Origin

Welcome to my blog! This site is built with my own custom site generator, so I thought I'd use this first post to describe how it works.

There are three GitHub repos for this blog. It could potentially be condensed into a single repo but it felt cleaner to split it up into its logical parts.

1. The Github Pages repository
2. The Blog Reel
3. The Site Generator

The Github Pages repository

This is what you're seeing - it's the repo that contains the website tree. Github Pages now supports HTTPS with custom domains too! 🎉

The Blog Reel

This is a flat repo of markdown files with the individual posts. They're named in a way that forces both alphabetical and chronological order - for example, this file is named 00001-origin.md. There's also a folder called assets, which willhold what it says one day soon.

The markdown files actaully start with a bit of HTTP-esque metadata for things like url, title, tags, publish date, etc. Most of this is really only needed to keep the Atom feed happy.

Then there's an empty line, and then the markdown starts.

The Site Generator

The site generator repo contains scripts to build the site from the blog reel. It pulls the blog reel down, feeds it through about 300 lines of Python and generates the full HTML tree for the blog.

The markdown to HTML conversion happens in a single line. The rest of the Python code is a combination of extracting data from the raw posts and using a poor-man's HTML templating system ~definitely not just find-and-replacing pre-defined symbols~ to generate the home page, the Atom feed, and all the blog post pages, with sequential links.

The full HTML tree is then copied into the Github Pages repo, committed and pushed.

And that's it!

The English alphabet is a singly-linked list

It occurred to me the other day that one of the most common uses of a singly-linked list is the English alphabet.

At least, I've never memorised it backwards. Even if I did, I suppose I'd only have two singly-linked lists without more practice anyway.

"Force field"

In science fiction, the term "force field" is wonderfully self-descriptive.

It's a field of force that fields force.

Magic Carpet Rag

A few weeks ago I finished writing my second piano ragtime!

It's called Magic Carpet Rag.

Check it out, if you're into that sort of thing. Hope you enjoy it!

Reading the writing on the wall

I've been playing a lot of Go recently, and catching up on the progress of Go AIs since AlphaGo beat Lee Sedol 4-1 in March 2016. That "1" was probably the last game a human will ever win against top Go AIs.

In the last few years, humans have been learning from robots. New shapes and strategies have been discovered and some very old strategies have made a comeback. Some Go AIs are able to provide move-by-move "win percentages" which are enormously helpful for evaluating moves in game reviews. There are caveats though - there is a duality to learning and teaching, and AIs are taught how to play Go, not how to teach it.

Normally (in the sense of "norms" vs. "rules") it is polite to resign a game when it has become clear you cannot win.

But the thing is: how do you know?

A stronger player will generally know before a weaker player, and a robot will likely "know" well before most humans. Even players of the same strength may have different opinions depending on their skill in different aspects of the game. Which means in many games there is a time when one player knows the game is over, but the other player hasn't realised yet and continues playing.

This reminded me of a quote from Iain M. Banks' The Player of Games. At this point in the story, Gurgeh - the main character - is many days into an immensely large and difficult game of strategy with the (other) greatest game player in the galaxy, Emperor Nicosar. After weeks of play:

It goes on until it ends, Gurgeh thought to himself one day, and at the same time as the banality of the thought struck him, he saw that it was over. The climax had been reached. It was done, destroyed, could be no more. It was not finished, but it was over. A terrible sadness swamped him, took hold of him like a piece and made him sway and nearly fall, so that he had to walk to his seat and pull himself on to it like an old man.

'Oh...' he heard himself say.

He looked at Nicosar, but the emperor hadn't seen it yet.

...

Gurgeh couldn't believe it. The game was over; couldn't anybody see that? He looked despairingly around the faces of the officials, the spectators, the observers and Adjudicators. What was wrong with them all? He looked back at the board, hoping desperately that he might have missed something, made some mistake that meant there was still something Nicosar could do, that the perfect dance might last a little longer. He could see nothing. It was done.

The writing is on the wall whether you can read it or not.

So open-minded that our brains fall out

I've been thinking about this a lot lately, and finally tracked down the original source:

Let us keep our minds open, by all means, as long as that means keeping our sense of perspective and seeking an understanding of the forces which mould the world. But don’t keep your minds so open that your brains fall out! There are still things in this world which are true and things which are false; acts which are right and acts which are wrong, even if there are statesmen who hide their designs under the cloak of high-sounding phrases.

— Walter Kotschnig, November 8, 1939

Coincidentally, I'm part way through Factfulness, by Hans Rosling.

In His Image

I finished The Talos Principle the other day. I offer no spoilers. The whole game was an incredible experience and I highly recommend it if you enjoy puzzle games and philosophy.

Since the opening few levels, I've been dancing with the difficult questions it asks about humanity. Many of these questions weave beautifully with Yuval Noah Harari's philosophy of stories: how stories are a defining characteristic of our species, and how the stories we tell shape our view of reality.

I don't know the Bible very well, but I know some of the more popular lines and verses. One of them (which I've since learned comes from Genesis 1:27) is:

God created man in His own image.

Combined with my thougths about The Talos Principle, I suddenly realised that this line contains an enormous, almost meta, irony.

For what is the Bible, but man creating God in his own image?

Could the sun be invisible?

I went down a rabbit hole recently, pondering the question:

Assuming a species has evolved eyes, could they evolve in such a way that the sun is invisible?

There are a few more assumptions needed here, like the sun being the primary source of heat/energy for the celestial body that the species is evolving on, etc. Let's just say it's a species evolving on Earth.

Below is a graph[1] of our sun's radiation spectrum:

We can see that the visible part of the spectrum aligns with the peak area of the specturm. In fact the source[1] actually has a short snippet about this:

Predators would not be able to efficiently hunt prey without light from the sun and prey would not be able to take advantage of dark areas if predators were adapted to dark habitats. Human eyes are adapted to the visible spectrum, though some other species can see ultraviolet light in addition to colors.

Tangent: Why isn't the sky purple?

Contrary to popular belief, the sky is not blue because of the ozone in the stratosphere. The sky appears blue due to the scattering of all wavelengths of light by all gases in the atmosphere. This is known as diffuse sky radiation. I'll let let Wikipedia explain:

The dominant radiative scattering processes in the atmosphere are Rayleigh scattering and Mie scattering; they are elastic, meaning that a photon of light can be deviated from its path without being absorbed and without changing wavelength.

Earth's atmosphere scatters short-wavelength light more efficiently than that of longer wavelengths. Because its wavelengths are shorter, blue light is more strongly scattered than the longer-wavelength lights, red or green. Hence, the result that when looking at the sky away from the direct incident sunlight, the human eye perceives the sky to be blue.

So if short-wavelength light is scattered more efficiently, and the shortest wavelength the human eye can perceive is violet, not blue, why isn't the sky violet? (Naturally, there's an xkcd for this.)

It turns out the sky isn't violet because of the way our eyes have evolved[2]:

We have three types of colour receptors, or cones, in our retina. They are called red, blue and green because they respond most strongly to light at those wavelengths. As they are stimulated in different proportions, our visual system constructs the colours we see.

