan.
62: do you drink juice in the morning? which kind?
No juice for me. Though I like apple juice.
63: are you fussy about your books and music? do you keep them meticulously organized or kinda leave them be?
I’m fussier about my music being organized than my books. You should see my iTunes playlists/orders.
64: what color is the sky where you are right now?
Black. It’s night.
65: is there anyone you haven’t seen in a long time who you’d love to hang out with?
Sean!
66: what would your ideal flower crown look like?
…is this something I should be considering?
67: how do gloomy days where the sky is dark and the world is misty make you feel?
AWFUL. Like “Vancouver flashback” awful.
68: what’s winter like where you live?
Not as bad as I was expecting, but Nate keeps assuring me that these past two winters have been abnormally mild.
69: what are your favorite board games?
Scrabble. Sorry! Monopoly.
70: have you ever used a ouija board?
Once?
71: what’s your favorite kind of tea?
Green tea.
72: are you a person who needs to note everything down or else you’ll forget it?
Nope.
73: what are some of your worst habits?
Being me.
74: describe a good friend of yours without using their name or gendered pronouns.
Fizzbitch! That’s all that needs to be said.
75: tell us about your pets!
GLADLY. Annabelle is my British Shorthair and is my perpetual kitten. Jazzy is our triangle-on-face calico. She’s just a purring machine disguised as a cat, I’m pretty sure.
76: is there anything you should be doing right now but aren’t?|
Thesis stuff. Studying.
77: pink or yellow lemonade?
Water, please.
78: are you in the minion hateclub or fanclub?
Neither.
79: what’s one of the cutest things someone has ever done for you?
Nate wrote me a letter for Valentine’s Day last year.
80: what color are your bedroom walls? did you choose that color? if so, why?
Are they white? I think they’re white. I didn’t choose the color.
82: are/were you good in school?
Sure.
83: what’s some of your favorite album art?
I like the art on The Guggenheim Grotto’s first album, but that’s mostly because of the texture of the packaging.
84: are you planning on getting tattoos? which ones?
I still want a Leibniz-related tattoo. Doesn’t have to be big. Just a Leibniz-related tattoo.
85: do you read comics? what are your faves?
I don’t read comics, really.
86: do you like concept albums? which ones?
Meh.
87: what are some movies you think everyone should watch at least once in their lives?
Everyone needs to watch Sunshine. It’s a fantastic but horribly underrated movie. Just the music alone makes me want everyone to see it.
88: are there any artistic movements you particularly enjoy?|
Surrealism’s cool.
89: are you close to your parents?
Yeah. My mom, especially.
90: talk about your one of you favorite cities.
CALGARYYYYYYY! I really like it here. It’s way sunnier than any other city I’ve ever lived in, it’s big, it’s clean, I’m not terrified to walk alone at night, the mayor’s a badass, and it’s in Canada. What more do you want?
91: where do you plan on traveling this year?
Vancouver!
92: are you a person who drowns their pasta in cheese or a person who barely sprinkles a pinch?
Cheese is the best, yo.
93: what’s the hairstyle you wear the most?
Whatever the hell my dorky hairstyle is.
94: who was the last person you know to have a birthday?
My dad.
95: what are your plans for this weekend?
IT’S THE WEEKEND NOW OMFG
96: do you install your computer updates really quickly or do you procrastinate on them a lot?
I usually just wait until my compy has to do it itself.
97: myer briggs type, zodiac sign, and hogwarts house?
INTJ, Aquarius, and I’m not sure.
98: when’s the last time you went hiking? did you enjoy it?
Nate and I went on a little hike with my mom while we were in Lewiston. It was fun.
99: list some songs that resonate to your soul whenever you hear them.
Sleepyhead, O Magnum Mysterium, Doin’ It Right.
100: if you were presented with two buttons, one that allows you to go 5 years into the past, the other 5 years into the future, which one would you press? why?
The one that takes me to the past. A lot of things I could correct/make better but still end up right where I am now.
BLACK MESA: The Update
THIS FREAKING GAME IS FANTASTIC.
I’ll post more about this when I don’t feel like crap (I’ve got a really bad headache right now), but here are some of the things that are great:
- Better graphics. WAY better graphics. Like, holy crapples.
- More diverse set of scientists. It’s not just the same three guys and a gaggle of their clones.
- The scientists/security guards are hysterically snarky towards Gordon. It’s fantastic.
