My Work – Page 7 – Coffee Spoons

Covid Update: 6 July

In trying to limit my Covid-19 updates to Monday, bank holidays definitely affect the schedule. For my international audience, that meant Monday was a day of no posting. It also meant that some states—Illinois—were not reporting data. Add to that Illinois had already stopped reporting data on Saturday and Sunday, I wanted to wait until we had Tuesday’s data before putting it all together. And so here we are.

Last week I discussed “divergent patterns at the margins”. We saw some states continue their progress in decreasing the numbers of new cases with falls in their seven-day averages. You could group the tri-state area in this category. Then in the other group we had Virginia and Illinois where the seven-day average had begun to rise.

New case curves for PA, NJ, DE, VA, & IL.

In the week since, this pattern largely held the same. Both Virginia and Illinois continued to see rising numbers of new cases. Compared to 20 June, before this pattern emerged, Virginia’s seven-day average sat at 129 new cases per day and Illinois was just slightly worse at 156. Yesterday those numbers were 180 and 328, respectively. A far cry from an emergency, yes, but also not ideal.

What about the tri-state area? Well we can now lump Pennsylvania and Delaware in with Virginia and Illinois since both states saw a rise in their seven-day averages. Back on 28 June Pennsylvania sat on an average of 177 new cases per day and Delaware was at 19. Yesterday those numbers were 181 and 27, respectively.

The difference here is that in both Pennsylvania and Delaware this recent rise is still below the numbers from 20 June. On that date Pennsylvania’s seven-day average was 261 new cases per day and Delaware’s was 28. So it’s not great, but it’s still not bad either.

How about New Jersey? The Garden State continues to see declining numbers of new cases. From the 20th to the 28th to yesterday the average has fallen from 179 to 176 to 162. Certainly not dramatic, but it’s progress nonetheless.

With deaths we saw broad and general progress, however, so that’s good.

Last week I mentioned how I had hoped we would see Pennsylvania’s seven-day average of deaths slip into the single digits. Instead it had climbed higher. Well, Pennsylvania finally fell into the single digits and rests at 5 deaths per day.

When we look at the remaining states we see good news across the board. In Illinois the seven-day average fell from 9 to 7 deaths per day. In two states the numbers fell by half. New Jersey fell from 8 to 4 and Virginia went from 6 to 3. Finally, Delaware now averages just 0.1 deaths per day.

I don’t have the data on vaccination, because there are some holes and I want to see if I can fill that data out. But in the three states we track, we are talking about less than a percentage point increase in fully vaccinated people over the course of over a week. That continues to be not ideal.

Credit for the piece is mine.

Yep, Still Hotter

Like I said yesterday, I wanted to compare cities, surprise, Philadelphia vs. Chicago. And so with some extra time I was able to finish this graphic that took the data from Climate Central to compare the two cities.

What you can see below is that Philadelphia has seen more significant temperature growth in both summer highs and summer lows. And, importantly, the increase in low temperatures, i.e. nighttime, has been greater than that of daytime highs. That means that we have less of an opportunity to cool down after a hot summer day, adding stress to the system.

Chicago on the other hand has seen less overall growth, though it’s still present. And there too we see the same pattern of greater increases in low, i.e. nighttime, temperatures than of daytime highs.

It’s remarkable to think that the flat where I lived seven of my eight years in Chicago had no air conditioning unit in the bedroom, only in the living room. It was, of course, an older concrete building from the 1960s/70s when, as the chart above shows, nighttime temperatures didn’t really require air conditioning.

But like I said yesterday, I’m just glad I’ve been able to crank the air conditioning the last several days.

Credit for the piece is mine.

Covid Update: 28 June

Technical difficulties prevented me from posting yesterday morning. But we’re back today and even though it’s a Tuesday, I wanted to begin the week with a post about the current status of Covid-19 in Pennsylvania, New Jersey, Delaware, Virginia, and Illinois.

Broadly speaking, things continue to improve. I don’t have all the vaccination data plugged in yet as I have to admit that as life begins returning to normal the time considerations of keeping track of Covid is not always insignificant. But I do at least have the new cases and deaths to look at and compare to last week.

When we look at new cases, we can see some divergent patterns at the margins.

In the tri-state area, new cases continue to fall. Pennsylvania reported just 104 new cases yesterday and its seven-day average fell to 177. That’s great news. And in New Jersey, the daily new cases fell to 104 and the average to 176. And in Delaware the daily number was just 18 and the average 19.