When we look up at the sky, the red cones respond to the small amount of scattered red light, but also less strongly to orange and yellow wavelengths. The green cones respond to yellow and the more strongly scattered green and green-blue wavelengths. The blue cones are stimulated by colours near blue wavelengths, which are very strongly scattered. If there were no indigo and violet in the spectrum, the sky would appear blue with a slight green tinge. But the most strongly scattered indigo and violet wavelengths stimulate the red cones slightly as well as the blue, which is why these colours appear blue with an added red tinge. The net effect is that the red and green cones are stimulated about equally by the light from the sky, while the blue is stimulated more strongly. This combination accounts for the pale sky blue colour.

It may not be a coincidence that our vision is adjusted to see the sky as a pure hue. We have evolved to fit in with our environment; and the ability to separate natural colours most clearly is probably a survival advantage.

Return

Now we return to the original question: could eyes evolve in such a way that the sun is invisible?

Among species with eyes, it seems reasonable to assume that those who see more wavelengths of light probably have a survival advantage over those who see fewer. Imagine if we could only see colours at the red end of the visible spectrum - we'd be missing out on a lot of the world. But what if we were missing out on the whole world of colour? What if our eyes - those rods and cones - evolved differently?

And now we have to stop, because if eyes cannot see any wavelengths emitted by the sun, can we still call them eyes?

I think the answer is no. And therefore my original question is poorly formed.

We understand "eyes" and "vision" specifically in relation to the visible spectrum of a sun or light source. We actually have another sense that can detect the infrared radiation from the sun (touch) - it tells our body how warm it is. We don't descibe that as 'vision', and we don't think of it as 'seeing' heat.

So I've basically nerd sniped myself. The sun can't be invisible for any species with sight, because our definitions of "eyes" and "sight" directly depend on that source of light.

Seems I need a more robust mental model for thinking about the senses.

Sources

[1] Fondriest Environmental, Inc. “Solar Radiation and Photosynethically Active Radiation.” Fundamentals of Environmental Measurements. 21 Mar. 2014. Web. < https://www.fondriest.com/environmental-measurements/parameters/weather/solar-radiation/ >.

[2] Philip Gibbs “Why is the sky blue?” UC Riverside. May 1997. Web. < https://math.ucr.edu/home/baez/physics/General/BlueSky/blue_sky.html >

(No, I don't remember how to do references properly, but I think that covers everything.)

La Nuit de Noël

I thought it would be fun to start composing pieces in the style of composers, artists and genres that I enjoy.

The motivation for this is both education and laziness:

• Education because I'll learn a lot about the music I'm imitating
• Laziness because it means I don't have to expend quite as much creative energy to come up wiht something wholly original.

It's really just another form of Constrained Writing. With an idea to start simple in my imitation, I picked Erik Satie's three Gymnopédies.

The result is a piece that, to me, seems to fit a quiet, snowy night in the cramped, cobblestoned streets of somewhere like Victorian England.

I think it's slightly too diatonic or consonant compared to Satie's Gymnopédies, but I really liked the whimsical and satisfying conclusion. Particularly at this time of year.

So I present La Nuit de Noël, an offering of muted festivity.

Merry Christmas 🎄

(Sheet music)

Make it so good that it ruins everything else for you

That's the post.

You can apply it to individual parts, or the whole of any creative work you produce.

It's not productive or sustainable advice for everything, but people will notice.

The Maths of a Vitamin B6 Overdose

Setting the scene

This year I've spent 8 months looking for answers to some bizarre, elusive and unnerving physical symptoms.

The first diagnosis was stress and anxiety — which was quite true — but that couldn't explain (among other symptoms) why each morning I couldn't feel where my hands were. It's not just that they were numb — or on fire, depending on the morning — my proprioception was completely busted.

After months of blood tests, therapy, heart tests, Parkinsons tests, neuro-physiotherapy, nerve conduction studies and MRIs, I was sitting in a hotel room after a work on-site when I recieved an email from my mum.

By sheer coincidence, someone in her office had sent her this update from the TGA, which she passed on to me because the description of the peripheral neuropathy symptoms matched many of the symptoms I'd been experiencing.

Adverse event reports submitted to the TGA suggest there is a lack of awareness that vitamin B6, which is present in many multivitamin and mineral supplements, can cause peripheral neuropathy. In response, the TGA has strengthened labelling requirements so products containing daily doses over 10mg of vitamin B6 must carry a warning about peripheral neuropathy.

After a bit of Googling I found the Wikipedia page for Megavitamin-B6 Syndrome, and sat very still (difficult when your fingers twitch uncontrollably) mentally ticking off every single symptom listed.

But I've never taken Vitamin B6 supplements.

Or at least, I thought I hadn't.

After a quick rummage in my luggage, I discovered the Magnesium supplement I'd been taking every day since March also contained a 41.1mg dose of Pyridoxine hydrochloride (i.e. Vitamin B6). The recommended daily dietary intake of Vitamin B6 for someone my age is about 1.1mg.

I'd been poisoning myself with a supplement I didn't even know contained B6 because I didn't read the fine print.

Thanks Blackmore's.

So naturally I stopped taking the Magnesium immediately. From the Wikipedia page, the half-life of B6 in the body is 33 days. And there's this delighful footnote:

In the immediate 2–6 weeks following discontinuation of vitamin B6, patients may experience a symptom progression before gradual improvement begins. This is known as coasting and is encountered in other toxic neuropathies.

As I write this, it's Day 36, and my symptoms did indeed progress for a while, but have started to ease noticeably. They're not completely gone though, and won't be for a few more months.

Math overdose

Half-life is not elimination, so I thought I'd do some quick maths to figure out:

• How much Vitamin B6 I had in my body the day I stopped taking the Magnesium
• How much Vitamin B6 I should have had in my body that day
• How much Vitamin B6 I had in my body on Day 33 (one half-life later)

Assumptions:

• Every day I don't take a supplement, I'm ingesting the RDI of 1.1mg Vitamin B6.
• Every day I do take the supplement, I'm ingesting the RDI plus 41.1mg from the Magnesium tablet (42.2mg in total).
• I had a negligible amount of Vitamin B6 in my body on March 1 (close enough).
• The half-life of B6 in the body is 25-33 days. Let's assume a worst-case 33 days.

Facts:

• I started the Magnesium supplements on March 2
• I stopped taking them on October 10 (222 days later)
• A compound's half-life is the time it takes for half the mass of the compound to be eliminated from the system

Working:

The half-life equation is a decreasing exponentional:

As each daily dose of B6 is the same (42.2mg), we can use the following summation to find out how much is in my body on the day I dicovered I had been poisoning myself. The summation is "counting backwards" from the previous day's dose:

The result of this summation is approximately 1970mg or 1.97 grams.

The amount of B6 I should have had in my body is the same summation, but with a healthy daily dose of 1.1mg:

The result is approximately 51mg, and is a good approximation for the healthy steady-state level, given the small numbers involved.

