Ignacio Caro Solís

Economista UBA

[Ismael Sanz @sanz_ismael]

The New York Times: No puedes “gamificar” una educación real.
La obsesión por hacer que aprender sea siempre “divertido” ha llevado a llenar las aulas de pantallas, juegos y estímulos rápidos. Pero educar no es entretener: es exigir atención, esfuerzo y pensamiento profundo.
La tecnología debe ser una herramienta complementaria, no el centro del aprendizaje.
https://t.co/ar0gPMtXkh

[José Mencía @jmmencia]

En educación hay una obsesión enfermiza con encontrar el método definitivo que por fin haga que los alumnos lean, la técnica que conseguirá que escriban con ganas.
Ya te adelanto que no se va a encontrar porque no existe.
Leer a veces aburre. Escribir cuesta. Y no hay app, gamificación ni metodología innovadora que cambie eso.
El problema es que llevamos años en un sistema empeñado en enseñar a los chicos que aprender tiene que ser entretenido para ser válido.

[Historic Vids @historyinmemes]

"Human experience of space and time in the physical world."

This chart illustrates that humans perceive only a tiny slice of the full universe. The large striped box represents everything that exists—from the smallest subatomic particles to the vast reaches of outer space, and from the briefest instants to the entire age of the cosmos.

At the center, the small white square labeled “Human Experience” marks the narrow range of sizes and time scales we can directly sense, like the dimensions of a room or the span of a human lifetime. It highlights how most of reality lies beyond our perception—either too small, too immense, too fast, or too slow for our senses—leaving us with a very limited window into the true scope of the universe.

[Wonder of Science @wonderofscience]

Crown shyness is a phenomenon where trees' uppermost branches avoid touching, forming a delicate web of natural negative space. This is thought to be a growth response to prevent ongoing abrasion damage and potential pest invasion.

📽:Dimitar Karanikolov

[Saganism @Saganismm]

“A human being is a part of the whole called by us universe, a part limited in time and space. He experiences himself, his thoughts and feeling as something separated from the rest, a kind of optical delusion of his consciousness. This delusion is a kind of prison for us, restricting us to our personal desires and to affection for a few persons nearest to us.

Our task must be to free ourselves from this prison by widening our circle of compassion to embrace all living creatures and the whole of nature in its beauty.”

— Albert Einstein

[Víctor et al. @azogueray]

Un dato curioso:

Orión tardó 42:50 minutos en cruzar el lado oculto de la luna.
The Dark Side of the Moon dura exactamente 42:50 minutos.

Guiños involuntarios de la historia 😉

#ArtemisII

[emily north @north0fnorth]

found the original 4k+ resolution artemis ii moon photos rather than the compressed 1080p ones official government accounts have been posting and the details are absolutely spectacular

https://t.co/NUGiefdfzK

[David Aerne @meodai]

what if you could navigate unicode characters by visual similarity?

[Matt DesLauriers @mattdesl]

an esoteric colour picker exploring perceptual ambiguities, drawn from ~3 million human-labelled colours.

for each named colour (eg. "pink"), the disc represents the two primary axes of uncertainty in the data, and the slider exposes a third axis. more details below.

[Vintage Maps @vintagemapstore]

How day length (hours of daylight) varies throughout the year. Map by neilrkaye

[Milos @milos_gis]

Fascinating interactive map of travel time distance that helps you plan your journey from any place!
Link in the replies 👇

[Financial Times @FT]

Opinion: Fifty years ago, the assets held by S&P 500 companies were predominantly physical. But today, it is estimated that around 90% of their assets are intangible. This transformation helps to explain four prevailing themes in the US stock market https://t.co/enjf4BdloR

[Michael Pyrcz🌻 @GeostatsGuy]

🚀 I just revised the "#MachineLearning Concepts" chapter in my free, online e-book, "Applied Machine Learning in Python"!

Why? Because I'm committed to creating actionable, accessible, and completely free educational content for anyone learning ML. Whether you're a student, educator, or practitioner—this resource is for you. As a professor, I'm stoked to be able to serve society!

📖 Check it out here:
https://t.co/wSfCjg1tXF ∀.

[Kyle Walker @kyle_e_walker]

My favorite #Python package to use is spopt, a library for spatial optimization.

It helps you with:

📊 Facility location planning;
📊 Sales territory design;
📊 Maximizing market share;

And much more! Check it out here:

https://t.co/PzjPTqqqOG

[Yohan @yohaniddawela]

Measuring agricultural GDP at a pixel level is notoriously challenging.

It requires precise information on crop type and crop yield.

@esa has launched a (free) dataset that provides this information.

Here's what you need to know about it:

[Pablo Malo @pitiklinov]

"Cuando escuchamos música y nos parece bella, nuestro cerebro desarrolla un patrón de actividad distinto del que se produce cuando escuchamos música que no nos parece bella. Un estudio reciente realizado con tecnología de imágenes cerebrales descubrió que experimentar la belleza de la música implica una mayor comunicación entre áreas cerebrales asociadas a la recompensa y el procesamiento visual, mientras que escuchar música considerada menos bella está vinculado a una mayor actividad en regiones cerebrales responsables del procesamiento sensorial básico. Esto sugiere que apreciar la belleza musical es un proceso complejo que va más allá de la mera audición de los sonidos e implica funciones cerebrales superiores como el placer y la imaginación mental."

https://t.co/x6wBwcl1OV

[Nature is Amazing ☘️ @AMAZlNGNATURE]

This only happens to you once. 😃

[Nassim Nicholas Taleb @nntaleb]

It is IMPOSSIBLE to not find a statistically significant link between any 2 random variables under multi-testing.
I generated 9 pairs of totally random variables, picked the highest R^2, and it beats what you see in papers.
#FooledbyRandomness

[Michael Pyrcz🌻 @GeostatsGuy]

How sensitive is the correlation coefficient to outliers? 🤔

Extremely sensitive! Even with 1,000 uncorrelated samples, just one extreme outlier can cause the correlation to approach 1.0! 😱

Correlation is a key tool in #DataAnalytics and #MachineLearning, but remember—80-90% of #DataScience is about exploring and cleaning the data before building any models! 🧹🔍

Check out this interactive @matplotlib #Python dashboard to see the effects of outliers on correlation: https://t.co/aajPHzH92I. For a detailed walk-through, watch the video here: https://t.co/dF9liDUgf7 ∀.

[Bert Temme @berttemme]

Geocomputation with Python: a (open source) book on reproducible geographic data analysis with open source software. https://t.co/ATl1d4bELs