On the other hand we have Virginia and Illinois. First, I should note that for the second straight weekend, Illinois did not report data. I think we can begin to assume this will be the new reporting schedule moving forward. Last week that impacted the seven-day average, but now that it is a periodic event we can see it accounted for in the average of 248 new cases per day.

The issue is that 248 is greater than last week’s average of 233 of the averages. In other words, there is some indications the virus is spreading once again. Though, the week-to-week numbers offer a slight hope. Last Monday we had 755 new cases—keeping in mind that no new cases were reported Saturday and Sunday—and yesterday 747. That is down, though not a lot. We will need to keep an eye on Illinois’ data and how it progresses through Friday.

In Virginia we see a similar pattern as that of Illinois. Week-to-week, yesterday’s number was just 88 new cases and last week’s 116. That’s good. However, a look at the seven-day average shows some reasons for concern. Last week we were discussing Virginia’s fall to 129 new cases per day. But as of yesterday the average has climbed back up to 165. And that’s not a one-day jump. Instead since that nadir of 129, the seven-day average steadily climbed each day last week. That suggests new cases may be spreading in Old Dominion once more. But let’s wait one more week before we begin to become overly concerned as 165 is still lower than the month’s current average of 169.

Deaths present us with the opposite pattern, however.

Last week we looked at new lows for the tri-state area whilst Virginia and Illinois saw slight increases. I even suggested that we could see death rates in Pennsylvania slip into the single digits.

Well instead we saw slight increases in the death rate in Pennsylvania, New Jersey, and Delaware. Again, nothing massive. But on 20 June we had an average of 11.6 deaths per day in Pennsylvania and yesterday the average sat at 12.4. Not huge, and within a rounding of being the same number, but still an increase. Delaware had been at 0.6 deaths per day, so an increase to 1.6 is an increase, but there’s very little room left to improve when your average falls below 1 per day.

In New Jersey we saw perhaps the most concerning rise, though again still slight by comparison to the entirety of the pandemic. The average last week sat at 5.6 deaths per day and we enter Tuesday at 7.6. That is still lower than the numbers three weeks ago, but it’s a rise nonetheless. Like with the new cases, we will want to watch this week to see how the numbers progress.

I don’t have any graphics or tables to present for vaccinations, but the numbers we do have show little to no progress in full vaccinations over the last week. Week-to-week, Pennsylvania, for example, saw an increase of 0.77 percentage points, or only 0.11 percentage points per day.

Now Pennsylvania’s fully vaccinated population rate sits at just a tick under 48%. Not bad. But Virginia is at 50.5%. And when last reported Illinois was 47.3%. We know that herd immunity, which we need to really starve out the virus, is probably above 75%—though likely higher with more transmissible variants of the virus—and we have currently failed to achieve that number.

That’s sad.

To bring my genealogical interest into this conversation, you only need to look to about 100 years ago when our ancestors did not, generally speaking, have access to vaccines. There was a reason people feared becoming ill, you were far more likely to die. But vaccinations eliminated the worst of the worst diseases and at the time people flocked to become vaccinated, recognising that they did not want to live in a world of mumps, measles, smallpox, or polio. If many of our ancestors were alive today, I believe they would be shocked at our society’s broad refusal to be vaccinated.

Biden’s English Ancestry Revisited

Last week I posted about an article in the BBC on the English ancestry of American president Joe Biden. And these types of article are a bit pro forma, famous person has an article about their personal ancestry with a family tree attached. Interestingly, this article did not, just the timeline I mentioned and a graphic as part of an aside on the declining self-identification as English-American.

And that, normally is it. Perhaps the article comes out with a few revisions upon the famous person’s marriage, birth of children, and more rarely death, but that is it. Yesterday, however, the BBC posted a follow-up article about an English family claiming kinship with Joe Biden. This article, however, included a family tree of sorts.

This isn’t a family tree in the traditional sense, I would argue it’s the sort of chart genealogists would use to highlight two parties’ relationship to their most recent common ancestor (MCRA). But this chart does something odd, it spaces out the generations inconsistently and so Joe Biden appears at the bottom, aligned with the grandchildren of Paul Harris, the man at the centre of the story.

If you compare the height/length of the lines linking the different generations you can see the lines on Biden’s side of the graphic are very long compared to those on the Harris’ side. This isn’t technically incorrect, but it muddies the water when it comes to understanding the generational differences. So I revisited the design below.

