I’m sure someone will tell me this has been done, but having come up with a silly meme idea on Twitter, I was thinking of a game that’s a hybrid between Six Degrees of Separation and Mornington Crescent.
Title:Famous Connections
Objective: To be the last player holding all the chips
Players: Four or more
Materials: Ten chips per player, a designated referee, a timer
Setup: Each player starts with ten chips. All players contribute one chip to the kitty
Gameplay: The player deemed oldest/youngest/tallest/shortest begins the game. The starting player states a famous name from any field, real or fictional. The next player must use part of the previous name to suggest another famous name within a given timescale (30 seconds for adults 60 seconds for children, perhaps). Homophones are allowed.
Example of play: Guy Garvey, Guy Ritchie, Lionel Ritchie, Lionel Blair, Tony Blair, Toni Basil, Basil Brush…
Another example: Finger Bobs, Bob the Builder, Build-a-Bear, Rupert the Bear, Prince Rupert of Hohenzollern-Singmaringen
A successful player takes one chip from the kitty. If unsuccessful, the player forfeits one chip to the kitty. If a player repeats a name or gives a name unrecognized by all other players, they forfeit one chip. If a player cannot think of a name, they forfeit one chip.
Play proceeds clockwise until one player accumulates all chips from the kitty and from other players. If the kitty is empty, a successful play allows the player to take a chip from the next player.
Any player with no chips remaining is eliminated from the game. The referee keeps time and has final say on the validity of plays. The referee may introduce “stop names” (names that halt play), “block names” (names causing a player to miss a turn), and “bonus names” (names rewarding the caller with two chips from the kitty). The referee will have made lists of stop, block, and bonus names in advance of play.
In Andrea’s example above, there would be bonus points for coming up with Phoebe Waller-Bridge after Phoebe Bridgers as it has two “overlaps”.
Optional: Unsuccessful plays may result in amusing forfeits determined by the players.
Having spent a couple of evenings watching Starling murmurations with hundreds of thousands of birds, it was time to seek out some Aves in smaller numbers. I had a quick look in at RSPB Ouse Fen (Earith) as it was bright and sunny on Saturday morning. I was hoping to that there would be a chance that the Cranes would be showing. They weren’t but there was a Great White Egret, as ever, and a Chinese Water Deer, I had only fleeting, distant views of a solitary Marsh Harrier. I headed out to Chain Corner to check on the Whooper Swans, a few on the water and one that flew right over me.
Next on to a patch of flooded farmland, often used for fen skating historically, it had lots of waterfowl, but no Glossy Ibis there this year, despite their having bred not far from here in 2023. Then on to RSPB Berry Fen, which is just a short hop further up the road. Chiffchaff calling, lots of Widgeon whistling but no Black-tailed Godwit, there were several hundred earlier last week, apparently.
A Wigeon pair in flight, there were many more on the water of the flooded fen
There was also a distant piping Redshank and the Merlin app picked up the sound of a Green-winged Teal (it’s perhaps the same American vagrant we’ve seen here over the last two or three years; previously, there has also been a Blue-winged Teal). There had also been Dunlin and similar species there but I couldn’t see them. There was a Sparrowhawk, known affectionately as a Sprawk to birders, that flew right over me and away with its familiar flap-flap-glide flight pattern.
Further round, the flood, a group of Greylag Geese hanging out with some Russian visitors – three White-fronted Geese. This species, Anser albifrons, might better be known as “white-faced” as you can see from the photos. But as is often the wont of naturalists names sometimes don’t quite match the species description.
The Berry Fen Three – White-fronted Geese, most likely visitors from GreenlandEuropean White-fronted Goose, a visitor from Russia
According to the BTO website: Two races of White-fronted Goose occur in the UK. A. albifrons (the European WfG) breeds in western Russia and is usually about 1000 to 2000 of them are found in the south and east of England in the winter. A. flavirostris breeds in western Greenland (the Greenland WfG) and about 10000-12000 of this subspecies usually spend the winter in the north and west of Britain and Ireland.
