Podcast thumbnail for Baseline Observations

Baseline Observations

Claim This Podcast

by Rohit Jhawar

5.0(8 reviews)
11 episodes
Updated Weekly
Accepts GuestsHas SponsorsLocation 🇺🇸
21

Podcast Authority

Beta
PoorBased on show quality, social media presence, reviews, charts, and more
Pod Engine
Quality29
Social0
YouTube0
Engagement32

Podcast Overview

Early career musings from a clinical researcher and statistician about how economics, statistics, and technology impact our pursuit of better healthcare outcomes. Expect both basketball references and Bayesian probability.

Language

🇺🇲

Publishing Since

12/6/2024

Unlock The Full Podcast Authority Score Report

See how your podcast performs across key metrics

21

Podcast Authority

Beta
PoorBased on show quality, social media presence, reviews, charts, and more
Pod Engine
Quality29
Social0
YouTube0
Engagement32
5
Excellent Areas
1
Good Performance
13
Growth Opportunities
excellent
Episode Length
47 minutes
Performing excellently!
good
Publishing Consistency
Every 12 days

Recommendations available

Unlock the full report to see detailed tips

needs improvement
Show Notes Quality
2.0/5

Recommendations available

Unlock the full report to see detailed tips

+16 More Metrics

Unlock comprehensive insights including:

  • • YouTube presence analysis
  • • Social media reach metrics
  • • RSS compliance scoring
  • • Podcast 2.0 features
  • • Technical standards
What's Included in Your Full Report

Detailed Analytics

  • Complete breakdown of all 19 authority metrics
  • Personalized recommendations for each metric
  • Industry benchmarks and comparisons
  • Technical RSS feed analysis and compliance scoring

Growth Strategies

  • Step-by-step action plans for improvement
  • Quick wins to boost your score immediately
  • Pro tips from successful podcasters
Get your free podcast insights report

See how your show performs across every key metric

Instant delivery
No spam
Attract Better Guests

High authority scores make your podcast more attractive to industry leaders and influencers who want to appear on credible shows.

Secure Sponsorships

Sponsors look for podcasts with proven authority and engagement. Your score demonstrates your podcast's value to potential partners.

Grow Your Audience

Understanding your strengths and weaknesses helps you make data-driven decisions to expand your listener base effectively.

Reach the team behind Baseline Observations

Verified contact details for this show aren't on file yet — sign up to get notified when they land.

Recent Episodes

Episode thumbnail for How Google Deepmind is researching the frontiers of medical A.I.

November 4, 2025

How Google Deepmind is researching the frontiers of medical A.I.

<p>After a long hiatus, we return with one of our most interesting episodes yet! Arham and I were delighted to chat with David Stutz, Ph.D., whose work at Google Deepmind has been absolutely trailblazing in the field of medical A.I. </p><p>Unlike most A.I. conversations where I walk away with existential dread about going to medical school in the age of LLMs, I left incredibly inspired about the new heights healthcare may reach when A.I. is leveraged intelligently and thoughtfully. Our conversation spans from the process of building smart models to the insights David&#39;s research has found about how to best implement them. We hope you enjoy it!</p><p><br></p><p>If you want to read more about David&#39;s work, here&#39;s some of their recent preprints:</p><p><a href="https://arxiv.org/abs/2507.15743" target="_blank" rel="noopener noreferer">https://arxiv.org/abs/2507.15743</a></p><p><a href="https://arxiv.org/abs/2505.04653" target="_blank" rel="noopener noreferer">https://arxiv.org/abs/2505.04653</a></p><p><br></p><p>If you have any feedback or ideas for future guests, please send us a message at baselineobservations@gmail.com. </p>

Episode thumbnail for What companies and influencers don't tell you about their products

April 3, 2025

What companies and influencers don't tell you about their products

<p>After enough &quot;DOCTOR&#39;S DON&#39;T WANT YOU TO KNOW THIS&quot; headlines, it&#39;s about time we flip the script. Let&#39;s start here: red light therapy does not do much<strong> </strong>to fix hairlines. Trust me because...well, it&#39;s obvious.</p><p>It is impossible to practice (let alone pay for) everything you see online that’s claimed to be good for you, and we’re not even sure that it would be a good idea to try. Separating out the useful from the useless is crucial - in this episode, Arham and I talk about some of the things we’re thinking about when we try to do that. If you’re enjoying the podcast, please give us a rating! It goes a long way in helping us grow larger. We always welcome any and all feedback - leave a comment or send us an email at baselineobservations@gmail.com.</p>

Episode thumbnail for Why making medical decisions based on the best evidence is both an art and a science, featuring Dr. Anil Makam

March 20, 2025

Why making medical decisions based on the best evidence is both an art and a science, featuring Dr. Anil Makam

<p>Applying medical research at the bedside can be difficult. After all, you don&#39;t inspire the most confidence in patients when you tell them their treatments are backed by p values of 0.049.</p><p>Dr. Anil Makam schools me here on how medical evidence should actually be applied in practice. We cover how doctors can make sure that their everyday decisions are based on the best evidence, when clinical context overrides published literature, and how new technologies and data sources can provide novel value to the medical evidence base.</p><p>You can find Dr. Makam at <a href="https://x.com/anilmakam" target="_blank" rel="noopener noreferer">@AnilMakam</a> on X. If you have any feedback for the show, please leave a comment or reach out at rjhawar227@gmail.com.</p>

11 total episodes available

Deep-dive analytics for Baseline Observations

Frequently asked questions

Have a different question and can't find the answer you're looking for? Reach out to our support team by sending us an email and we'll get back to you as soon as we can.

What is Baseline Observations?

Early career musings from a clinical researcher and statistician about how economics, statistics, and technology impact our pursuit of better healthcare outcomes. Expect both basketball references and Bayesian probability.

How often does this podcast release new episodes?

This podcast updates weekly.

Where can I listen to this podcast?

This podcast is available on 6 platforms including Apple Podcasts, Spotify, and more. You can also use the RSS feed directly.

Does this podcast accept guests?

Yes, this podcast regularly features guests.

Legal Disclaimer

Pod Engine is not affiliated with, endorsed by, or officially connected with any of the podcasts displayed on this platform. We operate independently as a podcast discovery and analytics service.

All podcast artwork, thumbnails, and content displayed on this page are the property of their respective owners and are protected by applicable copyright laws. This includes, but is not limited to, podcast cover art, episode artwork, show descriptions, episode titles, transcripts, audio snippets, and any other content originating from the podcast creators or their licensors.

We display this content under fair use principles and/or implied license for the purpose of podcast discovery, information, and commentary. We make no claim of ownership over any podcast content, artwork, or related materials shown on this platform. All trademarks, service marks, and trade names are the property of their respective owners.

While we strive to ensure all content usage is properly authorized, if you are a rights holder and believe your content is being used inappropriately or without proper authorization, please contact us immediately at hey@podengine.ai for prompt review and appropriate action, which may include content removal or proper attribution.

By accessing and using this platform, you acknowledge and agree to respect all applicable copyright laws and intellectual property rights of content owners. Any unauthorized reproduction, distribution, or commercial use of the content displayed on this platform is strictly prohibited.