Sema’s Reviews > Invisible Women: Data Bias in a World Designed for Men > Status Update

Gender neutral does not equal gender equal bridging the data gap will make it harder to ignore that ignoring women’s needs and rights is OK for the greater good
In communities, the people leading advocacy and community work are often women

Women most most likely to suffer after effects of a disaster. Least safe during disaster fallout.
Homelessness is generally seen as a male problem, it is also assumed that men are likely to leave and become a refugee because of political situation. Women refugee and homeless often because of escaping violence, interpersonal, and familial

Discussion of poverty, statistics, and how we measure household money. We make a lot of assumptions about how male and female households spend their money where it goes and how we measure the poverty level they have.
Don’t ignore misogyny. Gender Data gap also leads to a general sense that women’s ambition is not appropriate, because we never actually measure it.
Governments are better when women are involved.

GDP is a construct and often does not equate to an appropriate number that takes into account time in the household work. It is not impossible to measure this – use survey time used surveys.
Zombie stat is a stat that comes out of nowhere isn’t necessarily backed up, but it’s very hard to get away from.

Prevention is also hindered by failing to account for female socialization. Example from Africa of women not wanting to cough up enough mucus to study and understand if they had a particular disease. Medical people did not explain it and so they did not do it.

Medical studies miss women
Autism rates are lower for girls because the checklist is based on white male boys.
Yentl syndrome is a woman behaving like a man/acting like a man and be behaving like a man doesn’t mean having the same symptoms as a man.

Fuel work made harder by eco friendly materials, making women less likely to adopt clean tech and thus more likely to have negative health and environmental outcomes.

Controversial. Labor agg Data full of gaps.
Most farm work considered field work, so figures miss rearing small animals, etc., and part time agriculture work.
Fuel work made harder by eco friendly materials, making women less likely to adopt clean tech and thus more likely to have negative health and environmental outcomes.

Plough hypothesis: men’s upper body strength 40-60% higher than women’s. More able to operate the plough or control the animal doing so. Not really trainable, including grip strength. Where plough is used, men dominated agriculture. Non-plough work is “stoppable” and thus more conducive to family roles.

Weird impact of unions, and almost no data on sex, so no global figures on women in precarious work. Even though in some studies, women make up 50-60% of this group. Part time and low skill work.
Means we also miss sexual violence in the work place