Here I dropped the photographs because, primarily, I don’t have access to them. But they also eat up valuable real estate and aren’t necessary to communicate the relationships. I kept the same distance between generations, which does a better job showing the relationship between Joe Biden and Paul Harris, who appear to be actual fifth cousins. Joe is clearly at a different level than that of Paul’s grandchildren.

I added some context with labelling the generational relationship. At the top we have William and James Biden, assuming they are brothers, listed as siblings. The next level down are first cousins, then second, &c. Beyond Paul, however, we have two additional generations that are removed from the same relationship level. This is where the confusing “once-removed” or “twice-removed” comes into play. One way to think of it is as the number of steps you need to take from, say, Paul’s grandchildren, to get to a common generational level. In their case two levels, hence the grandchildren are fifth cousins to Joe Biden, twice removed.

These types of charts are great to show narrow relationships. Because, if we assume that up until recently each of the generations depicted above had four or five children, that tree would be unwieldy at best to show the relationship between Paul’s family and Joe Biden. If you ever find yourself working on your family ancestry or history and need to show someone how you are related, this type of chart is a great tool.

Credit for the original goes to the BBC graphics department

Credit for my remake is mine.

Covid Update: 20 June

So today’s post will be a little bit shorter than usual. The big reason is probably good, but also worth addressing. States are increasingly less reliable about their data. For several weeks I have mentioned that Philadelphia had not been updating their vaccination data. Last week or two weeks ago I noticed a small line of text had been inserted saying they were ramping down reporting to just two days per week. That’s unfortunate, because Philadelphia County represents 1/9 of Pennsylvania and that can make a significant impact on the Commonwealth’s total numbers.

But this week we have Illinois. There’s been no update since Friday and it’s not clear if this is due to a glitch, or given the coincidence, a change in reporting schedule that omits weekend data updates. Not reporting for a weekend is not a big deal, as states often have to perform back-end server maintenance or clean up data and the best time for that is the weekend. But heretofore, Illinois had been the most reliable state in terms of reporting data.

There was one thing I wanted to address this week, but the lack of Illinois data makes that tricky. So I may have to wait and maybe do it next week or later this week.

Anyway, the data below is not quite as up-to-date for Illinois, but we’ll see how the Land of Lincoln addresses the issue probably today.

Otherwise, the numbers are good. Yes, the downward slopes are shallowing out and that is increasingly obvious, but there’s increasingly less room to drop. Pennsylvania, for example, last week was just over 400 new cases per day, but the seven-day average now sits at 261. Illinois last week sat at 336, but as of its last update, that was down to 237. Virginia’s decrease was smaller, from 143 to 129, while Delaware fell from 33 to 27.

Only in New Jersey have we seen the seven-day average rise, from 168 to 179. This was not a one-off spike, however. As the delta variant takes hold in the United States, the variant brings increased ease of transmission and more severe effects for younger populations, the population group last to vaccinate and increasingly seen as not willing to vaccinate. Is this driving the slight uptick in New Jersey we saw last week? It’s too early to say.

But it serves as a reminder to everyone, please, if you haven’t already, get vaccinated.

Deaths now appear to be dropping once again across the board.

Last we discussed Pennsylvania bottoming out around that 18 deaths per day level. After a week of declines, that average is now down to just under 12 deaths per day. If we see continued progress, perhaps this time next week I can be writing about the Commonwealth’s seven-day average dropping into the single digits for the first time since April 2020.

Illinois also looked like it was slowing, but again, the lack of data is making it hard to say one way or another. But at last report, the average was down to 14 deaths per day.

Last week we also discussed a slowing rate in New Jersey, and that continued to slow, but still continued to fall and deaths are now at 5.6 per day. And after a rise I noted last week, Virginia is back below double digits and at 6.3 deaths per day.

Delaware actually managed to hit 0.0 deaths per day for a stretch of two days last week as it went a week-plus without a single Covid-19 death. It has had a few reported over the weekend and so that number is up, but still below 1 as we head into the week.

Vaccinations remain the slowing curve that we saw last week.

Thankfully we can see Virginia is now approaching and, hopefully, can cross the 50% fully vaccinated rate by the end of the week. Pennsylvania, again, is hard to gauge. The numbers sit at 46.7%, but the Philadelphia numbers have not updated in four days, so that could add a half percentage point or, earlier in the vaccination push, more. Optimistically, however, we are looking at numbers nearing 50%.