So I was walking around with about 38x the recommended healthy amount of Vitamin B6 in my body.

After 33 days of no supplementation, we can determine the amount of B6 left in my body with this summation:

Which is approximately 1010mg. Just over 1g. That's still 20x what I should have floating around.

• After another 33 days: 531mg (10x)
• After another 33 days: 292mg (5.7x)
• After another 33 days: 172mg (3x)
• After another 33 days: 112mg (2.2x)
• After another 33 days: 82mg (1.6x)
• After another 33 days: 69mg (1.4x)

The exponential decline means it will be a long time before I actually get back to the 51mg mark exactly, but it's safe to assume after 6 months I'll be back under 100mg, which is well and truly safe.

Final note

Not all Magnesium supplements have Vitamin B6 in them, I just got unlucky. But I've sworn off all supplements for at least 6 months anyway. My occasional multivitamin was also providing a bit of a bump (~3mg), and while the Vitamin D capsules are pure, I'm putting them on hold for a bit too.

Best news ever

A whole year later:

Down from 784 nmol/L on January 27, 2023.

Which means the elimination half-life was about 20 days, not 33 days.

Which means on October 10, 2022 — the day I stopped taking the magnesium — my test would have been roughly 33,645 nmol/L, or ~300x the healthy limit.

It's nice to be normal again.

Ranna's Lullaby

I finally got back to a piece I started on April 19 last year.

"Ranna, the Sleepbringer" is a character from the Old Kingdom series by Garth Nix.

The first book, Sabriel, recently celebrated its 25th anniversary.

I liked the piece so much that I asked professional Australian pianist and Twitch streamer Lara de Wit to play it.

🎼 Sheet music

First attempt at orchestral composing

Sam and I are composing an orchestral piece. The result so far sounds a bit like a mash of superhero movie and military observance.

A few thoughts:

• Phrases of 7 bars are tricky
• Samples sound clunky for whole sections, and even clunkier for solos
• French Horns are way quieter than I expected
• You can soften or harden a soloist's instrument by doubling with other instruments doubling with other instruments
• That sort of means it's not a solo anymore though

🔊 Audio v0.1

Super Mario Bros. Medley

Years ago, I came across Sonya Belousova's incredible arrangement of the Super Mario Bros. themes.

Back then, I remember thinking "I wish I could play that well". And I still can't, but I'm getting closer, so I spent some time transcribing the arrangement.

• Part 1: Overworld Theme (WIP)
• Part 2: Underworld Theme (Musescore)
• Part 3: Underwater Theme (Musescore)
• Part 4: Flagpole Fanfare (Musescore)

And by "some time" I mean "way too much time". But it's been fun. And now I get to learn them!

The Overworld Theme is the hardest, I'm about 30% done (6 Aug 2023), but I'll probably be a bit short on time in the next few months so I thought I'd upload the other three before I've finished the full set.

I'm really, really happy with how they came out.

Brewster-Jones' compositions for Edith Piper

At school, my piano teacher gave me an old Australian piece by Hooper Brewster-Jones called 'Desolation'. I didn't really understand it at the time, but I could play it well enough to pass an exam.

Back in April this year, I went looking for some other Brewster-Jones pieces to learn, and I found a lot in the Special Collections of the Adelaide University library.

And it turns out, a "Miss Edith Piper" was a student of his! He wrote at least 3 pieces for her.

Also two notes in Series 8.

And it looks like they performed together: “Pastoral Concerto for 2 Pianos - Edith Piper and H. Brewster-Jones”.

I also found some newspaper appearances:

• 28 July, 1923
• 10 April, 1925
• 11 April, 1925 (same article)
• 16 October, 1926

After some family confirmation, not only do several people remember her well, they also remember she worked with Hooper Brewster-Jones! I wonder if my piano teacher ever knew the connection.

So naturally I requested the manuscripts from the library, and transcribed them:

• Prelude (Musescore)
• Portrait Waltz (Musescore)

There are some other transcriptions I might get around to, but these are the main ones. And they really, really need a human performance to do them justice.

Pikachu

Christmas Carols

I recently spent some time digitally copying out Christmas Carols from my grandparents' oldChristmas Carol piano books. The (mostly) 4-part harmonies are wonderful.

• Away in a Manger (Musescore)
• Deck the Halls (Musescore)
• Good King Wenceslas (Musescore)
• Hark! The Herald Angels Sing (Musescore)
• Jingle Bells (Musescore)
• O Christmas Tree (Musescore)
• O Come, All Ye Faithful (Musescore)
• Silent Night (Musescore)
• The First Noël (Musescore)
• The Twelve Days of Christmas (Musescore)
• We Three Kings of Orient Are (Musescore)

By the way, my favourite Christmas Carol is "Silver Bells".

Bob-omb Battlefield

Many years ago now, I arranged a ragtime-esque version of the Super Mario 64 Main Theme, Bob-omb Battlefield.

After a long time collecting undeserved dust, I thought I'd actually release it.

• Bob-omb Battlefield (Musescore)

At the time of writing there's something broken in MuseScore's playback. I'll fix that whenever they do.

Vignette I: Autumn Walk

I think I have a new format.

• Vignette I: Autumn Walk (Musescore)

Well, had a new format. I started this one in 2023.

Dear Apple,

I don't like complaining. Let alone starting a new year with a complaint. But I've been sitting on this for a while, and New Year's Day is apparently the first block of free time I've had to write about it.

Making things is hard. Collaborative software development is hard. I get it. I've mostly ignored UX and bugs over the years because the benefit I get from running a primarily Apple ecosystem at home is so much greater than the pain of any one app. But I'm consistently frustrated now: the iOS Music app's UX is buggered.

It starts with a simple question: How do I search my music library for a purchased song?

I feel like this should be easy. I kind of expect it to be easy given how much money I've paid you for music over the years. It used to be easy.

Alas.

Step 0: Disable Apple Music

In Settings, I have disabled the "Show Apple Music" toggle. I have also enabled the "Show All Purchases" toggle. These settings have been like this for years.

Step 1: Open the Music app

Step 2: Tap the Search bubble

I've finally gotten used to the search bubble being in the bottom-right.

Tapping Search sure does a lot of things other than bring up a search box, hey.

Step 3: Huh.

I thought I disabled Apple Music.

What am I searching here?

What is Apple Music Live?

What happens if I tap on any one of those selections?

Actually, I'm curious: let's see what happens.

I get sent to a Store-like page containing dozens of links to songs that I can't play. Tapping any of the greyed-out links pops a modal asking me... to pay for Apple Music.

Step 4: So where the hell is my library search?

Oh! I have to tap the search box (again), providing an intent to search Apple Music first.

I really thought I disabled Apple Music.

Now that I'm searching Apple Music I can see there is a tab to search my Library instead.

I'm sure tapping "Library" will save that selection for next time. After all, I've disabled Apple Music. 👀

(To elaborate: it does, but not between app launches, which is a shame because I close apps regularly.)

