Friday Musings: Vaccine Coverups, Software, Football, Milestones, and More
Another potpourri post with previews of what is to come!
I wanted to start this off with a nice little badge that Substack made for me, as we did recently hit a nice milestone:
Obviously this still puts us on the small side of Substacks, but I want to honestly extend my thanks for your readership!
Even if it is small, it’s motivating with every additional person that I can reach who, presumably, is interested in what I have to say. And I’ll remind everyone here that that’s a two-way street: whether you want to write back privately (you can just reply to this e-mail) or publicly via comment, it’d be great to hear from you!
That all said, I do have a goal of hitting 250 readers by the end of the year, so please help me get the word out!
With that said, I wanted to highlight a couple relevant things from my other outlets and preview what I am working on for A Moment with Mumma.
Upcoming: The Vaccine Coverup
A good handful of you found me as a result of this piece, highlighting
’s analysis of CDC mortality data:Cancer's Great Rise - Safe & Effective #14
Last June I shared some of the Ethical Skeptic’s cancer analysis which chowed a substantial increase in cancers that started right around April of 2021. The midwits came out in (relative) force both in the comments to that piece and when I posted it to Facebook, which merited this takedown of such midwits who yell “but correlation doesn’t equal causation”
If you follow him on Twitter, you may already know this, but the CDC has decided to take their ball and go home:
I’ll share more in the upcoming full piece on this, but needless to say, this is insane for a data set that has been available for years and has broad applicability to just disappear without any real explanation.
We are quickly entering “cover up” territory, which is going to be essential because death rates are not coming back down.
For now, similar analysis is doable using Wonder data and adjusting it to the data we do have from this source. However, who knows how long that will last before the CDC makes the Orwellian claim that “less access to real, raw data is the only way to fight misinformation,” or something like that.
An Aside: Meanwhile at the CDC
Meanwhile, the head of the CDC is… quoting Mean Girls to pimp flu shots:
And of course, she is pimping the updated Covid “vaccine” as well, despite strong evidence of negative efficacy and historically alarming safety signals.
There are really only two options here, for the illustrious CDC director. She is either interminably mentally incapacitated, or she is actively working against the best interests of the American people.
I’m not sure which one it is, but will keep trying to figure it out!
Upcoming: The Covid Vaccine Compendium
Someone asked me recently to try to summarize the full case against the Covid vaccines.
As many of you will know: this is a tough task! I’ve probably written over 15,000 words on the topic, which is a tiny fraction as compared to what I’ve read on the topic.
But with the CDC determined to pump Pfizer’s stock price with the latest round of “booster shots” or whatever they are calling these things, it feels essential to do so!
As such, I am slowly trying to aggregate the various sources and organize all of it into a “tour de force” of sorts to make a coherent, one-stop take down of the entire Covid Vaccine narrative.
I’ll give an easy hit here to start it off: the most comprehensive study on the vaccine’s impact on transmission shows that *drumroll please*
The more shots you get, the more Covid you get:
That is just the start of the house of lies, but the evidence is damn clear. We see statistically significant differences (the error bars do not overlap by the end of the study) and a dose dependence (4 doses is worse than 3, which is worse than 2, which is worse than 1, which is naturally worse than 0).
Put simply: the odds of seeing these two things randomly is incomprehensibly close to zero. In other words: we can be sure that this is a real effect.
So stay tuned for the full piece as we hit about 20 other critical pieces of evidence being obscured by the Leviathan.
Elsewhere: Using Forward to Live Better
Much of my time over the past few months has been spent building Forward a personal productivity tool designed to give you one single hub to manage your habits, projects, tasks, and goals.
Check out this post I just finished up on how you can use Forward to reduce the chaos in your life!
And of course: try Forward out for yourself @ www.mumma.co/forward.
Here’s a walkthrough as well if you want to see a bit more:
For more on Forward and other tools and ways to be more productive, be sure to subscribe to the Human Optimization Project:
Elsewhere: Artificial Intelligence and Football
In a brilliant marketing move, I decided to smash together data architecture and AI along with Football, and make this blog:
Last year, I built out a system to predict the winner of NFL games. It uses about 400 data points per game and over 12 years of historical data to provide probabilities for each team to win.
Now, I have the model and data updates seamless enough that I can publish predictions each week for the coming games without too much hassle. The model is deployed!
As such, each week, I review the performance of the model (if gambling: +78% year-to-date), share the picks for the coming week.
Now, perhaps where I went wrong is that in addition to that, I include some detailed talk about the data engineering and data science techniques that I used to build this system upfront. It may be turning out that this intersection of data science and NFL is a bit small, but honestly if you like either one please subscribe (just enter your e-mail above)!
And there’s more I’ve got planned, but that’s probably enough for now. Have a great weekend!