Credit for the piece is mine.

Biden’s English Ancestry

We all know Joe Biden as the Irish American president. And that’s no malarkey. But, go back far enough in your family tree and you may find some interesting ancestry and ethnic origins and that’s no different with Joe Biden. Keep in mind that our number of ancestors doubles every generation. You have four grandparents, and many of us met most of them. But you had eight great-grandparents. How many of those did you know? And you had 16 great-great-grandparents, you likely didn’t know any of them personally. It becomes pretty easy for an ethnic line to sneak into your ancestry.

And in Biden’s case it may well be English. Although sneaking in is probably a stretch, as this BBC article points out, because his patrilineal line, i.e. his father’s father’s father’s, &c., is likely English. Of course back in the day the Irish and the English mixing would have been unconscionable, at least as my grandmother would have described it. And so it’s easy to see how the exact origins of family lines are quietly forgotten. But that’s why we have genealogists.

The article eschews the traditional family tree graphic and instead uses only two charts. The first is a simple timeline of Biden’s direct ancestors.

No, it’s no family tree, but timelines are a critical tool used by genealogists because at its core, genealogy is all about time and place. And a timeline has got one of those two facets covered.

Timelines help visualise stories in chronological order. I cannot tell you the number of family trees I have seen where people who create trees casually simply copy and paste data without scrutiny. Children born well after the deaths of parents are common. Or children born to parents in their 50s or 60s—perhaps not strictly impossible, but certainly highly irregular. And so to see Biden’s ancestors plotted out chronologically is a common graphic for those who do any work in genealogy, which my regular readers know is my hobby.

That alone would make the article worth sharing. Because, I enjoyed that graphic. I probably would have created a separate line for the birthplace of each individual, but I quibble.

However, we have another graphic that’s not so great. And once again with the BBC I’m talking about axis lines.

Here we have a chart looking at US ancestry as claimed in the US censuses of 1980 and 2000. But we do not have any vertical lines making it easy for readers to accurately compare the lengths of the various bars. Twice lately I’ve posted about axis lines and the BBC. Third time’s the charm?

We can also look at using these not as bars, but as line charts as I did in this re-imagining to the right.

First, we no longer need two distinct colours, though you could argue the English line should be a highlight or call out colour given its role in the article. Instead each line receives a label at the right and only the English line crosses any other, but given their point-to-point slope, it’s not confusing like a line chart with all years between 1980 and 2000 could be.

Secondly, the slope here of the line reinforces the idea of falling population numbers. The bar chart also shows this, but through a leftward movement in bars. The bar option certainly works and there’s nothing wrong with it, but these lines offer a more intuitive concept of falling numbers.

I also added some clarification to the data definition. These lines represent the number of people who reported at least one ethnic ancestry—at the time US census respondents could enter upwards of two. For myself, as an example, I could have entered Irish and Carpatho-Rusyn. But my own small sliver of English ancestry would have been left off the list.

Ultimately, the declining numbers of responses along with some reporting on self-identification points to the disappearing concepts of “Irish American” or “English American” as many increasingly see themselves as simply White Americans. But that’s a story for another day.

In the meantime, we have Joe Biden, the Irish American president, with a small bit of English ancestry. Those interested in the genealogy, the article also includes some nice photos of baptismal records and marriage records. It’s an interesting read, though I’m hungry for more as it’s a very light duty pass.

Credit for the BBC pieces goes to the BBC graphics department.

Credit for my reimagination is mine.

Inflating Areas

One trend people have begun to follow lately is that of rising prices for consumer goods. If you have shopped recently for things, you may have noticed that you have been paying more than you were just a few weeks ago. We call this inflation. The Bureau of Labour Statistics (BLS) tracks this for a whole range of goods. We call the the consumer price index (CPI)

Prices can vary wildly for some goods, most notably food and energy. For those of my readers who drive, recall how quickly petrol/gasoline prices can change. Because of that volatility, the Bureau of Labour Statistics strips out food and energy prices and the inflation that excludes food and energy is what we call Core CPI.

Lately, we have been seeing an increase in prices and inflation is on the rise. To an extent, this is not surprising. The pandemic disrupted supply chains and wiped out supplies and stores of goods. But with many people working remotely, many now have pent up savings they want to spend. But with low supply and high demand, basic economics suggests rising prices. As supplies increase in the coming months, however, the rise in prices will begin to cool off. In other words, most economists are not yet concerned and expect this spike in inflation to be passing in nature. But not everyone agrees.