Step 5: Search for a song

This is one of the most painful iOS interaction patterns I have to deal with, multiple times a day.

Please fix iOS Music.

Seasons greetings for 2026,

David.

P.S: While we're here, why are there two X buttons right next to each other that do exactly the same thing? I might be conflating Safari and Music here, but the location change of "Submit" to be part of the keyboard has tripped me up so many times. Not because its location was changed (this I'm fine with) but because the original button was replaced with a destructive operation that does exactly the opposite of what it used to do.

Time to monorepo all my projects, I guess. Reminds me of Shigeru Miyamoto explaining Miniature Gardens / Hakoniwa.

So I wrote a little Texas Hold'em simulator to calculate the (pre-flop) win percentages of every set of hole cardsin heads-up and 3-way hands. It estimates the win percentages with a Monte Carlo Simulationover 50 million hands.

Then of course I made my own chart with colours and percentages.

I have colour scheme regrets. Oh well.

---

Raw data

Heads-Up+----------------------------------------------+----------------------------------+| Hand  Plays     Won       Tied     Lost      |  Win %      Tie %     Loss %     ||----------------------------------------------+----------------------------------||   AA  50000000  42467351  272798   7259851   |  84.934702  0.545596  14.519702  ||   KK  50000000  41054461  279274   8666265   |  82.108922  0.558548  17.33253   ||   QQ  50000000  39811592  293383   9895025   |  79.623184  0.586766  19.79005   ||   JJ  50000000  38573680  316739   11109581  |  77.14736   0.633478  22.219162  ||   TT  50000000  37329580  351404   12319016  |  74.65916   0.702808  24.638032  ||   99  50000000  35832566  391975   13775459  |  71.665132  0.78395   27.550918  ||   88  50000000  34360219  446816   15192965  |  68.720438  0.893632  30.38593   ||  AKs  50000000  33112430  825645   16061925  |  66.22486   1.65129   32.12385   ||   77  50000000  32861841  508679   16629480  |  65.723682  1.017358  33.25896   ||  AQs  50000000  32657262  895200   16447538  |  65.314524  1.7904    32.895076  ||  AKo  50000000  32235553  852229   16912218  |  64.471106  1.704458  33.824436  ||  AJs  50000000  32200010  996408   16803582  |  64.40002   1.992816  33.607164  ||  AQo  50000000  31754589  924187   17321224  |  63.509178  1.848374  34.642448  ||  ATs  50000000  31743136  1114938  17141926  |  63.486272  2.229876  34.283852  ||   66  50000000  31353568  584005   18062427  |  62.707136  1.16801   36.124854  ||  AJo  50000000  31270665  1025659  17703676  |  62.54133   2.051318  35.407352  ||  KQs  50000000  31202552  992028   17805420  |  62.405104  1.984056  35.61084   ||  ATo  50000000  30787717  1151543  18060740  |  61.575434  2.303086  36.12148   ||  A9s  50000000  30757372  1271457  17971171  |  61.514744  2.542914  35.942342  ||  KJs  50000000  30732667  1091280  18176053  |  61.465334  2.18256   36.352106  ||  KTs  50000000  30291704  1202272  18506024  |  60.583408  2.404544  37.012048  ||  A8s  50000000  30255855  1438333  18305812  |  60.51171   2.876666  36.611624  ||  KQo  50000000  30213689  1023294  18763017  |  60.427378  2.046588  37.526034  ||   55  50000000  29824043  685446   19490511  |  59.648086  1.370892  38.981022  ||  A9o  50000000  29728118  1322115  18949767  |  59.456236  2.64423   37.899534  ||  KJo  50000000  29718465  1128109  19153426  |  59.43693   2.256218  38.306852  ||  A7s  50000000  29692853  1596154  18710993  |  59.385706  3.192308  37.421986  ||  QJs  50000000  29533036  1189060  19277904  |  59.066072  2.37812   38.555808  ||  K9s  50000000  29324415  1349247  19326338  |  58.64883   2.698494  38.652676  ||  KTo  50000000  29243686  1244538  19511776  |  58.487372  2.489076  39.023552  ||  A8o  50000000  29193435  1498521  19308044  |  58.38687   2.997042  38.616088  ||  A6s  50000000  29089954  1724651  19185395  |  58.179908  3.449302  38.37079   ||  QTs  50000000  29081431  1293271  19625298  |  58.162862  2.586542  39.250596  ||  A5s  50000000  29033039  1856907  19110054  |  58.066078  3.713814  38.220108  ||  A7o  50000000  28586113  1672556  19741331  |  57.172226  3.345112  39.482662  ||  A4s  50000000  28570830  1894759  19534411  |  57.14166   3.789518  39.068822  ||  QJo  50000000  28452065  1228128  20319807  |  56.90413   2.456256  40.639614  ||  K8s  50000000  28392447  1521553  20086000  |  56.784894  3.043106  40.172     ||  K9o  50000000  28208468  1404675  20386857  |  56.416936  2.80935   40.773714  ||  A3s  50000000  28172314  1886918  19940768  |  56.344628  3.773836  39.881536  ||   44  50000000  28131204  764965   21103831  |  56.262408  1.52993   42.207662  ||  Q9s  50000000  28104363  1442191  20453446  |  56.208726  2.884382  40.906892  ||  JTs  50000000  28086892  1372747  20540361  |  56.173784  2.745494  41.080722  ||  QTo  50000000  27976090  1340296  20683614  |  55.95218   2.680592  41.367228  ||  A6o  50000000  27932639  1813972  20253389  |  55.865278  3.627944  40.506778  ||  K7s  50000000  27924480  1691543  20383977  |  55.84896   3.383086  40.767954  ||  A5o  50000000  27870512  1952918  20176570  |  55.741024  3.905836  40.35314   ||  A2s  50000000  27752652  1872186  20375162  |  55.505304  3.744372  40.750324  ||  K6s  50000000  27401649  1835699  20762652  |  54.803298  3.671398  41.525304  ||  A4o  50000000  27367847  1998396  20633757  |  54.735694  3.996792  41.267514  ||  K8o  50000000  27213865  1587940  21198195  |  54.42773   3.17588   42.39639   ||  Q8s  50000000  27207483  1599684  21192833  |  54.414966  3.199368  42.385666  ||  J9s  50000000  27059443  1549447  21391110  |  54.118886  3.098894  42.78222   ||  A3o  50000000  26938073  1989849  21072078  |  53.876146  3.979698  42.144156  ||  Q9o  50000000  26929608  1499905  21570487  |  53.859216  2.99981   43.140974  ||  K5s  50000000  26916729  1956810  21126461  |  