The archive contains 1,709 quotes. From Dorothy Parker to Pinky and Brain, you're sure to find something special.
There are quote collections about love, heart, desire, life, death, god, mind, science.
Feeling lucky? Read 10 random quotes. Well, will you, punk?
All quotes about god
With my lost saints,—I love thee with the breath
Smiles, tears, of all my life!—and, if God choose,
I shall but love thee better after death.
But only God can make a tree.
Whose body Nature is, and God the soul.
But only God can make a tree.
The high untrespassed sanctity of space,
Put out my hand, and touched the face of God.
ar: God does not exist
If you believe in happiness it’s because of unhappiness.
If you believe in God, then you have to believe in the Devil.
He doesn’t give a damn.
I wish I were a moron.
My God! Perhaps I am!
all the books.
Disease, or sorrows strike him,
Inclines to think there is a God,
Or something very like Him.
So near is God to man,
When Duty whispers low, Thou must,
The youth replies, I can.
[God is dead: but considering the state the species Man is in, there will perhaps be caves, for ages yet, in which his shadow will be shown.]
To be no better than a homely swain;
To sit upon a hill, as I do now,
To carve out dials, quaintly, point by point,
Thereby to see the minutes how they run,
How many make the hour full complete;
How many hours bring about the day;
How many days will finish up the year;
How many years a mortal man may live.
What jealous pangs, what shy despairs I knew!
A love as deep as this, as true, as tender,
God grant another may yet offer you.
And seen strange lands from under the arched white sails of ships;
But the loveliest things of beauty God ever has showed to me,
Are her voice, and her hair, and eyes, and the dear red curve of her lips.
Whenever from my circling arms you stray;
This little world of mine has lost its light....
I hope to God, my dear, that you can say
The same to me.
my tongue caught in the roller of an electric typewriter?
shows through.
God one of man’s?
sky as well as the earth!
And nothing that moves but the cars...
God, if you wish for our love,
Fling us a handful of stars!
Nasa to send our human genome discs to the Moon
We'd like to say a âcosmic helloâ: mathematics, culture, palaeontology, art and science, and ... human genomes.
Comparing classifier performance with baselines
All animals are equal, but some animals are more equal than others. âGeorge Orwell
This month, we will illustrate the importance of establishing a baseline performance level.
Baselines are typically generated independently for each dataset using very simple models. Their role is to set the minimum level of acceptable performance and help with comparing relative improvements in performance of other models.
Unfortunately, baselines are often overlooked and, in the presence of a class imbalance5, must be established with care.
Megahed, F.M, Chen, Y-J., Jones-Farmer, A., Rigdon, S.E., Krzywinski, M. & Altman, N. (2024) Points of significance: Comparing classifier performance with baselines. Nat. Methods 20.
Happy 2024 Ï Day—
sunflowers ho!
Celebrate Ï Day (March 14th) and dig into the digit garden. Let's grow something.
How Analyzing Cosmic Nothing Might Explain Everything
Huge empty areas of the universe called voids could help solve the greatest mysteries in the cosmos.
My graphic accompanying How Analyzing Cosmic Nothing Might Explain Everything in the January 2024 issue of Scientific American depicts the entire Universe in a two-page spread — full of nothing.
The graphic uses the latest data from SDSS 12 and is an update to my Superclusters and Voids poster.
Michael Lemonick (editor) explains on the graphic:
“Regions of relatively empty space called cosmic voids are everywhere in the universe, and scientists believe studying their size, shape and spread across the cosmos could help them understand dark matter, dark energy and other big mysteries.
To use voids in this way, astronomers must map these regions in detailâa project that is just beginning.
Shown here are voids discovered by the Sloan Digital Sky Survey (SDSS), along with a selection of 16 previously named voids. Scientists expect voids to be evenly distributed throughout spaceâthe lack of voids in some regions on the globe simply reï¬ects SDSSâs sky coverage.”
voids
Sofia Contarini, Alice Pisani, Nico Hamaus, Federico Marulli Lauro Moscardini & Marco Baldi (2023) Cosmological Constraints from the BOSS DR12 Void Size Function Astrophysical Journal 953:46.
Nico Hamaus, Alice Pisani, Jin-Ah Choi, Guilhem Lavaux, Benjamin D. Wandelt & Jochen Weller (2020) Journal of Cosmology and Astroparticle Physics 2020:023.
Sloan Digital Sky Survey Data Release 12
Alan MacRobert (Sky & Telescope), Paulina Rowicka/Martin Krzywinski (revisions & Microscopium)
Hoffleit & Warren Jr. (1991) The Bright Star Catalog, 5th Revised Edition (Preliminary Version).
H0 = 67.4 km/(Mpc·s), Ωm = 0.315, Ωv = 0.685. Planck collaboration Planck 2018 results. VI. Cosmological parameters (2018).
constellation figures
stars
cosmology
Error in predictor variables
It is the mark of an educated mind to rest satisfied with the degree of precision that the nature of the subject admits and not to seek exactness where only an approximation is possible. âAristotle
In regression, the predictors are (typically) assumed to have known values that are measured without error.
Practically, however, predictors are often measured with error. This has a profound (but predictable) effect on the estimates of relationships among variables â the so-called âerror in variablesâ problem.
Error in measuring the predictors is often ignored. In this column, we discuss when ignoring this error is harmless and when it can lead to large bias that can leads us to miss important effects.
Altman, N. & Krzywinski, M. (2024) Points of significance: Error in predictor variables. Nat. Methods 20.
Background reading
Altman, N. & Krzywinski, M. (2015) Points of significance: Simple linear regression. Nat. Methods 12:999â1000.
Lever, J., Krzywinski, M. & Altman, N. (2016) Points of significance: Logistic regression. Nat. Methods 13:541â542 (2016).
Das, K., Krzywinski, M. & Altman, N. (2019) Points of significance: Quantile regression. Nat. Methods 16:451â452.