Back in February, DxO sent me a beta version of their PureRaw4 software to test drive ahead of the official launch in March. So, having used version 3 for years, I was keen to incorporate the upgrade into my workflow. I’ve pushed it to the limit with a high-speed, low-light photo of a Mute Swan landing on a lake. This is the final result, below you can read how I got there from a very noisy RAW file straight out of the camera.
This is the final denoised and processed image – Mute Swan Landing
The bottom line is that PureRaw4 does an excellent job of basically knocking out noise to the equivalent of about three whole stops of ISO, fixing various aberrations inherent in one’s camera-lens combinations, and also applying a degree of subtle sharpening. I wrote a short summary around the time of their official launch when they emerged from beta testing.
Preview of a RAW file straight out of the camera. Fast shutter (1/16000s) and so high ISO (6400). Zooming in on the Mute Swan’s head shows how noisy the original was.
My photography has various focal points – birds (flying and perched) snapped with a Sigma 150-600 on a Canon R7 and macro photos of moths, with a 90mm Tamron 1:1 lens, and commonly focus stacked. The focus-stacked output from the camera is JPEG, so inaccessible to PureRaw4 which requires a RAW file. But, the bird photos and landscapes, events, and architectural photography is always shot in RAW. So, a perfect fit for PureRaw4.
This image has been processed with PureRaw4 to remove noise without removing detail and to correct for known camera-lens errors automatically and sharpen accordingly. The level of noise has been massively reduced.
The biggest problem with the big lens is hand-holding, and I rarely take a tripod for various reasons. Anyway, when the light’s fading, and I’m keeping shutter speed short to freeze the avian action, the camera will ramp up lens sensitivity, the ISO, and that makes for more photographic noise. My Canon 7Dii was the worst, I never got on with that. I do wish I’d had PureRaw back then, it would’ve been a lifesaver. But, the R7 its mirrorless successor, is not particularly over-noisy, thank goodness. However, there is always room for improvement. And PureRaw4 does wonders for my twilight owl shots, for instance.
The same zoom on the image after a little processing with PaintShopPro to adjust levels and apply an unsharp mask.
Anyway, in terms of workflow, as I’ve mentioned you must be shooting in RAW. You will get the most from your photography if you take control in that way. RAW gives you all the information that the sensor captures in your shot. RAW is your digital negative.
So, my first step, having selected an appropriate shot I’d like to use from my downloaded photoshoot, is to open the RAW file. You might prefer to open multiple files or to import and process semi-automatically, but I prefer to work with one photo at a time. You let the software download the requisite files for your camera-lens combination. And, then choose your settings. I go for the high-end algorithm (DeepPrime XD2) and allow the software to do the default lens softness, vignetting and other fixes. PureRaw4 runs faster than its predecessor in tests.
Often my photos are at 600mm zoom on a 2/3 frame camera, with a shutter speed of less than 1/2000s, f/6.3 aperture almost by default and then whatever ISO the camera chooses. If it’s dusk or dull, that ISO number will inevitably be way too high and there will be noise. As per the Mute Swan photos example. I’d used a very short shutter speed, 1/16000s, which mean the ISO was at 6400 as the aperture is f/6.3 at this zoom. It’s like dropping three whole stops to ISO 800.
PureRaw4’s algorithm strips away the speckles without stripping away the detail. Its sharpening seems to do something rather subtle that enhances the photo, to my eye. It is worth pointing out that any digital manipulation leads to a technical loss of information, but our eyes don’t see information, they see details and patterns, light and shade, and an enhancement that may technically discard pixels will in the case of this kind of processing lead to a better image
PureRaw4 removes a lot of the noise from any photograph really well. The basic “camera-lens” corrections for your setup are very useful too and as I said, I just leave them at default, but you might get more out of your photos adjusting the sliders.
At this point, you can export the image processed by PureRaw4 as a faux RAW file in the format known as DNG. This is essentially a generic RAW format that can be opened in many photo editors as if it were an actual RAW file straight out of the camera. This means you can take the denoised image from PureRaw4 and start your usual editing process like you would with a standard RAW from your camera.