53.833458  3.91362   42.252922  ||  JTo  50000000  26906314  1421166  21672520  |  53.812628  2.842332  43.34504   ||  K7o  50000000  26711644  1771240  21517116  |  53.423288  3.54248   43.034232  ||  A2o  50000000  26470368  1981742  21547890  |  52.940736  3.963484  43.09578   ||  K4s  50000000  26442417  1995683  21561900  |  52.884834  3.991366  43.1238    ||   33  50000000  26420079  853319   22726602  |  52.840158  1.706638  45.453204  ||  Q7s  50000000  26260975  1779469  21959556  |  52.52195   3.558938  43.919112  ||  T9s  50000000  26191667  1649103  22159230  |  52.383334  3.298206  44.31846   ||  J8s  50000000  26157096  1704314  22138590  |  52.314192  3.408628  44.27718   ||  K6o  50000000  26146310  1925659  21928031  |  52.29262   3.851318  43.856062  ||  K3s  50000000  26036770  1985110  21978120  |  52.07354   3.97022   43.95624   ||  Q8o  50000000  25965653  1669075  22365272  |  51.931306  3.33815   44.730544  ||  Q6s  50000000  25845873  1932817  22221310  |  51.691746  3.865634  44.44262   ||  J9o  50000000  25815073  1612997  22571930  |  51.630146  3.225994  45.14386   ||  K2s  50000000  25625386  1971145  22403469  |  51.250772  3.94229   44.806938  ||  K5o  50000000  25623290  2059979  22316731  |  51.24658   4.119958  44.633462  ||  Q5s  50000000  25355010  2054691  22590299  |  50.71002   4.109382  45.180598  ||  T8s  50000000  25258200  1823399  22918401  |  50.5164    3.646798  45.836802  ||  J7s  50000000  25223442  1870189  22906369  |  50.446884  3.740378  45.812738  ||  K4o  50000000  25107148  2100751  22792101  |  50.214296  4.201502  45.584202  ||  Q7o  50000000  24953182  1862321  23184497  |  49.906364  3.724642  46.368994  ||  T9o  50000000  24904003  1718934  23377063  |  49.808006  3.437868  46.754126  ||  Q4s  50000000  24884738  2092863  23022399  |  49.769476  4.185726  46.044798  ||  J8o  50000000  24861452  1775034  23363514  |  49.722904  3.550068  46.727028  ||   22  50000000  24691541  948507   24359952  |  49.383082  1.897014  48.719904  ||  K3o  50000000  24664882  2093658  23241460  |  49.329764  4.187316  46.48292   ||  Q6o  50000000  24499747  2025169  23475084  |  48.999494  4.050338  46.950168  ||  Q3s  50000000  24469892  2080122  23449986  |  48.939784  4.160244  46.899972  ||  98s  50000000  24424561  1944031  23631408  |  48.849122  3.888062  47.262816  ||  T7s  50000000  24321754  1989197  23689049  |  48.643508  3.978394  47.378098  ||  J6s  50000000  24289891  2032279  23677830  |  48.579782  4.064558  47.35566   ||  K2o  50000000  24213756  2084238  23702006  |  48.427512  4.168476  47.404012  ||  Q2s  50000000  24051029  2067043  23881928  |  48.102058  4.134086  47.763856  ||  Q5o  50000000  23980151  2163336  23856513  |  47.960302  4.326672  47.713026  ||  J5s  50000000  23912051  2166104  23921845  |  47.824102  4.332208  47.84369   ||  T8o  50000000  23909818  1904845  24185337  |  47.819636  3.80969   48.370674  ||  J7o  50000000  23865368  1955875  24178757  |  47.730736  3.91175   48.357514  ||  97s  50000000  23485387  2130585  24384028  |  46.970774  4.26117   48.768056  ||  Q4o  50000000  23463042  2204026  24332932  |  46.926084  4.408052  48.665864  ||  J4s  50000000  23432684  2203956  24363360  |  46.865368  4.407912  48.72672   ||  T6s  50000000  23397342  2140620  24462038  |  46.794684  4.28124   48.924076  ||  98o  50000000  23037615  2027879  24934506  |  46.07523   4.055758  49.869012  ||  Q3o  50000000  23016430  2194008  24789562  |  46.03286   4.388016  49.579124  ||  J3s  50000000  23016170  2189692  24794138  |  46.03234   4.379384  49.588276  ||  T7o  50000000  22916670  2077699  25005631  |  45.83334   4.155398  50.011262  ||  J6o  50000000  22855697  2130653  25013650  |  45.711394  4.261306  50.0273    ||  87s  50000000  22839711  2251154  24909135  |  45.679422  4.502308  49.81827   ||  J2s  50000000  22606842  2173077  25220081  |  45.213684  4.346154  50.440162  ||  96s  50000000  22578514  2276937  25144549  |  45.157028  4.553874  50.289098  ||  Q2o  50000000  22560689  2187275  25252036  |  45.121378  4.37455   50.504072  ||  T5s  50000000  22471512  2276931  25251557  |  44.943024  4.553862  50.503114  ||  J5o  50000000  22445393  2276062  25278545  |  44.890786  4.552124  50.55709   ||  T4s  50000000  22111466  2325475  25563059  |  44.222932  4.65095   51.126118  ||  97o  50000000  22029683  2225420  25744897  |  44.059366  4.45084   51.489794  ||  J4o  50000000  21930048  2318902  25751050  |  43.860096  4.637804  51.5021    ||  T6o  50000000  21925377  2242965  25831658  |  43.850754  4.48593   51.663316  ||  86s  50000000  21905735  2424883  25669382  |  43.81147   4.849766  51.338764  ||  T3s  50000000  21689065  2313047  25997888  |  43.37813   4.626094  51.995776  ||  95s  50000000  21666688  2410315  25922997  |  43.333376  4.82063   51.845994  ||  J3o  50000000  21478193  2308976  26212831  |  42.956386  4.617952  52.425662  ||  76s  50000000  21415700  2542327  26041973  |  42.8314    5.084654  52.083946  ||  87o  50000000  21347883  2357665  26294452  |  42.695766  4.71533   52.588904  ||  T2s  50000000  21269197  2298618  26432185  |  42.538394  4.597236  52.86437   ||  96o  50000000  21053866  2389108  26557026  |  42.107732  4.778216  53.114052  ||  J2o  50000000  21025904  2298152  26675944  |  42.051808  4.596304  53.351888  ||  85s  50000000  20986379  2553453  26460168  |  41.972758  5.106906  52.920336  ||  T5o  50000000  20928072  2393771  26678157  |  41.856144  4.787542  53.356314  ||  94s  50000000  20697495  2456223  26846282  |  41.39499   4.912446  53.692564  ||  T4o  50000000  20528535  2448337  27023128  |  41.05707   4.896674  54.046256  ||  75s  50000000  20490583  2697703  26811714  |  40.981166  5.395406  53.623428  ||  93s  50000000  20402479  2456266  27141255  |  40.804958  4.912532  54.28251   ||  86o  50000000  20348643  2546015  27105342  |  40.697286  5.09203   54.210684  ||  65s  50000000  20172875  2783632  