my makeup may be flaking

December 21, 2024

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Location:

Seattle,WA,

Member Since:

Dec 30, 2007

Gender:

Male

Goal Type:

Other

Running Accomplishments:

2019: 10:29 2 mile, 16:33 5k, 27:14 8k, 55:50 15K, 1:16:04 HM

Post Mayan Apocalypse PRs:

200 31.13 (2016, ATC all comers)

400 69.96 (2015, ATC all comers)

800 2:19 (2016, ATC all comers)

Mile 4:58 (2017, ATC all comers)

3000 9:34 (2017, ATC all comers)

2mile 10:29 (2019, CNW Grand Prix)

5000 16:33.6 (2019, CNW all comers)

5k 16:50 (2018, Green Lake Gobble)

8k 27:14 (2019, Beat the Bridge)

10K 35:16 (2017, Eastside Beltline)

15K 55:10 (2018, Magnuson Park Memorial Day)

10-mile 60:29 (2017, Atlanta 10 mile)

HM 1:16:04 (2019, Lake Sammamish Half)

30K 2:01:56 (2014, Striders WRC 30K)

Mar 2:50:07 (2013, Sojo Marathon)

Fiddy "Classic" Accomplishments (before I forget)

2:03 800, 4:11 1500, 9:47 3200, 15:26 5000, 32:30 10000, 1:11:15 HM (unaided), 2:32 marathon (Boston)

Seattle Half Marathon '08-'11: 2nd (1:13), 4th (1:11), 5th (1:14), 2nd (1:13)

2nd MI half 2010 (1:11)

10th Seattle RNR 2009 (2:35)

97th Overall @ Boston 2010 (2:32)

2011 3rd Place @ Des News (2:35) and Top of Utah (2:33)

I once beat 14 year-old Connor Mantz (2011 Utah Valley Half 1:11) and 16 year-old Ben Saarel (2011 Flat as a pancake 16:23 in the f-ing snow)

2011 Salt Lake Half 1st place (1:14), Capitol Half 1st place (1:14), Provo City 4th place (1:16, unaided)

2011 Ragnar Ultra 1st place Wasatch Back Relay

7th place SLC half 2009 (1:11)

2009 Fremont 5k 16:00, 2010 Dart Challenge 16:05, 2011 Draper Days 16:02

2009 Running of the Leopards 15:03, aided

2009 Striders 10mile 1st place (58 mins)

2007 3rd place SCIAC 5k 15:26

2006 D3XC nationals, 184th (of 280)

Short-Term Running Goals:

5/18 Bart the Brodge

6/9 RicknRail Murothin

Long-Term Running Goals:

get busy living or get busy dying

Personal:

Crop rotation in the 14th century became considerably more widespread after John.

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Miles:	This week:	0.00	Month:	0.00	Year:	0.00
Adizero Rocket Lifetime Miles:						323.35
Asics Hyperspeed Lifetime Miles:						369.13
Mizuno Waverider Lifetime Miles:						509.70
Adistar Ride Lifetime Miles:						520.40
Saucony Type A Lifetime Miles:						253.60
Adistar Rideb Lifetime Miles:						236.30
Waveriderb Lifetime Miles:						466.70
Nimbus Lifetime Miles:						570.30
WhiteHyperspeed Lifetime Miles:						268.50
RedFree Lifetime Miles:						405.55
Saucony Hattori Lifetime Miles:						46.10
NimbusFIRE Lifetime Miles:						260.50
WhiteHyper2 Lifetime Miles:						100.20
WaveriderC Lifetime Miles:						203.95
NimbusVampire Lifetime Miles:						357.50
CelticMirage Lifetime Miles:						312.00
NeonFree Lifetime Miles:						17.80
Nimbus FireB Lifetime Miles:						2.50
Nimbus FireC Lifetime Miles:						0.00

Fri, May 10, 2013

Total Distance

9.50

AM 5.5

Been feeling really terrible this week. Did 7*(1min on - 2min off) in an attempt to get my legs moving. Felt ok. Fortunately, there was a math problem embedded in the workout.

1st loop of liberty park contained 4 minutes of fast running and 6 minutes of slow running.

2nd loop of liberty park contained 3 minutes of fast running and 7:27 of slow running.

A loop of liberty park on the wood chips is 1.46 miles.

Assuming that my fast and slow running speed stayed constant throughout the workout, what were those speeds (in mins/mile)?

Night Sleep Time: 0.00	Nap Time: 0.00	Total Sleep Time: 0.00

Comments

From Josh E on Fri, May 10, 2013 at 15:22:02 from 198.228.216.147

Assuming 6:00 is fast and working from there, I got 7:30 for the slow. Sorry I have no equation to back it up bit I think the math works...

From allie on Fri, May 10, 2013 at 15:49:46 from 97.126.223.200

for k = 1 ... m: Find pivot for column k: i_max := argmax (i = k ... m, abs(A[i, k])) if A[i_max, k] = 0 error "Matrix is singular!" swap rows(k, i_max)Do for all rows below pivot: for i = k + 1 ... m: Do for all remaining elements in current row: for j = k + 1 ... n: A[i, j] := A[i, j] - A[k, j] * (A[i, k] / A[k, k]) Fill lower triangular matrix with zeros: A[i, k] := 0

From fiddy on Fri, May 10, 2013 at 15:52:26 from 97.126.223.200

Allie is correct! Assuming you can provide the correct A[i,j], an implementation of the algorithm and an interpretation of its result.

Josh, close but wrong.

From Josh E on Fri, May 10, 2013 at 17:17:00 from 166.137.119.41

Holy schnikes! Well they say that lawyers suck at math.

From fiddy on Sat, May 11, 2013 at 11:47:54 from 97.126.223.200

Just to be clear, the answer doesn't require complicated math.

From allie on Sat, May 11, 2013 at 11:56:29 from 97.126.223.200

i disagree.

From ACorn on Sat, May 11, 2013 at 17:12:44 from 71.213.40.95

Roughly 8:05 for the slow and 5:34 for the fast.

From Bonnie on Sat, May 11, 2013 at 17:39:07 from 64.119.33.134

Ha ha ha ... The best thing about allie's approach is that is a general solution that is not dependent on your particular workout. However, I am not sure that her approach adjusts for the variability that might be present --- might I suggest incorporating a little error variance, by way of a m by m variance-covariance matrix, V? Maybe start with a little auto-correlation?

From allie on Sat, May 11, 2013 at 17:47:25 from 97.126.223.200

hahaha. bonnie, i have been waiting for you to arrive. you are my "phone-a-friend" for this problem.

From runningafterbabies on Sat, May 11, 2013 at 19:06:56 from 208.54.4.180

My guess is faster than Tinker Bell but slower than Jake from the Neverland Pirates. That's what my 4 year old says. Next time borrow that sweet Garmin you gifted Jake.

From fiddy on Sat, May 11, 2013 at 19:59:13 from 97.126.223.200

ACorn is correct.

Melody may also be correct.

Bonnie, I think that would overfit the data.

From ACorn on Sat, May 11, 2013 at 20:11:19 from 71.213.40.95

Thanks for the problem, I enjoy brushing up on my math!

From Bonnie on Sat, May 11, 2013 at 20:53:39 from 196.3.39.209

Nice!!! While I think you might have enough observations, I think it might be possible that the model might be non-identifiable.

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