Well Trump made plenty of ventilators if needs be 😂😂😂😂

Everyone that’s seen the film is saying it is worse than you can imagine. They are sick to their stomach and cancel netflix right after. It’s just awful you’re forced to have it in your library. CANCEL!

This part was EPIC!

“Mayor Giuliani we appreciate your time…”

Giuliani: Hahaha, no you didn’t. You don’t appreciate my time. You’re so phony. Gd almighty. You’re working for the Democrati… (cutoff) pic.twitter.com/DIfIVwVIWE

— Jewish Deplorable 🇺🇸 (@TrumpJew) October 7, 2020

Why are the liberal all upset at this? 99.7%? That’s nearly everyone – and why put our census workers at risk when that rate is similar to prior years.

We thank you for your utmost integrity!!!!!

So there are some nuances. A keyword is not a search term. A keyword is a grouping of search terms triggered from a set keyword. For example, KW ‘toy’ would include search terms ‘toy boat’, toy car, etc. different keywords can trigger the same search term so it’s somewhat messy data. 2) the data in the kw planner is delayed. Not real time. You will not see last weeks numbers until someone in November.

Larger advertisers have access to search term data and the terms’ attributes such as number of times a search query was made.

They can import direct from Google into a google cloud service called big query (database query not search query). Then analyze.

I can tell you enough people have searched to change their vote, that if 10% actually change their vote it would be enough to flip some states based on last years results.

We have an NDA and cannot reveal search term data explicitly. Obviously this is guarded data.

Have a nice day. But it is great that you are getting closer to the level of analysis we do.

When you thought you seen it all—lol!

wow! you’re right the trailer on youtube has 2 million DISLIKES.

I’m making a narrow point in the article.

1) That the overall death rate for all deaths is one of the lowest it’s ever been and not giving any specific reason.
2) That it’s surprising the death rate is so low being in a national pandemic emergency.

My only recommendation from this, at the very least is this:

At the very least, this data shows we need to analyze COVID-19 deaths in the context of the broader U.S. mortality rate from all causes. It appears normal deaths are being attributed to COVID-19 if the patient is COVID-19+, even if another underlying chronic cause is responsible.

We need to get a clear definition of what constitutes a COVID-19 death. Right now states and countries can really attribute anything if the patient is COVID-19+. But based on the antibodies test from Santa Clara, CA… COVID-19 is even more prevalent that previously thought. So there is ample crossover between what caused the death.

I’m really just asking for a standard definition everyone use. Once we have that and have the data behind that, we can make more conclusions. But with very weak and siloed data, it’s hard to make a lot of conclusions.

I don’t disregard any deaths. I’m looking at crude mortality (from each and every cause):

CRUDE DEATH RATE is the total number of deaths to residents in a specified geographic area (country, state, county, etc.) divided by the total population for the same geographic area (for a specified time period, usually a calendar year) and multiplied by 100,000.

I only use complete data. The CDC publishes how complete a set is. Notice I’m only using week 14 in this set. There is actually data for week 16, but week 15/16 are incomplete. I wait until the complete data set filters in and the CDC confirms it’s 100% in from all districts. After the CDC labels data 100%, there are still revisions. But, the recent historical revisions are less than 5% after two weeks.

So, yes, even before I read the post you shared… I identified the same exact issue and accounted for it in the presentation of data.

Dr. Spencer’s data model is a bit flawed. He’s using a 5-year historical average. Whenever you do a data model, you need to weight the model, at a disproportional ratio, to recent-data trends. He doesn’t do that. As it turns out, with all the attention on COVID-19, epidemiological data is being reported at a much quicker rate than the 5-year historical model suggests. We are getting more complete data quicker.

Think about it- if it was your job to provide data that the world needs, wouldn’t you devote more resources to providing it quicker? That’s what’s happening.

I work with trillions of data points, across billions of auctions a day. Identifying trends and patterns is my livelihood.

My only conclusions are this:

1) we need to do a better job at defining certain data points

a) covid -19 deaths: when do we attribute to pre-existing chronic conditions or covid-19 itself? or do we categorically assign death: covid-19 alone or covid 19 w/ pre-existing condition when looking at the death rate? uniformity will help analyze this data in aggregate.
b) death rate to DETECTED covid-19 cases is not really a metric. every state/country detects covid-19 using different methods and thus different rates are attributed to that method rather that qualities of the virus itself.

2) i find it quit surprising that in the midst of a national pandemic emergency, that stops a multi-trillion dollar economy, the chances of dying from any cause are at the lowest levels across multiple years. we deserve proper data as listed in point (1) given how the lock down effects businesses, and the livelihood of billions.

Ultimately, I’m looking for truth and am suggesting areas of further research based on surprising crude mortality rate data.

The data is emerging that we did not need to lock down. Sweden did not lock down, and the mortality rate there is lower than france and italy.

https://www.bloomberg.com/news/articles/2020-04-19/sweden-says-controversial-covid-19-strategy-is-proving-effective?srnd=premium

Sweden is currently higher than most Scandinavian nations. But since they did not lock-down, they likely hit herd immunity quicker, and will have lesser deaths down the road. While the other Scandinavian nations, when they come out of lock down, may have an increase in deaths since they are not as far along in establishing herd immunity.

Furthermore, Sweden’s economy not taking a slug to the face with a baseball bat, as other nations.

Thought experiment: If we could reduce automobile accident deaths to virtually 0 by reducing the speed limit to 15 mph, should we do it?