27043493  |  40.34575   5.567264  54.086986  ||  T3o  50000000  20086175  2438324  27475501  |  40.17235   4.876648  54.951002  ||  95o  50000000  20063307  2533260  27403433  |  40.126614  5.06652   54.806866  ||  84s  50000000  20052065  2597830  27350105  |  40.10413   5.19566   54.70021   ||  92s  50000000  19986523  2441372  27572105  |  39.973046  4.882744  55.14421   ||  76o  50000000  19826558  2666570  27506872  |  39.653116  5.33314   55.013744  ||  T2o  50000000  19620282  2429115  27950603  |  39.240564  4.85823   55.901206  ||  74s  50000000  19553127  2739138  27707735  |  39.106254  5.478276  55.41547   ||  85o  50000000  19372315  2684079  27943606  |  38.74463   5.368158  55.887212  ||  54s  50000000  19265578  2923563  27810859  |  38.531156  5.847126  55.621718  ||  64s  50000000  19242455  2851540  27906005  |  38.48491   5.70308   55.81201   ||  83s  50000000  19140578  2591225  28268197  |  38.281156  5.18245   56.536394  ||  94o  50000000  19044028  2585387  28370585  |  38.088056  5.170774  56.74117   ||  75o  50000000  18841986  2837340  28320674  |  37.683972  5.67468   56.641348  ||  82s  50000000  18833970  2593029  28573001  |  37.66794   5.186058  57.146002  ||  93o  50000000  18711292  2592785  28695923  |  37.422584  5.18557   57.391846  ||  73s  50000000  18652747  2731424  28615829  |  37.305494  5.462848  57.231658  ||  65o  50000000  18506129  2931355  28562516  |  37.012258  5.86271   57.125032  ||  53s  50000000  18378610  2932135  28689255  |  36.75722   5.86427   57.37851   ||  84o  50000000  18352692  2735628  28911680  |  36.705384  5.471256  57.82336   ||  63s  50000000  18341481  2849194  28809325  |  36.682962  5.698388  57.61865   ||  92o  50000000  18257797  2580459  29161744  |  36.515594  5.160918  58.323488  ||  43s  50000000  17865457  2912824  29221719  |  35.730914  5.825648  58.443438  ||  74o  50000000  17830307  2888018  29281675  |  35.660614  5.776036  58.56335   ||  72s  50000000  17719855  2718525  29561620  |  35.43971   5.43705   59.12324   ||  54o  50000000  17541370  3080583  29378047  |  35.08274   6.161166  58.756094  ||  64o  50000000  17507331  3005141  29487528  |  35.014662  6.010282  58.975056  ||  52s  50000000  17465780  2919482  29614738  |  34.93156   5.838964  59.229476  ||  62s  50000000  17422050  2828524  29749426  |  34.8441    5.657048  59.498852  ||  83o  50000000  17374512  2733632  29891856  |  34.749024  5.467264  59.783712  ||  82o  50000000  17047935  2739385  30212680  |  34.09587   5.47877   60.42536   ||  42s  50000000  16960825  2907987  30131188  |  33.92165   5.815974  60.262376  ||  73o  50000000  16855765  2882991  30261244  |  33.71153   5.765982  60.522488  ||  53o  50000000  16581674  3099477  30318849  |  33.163348  6.198954  60.637698  ||  32s  50000000  16550277  2891856  30557867  |  33.100554  5.783712  61.115734  ||  63o  50000000  16538617  3006333  30455050  |  33.077234  6.012666  60.9101    ||  43o  50000000  16036292  3078421  30885287  |  32.072584  6.156842  61.770574  ||  72o  50000000  15858627  2871022  31270351  |  31.717254  5.742044  62.540702  ||  52o  50000000  15601627  3090662  31307711  |  31.203254  6.181324  62.615422  ||  62o  50000000  15543944  2995443  31460613  |  31.087888  5.990886  62.921226  ||  42o  50000000  15060317  3084039  31855644  |  30.120634  6.168078  63.711288  ||  32o  50000000  14624018  3063323  32312659  |  29.248036  6.126646  64.625318  |+----------------------------------------------+----------------------------------+3-Way+----------------------------------------------+----------------------------------+| Hand  Plays     Won       Tied     Lost      |  Win %      Tie %     Loss %     ||----------------------------------------------+----------------------------------||   AA  50000000  36604446  283587   13111967  |  73.208892  0.567174  26.223934  ||   KK  50000000  34316383  291311   15392306  |  68.632766  0.582622  30.784612  ||   QQ  50000000  32331020  319423   17349557  |  64.66204   0.638846  34.699114  ||   JJ  50000000  30435560  352920   19211520  |  60.87112   0.70584   38.42304   ||   TT  50000000  28625952  391824   20982224  |  57.251904  0.783648  41.964448  ||   99  50000000  26643884  400928   22955188  |  53.287768  0.801856  45.910376  ||  sAK  50000000  24916298  960635   24123067  |  49.832596  1.92127   48.246134  ||   88  50000000  24799647  423552   24776801  |  49.599294  0.847104  49.553602  ||  sAQ  50000000  24209072  1075565  24715363  |  48.418144  2.15113   49.430726  ||  oAK  50000000  23644578  995337   25360085  |  47.289156  1.990674  50.72017   ||  sAJ  50000000  23531648  1211713  25256639  |  47.063296  2.423426  50.513278  ||   77  50000000  23056892  447264   26495844  |  46.113784  0.894528  52.991688  ||  sKQ  50000000  23046445  1088034  25865521  |  46.09289   2.176068  51.731042  ||  sAT  50000000  22887142  1361159  25751699  |  45.774284  2.722318  51.503398  ||  oAQ  50000000  22881280  1116768  26001952  |  45.76256   2.233536  52.003904  ||  sKJ  50000000  22377982  1217090  26404928  |  44.755964  2.43418   52.809856  ||  oAJ  50000000  22161174  1261051  26577775  |  44.322348  2.522102  53.15555   ||  sKT  50000000  21764620  1349474  26885906  |  43.52924   2.698948  53.771812  ||  oKQ  50000000  21678402  1126516  27195082  |  43.356804  2.253032  54.390164  ||  sA9  50000000  21555832  1520562  26923606  |  43.111664  3.041124  53.847212  ||  sQJ  50000000  21526608  1249349  27224043  |  43.053216  2.498698  54.448086  ||  oAT  50000000  21476312  1416236  27107452  |  42.952624  2.832472  54.214904  ||   66  50000000  21405820  478194   28115986  |  42.81164   0.956388  56.231972  ||  oKJ  50000000  20960939  1266694  27772367  |  41.921878  2.533388  55.544734  ||  sA8  50000000  20951871  1697938  27350191  |  41.903742  3.395876  54.700382  ||  sQT  50000000  20924985  1370301  27704714  |  41.84997   2.740602  55.409428  ||  sK9  50000000  20458740  