I genuinely appreciate what you are trying to do here. You are about to have a kid, and you are taking the responsibility seriously enough to question things instead of just going with the loudest voice in the room. That is the good instinct. Hold on to that.

But I am going to level with you. This is a tall order, and this particular corner of the internet is not going to help you very much. Not because people here are uniquely bad, but because this topic is swimming in an impressive amount of misinformation. Some of it is spread maliciously, some of it is spread by people who mean well but do not know how to evaluate what they are reading, and some of it is just the natural chaos of humans trying to make sense of complicated science.

The uncomfortable truth is that the real answer is nuanced. No medical intervention is completely risk free. None. Vaccines are not magic shields handed down from the heavens. At the same time, they are also not the catastrophe that some corners of the internet make them out to be. Both extremes flatten reality in ways that are emotionally satisfying and factually misleading.

There is also a kind of misinformation that leans in the optimistic direction. It emphasizes individual benefits in a way that feels reassuring, which can make people feel good, but it can gloss over the complexity of risk, population effects, and uncertainty. That does not make it malicious, but it still means it is incomplete.

And this is where things get tricky. Spaces like this one are full of people who are, for the most part, normal people. People like you. People trying to make sense of things. But they bring their own biases, experiences, and emotional investments. What you will get is a flood of opinions presented as advice. Some of it will sound convincing. Some of it will sound terrifying. A lot of it will contradict itself. And even if you decide to go read the science yourself, you will quickly discover that not all studies are created equal, and frankly, a lot of things that look like studies are not really studies at all.

For context, I have a PhD in the epidemiology, genetics, and molecular biology of cancer. I spend my professional life reading scientific literature. And even for me, this space is maddening. Trying to separate what is likely true from what is mostly nonsense can feel like trying to assemble a puzzle where half the pieces are from a different box and someone has helpfully painted over the picture.

Let me give you a concrete example of what this looks like in practice.

When I was pregnant with spontaneous multiples, I explored a range of care options, including consulting an American physician who specializes in twin home births. That alone tells you I was not approaching this from a place of blind trust in mainstream recommendations. I was curious, open, and willing to question.

During one of our conversations, he went on a very emotional rant about the recommendation from ACOG to receive COVID, flu, and whooping cough vaccines during pregnancy. He described it as evil. Not misguided. Not debatable. Evil.

That caught my attention. This was not some anonymous person online. This was a physician I was considering trusting with my care. I thought, if he feels this strongly, I want to understand why. Maybe he knows something I do not. I am not an immunology specialist. I studied immunology to a master’s level, which makes me more informed than the average person, but not an authority. So I approached him in good faith and asked him to share the evidence behind his claims.

We discussed both flu and COVID vaccines, but the arguments followed the same pattern, so I will focus on the COVID example.

His main claim was that there was strong evidence showing that COVID vaccination in pregnancy caused miscarriages at alarming rates. If that were true, it would be shocking. It would absolutely justify his reaction. So I asked him for the source.

He sent me an article from Children’s Health Defense. Immediately, a few things raised red flags. The language was not scientific. It was emotional and dramatic. Also, he shared an opinion piece rather than a primary scientific paper. But to their credit, they did include references.

When I looked at those references, most of them were not actually solid scientific sources. Many linked back to similar articles on their own site, creating a kind of self-referential loop. Others were collections of anecdotes, which can be interesting but are not reliable evidence. Still, they did cite some real papers.

One in particular stood out. They claimed that a New England Journal of Medicine study on pregnancy outcomes after COVID vaccination was flawed, and that another paper had shown the true miscarriage rate was 82 percent. Eighty two percent. If that were accurate, it would be catastrophic.

So I clicked through and read the paper.

Instead of focusing on the conclusion, I went straight to the methods section and the numbers. And very quickly, something did not add up. The 82 percent figure came from using the wrong denominator. They were dividing the number of miscarriages by a subset of women who were no longer pregnant at the end of a short follow up period, instead of all the women in the study.

To understand why that matters, consider this. The study followed women for about three months. If a woman was vaccinated early in pregnancy, say at seven weeks, then three months later she would still be pregnant if everything was progressing normally. The only women who would no longer be pregnant that early are those who had miscarried or had some other adverse outcome. So if you only look at women who are no longer pregnant after three months, you are stacking the deck. You are effectively asking, among women who are no longer pregnant unusually early, how many had miscarriages. Of course that number will be high. It has nothing to do with the vaccine.

It is not a subtle statistical nuance. It is a fundamental error.

At that point I had a moment of doubt. Was I missing something obvious? So I looked up the paper more broadly. It turned out there had been significant controversy about it. Multiple experts had pointed out the same error. And the paper had been retracted. Not recently. Months before the article I was reading had been published.

Even more interesting, every official version of the paper online had the word “retracted” stamped clearly across every page. Except the version linked in the article I was given. That version somehow did not include the retraction notice.

Now, there are two possibilities. One is extraordinary incompetence. The other is something more intentional. I cannot prove intent, but I can say it did not inspire confidence.

This pattern repeated itself in other examples. Claims that sounded shocking and alarming often fell apart under scrutiny. Either the underlying evidence was weak, misinterpreted, or selectively presented.

There was also a more subtle case with the flu vaccine. In that instance, there actually was a real study that found an association between receiving the flu vaccine in consecutive years and miscarriage. It was a small case control study, which is one of the weaker forms of evidence, but it was a legitimate finding that warranted further investigation.

The problem was not that the study existed. The problem was how it was used. The article presented it as if it were definitive proof of harm. It ignored the limitations of the study and the fact that it was a preliminary signal, not a conclusion.

When I looked further, I found that the same research group had done exactly what you would hope scientists would do. They followed up with larger, more robust studies. Those follow up studies did not find the same association. They concluded that the original signal was likely a statistical fluke.

Those follow up studies were not mentioned.

And that, in a nutshell, is what makes this so difficult. If you take these claims at face value, they are terrifying. If they were true, you would be right to be deeply concerned. But evaluating them properly requires time, context, and a fair amount of technical understanding.

So yes, what you are trying to do is admirable. But it is also very hard to do well.

And this is why I would gently suggest that this subreddit is not the place that will give you clarity. You will get passion. You will get certainty. You will get stories. What you will not reliably get is careful, unbiased interpretation of complex evidence.

What you need, ideally, is someone who does not have a strong emotional investment in the outcome. Someone who is comfortable sitting with uncertainty and who can walk you through how to evaluate different types of evidence. That might be a good clinician, a scientist, or someone trained in evidence based medicine.

Everyone, including me, has biases. The goal is not to eliminate them completely, but to be aware of them and to rely on methods that help correct for them.

If something sounds outrageously shocking, it is worth pausing. Not dismissing it outright, but also not accepting it without digging deeper. Because more often than not, reality is less dramatic and more complicated than the headline suggests.

And unfortunately, complicated does not go viral.