CodyyyGardner Categories Society
Celebrities and this public showcasing of being nice.
You and your brand are evil!
Order it! I\u2019ll pay for you.
— Lilo Aderogba \U0001f33a\U0001f33a\U0001f33a (@Liloaderogba) January 6, 2021
Happy new year \U0001f33a \U0001f495 https://t.co/811ncG9ebY
I know this might not even blow up cos I have very little followers but I will just call on few sensible people I've noticed on here @SMiTHiE___ @Shawnifee @SavvyRinu. Your retweets would go a long way into creating awareness of hoe some of these so called celebrities are evil.
August last year, I messaged Lilo on Twitter here trying to secure a graphic designer Job on her team cos I really saw she lacked that and needed one. Fastfoward, she replied and told me to send my portfolio to her mail which I did.
I knew she was going to be really busy...
Cos it was just like few weeks after she left the house. She responded after a week or so and I started talking to someone on her team and she told me they'd just want to try me cos they have so many other people trying to secure that position on the team so they gave me a test..
They told me to make a design of a brand she's working on launching which I did and Lilo really liked it and approved it.
I was really excited as I'm just a student and just trying to make money for myself, I put into so much effort designing just trying to secure a spot....
@RepSwalwell 2/ Comrade Kushnerov, Istanka/Axe Murderer Barbie and Psycho Killer in Chief Trump in terms of their cheap, shabby, tawdry, sordid, rancid, hinky, skeezy, sleazy, scaggy, scumbag-y financial ties are more Chinese than a fortune cookie.
@RepSwalwell @anglicanrichard
3/
Kushners' $400 million take from a major Chinese investor comes just as Xi Jinping arrives for state visit w/POTUS: https://t.co/n2Ycde63IV pic.twitter.com/RxJ6EfLYtS
— Tim O'Brien (@TimOBrien) March 13, 2017
@RepSwalwell @anglicanrichard @Khanoisseur
@gdeguzman99 @FreeTheWH @TheNakedParty
2. Keep an eye on this other Anbang-Trump adviser Schwarzman deal Obama blocked\u2013will Trump unblock it? @TimOBrien https://t.co/WiPWU7Y4rq
— Khanoisseur \U0001f436\U0001f926\U0001f3fb\u200d\u2642\ufe0f\U0001f30e (@Khanoisseur) March 14, 2017
@RepSwalwell @anglicanrichard @Khanoisseur @gdeguzman99 @FreeTheWH @TheNakedParty
3. In March Chinese-state linked Anbang and Trump adviser Schwarzman did a $6500000000 deal for 16 hotels\u2013Obama blocked one of the hotels pic.twitter.com/uWuakM0ljH
— Khanoisseur \U0001f436\U0001f926\U0001f3fb\u200d\u2642\ufe0f\U0001f30e (@Khanoisseur) March 14, 2017
(I'm not going to do that here but I am going to show you how easy it is.)
I'm angry at everything right now, including the new the latest problematic article from C&RL.
— Dr. Kristin Briney (@KristinBriney) January 6, 2021
So I think it's time we talked about C&RL's history of publishing identifying information in articles.
(Yes, @LibSkrat I'm finally telling this story)https://t.co/JPCks3tohr
To do that, let's talk about the IPEDS data set. IPEDS is a US database that contains a range of information about US universities, such as enrollment, test scores, graduation rates, etc.
One notable data table shows graduated students by major and ethnicity.
(FYI, here is the IPEDS data: https://t.co/K4OwsyLLsE It's an open database so you can explore at your leisure.)
Back to the "Completions" table which shows ethnicity by major. This happens to line up with the n=1 from the offending article which identified a student by their ethnicity and major.
Sorry, the n=1 was year in school and ethnicity but I've now used the IPEDS data to find out their major. Linking datasets on minority populations is very very powerful.
Excellent question!
"Risk/reward ratio" is a term used in investing, but it's rarely quantified like one would quantify a debt/assets ratio. Risk/reward ratio is usually used more intuitively.
@FrankPeelen I\u2019m curious what you think is a good risk/reward ratio and how do you generally calculate that to help inform your decision to buy options? Appreciate your insights!
— Dianne Francisco (@dfrancisco910) December 30, 2020
2/14
Usually people will use all their knowledge to make guesstimates about an investment like:
- 20% chance to go bust
- 20% chance to break-even
- 40% chance to double
- 10% chance to 4x
- 10% chance to 10x
And then state "for me, this is good from a risk/reward standpoint".
3/14
That last statement will be different for each individual though. For some people the investment laid out above may be great from a risk/reward standpoint, because of the high expected ROI. For others, it may be terrible because of the 20% chance to go bust.
4/14
Investing is much more complex than just making money and maximizing returns, and investment strategies should differ from individual to individual. If this is news to you, I strongly suggest you read through the first section of this blog
5/14
The final section of the same blog post goes into depth on $TSLA call options, and how I go about evaluating them. There is even a subsection called "The Risk Reward of Call Options" that should answer a lot of your questions.
Did you choose tech because it pays well, or because you have a genuine interest?
— Warren Day (@warrenjday) January 2, 2021
Look, if you're not working through IT ticket queues or answering pages or shipping apps for free without any health insurance or monetary support, then you're a huge poser and lack real *passion* for tech
You know who works out of passion and not for money? Teachers.
Also, being *passionate* about something doesn't mean you're good at it! And you can be excellent at something while having other interests and motivations.
Because that's really what this is all about. When a tech person asks about passion, they think the amount of passion equals the amount of competence. And *their* passion makes them more competent than other people.
Except that's not true.