1482929  28058331  |  40.91748   2.965858  56.116662  ||  sJT  50000000  20348613  1382328  28269059  |  40.697226  2.764656  56.538118  ||  sA7  50000000  20312873  1848556  27838571  |  40.625746  3.697112  55.677142  ||  oKT  50000000  20302730  1403904  28293366  |  40.60546   2.807808  56.586732  ||  oQJ  50000000  20080852  1293367  28625781  |  40.161704  2.586734  57.251562  ||  oA9  50000000  20028614  1592553  28378833  |  40.057228  3.185106  56.757666  ||   55  50000000  19824197  524460   29651343  |  39.648394  1.04892   59.302686  ||  sA5  50000000  19732854  2064699  28202447  |  39.465708  4.129398  56.404894  ||  sA6  50000000  19651213  1946555  28402232  |  39.302426  3.89311   56.804464  ||  sQ9  50000000  19631335  1486770  28881895  |  39.26267   2.97354   57.76379   ||  oQT  50000000  19448052  1418903  29133045  |  38.896104  2.837806  58.26609   ||  oA8  50000000  19378776  1777031  28844193  |  38.757552  3.554062  57.688386  ||  sK8  50000000  19307840  1641249  29050911  |  38.61568   3.282498  58.101822  ||  sA4  50000000  19267495  2069374  28663131  |  38.53499   4.138748  57.326262  ||  sJ9  50000000  19048467  1502065  29449468  |  38.096934  3.00413   58.898936  ||  oK9  50000000  18893385  1548199  29558416  |  37.78677   3.096398  59.116832  ||  sA3  50000000  18868345  2036688  29094967  |  37.73669   4.073376  58.189934  ||  oJT  50000000  18860529  1427864  29711607  |  37.721058  2.855728  59.423214  ||  sK7  50000000  18786263  1798047  29415690  |  37.572526  3.596094  58.83138   ||  sT9  50000000  18686865  1518341  29794794  |  37.37373   3.036682  59.589588  ||  oA7  50000000  18682255  1937263  29380482  |  37.36451   3.874526  58.760964  ||  sQ8  50000000  18518886  1616997  29864117  |  37.037772  3.233994  59.728234  ||  sA2  50000000  18427165  2001741  29571094  |  36.85433   4.003482  59.142188  ||  sK6  50000000  18239730  1909130  29851140  |  36.47946   3.81826   59.70228   ||   44  50000000  18175612  538725   31285663  |  36.351224  1.07745   62.571326  ||  oA5  50000000  18059009  2171428  29769563  |  36.118018  4.342856  59.539126  ||  oQ9  50000000  18052578  1545028  30402394  |  36.105156  3.090056  60.804788  ||  oA6  50000000  17972787  2040634  29986579  |  35.945574  4.081268  59.973158  ||  sJ8  50000000  17955906  1613276  30430818  |  35.911812  3.226552  60.861636  ||  sK5  50000000  17755369  1994115  30250516  |  35.510738  3.98823   60.501032  ||  oK8  50000000  17658157  1718574  30623269  |  35.316314  3.437148  61.246538  ||  sT8  50000000  17600895  1626528  30772577  |  35.20179   3.253056  61.545154  ||  oA4  50000000  17551212  2177315  30271473  |  35.102424  4.35463   60.542946  ||  oJ9  50000000  17463817  1558195  30977988  |  34.927634  3.11639   61.955976  ||  sQ7  50000000  17416317  1755679  30828004  |  34.832634  3.511358  61.656008  ||  sK4  50000000  17322451  1990072  30687477  |  34.644902  3.980144  61.374954  ||  s98  50000000  17267838  1607693  31124469  |  34.535676  3.215386  62.248938  ||  oT9  50000000  17112149  1574006  31313845  |  34.224298  3.148012  62.62769   ||  oA3  50000000  17104584  2141465  30753951  |  34.209168  4.28293   61.507902  ||  oK7  50000000  17097359  1881522  31021119  |  34.194718  3.763044  62.042238  ||  sQ6  50000000  16986365  1877202  31136433  |  33.97273   3.754404  62.272866  ||  sK3  50000000  16929388  1956158  31114454  |  33.858776  3.912316  62.228908  ||  sJ7  50000000  16876717  1727023  31396260  |  33.753434  3.454046  62.79252   ||  oQ8  50000000  16855301  1685205  31459494  |  33.710602  3.37041   62.918988  ||  oA2  50000000  16620478  2111446  31268076  |  33.240956  4.222892  62.536152  ||   33  50000000  16604042  555927   32840031  |  33.208084  1.111854  65.680062  ||  sK2  50000000  16547506  1920609  31531885  |  33.095012  3.841218  63.06377   ||  sT7  50000000  16544539  1719218  31736243  |  33.089078  3.438436  63.472486  ||  sQ5  50000000  16511850  1947010  31541140  |  33.0237    3.89402   63.08228   ||  oK6  50000000  16507410  2001665  31490925  |  33.01482   4.00333   62.98185   ||  oJ8  50000000  16292060  1679155  32028785  |  32.58412   3.35831   64.05757   ||  s97  50000000  16271011  1699443  32029546  |  32.542022  3.398886  64.059092  ||  s87  50000000  16143206  1684109  32172685  |  32.286412  3.368218  64.34537   ||  sQ4  50000000  16096545  1940849  31962606  |  32.19309   3.881698  63.925212  ||  oK5  50000000  15983649  2095920  31920431  |  31.967298  4.19184   63.840862  ||  oT8  50000000  15941661  1688264  32370075  |  31.883322  3.376528  64.74015   ||  sJ6  50000000  15838015  1823175  32338810  |  31.67603   3.64635   64.67762   ||  sQ3  50000000  15721561  1903855  32374584  |  31.443122  3.80771   64.749168  ||  oQ7  50000000  15677712  1834261  32488027  |  31.355424  3.668522  64.976054  ||  o98  50000000  15600376  1665064  32734560  |  31.200752  3.330128  65.46912   ||  sT6  50000000  15514245  1801265  32684490  |  31.02849   3.60253   65.36898   ||  oK4  50000000  15501329  2093116  32405555  |  31.002658  4.186232  64.81111   ||  sJ5  50000000  15479508  1917272  32603220  |  30.959016  3.834544  65.20644   ||  sQ2  50000000  15345134  1863380  32791486  |  30.690268  3.72676   65.582972  ||  s96  50000000  15274588  1766011  32959401  |  30.549176  3.532022  65.918802  ||  oQ6  50000000  15200594  1965079  32834327  |  30.401188  3.930158  65.668654  ||  s86  50000000  15194606  1748454  33056940  |  30.389212  3.496908  66.11388   ||  s76  50000000  15191205  1726580  33082215  |  30.38241   3.45316   66.16443   ||  oJ7  50000000  15129608  1800889  33069503  |  30.259216  3.601778  66.139006  ||   22  50000000  15124907  580896   34294197  |  30.249814  1.161792  68.588394  ||  sJ4  50000000  15076128  1900649  33023223  |  30.152256  3.801298  66.046446  ||  oK3  50000000  15075259  2057053  32867688  |  30.150518  4.114106  65.735376  ||  oT7  