M de Moli

Chicago school enjoyer

[M de Moli @samumolina28]

@salmacamargo_23 Perdón no lo pude esconder

[M de Moli @samumolina28]

Y si

[Dear Self. @Dearme2_]

NETWORKING IS CRAZYYYYYYY. You can literally get rich by meeting the right people.

[ACE @RealAce404]

Never let a bitch ruin your mental health

[M de Moli @samumolina28]

@martincalder0n Es de un estúpido

[M de Moli @samumolina28]

@EliCL24 @frabigol Cual riverdolaguismo fantasmota

[Eli @EliCL24]

La utopía es tan imposible que merece ser cazada

[Luna @alucinnnosis]

Viva la resilencia, el barrio, la garra y el fútbol de calle. Viva Sudamérica y que los Europeos y su técnica la sigan mamando.

[JuanSe Molina @Juansems]

Ahora Alemania va a saber lo que es jugar la Copa Libertadores... Tratar de hacerle un gol a 11 paraguayos colgados de los palos.

[M de Moli @samumolina28]

TE AMO ALFARO ME DISTE FUTBOL DE COPA LIBERTADORES

[Demian @endemianado]

Paraguay puso a los alemanes a jugar un partido de copa libertadores.

[M de Moli @samumolina28]

@cryptobeast Quero disso

[Jesús Fernández-Villaverde @JesusFerna7026]

Smartphones are not the explanation for the recent decline in fertility. Instead, they are an accelerator of deeper forces already at work.

Let’s start with the facts. Fertility is falling almost everywhere: in rich, middle-income, and poor countries; in secular and religious countries; and in countries with high and low levels of gender equality.

The decline accelerated around 2014. So, no country-specific explanation will work unless you are willing to believe that 200 distinct country-specific explanations arrived at roughly the same time.

Smartphones look like the obvious candidate: the first iPhone was released in 2007, and global adoption has been astonishingly fast.

Economists understand the first major decline in fertility in advanced economies, from 6 or 7 children per woman throughout most of human history to about 1.8, that occurred between the early 1800s and roughly 1970, well before smartphones. The main drivers were a sharp fall in child mortality (effective fertility was rarely above 3 and often close to 2) and the shift from a low-skill, rural agrarian economy to a high-skill, urban industrial one. We have quantitative models that fit these facts well.

Country-specific factors mattered too, of course. Proximity to low-fertility neighbors accelerated Hungary’s decline, while fragmented landowning structures accelerated France’s. But these were second-order mechanisms.

This is also why most economists long considered Paul Ehrlich’s doom scenarios implausible. We forecast that fertility in middle- and low-income economies would follow the same path as in the rich, probably faster, because reductions in child mortality reached India or Africa at lower income levels (medical technology is nearly universal, and most gains come from handwashing and cheap antibiotics, not Mayo Clinic-level care). Much of what we see in Africa or parts of Latin America today is still that old story.

But in the 1980s, a new pattern appeared. Japan and Italy fell below 1.8, the level we had thought was the new floor. By 1990, Japan was at 1.54 and Italy at 1.36.

This second fertility decline began in Japan and Italy earlier than elsewhere, driven by country-specific factors, but the underlying dynamics were widespread: secularization, an education arms race, expensive housing, the dissolution of old social networks, and the shift to a service economy in which women’s bargaining power within the household is higher. The U.S. lagged because secularization came later, suburban housing remained relatively cheap, and African American fertility was still high. U.S. demographic patterns are exceptional and skew how academics (most of whom are in the U.S.) and the New York Times see the world.

My best guess is that, without smartphones, Italy’s 2025 fertility rate would be about 1.24 rather than 1.14. I doubt anyone will document an effect larger than 0.1-0.2. Italy was at 1.19 in 1995, not far from today’s 1.14. The TFR is cyclical due to tempo effects, so I do not read too much into the rise between 1995 and 2007 or the decline from 1.27 in 2019 to 1.14 today. The direct effect of smartphones is not zero, but it is not, by itself, that large.

Where social media, in general, and smartphones, in particular, matter is in the diffusion of social norms. What would have taken 25 years now happens in 10. Social media are not the cause of fertility decline; modernity is. But they are a very fast accelerator.

That is why social media are a major part of the story behind Guatemala (yes, Guatemala) going from 3.8 children per woman in 2005 to 1.9 in 2025. Without them, Guatemala would also have reached 1.9, just 20 years later.

Modernity, in its current form, is incompatible with replacement-level fertility. By modernity, I do not mean capitalism: fertility fell earlier and faster in socialist economies than in market economies. Socialist Hungary fell below replacement in 1960, and socialist Czechoslovakia in 1966 (both experienced small, short-lived baby booms in the mid-1970s). By modernity, I mean a society organized around rational, large-scale systems and formalized knowledge.

Countries will not converge to the same fertility rate. East Asia is likely stuck near 1, possibly below, given its unbalanced gender norms and toxic education systems. Latin America faces the same gender problem plus weak growth prospects, so I expect something around 1.2. Northern Europe has more egalitarian family structures and might hold near 1.5. The very religious societies are probably the only ones that will sustain 1.8.

All of this could change with AI or changes in population composition. We will see. But on the current evidence, deep sub-replacement fertility is the “new new normal.” Unless we reorganize our societies, better learn to handle it as best we can.

[M de Moli @samumolina28]

(La foto dice que la suma de todas las diferencias de gol de todos los equipos, es 0)

[M de Moli @samumolina28]

Esto es la muestra de que la cantidad de datos no debería asustarlo a uno y que la mayoría de datos pueden converger a un valor. Es un cálculo simple, que muestra lo perfecto de la mate.

Aplica para todas las ligas, incluso con fechas adicionales como la de clásicos en Colombia.

[M de Moli @samumolina28]

Iván Cepeda no, pero al resto que se los lleven para donde se los tengan que llevar, malparidos.

[Diego A. Santos @DiegoASantos]

Gustavo Petro, Iván Cepeda y Danilo Rueda deben ser juzgados por entregarle el poder al Clan del Golfo. Ni perdón ni olvido. Criminales.

[Mr Julian @Julianvalencla]

Medellín vota derecha y es una de las ciudades de mayor desarrollo de Suramérica, Cali vota izquierda y es de las ciudades más inseguras y de menor avance de Colombia, teniendo a TQ, Colombina,Carvajal, imbanaco, Valle del Lili etc.

Algo nos debe decir eso.

[Luis Angel @luisangelgd]

No es cliché, es verdad:

Si Antioquia resiste, Colombia se salva. En Antioquia, Abelardo le sacó 1.052.153 votos de diferencia a Cepeda: más de 4 veces la diferencia nacional.

Te amo, Antioquia 💚. Tierra de arrieros, montañas, trabajo, fe y pujanza. Hoy salvamos a Colombia 🇨🇴.

[M de Moli @samumolina28]

Al senado mi hermano

[Iván Cepeda Presidente @EstamosConIvan]

Soy Iván Cepeda Castro y en pocas horas seré SU PRESIDENTE. 🫰

[M de Moli @samumolina28]

Al fondo de la red gloria dios

[Samuel Vargas @SVargasOK]

🇨🇴 Daniel Muñoz, sobre su gol: "SOLO LE HABÍA DICHO A LUIS QUE CUANDO LA TENGA, ME MIRE".

[M de Moli @samumolina28]

@que0que Literalmente yo