When women post pictures that highlight their boobs and ass on social media, (which they do all the time) they primarily want men to see how sexually attractive they are. In other words they want men to see them...
2/12
I’ve been seeing tweets from women demanding not to be treated as sex objects so I figured an exposition on the subject matter may help us all. First, let’s remind ourselves what a sex object is. In simple terms, a sex object is a person who is regarded primarily...
1/12
When women post pictures that highlight their boobs and ass on social media, (which they do all the time) they primarily want men to see how sexually attractive they are. In other words they want men to see them...
2/12
It's called thirst trap because that's exactly the effect they want to achieve. They want men to thirst for them. On a conscious and subconscious level, they want you to see them as an...
3/12
And contrary to what some would have you believe, it's absolutely normal for heterosexual men to see women they're attracted to as sex objects.
It has nothing to do with misogyny and this is proved by the fact that homosexual men see men they...
4/12
Go through the TL and you'll see tweets like "If you can't AFFORD EXPENSIVE women, stop trying to date them" They've made themselves into...
5/12
A study was made of 328 personal advertisements sampled from a major Canadian newspaper. It was found that gender differences for desired spousal attributes were consistent with...
6/12
This shows that Women are sex objects as much as men are success objects.
7/12
8/12
Women do all they can to look like sex objects, know they're sex objects and leverage their sexiness...
9/12
They know that men are primarily interested in the sexual attractiveness of a woman and do everything they can to highlight...
10/12
So a woman who flaunts her sexuality but demands not to be seen as a sex object is like a man who flaunts his wealth but demands...
11/12
More from Society
I've seen many news articles cite that "the UK variant could be the dominant strain by March". This is emphasized by @CDCDirector.
While this will likely to be the case, this should not be an automatic cause for concern. Cases could still remain contained.
Here's how: 🧵
One of @CDCgov's own models has tracked the true decline in cases quite accurately thus far.
Their projection shows that the B.1.1.7 variant will become the dominant variant in March. But interestingly... there's no fourth wave. Cases simply level out:
https://t.co/tDce0MwO61
Just because a variant becomes the dominant strain does not automatically mean we will see a repeat of Fall 2020.
Let's look at UK and South Africa, where cases have been falling for the past month, in unison with the US (albeit with tougher restrictions):
Furthermore, the claim that the "variant is doubling every 10 days" is false. It's the *proportion of the variant* that is doubling every 10 days.
If overall prevalence drops during the studied time period, the true doubling time of the variant is actually much longer 10 days.
Simple example:
Day 0: 10 variant / 100 cases -> 10% variant
Day 10: 15 variant / 75 cases -> 20% variant
Day 20: 20 variant / 50 cases -> 40% variant
1) Proportion of variant doubles every 10 days
2) Doubling time of variant is actually 20 days
3) Total cases still drop by 50%
While this will likely to be the case, this should not be an automatic cause for concern. Cases could still remain contained.
Here's how: 🧵
One of @CDCgov's own models has tracked the true decline in cases quite accurately thus far.
Their projection shows that the B.1.1.7 variant will become the dominant variant in March. But interestingly... there's no fourth wave. Cases simply level out:
https://t.co/tDce0MwO61
Just because a variant becomes the dominant strain does not automatically mean we will see a repeat of Fall 2020.
Let's look at UK and South Africa, where cases have been falling for the past month, in unison with the US (albeit with tougher restrictions):
Furthermore, the claim that the "variant is doubling every 10 days" is false. It's the *proportion of the variant* that is doubling every 10 days.
If overall prevalence drops during the studied time period, the true doubling time of the variant is actually much longer 10 days.
Simple example:
Day 0: 10 variant / 100 cases -> 10% variant
Day 10: 15 variant / 75 cases -> 20% variant
Day 20: 20 variant / 50 cases -> 40% variant
1) Proportion of variant doubles every 10 days
2) Doubling time of variant is actually 20 days
3) Total cases still drop by 50%