- While most of the game is the same, there ARE some new/different parts, which is great because I’d basically memorized the original and could go through it quite easily.
- Gordon Freeman is still very much Gordon Freeman.
WOO!
Rough
I am DONE with the first draft of my thesis introduction. Last time I did this, I thought the introduction was the hardest/most work-intensive part of the whole thing to write. So considering I’ve got all my simulations done and just need to write up the results, I’m guessing it’s the same sort of thing this time around.
So it’s nice to have that first rough draft done, even though it is just a rough draft.
Plus, I don’t think I’d made this much progress until April or so last time.
Yeah.
BLACK MESA
WHAT THE HELL IS THIS
WHY THE HELL HAD I NEVER HEARD OF THIS BEFORE?
Half Life is my favorite game, dudes. I want this.
Edit: Nate bought this for me. Nate makes bad life decisions.
Cat Tunes
I should crank a sample for Jazzy one day and see how she responds to it. It’s an interesting idea.
Also, Bacon is super cute.
Data Dump
Holy crapples, I just found the best place for big datasets from online personality tests.
Sample sizes in the ten thousands? WHAT IS THIS NONSENSE
I’m not too concerned about the accuracy, really; it’s data that would be useful for my weekly stats examples. And just screwing around with R.
‘Cause I like that.
Anyway.
Week 4: The Single-Sample Test for Evaluating Population Skewness
Last week we did a test for population variance, which represents the second moment about the mean. Today we’re going to go one moment further and do a single-sample test to evaluate population skewness (which represents the third moment about the mean)!
When Would You Use It?
The test of population skewness test is a parametric test used in a single sample situation to determine if a sample originates from a population that is symmetrical (that is, not skewed).
What Type of Data?
The test for skewness requires interval or ratio data.
Test Assumptions
None listed.
Test Process
Step 1: Formulate the null and alternative hypotheses. The null hypothesis claims that the skewness parameter γ in the population is equal to 0, which corresponds to symmetry; the alternative hypothesis claims otherwise (the population skewness parameter is greater than, less than, or not equal to the value specified in the null hypothesis, suggesting there is some skew).
Step 2: Compute the test statistic value, a z-score. The test statistic requires several calculations to be obtained. The calculations are as follows:
Step 3: Obtain the p-value associated with the calculated chi-square. The p-value indicates the probability of observing a skew as extreme or more extreme than the observed sample skew, under the assumption that the null hypothesis is true.
Step 4: Determine the conclusion. If the p-value is larger than the prespecified α-level, fail to reject the null hypothesis (that is, retain the claim that there is symmetry (no skew) in the population). If the p-value is smaller than the prespecified α-level, reject the null hypothesis in favor of the alternative.
Example
As in the last test, the data for this example come from my n = 365 song downloads from 2010. I want to create a hypothesis test regarding the skew of the distribution of song lengths (in seconds). Based on the following histogram, I’m going to say that this distribution has a right skew.
Thus,
H0: γ = 0
Ha: γ > 0
Set α = 0.05.
Computations:
Since our p-value is basically zero, it is smaller than our alpha-level, and we reject H0 and claim that the population is indeed positively skewed (γ > 0)
Example in R
dat = read.table('clipboard',header=T) #'dat' is the name of the imported raw data
hist(dat) #creates histogram of data
n = 365
m3 =(n*sum((dat-mean(dat))^3))/((n-1)*(n-2))
s3 = sqrt((sum(dat^2)-(((sum(dat))^2)/n))/(n-1))
g1 = m3/(s3)^3
b1 = ((n-2)*g1)/(sqrt(n*(n-1)))
A = b1*sqrt(((n+1)*(n+3))/(6*(n-2)))
B = (3*((n^2)+(27*n)-70)*(n+1)*(n+3))/((n-2)*(n+5)*(n+7)*(n+9))
C = sqrt(2*(B-1))-1
D = sqrt(C)
E = 1/sqrt((log(D)))
F = A/(sqrt(2/(C-1)))
z = E*log(F+sqrt((F^2)+1)) #test statistic
pval = (1-pnorm(z)) #p-value
Do you really expect me to come up with a witty title for every single one of these? I CAN BARELY COME UP WITH ACTUAL CONTENT FOR EVERY SINGLE ONE OF THESE SO SHUT YOUR UNGRATEFUL MOUTH NO WAIT DON’T GO WHERE ARE YOU GOING PLEASE DON’T LEAVE–
What was the last movie you watched?
