Still, pregnant and breastfeeding women have reported using the drug to relieve nausea, pain, and depression symptoms si

Bayes’ Theorem is my all-time favorite statistical theory. It helps us understand what seems like straightforward problems in probability with counter-intuitive solutions! Like what is the probability of having a disease if tested with a 95% accurate test? Lower than you think!

Unfortunately there’s even more problems with the new icons. Google is very conservative in how it places its new app logos within the ‘app icon box’ in iOS: Within Apple’s frame, Google creates a huge protective zone around its icons, instead of fully using the available space. In many cases this leads to Google’s icons looking out of place or even being plain unrecognisable. Just have a look at the Calendar icon in a notification:

And an analysis, published in Nature Medicine in August 2020, linked cannabis use among pregnant women to autism in their children. The study, conducted in Ontario, Canada, involved data from 3,000 women who used cannabis during pregnancy.

The bottom line is simple and very surprising for Google: The icon design system is designed so users can easily differentiate any Google app from a non Google app. It’s not designed to differentiate various Google apps from each other.

When designing ‘logos’ it’s important to understand their context. In the case of the Google Workplace logos they are mostly used as icons instead of brand logos, and should therefore be designed primarily with usability in mind.

When designing ‘logos’ it’s important to understand their context. In the case of the Google Workplace logos they are mostly used as icons instead of brand logos, and should therefore be designed primarily with usability in mind.

I think that’s the wrong approach. Users are rarely using multiple providers equally. Google users will primarily use the Google tools, therefore primarily need to distinguish between the Google apps, rather than distinguish them from say Microsoft Office apps.

I’m a big history nerd, so I have to talk about Reverend Thomas Bayes a little. Bayes was a Presbyterian minister, statistician, and philosopher in 18th century England. He formulated the titular theory in “An Essay towards solving a Problem in the Doctrine of Chances” (I vote to rebrand statistics as the “Doctrine of Chances”), trying to solve a problem of “inverse probabilities”, or given that x has happened, what can we say about y.

http://www.ectp.org/mdt/v-ideos-estrellas-orientales-v-gigantes-del-cibao-v-es-es-1fnn-1.php

http://molos.bodasturias.com/jph/videos-estrellas-orientales-v-gigantes-del-cibao-v-es-es-1srz-19.php

http://molos.bodasturias.com/jph/Video-aguilas-del-Zulia-Tiburones-de-La-Guaira-v-en-gb-1oxt30122020-.php

http://www.ectp.org/mdt/Video-estrellas-orientales-v-gigantes-del-cibao-v-es-es-1lxf-18.php

http://molos.bodasturias.com/jph/videos-aguilas-del-Zulia-Tiburones-de-La-Guaira-v-en-gb-1men-21.php

http://www.ectp.org/mdt/Video-estrellas-orientales-v-gigantes-del-cibao-v-es-es-1koq-4.php

http://www.ectp.org/mdt/videos-aguilas-del-Zulia-Tiburones-de-La-Guaira-v-en-gb-1ibq-.php

http://www.ectp.org/mdt/v-ideos-aguilas-del-Zulia-Tiburones-de-La-Guaira-v-en-gb-1vms-21.php

http://molos.bodasturias.com/jph/videos-aguilas-del-Zulia-Tiburones-de-La-Guaira-v-en-gb-1orn-12.php

http://molos.bodasturias.com/jph/Video-Leones-del-Caracas-Cardenales-de-Lara-v-en-gb-1ggk30122020-.php

http://www.ectp.org/mdt/video-aguilas-del-Zulia-Tiburones-de-La-Guaira-v-en-gb-1xkb30122020-19.php

http://molos.bodasturias.com/jph/videos-Leones-del-Caracas-Cardenales-de-Lara-v-en-gb-1nfr-23.php

http://www.ectp.org/mdt/videos-Leones-del-Caracas-Cardenales-de-Lara-v-en-gb-1fzh-.php

http://www.ectp.org/mdt/video-Leones-del-Caracas-Cardenales-de-Lara-v-en-gb-1yzp30122020-17.php

http://molos.bodasturias.com/jph/video-Leones-del-Caracas-Cardenales-de-Lara-v-en-gb-1udx30122020-8.php

http://www.ectp.org/mdt/videos-Leones-del-Caracas-Cardenales-de-Lara-v-en-gb-1ljh-6.php

http://molos.bodasturias.com/jph/Video-leones-del-caracas-v-cardenales-de-lara-v-es-vn-1ygq-22.php

http://molos.bodasturias.com/jph/Video-leones-del-caracas-v-cardenales-de-lara-v-es-vn-1tlj-11.php

http://www.ectp.org/mdt/v-ideos-leones-del-caracas-v-cardenales-de-lara-v-es-vn-1hdw-18.php

http://www.ectp.org/mdt/videos-leones-del-caracas-v-cardenales-de-lara-v-es-vn-1lpw-21.php

ity not just personally, but professionally as well. Most successful people will speak about the importance of networking and relationship building. This invaluable lesson became cemented into my psyche through words from Everett L Glenn. Through him, I came to understand one of the most beneficial aspects of networking and relationship building is finding a mentor (see this article for tips on how to do so).

A study published in JAMA Psychiatry in September 2020 found that pregnant women who used marijuana had a higher risk of their children having ADHD and/or psychotic behaviors that have been linked to schizophrenia.

There are two major camps in the field of inferential statistics, or using sample data to infer about the sampled population, Bayesian and Frequentist. The two groups think about probability in drastically different ways. For Frequentists, the definition of probability is more limited. Only random, repeatable events have probabilities and we cannot attach probabilities to hypotheses or unknown values. They argue that using prior probabilities is inherently subjective, and thus cannot be used a base for logical, unbiased understanding.

For a Bayesian, there is no issue with ascribing unknown values and hypotheses with a probability even if they happen infrequently. They argue that we should included prior probabilities because they provide more information/context than raw frequencies. [1]

Such blunder is especially uncommon for Google, which usually priorities usability above almost anything else (apart from profit?). This goes to the extent where even shades of colours are tested instead of having a designer chose. It’s really surprising Google didn’t test and spot the issues with its new icons before releasing them.

According to the new NASEM report, there’s substantial evidence showing a link between prenatal cannabis exposure — when a pregnant woman uses marijuana — and lower birth weight. There was limited evidence suggesting that using marijuana during pregnancy could cause complications and increase the risk that a baby would have to spend time in a neonatal intensive care unit.

Bayes’ is all about calculating conditional probability, i.e. the probability of one event given another event. That’s what the | (pipe) symbol denotes in the equation. So P(A|B) is the conditional probability of event A occurring given that event B occurred.