Yes or No
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Do you want free answers to your problems presented in a clear and concise manner? Read on.
It doesn't matter whether you're arguing with your partner, friend, pet, or yourself. We can help.
Simply put: we provide answers to your problems.
How do we do it? Through our insightful knowledge of
- different types of problems
- different types of answers
- linear congruent method
we can confidently present an answer to your questions. It's hard to believe, I know!
The best part? Well, other than the right answers, of course. Our service is free! We provide answers at absolutely no charge. We don't want your money — we want you on your way with an answer in hand.
Why, answers of course. Your answer will appear in the following form
The correct course of action (YES, NO or MAYBE) will be presented one of many style.
We're confident that our answers are 100% correct.
Just read this testimonial — others have already been answered. You can be be next!
You are sitting on a gold mine ... of answers! I just know that whatever comes my way, I can count on yesorno to help me through.
—Paul A
Be prepared, though. Using our service may lead you down the correct road quickly, efficiently and with time to spare. You may be surprised.
When you're ready, focus on the question you want to have solved and hit the I WANT AN ANSWER button above.
Congratulations! Use it well.
Our records show that you have already received an answer of YES, which is 1.8 days old.
This answer is stale — answers are good for only 5 minutes.
Never use a stale answer. Instead, consider getting a new answer — but make sure you first have a problem. Answers without problems cannot be retroactively applied.
Don't we all. You can obtain an answer every 5 minutes.
Even if it feels like you can't wait — you can.
Finding answers to your problems — that's what we do.
It's not easy, especially when you consider the variety of problems we deal with.
That's why we use the linear congruent method in computing answers. Without burdening you with technicalities (those mathematicians sure like to make things sound complicated!), we have selected this method because
- the linear congruent method scales favourably with the number of problems — we can answer many problems without investing in expensive hardware
- “linear” is a common synonym for “straight”. We give you the straight answer.
- it is “congruent”, meaning that it corresponds to the right answer.
We provide answers to you free of charge. Our rewards come from solving your problems — every time.
So far, we have generated 791 answers. Each one as correct as the next.
Below is a sample answer. Do not use this answer to solve a problem. If you want a real answer, hit the I WANT AN ANSWER button above.
Propensity score matching
I don’t 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.
Nasa to send our human genome discs to the Moon
We'd like to say a ‘cosmic hello’: 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. —George 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 imbalance, 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 21:546–548.
Happy 2024 π Day—
sunflowers ho!
Celebrate π 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 detail—a 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 space—the lack of voids in some regions on the globe simply reflects SDSS’s 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