My usual approach at this point is simply to open the DNG file in my photo-editor (PaintShop Pro 2022 Ultimate) and let it do the RAW conversion. I might do a highlight retrieval or bump up the brightness at this point, to get a better final photo. PaintShop Pro has inbuilt denoising, but it’s relatively ineffective on the whole and I never use it.
My first processing step in PSP is to crop to the more precise composition I am after for the final image. I might also mirror an image of an animal so that it is facing to the right or flying left to right. Seems to be a better view of any creature to my eye unless there’s a good reason not to. DxO has a decent photo editor of its own, which I’ve not tested much. It and PSP and many of the other editors, let you adjust various parameters: Overall brightness, shadows, and highlights, saturation, vibrancy etc. You might also fix white balance if there’s a colour cast. Tools that do a “fill highlight” or boost “clarity” are quite useful too.
Fundamentally, the best approach to any adjustment is to push the sliders or percentages to the level where it looks too obvious that you’ve made a change, and it becomes brash or problematic and then draw them back down a notch or two so that the effect is still there but is much more subtle. The key is to process without making the photo look too painterly. I’d say that if you’re pushing anything beyond about 12%, then it might be time to abandon the photo unless it’s a precious one-off or record shot, and you don’t mind a bit of the painterly effect for the sake of having the shot rather than not.
Now that’s all done I might deal with distractions and use cloning or scratch removal tools to get rid of stray stems of grass and other things. Magic Fill in PSP does wonders for removing distractions and unwanted elements in a photo. It also helps if you’ve done a crop-rotate and ended up with empty triangles at each corner of your photo. Simply select the triangle and apply a Magic Fill and the space will be filled smartly with neighbouring texture, works great with background foliage, water, sky etc.
Once all that’s done, my final step is usually to resize the image for a particular purpose. For sharing on social media, I always resize to a pixel width of 2048, and save as a JPEG with 90% compression. This leads to less compression server side. Then I might apply a moderate “unsharp mask” to make the final image a little bit crisper, but also remembering my 12% rule. I then add my dB/ logo if the image is not destined for a client who requests images without logos or watermarks.
I should add that for denoising I have tried some of the online AI tools and perhaps DxO’s most prominent rival in this area, but they simply cannot compete for removing noise without removing detail. PureRaw4 offers subtle sharpening. If you’re hoping to reduce the effects of motion blur and other such problems in your photos, then you might need to turn to an alternative for that kind of sharpening. That said, I tend to use the DxO denoising and then run it through a (motion) blur-reduction tool.
UPDATE: My report of Orange Tip on 2024-03-17 may well have been the first reported nationally this year, according to our County Butterfly Recorder.
I saw my first Orange Tip (Anthocharis cardamines) of 2024 on 17th March in Cottenham patrolling a roadside verge (Broad Lane).
Archive photo of male Orange Tip on Cuckoo Flower
This was the first report for Cambridgeshire and Essex butterflies this year, apparently. I have to admit I’ve not kept a personal record of first sightings of this species, but the Cambs & Essex page does, so I can give you a list of previous years.
4 Apr 23, 24 Mar 22, 30 Mar 21, 26 Mar 20, 28 Mar 19, 17 Apr 18, 28 Mar 17, 8 Apr 16, 8 Apr 15, 24 Mar 14, 25 Apr 13, 26 Mar 12, 24 Mar 11, 11 Apr 10, 5 Apr 09, 21 Apr 08, 12 Apr 07.
So, it looks like my sighting is the earliest Orange Tip of the year in our Butterfly Conservation sector since they started recording public records on those pages. Previous earliest was three years where it appeared on 24 March, i.e. a week later. I posted on Twitter about the sighting and the tweet garnered a lot of interest.
Someone asked if there were wild brassicas, such as Cuckoo Flower (Cardamine pratensis) or Garlic Mustard (Alliaria petiolata) plants in bloom in our area. As far as I know, there aren’t. Indeed, the wildest it gets on that roadside verge is probably with the presence of Common Dandelion (Taraxacum officinale) and Common Daisy (Bellis perennis) unless someone has shaved it to the ground to make it all neat and tidy.
