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Mad about you, orchestrally.Hooverphonicfeel the vibe, feel the terror, feel the painmore quotes

EMBO Practical Course: Bioinformatics and Genome Analysis, 5–17 June 2017.

art + literature

daily quotation server archives

In the late 90’s I started (a good decade for starts) a daily quotation server project at The domain is now defunct—some pages are partially viewable at the Way Back Machine.

Below is the list of quotes I had collected by the end of the life of the project. Most are about love—duh—and a few are jolly jests from funny trenches. You know, that place where mustard gas makes your eyes water.

The quotes weren’t scraped from quote archives—each is meaningful and hand-picked.

the quote archive

And now for full list of 1,600 other things worth reading. Such as everything Dorothy Parker has written and ... yes, even the Pinky and Brain quotes, which are a special kind of special.

Quote collections about love, heart, desire, life, death, god, mind, science.

Feeling lucky? Read 10 random quotes. Well, will you, punk?

Quotes about desire

Some say the world will end in fire,
Some say in ice.
From what I’ve tasted of desire
I hold with those who favor fire.
But if it had to perish twice,
I think I know enough of hate
To say that for destruction ice
Is also great
And would suffice.
Robert Frost
Fire and Ice
What is it men in women do require?
The lineaments of gratified desire.
What is it women do in men require?
The lineaments of gratified desire.
William Blake
MS. Notebooks, 1793, p.99
I dare not ask a kiss;
I dare not beg a smile;
Lest having that, or this,
I might grow proud the while.
No, no, the utmost share
Of my desire, shall be
Only to kiss the air,
That lately kissed thee.
Robert Herrick
To Electra
There are two tragedies in life.
One is to lose your heart’s desire.
The other is to gain it.
George Bernard Shaw
Foeda est in coitu et brevis voluptas
Et taedet Veneris statim peractae.
[Delight of lust is gross and brief
And weariness treads on desire.]
I do desire we may be better strangers.
William Shakespeare
As You Like It, I.vii.276
They are not long, the weeping and the laughter,
Love and desire and hate:
I think they have no portion in us after
We pass the gate.
Ernest Dowson
Vitae Summa Brevis Spem Nos Vetat Incohare Longham
And Love! could thou and I with Fate conspire
To grasp this sorry Scheme of Things entire,
Would not we shatter it to bits—and then
Re-mould it nearer to the Heart’s Desire!
Omar Khayyam
Rubaiyat, LXXII, trans. by Edward Fitzgerald (1st ed.)
If I seek a lovelier part,
Where I travel goes my heart;
Where I stray my thought must go;
With me wanders my desire.
Best to sit and watch the snow,
Turn the lock, and poke the fire.
Dorothy Parker
April is the cruellest month, breeding
Lilacs out of the dead land, mixing
Memory out of desire, stirring
Dull roots with spring rain.
Winter kept us warm, covering
Earth in a forgetful snow, feeding
A little life with dried tubers.
T.S. Eliot
The Waste Land
Be thou my friend forever blest
Have friends selected from the best
Have all the sweethearts you desire
but be my sweetheart for this hour.
Will A. McCoy
Autograph Albums and Bible of Ella Beaver Calhoun
Desire not to live long but to live well,
How long we live not years, but actions tell.
Adda Ervin
Autograph Albums and Bible of Ella Beaver Calhoun
Montains should be climbed with as little effort as possible and without desire. The reality of your own nature should determine the speed. If you become restless, speed up. If you become winded, slow down.
Robert M. Pirsig
Zen and the Art of Motorcycle Maintenance

news + thoughts

Snellen Charts—Typography to Really Look at

Sat 18-02-2017

Another collection of typographical posters. These ones really ask you to look.

Martin Krzywinski @MKrzywinski
Snellen charts designed using physical constants, Braille and elemental abundances in the universe and human body.

The charts show a variety of interesting symbols and operators found in science and math. The design is in the style of a Snellen chart and typset with the Rockwell font.

