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Lawsuits claiming Ozempic, other GLP-1s led to blindness become second mass litigation over the drugs

https://www.reuters.com/legal/government/lawsuits-claiming-o...


This is from a year ago. Millions of people are on GLP-1s, there's definitely not a mass blindness that's ongoing.


Not to mention the first people on these drugs were type 2 diabetics who are the exact group that's at risk for NEON.

Think of all the things they're not gonna be at risk for, not being diabetic now.


It’s a shame that this has to be pointed out every time. People really need to engage in critical thinking and risk assessment.


The Night of Terror during the 1977 blackout in NYC led to 1000 fires, 4000 arrests, and 550 injured police.

The blackout in 2003 in NYC had no looting or violence.

The blackout in Maracaibo Venezuela in 2019 had 350 stores looted and 550+ people arrested.

The difference was the economic and social challenges in 1977 in NYC and 2019 in Venezuela. A recession and high unemployment.


Username checks out :)


I use prezi video. But it’s very clunky. So really I use Canva for creating the slides and then Prezi video.

This seems much much better.

If it’s as good or better I’ll drop Prezi and switch completely. Pricing seems good, I don’t share the same opinion of many commenters here. Perhaps because I’m on zoom all day both in 1:1 and 1:many including workshops where I’m the speaker then I might be the right ICP

Could you do a comparison with Prezi Video ?


Do you have samples of time-based cohort analysis? Most other solutions out there struggle to do the steps to generate time-based heatmaps and line graphs of cohort analysis. Averages, medians, and anything that can be done on a spreadsheet by a high schooler, GPT does well with.


In our experience Dot can come up on the fly with cohort analysis charts if the underlying data is well structured. In most cases however, some level of explanation, example or data preparation is needed for robust and repeated cohort analysis. Also for good query performance it's usually best to precalculate some things.

https://eu.getdot.ai/share/135b4e3f-2526-4d1c-ac69-d1716133f...


One of the flights is from New Jersey to Brooklyn … what a waste


Clearly you have never dealt with traffic in the Holland Tunnel.



Every time I try to do time-series cohort analysis or Lifetime LTV expandability on many of the analytics tools out there I get frustrated and up resorting to Tableau. It took mixpanel a decade to finally get some of it right but it's still too simple. I don't like tableau but it sure beats doing custom SQL queries all the time. How do you handle cohort analysis?


I'd love to learn more about what your needs are in terms of Cohort analysis and what brings you back to SQL.

We have a retention report which works for both users and companies and allows you to quickly spin up retention cohorts


This and how you actually managed the data being sent / code. Compliance won’t let me touch this otherwise


Send us a DM to @watermelontools on twitter, I will answer ASAP!


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