The lack of blooming wildflower brassicas (formerly known as crucifers) species, Cuckoo Flower or Garlic Mustard, could be a problem for early mating Orange Tips as the females are very choosy about the host plants on which they lay their eggs. They need large flowerheads from those wild brassicas and then generally plants that are growing in full sunlight. They don’t even like to fly through shade to find the plants, it seems.
Then there is the issue of egg colour and pheromones. When first laid, Orange Tip eggs are white but change to orange and then brown within days perhaps making their presence obvious to other females arriving at the flower. The female also covers her eggs with a pheromone that dissuades other females from laying eggs in the same bloom. This will benefit the larvae of both females as the original ones will not have competitors for food (the host plant’s seed pods), but also, the more recent eggs, and so younger larvae, will not be cannibalised by the older ones.
The weather patterns have been weird at this time of year for several years now. Think back to the warm days of March during lockdown. I’ve not seen any more Orange Tips yet, so this may have simply been a precocious male who may miss his chance of spreading his seed if no females appear soon. The main emergence may happen at the end of the month and into April, as is more usual.
The kind folks at DxO let me have a copy of the latest version of PureRaw ahead of launch last month and so I’ve been using that to process my RAW photos from my camera for a few weeks now. It does an excellent job of basically knocking out noise to the equivalent of about 3 stops of ISO.
So, if I were shooting birds in flight at dusk and the camera needed an ISO of 6400 to compensate for a short shutter speed, then PureRaw4 is giving me the photo as if I’d shot at ISO 800, which is a lot less noise than one gets at ISO 6400 on a 2/3 frame camera like the Canon R7, especially with my big Sigma lens zoomed in to 600mm across the fens. PureRaw adds a new level of sophistication in terms of the algorithm it uses to denoise your photos when compared to the previous version.
PureRaw4 also adds a nice, but subtle sharpening process to the denoising that does not destroy details nor add artefacts of the kind you often get with the more basic tools in photo editing packages. There are sliders for controlling the denoising process based on luminance or “forced details”, so while it can be an autonomous process you do have some control over how the output is generated.
There are lots of enhancements to the workflow for the software that simplify processing for photographers who have a stack of RAW files to process in a given session. Personally, I usually work with just a single photo at a time, but I can see that if I were running a big photo session that the new workflow would make for a much slicker job.
When you first load a photo into PureRaw4, it identifies the camera and lens combination you used and downloads a package that allows the software to improve lens softness, reduce vignetting and fix other aberrations known for that combination. It saves the information for the next photo, but when you load another photo where you swapped out the lens or used a different camera it will download that appropriate file to fine-tune the output.
Anyway, I’ve been testing this new version of PureRaw for about a month now and all my photographic output in that time including pictures of stork, starling murmurations and those photos of moths that were not focus-stacked, have all benefited considerably from its denoising. Check out shots on the Sciencebase blog as well as my social media.
So much of what shows up on social media, Threads in particular, it seems, is what might be referred to as “engagement bait”. It’s often inane or perhaps an inflammatory comment, it could be a boring or open-ended question, a reboots of stuff from other places that might be years old, some cliched statement with no qualification, for instance. It all seems like a rather pathetic and lame attempt to boost one’s reach and gain attention, to get interactions for the sake of interaction. I won’t embarass anyone by sharing examples, they’re endless anyway and it would take weeks.
The phrase “engagement bait” is itself a bit lame though. There must be a better phrase. “Interaction bait” is one alternative, but just as inept. We need something closerto “clickbait”. Perhaps “likeBait” or thinking of Donkey in Shrek, “PickMeBait”…or to abbreviate that “PickBait”. That’s it, PickBait!
First Oak Beauty of the year seen in the garden last night (6th March 2024). It’s a quite stunning creature, isn’t it? Sharp-eyed readers will note this is a geometer moth. So-called because their larvae (caterpillars), known as inchworms in the US, move in such a way as to give the appearance that they are measuring the earth, geo-meter, inch by inch.
This is a male Oak Beauty, you can tell from its enormous feathery antennae, which it often folds underneath its body to protect them.
