Entrepreneur / Contrarian. Previously founder/CEO of @RallyPoint. Harvard MBA, UC Berkeley Bioengineering. Marine Corps and Army Special Forces veteran.
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Mar 12, 2023 • 6 tweets • 2 min read
- My company, Stress-Free Auto Care, banked exclusively with SVB, but we're not big tech
- All ~60 employees work in auto repair shops
- We have shops in CA and are opening our first shop in TX
- SVB is not all about big tech, it's also about small businesses across the country🧵
On Friday I had less than two hours from the time that I learned of trouble at SVB to when I couldn't even log in.
I moved quickly, but many of Thursday's transfers still sit pending, even while SVB's own employee bonuses cleared on Friday.
May 12, 2021 • 14 tweets • 2 min read
The fact that governments and medical institutions were catastrophically wrong about covid and our response to it will eventually surface. It may take generations, but it will happen.
Here is one autopsy of why they all failed. nytimes.com/2021/05/07/opi…
"If the importance of aerosol transmission had been accepted early, we would have been told from the beginning that it was much safer outdoors"
Dec 19, 2020 • 4 tweets • 2 min read
I just did a deep dive into the FDA Pfizer vaccine document. This immediately jumped out:
Placebo Group
- Participants 18,325
- "Severe cases": 3
Vaccine Group
- Participants 18,198
- "Severe cases": 1
No deaths in either group. It's a difference of 3 to 1 out of 36523 people!
Here is the source document for anyone who wants to go through it themselves: fda.gov/media/144245/d…
So if just ONE severe placebo participant would have been a vaccine participant, the vaccine would have had zero efficacy in preventing severe cases? Those are some crazy stats.
Dec 16, 2020 • 6 tweets • 3 min read
Review of the media's push for hospital fear & panic.
There are 6000+ hospitals in US, and statistically some of them will have a high occupancy rate in any given year.
Taking a step back to look at the bigger picture, the numbers look quite different. Where's the full story?
How can this be with COVID hospitalizations increasing?
1. Wide COVID spread means people coming in for non-COVID issues but still count as COVID patients. 2. COVID patients replacing flu patients.
You have to look at total hospitalizations to gauge what's really happening.
Dec 12, 2020 • 5 tweets • 2 min read
Odds of death from an actual covid infection if you are under 50 is somewhere between odds of death by sunstroke and electrocution/radiation.
You won't hear this from the mainstream media, but the numbers are based on the CDC and National Safety Council, and easy to calculate.
And yes, odds of death for the elderly and at-risk is higher.... this is why our policies which try to prevent the healthy from being exposed has only shifts more of the burden to the elderly, and is therefore sadly responsible for more overall deaths.
Dec 10, 2020 • 8 tweets • 4 min read
1/ Let’s take a journey to where “science” got us in 2020.
Santa Clara County (CA) was the first in the US to lockdown. They "followed the science" with perhaps the longest lockdown in the world. Gyms never opened. Indoor dining *never* opened. How did that work out? 2/ Connecticut is the home of Yale and many intellectuals, so surely they followed the science.
Except now they have the highest per capita case count in the country. What about all those masks, lockdowns, and the all mighty #science?
Nov 18, 2020 • 4 tweets • 2 min read
1/ BREAKING: The only real world covid mask study was just published in Annals of Internal Medicine concluding the infection rate of mask vs no mask "was not statistically significant".
How will people "follow the science" now? Choose your science. acpjournals.org/doi/10.7326/M2…2/ This is my recent article on mask effectiveness; censored on platforms such as Facebook and LinkedIn.
Big Tech can try to hide facts from you, and they may succeed for a while, but they can't fool everyone forever.
Using the Internet Archives, I was able to dig up a bunch of surprising and rarely seen tweets.
Here are a few of them...
Sure all the experts can't be wrong.
Oct 27, 2020 • 17 tweets • 6 min read
Let's take a brief journey into the success (or lack thereof) of masks in preventing the spread of coronavirus.