Uhhhhhh…what was the last movie I watched?
What was the last song you listened to?
Jenny by the Studio Killers
What was the last show you watched?
Broadchurch. WAIT THAT’S A LIE, I watched a Steven Universe episode the other night.
What was the last book you read?
The last one I finished was The Scarlet Pimpernel. Currently re-reading Lord of the Flies (since I last read it in 8th grade and didn’t really appreciate it then).
What was the last thing you ate?
Broccoli and pasta.
If you could be anywhere else right now, where would you be?
I’m happy where I am right now, but if I had to pick, I’d pick Hanover. Because reasons.
If you could pick a decade to travel back in time, what would it be?
1690s! Because reasons.
If you won the lotto and millions in cash what would be the first thing you would do?
Put most of it in something that would gain a lot of interest. Then go to Hanover. Because reasons.
Which fictional character would you like to hang out with for a day?
Jay Gatsby.
What was the last fandom you joined?
Probably the Steven Universe fandom. I saw a lot posted about the show on Tumblr and finally decided to check it out awhile back. It’s an awesome show; go check it out!
It Begins!
Okay, so unlike Thesis: Round I in 2011, I’ve actually started my thesis writing now—in January—versus in March. Which is probably a good thing. I also feel like I understand what I’m actually doing WAAAAAAAAAAAAAAY better than I did back then.
I also care a lot more.
So yeah. Hopefully things will go a lot smoother than they did last time, but I guess we’ll see.
WOO!
Holy Freaking Crap
I don’t know if it’s because it’s 4 in the morning or what, but this is beyond hysterical.
Edit: It’s 3 PM the next day and this is still the best thing ever.
Week 3: The Single-Sample Chi-Square Test for a Population Variance
Today we’re going to move away from testing for means and do the single-sample chi-square test for a population variance!
When Would You Use It?
The chi-square test is a parametric test used in a single sample situation to determine if a sample originates from a population with a specific variance σ2.
What Type of Data?
The chi-square test for variance requires interval or ratio data.
Test Assumptions
- The sample is a simple random sample from the population of interest.
- The distribution underlying the data is normal.
Test Process
Step 1: Formulate the null and alternative hypotheses. The null hypothesis claims that the variance in the population is equal to a specific value; the alternative hypothesis claims otherwise (the population variance is greater than, less than, or not equal to the value specified in the null hypothesis.
Step 2: Compute the chi-square value. The chi-square value is computed as follows:
Step 3: Obtain the p-value associated with the calculated chi-square. The p-value indicates the probability of observing a sample variance as extreme or more extreme than the observed sample variance, under the assumption that the null hypothesis is true.
Step 4: Determine the conclusion. If the p-value is larger than the prespecified α-level, fail to reject the null hypothesis (that is, retain the claim that the variance in the population is equal to the value specified in the null hypothesis). If the p-value is smaller than the prespecified α-level, reject the null hypothesis in favor of the alternative.
Example
The data for this example come from my n = 365 song downloads from 2010. I want to create a hypothesis test regarding the variance of the song lengths (in seconds). I have no idea what the variance is, but I’m going to say that I suspect the variance to be (120)2, or two minutes squared. Set α = 0.05
H0: σ2 = 14,400 seconds
Ha: σ2 ≠ 14,440 seconds
The sample variance is calculated to be 12182.44.
Computations:
Since our p-value is smaller than our alpha-level, we reject H0 and claim that the population variance is greater than (120)2 seconds.
Example in R
dat=read.table('clipboard',header=T) #'dat' is the name of the imported raw data
sigma = 120^2
s = var(dat)
n = 365
chisq = ((n-1)*s)/(sigma) #chi-square value
pval = (pchisq(chisq, n-1))*2 #p-value
#n-1 is the degrees of freedom
Sinuous Ocelot
So back when we were in Moscow, Nate and I visited Hastings and came across a book entitled Becoming a Supple Leopard. We weren’t quite sure what a Supple Leopard was (though I’m assuming it deserves to be capitalized), but it kind of became a little joke with us. I’d call Nate a Supple Leopard, one of us would do something and the other would say, “that’s something a Supple Leopard would do”…that kind of thing.