Essentials of Data Visualization—8-part video series

Fri 17-02-2017
Martin Krzywinski @MKrzywinski

In collaboration with the Phil Poronnik and Kim Bell-Anderson at the University of Sydney, I'm delighted to share with you our 8-part video series project about thinking about drawing data and communicating science.

Martin Krzywinski @MKrzywinski
Essentials of Data Visualization: Thinking about drawing data and communicating science.

We've created 8 videos, each focusing on a different essential idea in data visualization: encoding, shapes, color, uncertainty, design, drawing missing or unobserved data, labels and process.

The videos were designed as teaching materials. Each video comes with a slide deck and exercises.

P values and the search for significance

Mon 16-01-2017
Little P value
What are you trying to say
Of significance?
—Steve Ziliak

We've written about P values before and warned readers about common misconceptions about them, which are so rife that the American Statistical Association itself has a long statement about them.

This month is our first of a two-part article about P values. Here we look at 'P value hacking' and 'data dredging', which are questionable practices that invalidate the correct interpretation of P values.

Martin Krzywinski @MKrzywinski
Nature Methods Points of Significance column: P values and the search for significance. (read)

We also illustrate how P values can lead us astray by asking "What is the smallest P value we can expect if the null hypothesis is true but we have done many tests, either explicitly or implicitly?"

Incidentally, this is our first column in which the standfirst is a haiku.

Altman, N. & Krzywinski, M. (2017) Points of Significance: P values and the search for significance. Nature Methods 14:3–4.

Background reading

Krzywinski, M. & Altman, N. (2013) Points of significance: Significance, P values and t–tests. Nature Methods 10:1041–1042.

...more about the Points of Significance column

Intuitive Design

Thu 03-11-2016

Appeal to intuition when designing with value judgments in mind.

Figure clarity and concision are improved when the selection of shapes and colors is grounded in the Gestalt principles, which describe how we visually perceive and organize information.

Martin Krzywinski @MKrzywinski
One of the Gestalt principles tells us that the magenta and green shapes will be perceived as as two groups, overriding the fact that the shapes within the group might be different. What the principle does not tell us is how the reader is likely to value each group. (read)

The Gestalt principles are value free. For example, they tell us how we group objects but do not speak to any meaning that we might intuitively infer from visual characteristics.

Martin Krzywinski @MKrzywinski
Nature Methods Points of View column: Intuitive Design. (read)

This month, we discuss how appealing to such intuitions—related to shapes, colors and spatial orientation— can help us add information to a figure as well as anticipate and encourage useful interpretations.

Krzywinski, M. (2016) Points of View: Intuitive Design. Nature Methods 13:895.

...more about the Points of View column


Fri 04-11-2016

Constraining the magnitude of parameters of a model can control its complexity.

This month we continue our discussion about model selection and evaluation and address how to choose a model that avoids both overfitting and underfitting.

Ideally, we want to avoid having either an underfitted model, which is usually a poor fit to the training data, or an overfitted model, which is a good fit to the training data but not to new data.

Martin Krzywinski @MKrzywinski
Nature Methods Points of Significance column: Regularization (read)

Regularization is a process that penalizes the magnitude of model parameters. This is done by not only minimizing the SSE, `\mathrm{SSE} = \sum_i (y_i - \hat{y}_i)^2 `, as is done normally in a fit, but adding to this minimized quantity the sum of the mode's squared parameters, `\mathrm{SSE} + \lambda \sum_i \hat{\beta}^2_i`.

Lever, J., Krzywinski, M. & Altman, N. (2016) Points of Significance: Regularization. Nature Methods 13:803-804.

Background reading

Lever, J., Krzywinski, M. & Altman, N. (2016) Points of Significance: Model Selection and Overfitting. Nature Methods 13:703-704.

Lever, J., Krzywinski, M. & Altman, N. (2016) Points of Significance: Classifier evaluation. Nature Methods 13:603-604.

Lever, J., Krzywinski, M. & Altman, N. (2016) Points of Significance: Logistic regression. Nature Methods 13:541-542.

...more about the Points of Significance column