You might also be thinking it looks like a Peppered Moth but with more colourful and more pronounced markings. Well, the Peppered Moth is a kissing cousin of this species, seen a little later in the year than peri-spring. The Oak Beauty is Biston strataria, the Peppered Moth is in the same genus, and is B. betularia. While the shape of the moth is very like the Peppered, the markings resemble those of some of the so-called carpet moths. By the way, they don’t eat carpets, but look decorative, like the luxury item that was a carpet back when the early lepidopterists were giving all these species their names.
In a recent incident that caught the attention of billions of users, a major social media platform (Facebook) experienced a widespread outage, leaving users unable to access their accounts for several hours. Many of them quickly migrated to their other social media accounts to gripe. Of course, as such disruption unfolds, initially users will perceive it as an individual issue, a problem with their phone or PC. We all occasionally get “session expired” notifications but are able to log back in to our apps, many people faced with this tried and were then told their password was incorrect and 2FA systems failed. It soon became apparent that this was a system-wide problem affecting all Facebook users.
The incident highlights an important lesson in recognizing systemic failures. Often, when faced with technical difficulties, individuals may assume that the issue lies with their own devices or accounts. However, as demonstrated in this case, persistent problems affecting numerous users indicate a broader issue with the platform itself.
The implications of such a widespread outage extend beyond inconvenience for users. First off, imagine not being able to use your social media and having to interact with the real world, chatting face-to-face with other humans, listening to bird song, smelling the roses, going for a walk in the fresh air!?!?!?! Whatever next?
Social media platforms do play a significant role in our lives and in modern communication, commerce, and information dissemination in general. When these platforms experience downtime on such a large scale, it disrupts not only individual users but also businesses, organizations, and even governments that rely on them for all kinds of activities including meeting social and healthcare needs in many instances.
Such incidents underscore the importance of strong infrastructure and contingency planning for technology companies. In an increasingly digital world, ensuring the reliability and resilience of their online services is important. Companies must invest in putting backup measures in place, in proactive monitoring systems, and rapid response protocols to minimize the impact of potential outages and so be in a position to resume normal service quickly. I mean, imagine having to spend more than an hour talking to other people face-to-face or taking a long walk, like maybe a mile or more!
UPDATE: I mentioned the murmurations to a choir friend, Sara, and bumped into her and her husband on the Fen. I warned them that, because it was very windy, we might not get such good murmurations as I’d mentioned before. But amazingly, as dusk rolled on, even though it wasn’t a bright sunset, we got some wonderful activity from a staggering half a million Starlings.
I chunk estimated numbers from my photos and the video at perhaps 400,000. However, I then fed some photos and video stills to Google Gemini AI and asked it to process, analyse, and count the birds. Gemini estimated the size of the flock in my video from a still capture as being 500,000. There were many more birds outside the video frame, so I suspect on this evening there were between 550,000 and 650,000 birds murmurating. ChatGPT got similar numbers from my photos. Microsoft Copilot simply told me the images were of murmurations and said it was too difficult to count the number of birds.
The main activity was very much over the reedbeds among which we stood rather than being half a mile away as occurred on my previous two visits. This made it hard to get the full murmuration in the camera frame at the level of zoom I had with me. So, the above video was done on my phone as a record.
The birds would whoosh over out heads at about 50 metres altitude. I warned the people around me not to look up with their mouths open and within a few minutes, my choir friend had undergone a full birding initiation with three deposits from above in quick succession. Amazing that I didn’t get splashed as I was standing only a metre or two away from her.
Anyway, the birds gathered in a very dense flock at about 17h50 and bedded down into the vast reedbed in front of the entrance to the reserve. There were undulations for a good ten minutes as it got darker and darker. At one point, a Merlin was reported to have caught one Starling on the wing. The other 199,999 were fine and had roosted down among the reeds by the time we departed.
At the end of February, I got wind of there being very large numbers of Common Starling murmurating at a local nature reserve – RSPB Ouse Fen (Earith). I got a few photos on an evening visit. There were probably half a million birds, it was quite astonishing. I based my estimate on counts I’ve done of photographs of smaller flocks and extrapolating to the huge patches of sky that were covered with birds on the evening.