Anyway, tonight we decided to finally look up the book on Amazon to see if any of the reviews actually explained the “Supple Leopard” thing. But we found something better. We found this review:
Have you ever wondered what it would feel like to be as agile as the ninjas you see so often on TV? Oh, you’ve never seen a ninja?! There’s a good reason for that – they are NINJAS.
Ninjas are fast and graceful, and you always see them doing crazy things with their body that involves wicked flexibility. Where does all that flexibility come from? How do you think they recover after being beaten down by Bruce Lee, Chuck Norris, Jet Li or Jackie Chan? By reading this book, targeting their goats, smashing their psoas, freeing their matted down tissues and working out other downstream issues they become more agile and deadly than ever and recover far faster from deadly one-inch punches to the face.
Last thing to mention, is that ninjas are never in anything like a pain cave. They brave out their training and all their fights to the death. The pain cave or a pain “face” means nothing to them. Except for above mentioned deadly one-inch punch to the face. But then they’re dead.
Basically, become a leopard, become a ninja, become anything extreme and more awesome (I scribbled “Snow” above Leopard, because my spirit animal is a Snow Leopard).
Enjoy this book. But don’t. Because if you do the exercises, it will hurt. In a good way. Like if your favourite movie star crush strapped you down and ripped your pants off. But then again, you’re now a ninja – so that will never happen.
The reviewer’s username is, appropriately, “Deadly Ninja” and this is the only thing they’ve reviewed.
I love the immediate contradiction of “Oh, you’ve never seen a ninja?! There’s a good reason for that – they are NINJAS” and “Ninjas are fast and graceful, and you always see them doing crazy things with their body that involves wicked flexibility.”
How can I see them if they’re ninjas, Deadly Ninja?
HOW CAN I SEE THEM?!?!
Genghis Kahn
I love this.
SSSSSSSSSSSSSSSSSSSSSucks to be you, you have to read a survey!
What time is it?
2:14 AM
Quick. What’s the first green thing you see?
My scissors.
Do you like those Sudoku puzzles?
I haven’t done one in a long time, but they’re not too bad. My mom’s addicted to them, though, haha.
Do you own a plaid shirt?
It’s sort of plaid, yeah.
What’s your favorite kind of pie?
Not a huge pie fan, but I suppose apple is my fave.
Have you read a book today?
Not today, no.
Do you like going to museums?
Sure. Art museums especially.
Have you ever been to Washington D.C.? Or your nation’s capital?
I’ve been to D.C., but I haven’t been to Ottawa.
Have you ever been to the state of Washington?
Indeed. Many times.
Do you like apple juice?
Yup. It’s pretty much the only juice I like.
How cold is it outside?
Decently cold. It’s been cold ever since we got back.
Have you ever taken a course in Chemistry?
Once, in high school. But for some reason they put me in the class that was full of the hooligans of the school, so my teacher didn’t really get to teach so much as just yell at people for being disruptive. She liked me, though, ‘cause I was quiet and actually did my work.
Do you like to draw?
Yes. Too bad I suck at it.
What do you put on your french fries?
Salt. Probably too much salt. I care not, though, ‘cause I don’t have French fries very often.
Do you like everything to match?
I make my clothes match…in my own weird way.
Do you like mustard?
Ew, no.
Would you ever work at a movie theater?
Not if I didn’t have to.
Do you have a phone charger in your car?
No.
Have you ever slept through an alarm?
Hahaha, yes.
Do you like to hold hands?
I do indeed.
Do you want a tattoo?
Leibniz tattoo!
When is the last time you ordered from a catalog?
I’ve never personally ordered anything from a catalog.
Do you know anyone who has a collection of old records?
Nope.
What’s the name of the gas station you last stopped at?
No idea. That one on the corner by our place, but I can’t remember the name.
What was the first song you heard today?
Work this Body by WALK THE MOON.
Have you ever gotten a magazine subscription as a gift?
Yeah. My mom got me a subscription to Mental Floss when I was in high school.
What was the last video you watched on YouTube?
A compilation of Zachary Pionia vines.
Have you ever sacrificed something for someone you love?
Nothing big. But I would!
Have you ever had your picture in the newspaper?
Yeah. I was on the front page of the Moscow-Pullman Daily News when I was in 4th grade.
Vine Dump
I’m sorry, I love Vine. Take my hatred for Twitter and translate it into love. That’s how much I love Vine.
So have some Vines.
Edit: here are some more!
Eigenblogger 