50000000  14798510  1792105  33409385  |  29.59702   3.58421   66.81877   ||  sJ3  50000000  14712292  1859443  33428265  |  29.424584  3.718886  66.85653   ||  oQ5  50000000  14695079  2040919  33264002  |  29.390158  4.081838  66.528004  ||  oK2  50000000  14646784  2022976  33330240  |  29.293568  4.045952  66.66048   ||  o97  50000000  14535566  1764581  33699853  |  29.071132  3.529162  67.399706  ||  sT5  50000000  14533918  1870050  33596032  |  29.067836  3.7401    67.192064  ||  o87  50000000  14424560  1743459  33831981  |  28.84912   3.486918  67.663962  ||  s65  50000000  14361197  1752352  33886451  |  28.722394  3.504704  67.772902  ||  sJ2  50000000  14338542  1820235  33841223  |  28.677084  3.64047   67.682446  ||  s95  50000000  14298915  1820331  33880754  |  28.59783   3.640662  67.761508  ||  s75  50000000  14273975  1774374  33951651  |  28.54795   3.548748  67.903302  ||  oQ4  50000000  14237508  2035803  33726689  |  28.475016  4.071606  67.453378  ||  sT4  50000000  14237405  1876578  33886017  |  28.47481   3.753156  67.772034  ||  s85  50000000  14234928  1793974  33971098  |  28.469856  3.587948  67.942196  ||  oJ6  50000000  14019193  1908483  34072324  |  28.038386  3.816966  68.144648  ||  sT3  50000000  13875463  1832899  34291638  |  27.750926  3.665798  68.583276  ||  oQ3  50000000  13816013  1998669  34185318  |  27.632026  3.997338  68.370636  ||  s54  50000000  13751937  1744072  34503991  |  27.503874  3.488144  69.007982  ||  oT6  50000000  13701612  1880034  34418354  |  27.403224  3.760068  68.836708  ||  oJ5  50000000  13626308  2010385  34363307  |  27.252616  4.02077   68.726614  ||  sT2  50000000  13512344  1790573  34697083  |  27.024688  3.581146  69.394166  ||  s64  50000000  13495894  1723580  34780526  |  26.991788  3.44716   69.561052  ||  o96  50000000  13458513  1837647  34703840  |  26.917026  3.675294  69.40768   ||  o76  50000000  13405993  1797276  34796731  |  26.811986  3.594552  69.593462  ||  o86  50000000  13402746  1814491  34782763  |  26.805492  3.628982  69.565526  ||  oQ2  50000000  13398253  1963228  34638519  |  26.796506  3.926456  69.277038  ||  s94  50000000  13366657  1805088  34828255  |  26.733314  3.610176  69.65651   ||  s74  50000000  13362611  1743101  34894288  |  26.725222  3.486202  69.788576  ||  s84  50000000  13309425  1772554  34918021  |  26.61885   3.545108  69.836042  ||  oJ4  50000000  13180888  1994135  34824977  |  26.361776  3.98827   69.649954  ||  s93  50000000  13107712  1785738  35106550  |  26.215424  3.571476  70.2131    ||  s53  50000000  12896727  1700200  35403073  |  25.793454  3.4004    70.806146  ||  oJ3  50000000  12769608  1953749  35276643  |  25.539216  3.907498  70.553286  ||  s92  50000000  12749216  1743204  35507580  |  25.498432  3.486408  71.01516   ||  oT5  50000000  12647887  1955750  35396363  |  25.295774  3.9115    70.792726  ||  s63  50000000  12594056  1678674  35727270  |  25.188112  3.357348  71.45454   ||  o65  50000000  12525978  1815493  35658529  |  25.051956  3.630986  71.317058  ||  s43  50000000  12499856  1648597  35851547  |  24.999712  3.297194  71.703094  ||  s73  50000000  12451723  1702855  35845422  |  24.903446  3.40571   71.690844  ||  o75  50000000  12426740  1842223  35731037  |  24.85348   3.684446  71.462074  ||  o95  50000000  12414232  1901831  35683937  |  24.828464  3.803662  71.367874  ||  s83  50000000  12406002  1734454  35859544  |  24.812004  3.468908  71.719088  ||  o85  50000000  12365739  1869155  35765106  |  24.731478  3.73831   71.530212  ||  oJ2  50000000  12360916  1911348  35727736  |  24.721832  3.822696  71.455472  ||  oT4  50000000  12312002  1964122  35723876  |  24.624004  3.928244  71.447752  ||  s82  50000000  12146325  1714748  36138927  |  24.29265   3.429496  72.277854  ||  s52  50000000  12003053  1652409  36344538  |  24.006106  3.304818  72.689076  ||  oT3  50000000  11919804  1921927  36158269  |  23.839608  3.843854  72.316538  ||  o54  50000000  11872038  1813897  36314065  |  23.744076  3.627794  72.62813   ||  s62  50000000  11695505  1633243  36671252  |  23.39101   3.266486  73.342504  ||  s42  50000000  11655221  1601036  36743743  |  23.310442  3.202072  73.487486  ||  o64  50000000  11592813  1789119  36618068  |  23.185626  3.578238  73.236136  ||  s72  50000000  11563330  1662906  36773764  |  23.12666   3.325812  73.547528  ||  oT2  50000000  11507032  1880722  36612246  |  23.014064  3.761444  73.224492  ||  o74  50000000  11434294  1817615  36748091  |  22.868588  3.63523   73.496182  ||  o94  50000000  11406748  1886504  36706748  |  22.813496  3.773008  73.413496  ||  o84  50000000  11363915  1847653  36788432  |  22.72783   3.695306  73.576864  ||  s32  50000000  11250276  1552526  37197198  |  22.500552  3.105052  74.394396  ||  o93  50000000  11111069  1870230  37018701  |  22.222138  3.74046   74.037402  ||  o53  50000000  10956672  1771214  37272114  |  21.913344  3.542428  74.544228  ||  o92  50000000  10715464  1827665  37456871  |  21.430928  3.65533   74.913742  ||  o63  50000000  10623745  1748408  37627847  |  21.24749   3.496816  75.255694  ||  o43  50000000  10533737  1716239  37750024  |  21.067474  3.432478  75.500048  ||  o73  50000000  10451416  1777818  37770766  |  20.902832  3.555636  75.541532  ||  o83  50000000  10382729  1811557  37805714  |  20.765458  3.623114  75.611428  ||  o82  50000000  10096980  1795845  38107175  |  20.19396   3.59169   76.21435   ||  o52  50000000  9993222   1724997  38281781  |  19.986444  3.449994  76.563562  ||  o62  50000000  9642419   1703927  38653654  |  19.284838  3.407854  77.307308  ||  o42  50000000  9609970   1669105  38720925  |  19.21994   3.33821   77.44185   ||  o72  50000000  9485349   1739662  38774989  |  18.970698  3.479324  77.549978  ||  o32  50000000  9184942   1619509  39195549  |  18.369884  3.239018  78.391098  |+----------------------------------------------+----------------------------------+