Last week, the Washington Post had an article examining the cause of inflation for a number of industries. To do so, it used some charts looking at prices over the past two years. This screenshot is from the used car section.

I want to focus on the design of this graphic, though, not the content. The designers’ goal appears to be contrasting the inflation over the last year to that of the last two years. Easy peasy. Red represents one-year inflation and blue two-year.

Typically when you see a chart that look like this, an area or filled line chart, the coloured area reflects the total value of the thing being measured. You can also use the colour to make positive/negative values clearer. In this case, neither of those things are happening.

Because the blue, for example, starts at the beginning of the time series and at the bottom of the chart, it looks like an enormous amount of consistent blue growth. And when the line runs into May 2020, we begin to see what appears as a stacked area chart, with the blue area increasing at the expense of the red.

Another way of reading it could be that the 29.7% and 29.3% increases equal the shaded areas, but that’s also problematic. If the shaded area locked to the baseline like you’ll see in a moment, I could maybe see that working, but at this point it just leaves me confused.

Now you can use the area fill to make it clear when a line dips above or below the baseline, in this case 0%. And I took that approach when I reimagined the chart as seen below.

What we do here is we set the bottom of the area fill to the baseline. Consequently, where the chart is filled above 0 we have positive inflation, and where it falls below the 0 line we have negative inflation, or deflation.

We need to note here that the text in the original article talks about the monthly change in inflation, e.g. that used car prices have increased by 7.3% last month. That, however, is not what the chart looks at. Instead, the chart shows the change yearly, in other words, prices now vs last May. To an extent, the 29.7% increase is not terribly surprising given how terrible the recession was.

Ultimately, I don’t see the value in the filled blue and red areas of the chart because I am left more confused. Does the reader need to see how far back one year and two years are from May 2021? Don’t the date labels do that sufficiently well?

This is just a weird article that left me scratching my head at the graphics. But read the text, it’s super informative about the content. I just wish a bit more work went into the graphics. There are some nice illustrations beginning each section, but I kind of feel that more time was spent on the illustrations than the charts.

Credit for the piece goes to Abha Bhattarai and Alyssa Fowers.

Covid Update: 7 Jun

Technical difficulties yesterday. But I wanted to run the latest Covid numbers to start this week of posting, so we’re just going to use the Monday data, which is the lowest of the week since it captures the data reported by authorities on Sunday. That said, where are we?

Last week we began to see a slowdown in the rate of declining cases, though, crucially, cases were still in decline. The good news is that cases continue to decline. The seven-day averages for all five states are now well below 1,000 new cases per day, with Illinois dipping below 500. Only Pennsylvania remains above that level at 544 new cases per day.

We are no longer seeing the numbers fall by hundreds per day, most notably in New Jersey, but we remain in a race to the bottom. Unfortunately, with significant numbers of the population refusing vaccination and the near certainty of this coronavirus becoming endemic, i.e. a persistent, circulating virus, we will never reach zero. The numbers at some point will bottom out and a slowing rate of decline could indicate nearing that point.

Deaths have continued their even slower decline over the last week. New Jersey’s seven-day average fell into the high single digits for the first time since November. Virginia, which had flirted with single-digit days, has now reported a week-long run of about nine deaths per day. Delaware, due to its low population only reached double digits for most of February, but has seen a slight uptick to over two deaths per day.

The two most interesting states with regards to deaths are Illinois and Pennsylvania, for different reasons. Starting with Illinois, we are beginning to see a pattern of bottoming out. For most of the last week the seven-day average has hovered about 20 with day-to-day changes of one or two additional/fewer deaths per day. We will have to watch over the coming week whether the numbers can resume pushing downwards or if we continue to see this bottoming out.

Then we have Pennsylvania. Through the beginning of the weekend, we saw progress as the Commonwealth’s seven-day average dropped below 20 deaths per day for the first time since October. Two days ago the Department of Health reported an additional 185 deaths, but then yesterday the total number of deaths dropped by 174. I haven’t yet been able to piece together what happened, but it does make the sudden spike in the seven-day average—to 46 deaths per day—a wee bit suspect.

Finally we have vaccinations. And the news is there is no news. Over the last week we have seen almost zero growth in the number of fully vaccinated individuals in Pennsylvania (1.8 percentage points), Virginia (1.53 pts), and Illinois (2.41 pts).

