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!
Propensity score weighting
The needs of the many outweigh the needs of the few. —Mr. Spock (Star Trek II)
This month, we explore a related and powerful technique to address bias: propensity score weighting (PSW), which applies weights to each subject instead of matching (or discarding) them.
Kurz, C.F., Krzywinski, M. & Altman, N. (2025) Points of significance: Propensity score weighting. Nat. Methods 22:1–3.
Happy 2025 Ï Day—
TTCAGT: a sequence of digits
Celebrate Ï Day (March 14th) and sequence digits like its 1999. Let's call some peaks.
Crafting 10 Years of Statistics Explanations: Points of Significance
I donât have good luck in the match points. —Rafael Nadal, Spanish tennis player
Points of Significance is an ongoing series of short articles about statistics in Nature Methods that started in 2013. Its aim is to provide clear explanations of essential concepts in statistics for a nonspecialist audience. The articles favor heuristic explanations and make extensive use of simulated examples and graphical explanations, while maintaining mathematical rigor.
Topics range from basic, but often misunderstood, such as uncertainty and P-values, to relatively advanced, but often neglected, such as the error-in-variables problem and the curse of dimensionality. More recent articles have focused on timely topics such as modeling of epidemics, machine learning, and neural networks.
In this article, we discuss the evolution of topics and details behind some of the story arcs, our approach to crafting statistical explanations and narratives, and our use of figures and numerical simulations as props for building understanding.
Altman, N. & Krzywinski, M. (2025) Crafting 10 Years of Statistics Explanations: Points of Significance. Annual Review of Statistics and Its Application 12:69–87.
Propensity score matching
I donât have good luck in the match points. —Rafael Nadal, Spanish tennis player
In many experimental designs, we need to keep in mind the possibility of confounding variables, which may give rise to bias in the estimate of the treatment effect.
If the control and experimental groups aren't matched (or, roughly, similar enough), this bias can arise.
Sometimes this can be dealt with by randomizing, which on average can balance this effect out. When randomization is not possible, propensity score matching is an excellent strategy to match control and experimental groups.
Kurz, C.F., Krzywinski, M. & Altman, N. (2024) Points of significance: Propensity score matching. Nat. Methods 21:1770–1772.
Understanding p-values and significance
P-values combined with estimates of effect size are used to assess the importance of experimental results. However, their interpretation can be invalidated by selection bias when testing multiple hypotheses, fitting multiple models or even informally selecting results that seem interesting after observing the data.
We offer an introduction to principled uses of p-values (targeted at the non-specialist) and identify questionable practices to be avoided.
Altman, N. & Krzywinski, M. (2024) Understanding p-values and significance. Laboratory Animals 58:443–446.