I got some nice photos at sunset but my phone video was very smeary and low-res. So, a second visit was essential. Unfortunately, rumour had it that the numbers the next night were smaller, that some of the birds had moved to roosting over the Over side of RSPB Ouse Fen…nevertheless, Mrs Sciencebase and myself headed over to Earith on 3rd March.
Short-eared Owl “chasing” a Chinese Water Deer
It was a much better evening and definitey fewer Starlings, but still many tens of thousands. This time I got some decent video footage of the murmurations.
A pair of Cranes coming in to roost
We also ticked three Short-eared Owls, half a dozen Chinese Water Deer, heard numerous Cetti’s Warbler and saw just one, saw Great White Egret and Grey Heron, heard a couple of Bearded Reedling, and heard one or two booming Bitterns, lots of Geese, Cormorants, Reed Bunting, Widgeon calling, Little Grebe, Water Rail etc. The Cranes that had been displaying south of the car park on the gravel works land flew in to roost about a quarter of a mile in front of us as we watched the starling murmurations. It was a wonderful evening of nature watching.
Sunset over the Fen
I played my video to the Merlin app, although we all knew what birds we could hear, but it came back with Coot, Greylag Goose, Canada Goose, Cetti’s Warbler, Ring-necked Pheasant. It didn’t pick up Wigeon, Little Grebe, Reed Bunting, Bearded Reedling, which we had heard.
Sunset over RSPB Ouse Fen (Earith)
I opened up one of my stills with a huge flock across it and enlarged it on my laptop screen. I drew a square around a patch that I estimated had 100 birds in it. Double-checked and adjusted the size of the square to make sure it was very close to 100. I measured the square in pixels and then worked out how many such squares would fill the area of the photo filled with birds. It came to about 75000 birds. This assumes average density across the photo. There were probably areas outside the area of the photo that would be around 25000 birds. So, the biggest flock would be around 100000, there were probably about half the same number of birds in the air elsewhere. The previous evening of murmurations I’d have said there were 5-6 such flocks, so guesstimating at least half a million birds going to roost on this patch of the reserve.
A skeuomorph, derived from the Greek skeuos, meaning container or tool, and morphe, meaning shape, refers to a design element retaining attributes of older structures that are redundant in the current form. These elements serve to imbue novelty with familiarity, aiding users in understanding new devices or systems.
They’re not solely functional; aesthetic considerations often prompt their use. There are lots of examples: pottery adorned with imitation rivets reminiscent of metal pots, lightbulbs mimicking candle flames complete with a flickering effect, and software calendars and address books resembling their paper counterpartsplanners.
There are also auditory skeuomorphs, such as clicking sounds when you tap a “button” on a touchscreen. Indeed, the notion of buttons on a touchscreen is also an example of a skeuomorph. Another familiar auditory skeuomorph is the faked sound of a camera shutter moving in a device, such as a phone or digital camera, both of which lack a conventional, physical shutter.
Skeuomorph design cues have a practical and aesthetic component often helping to bridge the gap between an old familiar device and the present system with the aim of improving the user experience.
There are countless other examples of skeuomorphs:
The tiny, non-functional handle on a glass maple syrup bottle.
Embellishments on stone buildings reminiscent of construction features on wooden buildings
The graphical user interface of modern computing, which commonly emulates switches, toggles, dials, and buttons of conventional electrical and electronic devices. The file and folder symbols resembling pieces of paper and filing cabinets. Even the floppy disk icon that is used to represent the Save function. Screen-based typewriter keys that also click like a typewriter when tapped. An envelope symbol to represent email
Vinyl and other plastics patterned to resemble their earlier wooden counterparts in various areas, vehicle trim, flooring, furniture, wall coverings
Pushbutton telephones designed with a fake dial to resemble an earlier type of telephone. Dialtone sounds on digital phones that no longer require a dialtone for technological reasons
Electric kettles with the design of stove-top kettles
Velcro fastenings with a fake buckle overlay
Mock Tudor architecture
Faux leather
Distressed furniture
Fake stone facades and brick veneers
Artificial flowers and fake plastic trees
Animal print fabrics
Artificial turf
Leatherette
Scented fabric softeners, scented candles, air fresheners, perfumes, scents, eau de cologne
