With racial tension erupting again, parents may be wondering the appropriate age to discuss what kids see in news accounts or in protests at sporting events. 

Psychologists believe that some infants are aware of race and children are capable of thinking about all sorts of complex topics at a very young age. They must, because they see older, bigger people doing things that may seem almost magical, and it becomes important to make sense of their world and so they will come up with their own ideas about how things work. But if they only see news on television, with two sides rioting and committing violence in the name of opposing the others' fascism, the ideas kids come up with may be inaccurate or even detrimental.

The false vacuum collapse is about a remote possibility, not just billions of years in the future, so far in the future that all the stars in the night sky have run out of fuel, long before.

There is no realistic possibility at present, or for billions of years, and it is of no concern.

Text: Can’t be here (instability)
Can’t realistically tunnel for billions of years even without new physics (meta-stability)
May be here Could still be absolutely stable with present physics (Absolute stability)
Many ways we may be here (lots of physics still to understand) (Absolute stability)

You've probably gotten a summer cold, perhaps even the flu, even though the weather is warm.

SARS-CoV-2, the 2019 form of coronavirus that caused the COVID-19 pandemic, is in the same family as the common cold, so it is correct that heat will kill it, but just like colds and flu, weather is not a magic bullet.

Some do believe that with summer heat social distancing means less but that isn't reliable. False confidence can have adversely shaped risk perception and put people you know in the .03 with devastating risk factors in greater jeopardy.

People often adopt vegetarian or even vegan diets because they are told it will make them healthier, but the same epidemiological correlation that tried to link butter with heart disease claimed trans fats would prevent it, and now statistical links claim just the opposite. 

Muons are very special particles. They are charged particles that obey the same physical laws and interaction phenomenology of electrons, but their 207 times heavier mass (105 MeV, versus the half MeV of electrons) makes them behave in an entirely different fashion.

For one thing, muons are not stable. As they weigh more than electrons, they may transform the excess weight into energy, undergoing a disintegration (muon decay) which produces an electron and two neutrinos. And since everything that is not prohibited is compulsory in the subnuclear world, this process happens with a half time of 2 microseconds.

Researchers are on the hunt for a COVID-19 vaccine to eliminate the need for mask wearing and current limits on interpersonal gatherings (except protests), but a new model says it still may not help the world exit a lingering economic depression.

One problem with studies that create an outcome and then find data to support it is they don't have real world application. International Agency for Research on Cancer epidemiologists, for example, have been caught creating a desired warning label for chemicals and then hand-picking studies to support that goal - the opposite of what scientists do. Harvard TS Chan School of Public Health is frequently criticized for data dredging, where they take questionnaires with so many foods and outcomes they are sure to be able to link something and claim it has statistical power.

Yet in the real world, weedkillers don't cause cancer, neonicotinoids don't kill bees, and there are no "miracle vegetables." 

The number one cause of traffic jams in larger U.S. cities is high occupancy vehicle (HOV) lanes, which were created by government to force people into carpooling to prevent traffic jams. It did not work, nor did pretending single-use electric cars were carpools, because blocking off 25 percent of the road for 6 perfect of cars makes no sense and people did not change jobs to be able to work in the same factory in the same town, the way it was possible 60 years ago.

Epidemiologists assured us S-shaped curves would be the case for COVID-19, but many countries had decreases of infection numbers "social distancing" and a linear rise of infection curves after the first peak.

A new paper offers an explanation for the linear growth of the infection curve.

Traditional epidemiological models required so much fine-tuning of parameters that they became scientifically meaningless. Linear growth, with an R number at 1, in the epidemiology models that were being used would have to mean reducing contacts by the same exact and constant percentage. That was never going to happen outside the world of statistical hope.

There are disparities in many fields of academia; physics has fewer women, for example, while psychology has fewer men. Some contend that is due to discomfort in not having equal representation.

But fewer members of the same sex is assuaged if there is more money, and that is the case for female academic surgeons. They are outnumbered by men but get more NIH funding than men do. They get nearly 50 percent more R01 grants.