Come with me on a tour of the wonderful world of mask mandates and their results.
Here is a preview of our journey.
(1/16)
First up is Austria. It was one of the first to require masks and it did so about 10 days after its cases began to go down. The downtrend with masks did not change.
After wearing masks for 6 months, cases are now 4x where they were when they mandated masks, and climbing.
(2/16)
Oct 7, 2020 • 5 tweets • 2 min read
Sweden: An Update
This must be getting awkward for Spain, France, and the UK locking down again. Sweden is enjoying open schools, open businesses, and no masks.
Current daily death rates compared to Sweden:
Spain 25x
France 10x
United Kingdom 7x
(1/4)
All-cause mortality in Sweden has been normal since late June.
Source: Folkhälsomyndigheten using actual back-dated death dates
"NY successfully flattened the curve" they said. @CNN
Wait 2 weeks, they all said.
Is it any wonder people lose trust in the media? Original articles below.
New York Total Deaths per Million: 1712
Georgia Total Deaths per Million: 672
A month ago IHME projected 180 deaths/day by Dec 1 and 20 deaths/day by Oct 1.
Instead by Oct 1st Sweden is at 1 death per day for the entire country. As reminder, masks are not worn and primary schools and businesses never closed at any time in the pandemic. (2/5)
Sep 29, 2020 • 11 tweets • 4 min read
This is the story about a relatively unknown woman who one day may share the Nobel Prize for her work on COVID-19.
What makes her journey remarkable is not merely her work, but the personal risks she has taken to share it with the world.
A thread about Dr. Gabriela Gomes. 1/X
On May 21st she published “Individual variation in susceptibility to SARS-CoV-2 lowers the herd immunity threshold” explaining why traditional models which assume equal susceptibility to the virus may be wrong.
In science, observations drive conclusion.
In politics, conclusions drive observations.
A thread about masks. This is not advice not to wear a mask. It is simply sharing information. Share it before twitter censors it. (1/X)
Nobody wants unnecessary deaths. Wearing a face covering isn’t that hard to do, so what’s the big deal? Why are we so divided? (2/X)
Aug 19, 2020 • 4 tweets • 2 min read
Florida was one of the last to lock down, first to re-open, and have no masks required at state level.
NY/FL are similar in pop. size and density. FL has a similar, but delayed case curve.
So far, fewer deaths in FL. Perhaps better policies on protecting the vulnerable. (1/3)
When looking at these graphs, one may also wonder if simply delaying the cases and dealing with them eventually anyway was worth the economic, societal, and collateral medical damage. (2/3)
Aug 17, 2020 • 17 tweets • 5 min read
A short thread about covid herd immunity.
First let's look at New York & Sweden. NY wears masks, closed business, closed schools, and mandates social distancing. Sweden did not but both reached near zero deaths at the same time.
Only thing in common is similar antibody levels.
We can also compare their capitals, NYC and Stockholm. Both are down to near zero deaths despite Stockholm staying completely open the entire year. The only thing they did was ban large events.
What's in common?
~15-20% Covid antibody expression.
Jul 13, 2020 • 4 tweets • 2 min read
Curious of the COVID death risk to young children and their parents? Follow these charts. First, here is COVID vs non-COVID deaths by age since February. Ideally I would start Mar 1st but the CDC gives its data in bulk from Feb 1st.
The COVID deaths are so low under 55 that you can't really see what's going on. So let's zoom in to the pre-school and school age range (1-24 years) and most parent age ranges (25-54 years) to take a closer look.
Jun 4, 2020 • 5 tweets • 1 min read
The George Floyd murder exposed how routine police abuses are.
If this was 1 cop in a dark alley then you could say it was a bad apple.
If this was 4 cops in a dark alley then you could maybe say it was a batch of bad apples. (1/5)
If the cops had turned off their body cameras and tried to hide their activity then you could maybe say they were corrupt. (2/5)