Total full vaccinations in PA, VA, & IL.

If we look at where the cumulative rates remain stuck, however, we see numbers in the mid-40s, short of 2/3 the estimated herd immunity range. The flattening of the curve, indicating slowing rates of vaccination, have become increasingly pronounced. This is not the curve we want to see flattened. Ideally this slowdown would have occurred nearer the 70% range and we could have eased into the estimated herd immunity range.

That said, we are approaching 50% in these three states and numerous communities, though not all, within these states are now over 50% fully vaccinated. But the longer we have largely unvaccinated reservoirs available, the more likely it is we will see new variants emerge that could potentially evolve to be more transmissible or even more deadly.

And so for any of my readers who haven’t received their shots yet, I encourage you to please do so. They’re free, they’re effective, and they’re necessary for us to get back to some sense of normal.

Credit for the piece is mine.

Covid Update: 31 May

Last week I wrote about how new cases had maybe flattened a wee bit in their rapid drop from peaks earlier this year. But the good news is that even in where new cases declines may have slowed down, they continue to decline.

We can see the tails at the right ends are all back to declining shapes. Delaware is perhaps the most deceptive, because remember that there was the anomalous spike from late processing of earlier new cases.

I had noted that deaths had finally seen some data showing them dropping. That has held true to some degree.

Indeed, the tails at the end of each state have shown slow declines. Delaware is even near 0 deaths per day. Illinois, however, is an exception with a small increase lately.

Finally, a brief look at vaccinations.

Full vaccination curves for PA, VA, & IL.

You can see that the rate of full vaccinations has begun to slow. All three states we cover are over 40%, though all are below 45%. Pennsylvania is difficult to evaluate, however, because for the last four days Philadelphia has not updated its numbers. And as the largest county by far in the state, it’s shifts can swing the overall state numbers.

Credit for the piece is mine.

Covid Update: 23 May

Last week I wrote about how we were seeing new cases continuing to rapidly decline. This week we can say cases are still declining, but perhaps a bit less rapidly than earlier.

The charts above show that slowdown in the tail at the right of the chart. First some points to note, Delaware reported that several hundred cases had not been entered into their database, and so we saw a one-time spike midweek. But note that after the spike, the numbers continue to trend down. In other words, the rapid decline was probably a bit less rapid than we saw, but it was still a decline.

Pennsylvania’s chart has a problem of your author’s own design. Now that I’m fully vaccinated I was able to leave the flat this weekend and the Pennsylvania data wasn’t ready by the time I left on Saturday. But by the Sunday data, it was and so the 2500 new cases is probably split somehow between those days—accounted for by the seven-day average. This points to a broader question for which I do not yet have an answer: as life increasingly returns to normal, how much longer will I continue to update these charts?

I started these graphics as a way for myself to track the spread of the virus in my home state and the state where I still have a large number of friends. At the time, there were few if any visualisations out there doing this. Now most media outlets have them and my work at home led to a similar project at work. The reason I continued to make these was you, my readers here and in other places where I post this work. Your comments, messages, texts, and emails made it clear you valued the work. First, I know there are still many people left to be fully vaccinated, nearly half the population, and due to bias, some of the people most likely to follow these posts are those most likely to get vaccinated as early as possible. But please let me know, readers, if you’re still getting value out of these graphics.

But back to the data, in two of the remaining three states, Virginia and Illinois, we saw numbers continue to decline. New Jersey, however, shows a tail with a slight uptick in the seven-day average of new cases. This will be something I follow closely this coming week.

Deaths finally appear to be dropping.

Not by large numbers, no, but in Virginia and Illinois we saw declines of 5 deaths per day. Pennsylvania was even greater with a decline of 7. We are still above rates we saw last summer, but it does appear that finally we have hit the inflection point we have been waiting for the last several weeks.

Finally we have vaccinations. These charts look at the cumulative number of people fully vaccinated.

Fully vaccinated curves for PA, VA, & IL.

And in that the number keeps going up, and that’s good. But they can also only keep going up. But if you look closely at the right tail of the curve, you begin to see it flattening out as the rate of daily vaccinations begins to drop. Unfortunately we’re well below levels we think we’d need for herd immunity. But, to try and look at the positive, we’re almost halfway there and that is certainly playing a role as we can see with the rapid decline in numbers of new cases. But we need to keep trying to get more people vaccinated.

Credit for the piece is mine.